From 392f8b1925a951b86da0d53f68d1874a38391f82 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 10:14:52 -0700 Subject: [PATCH 001/145] Add files via upload --- tanks_and_temples_loader.py | 478 ++++++++++++++++++++++++++++++++++++ 1 file changed, 478 insertions(+) create mode 100644 tanks_and_temples_loader.py diff --git a/tanks_and_temples_loader.py b/tanks_and_temples_loader.py new file mode 100644 index 000000000..766790af3 --- /dev/null +++ b/tanks_and_temples_loader.py @@ -0,0 +1,478 @@ +"""Loader for the Tanks & Temples dataset. + +See https://www.tanksandtemples.org/download/ for more information. +""" + +import os +from enum import auto, Enum +from pathlib import Path +from typing import Any, Dict, List, Optional, Tuple + +import numpy as np +import open3d +from gtsam import Cal3Bundler, Rot3, Pose3 +from dask.distributed import Client, Future + +import gtsfm.utils.io as io_utils +import gtsfm.utils.logger as logger_utils +from gtsfm.common.image import Image +from gtsfm.common.keypoints import Keypoints +from gtsfm.loader.loader_base import LoaderBase + + +_DEFAULT_IMAGE_HEIGHT_PX = 1080 +_DEFAULT_IMAGE_WIDTH_PX = 1920 + + +class MeshReconstructionType(Enum): + """Mesh reconstruction algorithm choices. + + The alpha shape [Edelsbrunner1983] is a generalization of a convex hull. + See Edelsbrunner and D. G. Kirkpatrick and R. Seidel: On the shape of a set of points in the plane, 1983. + https://www.cs.jhu.edu/~misha/Fall13b/Papers/Edelsbrunner93.pdf + + The ball pivoting algorithm (BPA) [Bernardini1999]. + See https://www.cs.jhu.edu/~misha/Fall13b/Papers/Bernardini99.pdf + + The Poisson surface reconstruction method [Kazhdan2006]. + See: M.Kazhdan and M. Bolitho and H. Hoppe: Poisson surface reconstruction, Eurographics, 2006. + See https://hhoppe.com/poissonrecon.pdf + """ + + ALPHA_SHAPE = auto() + BALL_PIVOTING = auto() + POISSION_SURFACE = auto() + + +class TanksAndTemplesLoader(LoaderBase): + def __init__( + self, + img_dir: str, + poses_fpath: str, + ply_fpath: str, + ply_alignment_fpath: str, + bounding_polyhedron_json_fpath: str, + ) -> None: + """Initializes image file paths and GT camera poses. + + There are two coordinate frames -- the COLMAP coordinate frame, and the GT LiDAR coordinate frame. + We move everything to the GT LiDAR coordinate frame. + + Args: + img_dir: Path to where images of a single scene are stored. + poses_fpath: Path to .log file containing COLMAP-reconstructed camera poses. + ply_fpath: + ply_alignment_fpath: The alignment text file contains the transformation matrix to align the COLMAP + reconstruction to the corresponding ground-truth point cloud. + bounding_polyhedron_json_fpath: Path to JSON file containing specification of bounding polyhedron + to crop the COLMAP reconstructed point cloud. + """ + self.ply_fpath = ply_fpath + self.bounding_polyhedron_json_fpath = bounding_polyhedron_json_fpath + self._image_paths = list(Path(img_dir).glob("*.jpg")) + + T = np.loadtxt(fname=ply_alignment_fpath) + self.T = Pose3(r=Rot3(T[:3,:3]), t=T[:3,3]) + print(self.T) + + self._use_gt_extrinsics = True + # The reconstructions are made with an "out of the box" COLMAP configuration and are available as *.ply + # files together with the camera poses (stored in *.log file format). + colmapTi_gt_dict = _parse_redwood_data_log_file(poses_fpath) + self.wTi_gt_dict = {k: self.T.compose(colmapTi) for k, colmapTi in colmapTi_gt_dict.items() } + + self._num_imgs = len(self.wTi_gt_dict) + + def __len__(self) -> int: + """The number of images in the dataset. + + Returns: + The number of images. + """ + return self._num_imgs + + def get_image_full_res(self, index: int) -> Image: + """Gets the image at the given index, at full resolution. + + Args: + index: The index to fetch. + + Returns: + The image at the query index. + + Raises: + IndexError: If an out-of-bounds image index is requested. + """ + if index < 0 or index >= len(self): + raise IndexError(f"Image index {index} is invalid") + + # All should have shape (1080, 1920, 3) + + img = io_utils.load_image(self._image_paths[index]) + + if img.height != _DEFAULT_IMAGE_HEIGHT_PX: + raise ValueError('') + if img.width != _DEFAULT_IMAGE_WIDTH_PX: + raise ValueError('') + return img + + def get_camera_intrinsics_full_res(self, index: int) -> Optional[Cal3Bundler]: + """Gets the camera intrinsics at the given index, valid for a full-resolution image. + + Sony A7SM2, 35.6 x 23.8 mm + + Args: + The index to fetch. + + Returns: + Intrinsics for the given camera. + """ + if index < 0 or index >= len(self): + raise IndexError("Image index is invalid") + + # Use synthetic camera. + H = _DEFAULT_IMAGE_HEIGHT_PX + W = _DEFAULT_IMAGE_WIDTH_PX + # Principal point offset: + cx = W / 2 + cy = H / 2 + # Focal length: + fx = 0.7 * W + + # if not self._use_gt_intrinsics: + # # get intrinsics from exif + # TODO(johnwlambert): Add Sony A7SM2 to sensor DB. + #intrinsics = io_utils.load_image(self._image_paths[index]).get_intrinsics_from_exif() + #import pdb; pdb.set_trace() + # else: + # intrinsics = self._calibrations[index] + + intrinsics = Cal3Bundler(fx, k1=0.0, k2=0.0, u0=cx, v0=cy) + return intrinsics + + def get_camera_pose(self, index: int) -> Optional[Pose3]: + """Gets the camera pose (in world coordinates) at the given index. + + Args: + index: The index to fetch. + + Returns: + The camera pose w_T_index. + """ + if index < 0 or index >= len(self): + raise IndexError("Image index is invalid") + + if not self._use_gt_extrinsics: + return None + + # wTi = self._wTi_list[index] + wTi = self.wTi_gt_dict[index] + return wTi + + def get_lidar_point_cloud(self) -> open3d.geometry.PointCloud: + """Returns ground-truth point cloud, captured using an industrial laser scanner.""" + return open3d.io.read_point_cloud(self.ply_fpath) + + def reconstruct_mesh( + self, + point_downsample_factor: int = 10, + crop_by_polyhedron: bool = True, + reconstruction_algorithm: MeshReconstructionType = MeshReconstructionType.ALPHA_SHAPE, + ) -> open3d.geometry.TriangleMesh: + """Reconstructs mesh from LiDAR PLY file. + + Args: + point_downsample_factor + crop_by_polyhedron: Whether to crop by a manually specified polyhedron, vs. simply + by range from global origin. + + Returns: + Reconstructed mesh. + """ + pcd = self.get_lidar_point_cloud() + pcd = pcd.transform(self.T) + if crop_by_polyhedron: + pass + pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) + + points, rgb = convert_colored_open3d_point_cloud_to_numpy(pcd) + if not crop_by_polyhedron: + max_radius = 4.0 + valid = np.linalg.norm(points, axis=1) < max_radius + points = points[valid] + rgb = rgb[valid] + points = points[::point_downsample_factor] + rgb = rgb[::point_downsample_factor] + pcd = create_colored_point_cloud_open3d(points, rgb) + pcd.estimate_normals() + + if reconstruction_algorithm == MeshReconstructionType.ALPHA_SHAPE: + alpha = 0.5 # 0.1 # 0.03 + print(f"alpha={alpha:.3f}") + mesh = open3d.geometry.TriangleMesh.create_from_point_cloud_alpha_shape(pcd, alpha) + mesh.compute_vertex_normals() + + elif reconstruction_algorithm == MeshReconstructionType.BALL_PIVOTING: + radii = [0.005, 0.01, 0.02, 0.04] + rec_mesh = open3d.geometry.TriangleMesh.create_from_point_cloud_ball_pivoting( + pcd, open3d.utility.DoubleVector(radii) + ) + + elif reconstruction_algorithm == MeshReconstructionType.POISSION_SURFACE: + mesh, densities = open3d.geometry.TriangleMesh.create_from_point_cloud_poisson(pcd, depth=9) + return mesh + + def generate_synthetic_correspondences( + self, + images: List[Future], + image_pairs: List[Tuple[int, int]], + ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: + """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. + + TODO: Make this a CorrespondenceGenerator class. + + Returns: + List of keypoints, one entry for each input image. + Putative correspondences as indices of keypoints, for pairs of images. Mapping from image pair + (i1,i2) to delayed task to compute putative correspondence indices. Correspondence indices + are represented by an array of shape (K,2), for K correspondences. + """ + mesh = self.reconstruct_mesh() + + camera_dict = {} + import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils + + keypoints_list = [] + putative_corr_idxs_dict = {} + + for (i1, i2) in image_pairs: + if i1 not in camera_dict: + camera_dict[i1] = self.get_camera(index=i1) + if i2 not in camera_dict: + camera_dict[i2] = self.get_camera(index=i2) + + # Sample a random 3d point. + pcd = mesh.sample_points_uniformly(number_of_points=2500) + #pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) + points = np.asarray(pcd.points) + + wTi_list = [camera_dict[i1].pose(), camera_dict[i2].pose()] + calibrations = [camera_dict[i1].calibration(), camera_dict[i1].calibration()] + + # TODO(johnwlambert): Vectorize this code. + for point in points: + + import pdb; pdb.set_trace() + point_cloud = np.reshape(point, (1,3)) + rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) + + # Visualize two frustums, point, and mesh + frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=10) + spheres = open3d_vis_utils.create_colored_spheres_open3d( + point_cloud, rgb, sphere_radius=4.0 + ) + open3d.visualization.draw_geometries([mesh, frustums, points]) + + # Try projecting into each camera. If inside FOV of both, keep. + for i in [i1,i2]: + # Get the camera associated with the measurement. + camera = camera_dict[i] + # Project to camera. + uv_reprojected, success_flag = camera.projectSafe(point3d) + # Check for projection error in camera. + if not success_flag: + continue + + # Raytrace backwards. + src = np.repeat(gt_camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) # At_i1A + drc = np.asarray([gt_camera.backproject(keypoints.coordinates[i], depth=1.0) - src[i, :] for i in range(num_kpts)]) + # Return unique cartesian locations where rays hit the mesh. + # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. + # intersections_locations: (M, 3), array of ray intersection locations. + intersections, keypoint_ind, _ = gt_scene_mesh.ray.intersects_location( + ray_origins=src, + ray_directions=drc, + multiple_hits=False + ) + + putative_corr_idxs_dict[(i1,i2)] = None + + return keypoints_list, putative_corr_idxs_dict + + +def crop_points_to_bounding_polyhedron(pcd: open3d.geometry.PointCloud, json_fpath: str) -> open3d.geometry.PointCloud: + """Crops a point cloud according to JSON-specified polyhedron crop bounds. + + Args: + pcd: Input point cloud. + json_fpath: Path to JSON file containing crop specification, including 'orthogonal_axis', + 'axis_min', 'axis_max', 'bounding_polygon'. + + Returns: + Cropped point cloud, according to `SelectionPolygonVolume`. + """ + vol = open3d.visualization.read_selection_polygon_volume(json_fpath) + cropped_pcd = vol.crop_point_cloud(pcd) + return cropped_pcd + + +def _parse_redwood_data_log_file(log_fpath: str) -> Dict[int, Pose3]: + """Parses camera poses provided in the "Redwood Data" log file format. + + Trajectory File (.log) format reference: http://redwood-data.org/indoor/fileformat.html + + Args: + log_fpath: Path to .log file containing COLMAP-reconstructed camera poses. + + Returns: + Mapping from camera index to camera pose. + """ + wTi_gt_dict = {} + with open(log_fpath, "r") as f: + data = f.readlines() + + # Every five lines are an item. + if len(data) % 5 != 0: + raise ValueError("Invalid log file format; must contain grouped 5-line entries.") + num_images = len(data) // 5 + + # The first line contains three numbers which store metadata. + # In a typical camera pose trajectory file, the third number of the metadata is the frame number of the + # corresponding depth image (starting from 1). + parse_metadata = lambda x: int(x.split(" ")[0]) + parse_matrix_row = lambda x: [float(val) for val in x.split(" ")] + + for i in range(num_images): + metadata = data[i * 5] + cam_idx = parse_metadata(metadata) + # The other four lines make up the homogeneous transformation matrix. + lines = data[(i * 5) + 1 : (i + 1) * 5] + # The transformation matrix maps a point from its local coordinates (in homogeneous form) + # to the world coordinates: p_w = wTi * p_i + wTi_gt = np.array([parse_matrix_row(line) for line in lines]) + wTi_gt_dict[cam_idx] = Pose3(wTi_gt) + return wTi_gt_dict + + +def create_colored_point_cloud_open3d(point_cloud: np.ndarray, rgb: np.ndarray) -> open3d.geometry.PointCloud: + """Render a point cloud as individual colored points, using Open3d. + + Args: + point_cloud: array of shape (N,3) representing 3d points. + rgb: uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. + + Returns: + pcd: Open3d geometry object representing a colored 3d point cloud. + """ + colors = rgb.astype(np.float64) / 255 + + pcd = open3d.geometry.PointCloud() + pcd.points = open3d.utility.Vector3dVector(point_cloud) + pcd.colors = open3d.utility.Vector3dVector(colors) + + return pcd + + +def convert_colored_open3d_point_cloud_to_numpy( +pointcloud: open3d.geometry.PointCloud, +) -> Tuple[np.ndarray, np.ndarray]: + """ + + Args: + pointcloud + + Returns: + points + rgb + """ + points = np.asarray(pointcloud.points) + rgb = np.asarray(pointcloud.colors) + # open3d stores the colors as [0,1] floats. + rgb = (rgb * 255).astype(np.uint8) + return points, rgb + + +img_dir = '/Users/johnlambert/Downloads/Barn' +log_fpath = '/Users/johnlambert/Downloads/Barn_COLMAP_SfM.log' +ply_fpath = '/Users/johnlambert/Downloads/Barn.ply' +#ply_fpath = '/Users/johnlambert/Downloads/Barn_COLMAP.ply' +ply_alignment_fpath = '/Users/johnlambert/Downloads/Barn_trans.txt' +bounding_polyhedron_json_fpath = '/Users/johnlambert/Downloads/Barn.json' + +# img_dir = "/Users/johnlambert/Downloads/Truck" +# log_fpath = "/Users/johnlambert/Downloads/Truck_COLMAP_SfM.log" +# ply_fpath = "/Users/johnlambert/Downloads/Truck.ply" +# ply_alignment_fpath = "/Users/johnlambert/Downloads/Truck_trans.txt" +# bounding_polyhedron_json_fpath = "/Users/johnlambert/Downloads/Truck.json" + +loader = TanksAndTemplesLoader( + img_dir=img_dir, + poses_fpath=log_fpath, + ply_fpath=ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, +) + +intrinsics = loader.get_camera_intrinsics_full_res(index=0) + +import gtsfm.utils.io as io_utils + + +# result = loader.generate_synthetic_correspondences( +# images = [], +# image_pairs = [(0,1)] +# ) + + + +# pcd = io_utils.read_point_cloud_from_ply(ply_fpath) + +pcd = loader.get_lidar_point_cloud() +#open3d.visualization.draw_geometries([pcd]) + +# mesh = loader.reconstruct_mesh() +#open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) + + +import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils + +geometries = [pcd] # [mesh] +for index in loader.wTi_gt_dict.keys(): + wTc = loader.get_camera_pose(index) + #import pdb; pdb.set_trace() + line_sets = open3d_vis_utils.draw_coordinate_frame(wTc=wTc, axis_length=1.0) + geometries.extend(line_sets) + + if index % 10 == 0: + open3d.visualization.draw_geometries(geometries) + +""" +Unit Test +(Pdb) p wTi_gt[0] +array([[-0.43321999, -0.05555365, -0.89957447, 3.24710662], +[ 0.05678138, 0.99443357, -0.08875668, 0.14032715], +[ 0.89949781, -0.08953024, -0.42765409, 0.55723886], +[ 0. , 0. , 0. , 1. ]]) +""" + + +i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, two_view_reports_dict = {}, {}, {}, {} + +""" +two_view_results_dict = run_two_view_estimator_as_futures( + client, + scene_optimizer.two_view_estimator, + keypoints_list, + putative_corr_idxs_dict, + intrinsics, + loader.get_relative_pose_priors(image_pair_indices), + loader.get_gt_cameras(), + gt_scene_mesh=self.loader.get_gt_scene_trimesh(), +) +""" + +# + + + + From 0977efbb8bd271e201346dfc7646ed877ebd1ebc Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 13:16:31 -0400 Subject: [PATCH 002/145] Rename tanks_and_temples_loader.py to gtsfm/loader/tanks_and_temples_loader.py --- .../loader/tanks_and_temples_loader.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename tanks_and_temples_loader.py => gtsfm/loader/tanks_and_temples_loader.py (100%) diff --git a/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py similarity index 100% rename from tanks_and_temples_loader.py rename to gtsfm/loader/tanks_and_temples_loader.py From 4d65e30fed9c6a59f41243849c8ddb1c44d13c3a Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 12:41:18 -0700 Subject: [PATCH 003/145] Add minimal Tanks and Temples Barn data files for unit tests --- tests/data/Barn.json | 31 + tests/data/Barn_COLMAP_SfM.log | 2050 ++++++++++++++++++++++++++++++++ tests/data/Barn_trans.txt | 4 + 3 files changed, 2085 insertions(+) create mode 100644 tests/data/Barn.json create mode 100644 tests/data/Barn_COLMAP_SfM.log create mode 100644 tests/data/Barn_trans.txt diff --git a/tests/data/Barn.json b/tests/data/Barn.json new file mode 100644 index 000000000..6a56c1ef6 --- /dev/null +++ b/tests/data/Barn.json @@ -0,0 +1,31 @@ +{ + "axis_max" : -2.5134000000000007, + "axis_min" : -34.430399999999999, + "bounding_polygon" : + [ + [ -16.852591729920281, 3.895802325141847, 0.0 ], + [ -11.135200946341929, 3.754112054454025, 0.0 ], + [ -11.013322229723768, 6.7348741029415331, 0.0 ], + [ -5.7507196201927995, 6.7204542966325933, 0.0 ], + [ -5.5108492653671446, 7.0281604243033149, 0.0 ], + [ -1.3832735517493147, 6.9838978884158802, 0.0 ], + [ -1.3624588738083565, 6.344285436399443, 0.0 ], + [ 3.4256693903696176, 6.1704954229717224, 0.0 ], + [ 3.2398419644147696, -5.3797694304872516, 0.0 ], + [ 0.023723443283972578, -5.2557590962303875, 0.0 ], + [ -0.012890327551935421, -4.3687529238006126, 0.0 ], + [ -1.566217016302704, -4.3002901912381786, 0.0 ], + [ -1.566217016302704, -4.8247949720232715, 0.0 ], + [ -1.566217016302704, -4.972253165234668, 0.0 ], + [ -5.8999332753117404, -4.8965178347077272, 0.0 ], + [ -5.9379263320352997, -4.090513356848156, 0.0 ], + [ -9.7234391455149272, -4.0704510176357216, 0.0 ], + [ -9.8622454616633863, -4.8148891920371319, 0.0 ], + [ -16.942496091870094, -4.5925733956393389, 0.0 ], + [ -16.809332308898405, 3.803264785524489, 0.0 ] + ], + "class_name" : "SelectionPolygonVolume", + "orthogonal_axis" : "Z", + "version_major" : 1, + "version_minor" : 0 +} diff --git a/tests/data/Barn_COLMAP_SfM.log b/tests/data/Barn_COLMAP_SfM.log new file mode 100644 index 000000000..06b8c7604 --- /dev/null +++ b/tests/data/Barn_COLMAP_SfM.log @@ -0,0 +1,2050 @@ +0 0 0 +-0.433219993583 -0.055553650375 -0.899574471120 3.247106620677 +0.056781376558 0.994433571044 -0.088756678939 0.140327149378 +0.899497811246 -0.089530244667 -0.427654092525 0.557238856010 +0.000000000000 0.000000000000 0.000000000000 1.000000000000 +1 1 0 +-0.432927226457 -0.056956541833 -0.899627683509 3.291183881964 +0.054634231604 0.994509230320 -0.089255204581 0.136356148787 +0.899771702894 -0.087791475384 -0.427438345870 0.475549297910 +0.000000000000 0.000000000000 0.000000000000 1.000000000000 +2 2 0 +-0.432847477093 -0.058245558942 -0.899583523881 3.332211762027 +0.052799004204 0.994559314195 -0.089799976072 0.119969350207 +0.899919622372 -0.086366807345 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+0.005458113288 0.008637188948 0.999947802621 -3.679934307062 +0.000000000000 0.000000000000 0.000000000000 1.000000000000 +408 408 0 +0.999998578503 -0.001243359378 -0.001138880768 0.153085314473 +0.001237861857 0.999987640802 -0.004815178254 -0.109546120894 +0.001144853690 0.004813761633 0.999987758430 -3.679672696997 +0.000000000000 0.000000000000 0.000000000000 1.000000000000 +409 409 0 +0.999999976378 -0.000008486075 -0.000217189465 0.151304612539 +0.000008489932 0.999999999806 0.000017754546 -0.109721479748 +0.000217189314 -0.000017756390 0.999999976257 -3.678743635705 +0.000000000000 0.000000000000 0.000000000000 1.000000000000 diff --git a/tests/data/Barn_trans.txt b/tests/data/Barn_trans.txt new file mode 100644 index 000000000..1a6066680 --- /dev/null +++ b/tests/data/Barn_trans.txt @@ -0,0 +1,4 @@ +-3.024223114080324848e+00 1.337200447181571550e-01 2.822018693855588012e+00 -8.033102841327895760e+00 +-2.824574281070231230e+00 -2.290640822308912528e-01 -3.016107720144580728e+00 6.856971949289079049e-01 +5.874257013764642293e-02 -4.130041718728730160e+00 2.586517244893801193e-01 -2.187313805091164554e+01 +0.000000000000000000e+00 0.000000000000000000e+00 0.000000000000000000e+00 1.000000000000000000e+00 From 5cfb8fc6be3dbf311cdcea507c4a3c008c2cdcf5 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 15:44:57 -0400 Subject: [PATCH 004/145] Rename tests/data/Barn.json to tests/data/tanks_and_temples_barn/Barn.json --- tests/data/{ => tanks_and_temples_barn}/Barn.json | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename tests/data/{ => tanks_and_temples_barn}/Barn.json (100%) diff --git a/tests/data/Barn.json b/tests/data/tanks_and_temples_barn/Barn.json similarity index 100% rename from tests/data/Barn.json rename to tests/data/tanks_and_temples_barn/Barn.json From a4b877521e0166a6e520430066a370861c4c2cb3 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 15:45:20 -0400 Subject: [PATCH 005/145] Rename tests/data/Barn_trans.txt to tests/data/tanks_and_temples_barn/Barn_trans.txt --- tests/data/{ => tanks_and_temples_barn}/Barn_trans.txt | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename tests/data/{ => tanks_and_temples_barn}/Barn_trans.txt (100%) diff --git a/tests/data/Barn_trans.txt b/tests/data/tanks_and_temples_barn/Barn_trans.txt similarity index 100% rename from tests/data/Barn_trans.txt rename to tests/data/tanks_and_temples_barn/Barn_trans.txt From 77b917884a5cc862578ab30f5c7355de530f0153 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 16:15:38 -0400 Subject: [PATCH 006/145] Update tanks_and_temples_loader.py --- gtsfm/loader/tanks_and_temples_loader.py | 65 ++++++++++-------------- 1 file changed, 27 insertions(+), 38 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 766790af3..5cd72ab02 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -72,14 +72,14 @@ def __init__( self._image_paths = list(Path(img_dir).glob("*.jpg")) T = np.loadtxt(fname=ply_alignment_fpath) - self.T = Pose3(r=Rot3(T[:3,:3]), t=T[:3,3]) - print(self.T) + self.lidar_T_colmap = Pose3(r=Rot3(T[:3,:3]), t=T[:3,3]) + print(self.lidar_T_colmap) self._use_gt_extrinsics = True # The reconstructions are made with an "out of the box" COLMAP configuration and are available as *.ply # files together with the camera poses (stored in *.log file format). colmapTi_gt_dict = _parse_redwood_data_log_file(poses_fpath) - self.wTi_gt_dict = {k: self.T.compose(colmapTi) for k, colmapTi in colmapTi_gt_dict.items() } + self.wTi_gt_dict = {k: self.lidar_T_colmap.compose(colmapTi) for k, colmapTi in colmapTi_gt_dict.items() } self._num_imgs = len(self.wTi_gt_dict) @@ -182,15 +182,15 @@ def reconstruct_mesh( """Reconstructs mesh from LiDAR PLY file. Args: - point_downsample_factor - crop_by_polyhedron: Whether to crop by a manually specified polyhedron, vs. simply - by range from global origin. + point_downsample_factor + crop_by_polyhedron: Whether to crop by a manually specified polyhedron, vs. simply + by range from global origin. Returns: - Reconstructed mesh. + Reconstructed mesh. """ pcd = self.get_lidar_point_cloud() - pcd = pcd.transform(self.T) + #pcd = pcd.transform(self.lidar_T_colmap) if crop_by_polyhedron: pass pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) @@ -257,7 +257,7 @@ def generate_synthetic_correspondences( points = np.asarray(pcd.points) wTi_list = [camera_dict[i1].pose(), camera_dict[i2].pose()] - calibrations = [camera_dict[i1].calibration(), camera_dict[i1].calibration()] + calibrations = [camera_dict[i1].calibration(), camera_dict[i2].calibration()] # TODO(johnwlambert): Vectorize this code. for point in points: @@ -267,31 +267,33 @@ def generate_synthetic_correspondences( rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) # Visualize two frustums, point, and mesh - frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=10) + frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) spheres = open3d_vis_utils.create_colored_spheres_open3d( - point_cloud, rgb, sphere_radius=4.0 + point_cloud, rgb, sphere_radius=0.5 ) - open3d.visualization.draw_geometries([mesh, frustums, points]) + open3d.visualization.draw_geometries([mesh] + frustums + spheres) # Try projecting into each camera. If inside FOV of both, keep. for i in [i1,i2]: # Get the camera associated with the measurement. camera = camera_dict[i] # Project to camera. - uv_reprojected, success_flag = camera.projectSafe(point3d) + uv_reprojected, success_flag = camera.projectSafe(point) # Check for projection error in camera. if not success_flag: continue + import pdb; pdb.set_trace() - # Raytrace backwards. - src = np.repeat(gt_camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) # At_i1A - drc = np.asarray([gt_camera.backproject(keypoints.coordinates[i], depth=1.0) - src[i, :] for i in range(num_kpts)]) + # Cast ray through keypoint back towards scene. + cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) + # Choose an arbitrary depth for the ray direction. + ray_dirs = np.asarray([camera.backproject(keypoints.coordinates[i], depth=1.0) - cam_center[i, :] for i in range(num_kpts)]) # Return unique cartesian locations where rays hit the mesh. # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. # intersections_locations: (M, 3), array of ray intersection locations. intersections, keypoint_ind, _ = gt_scene_mesh.ray.intersects_location( - ray_origins=src, - ray_directions=drc, + ray_origins=cam_center, + ray_directions=ray_dirs, multiple_hits=False ) @@ -418,11 +420,11 @@ def convert_colored_open3d_point_cloud_to_numpy( import gtsfm.utils.io as io_utils -# result = loader.generate_synthetic_correspondences( -# images = [], -# image_pairs = [(0,1)] -# ) - +result = loader.generate_synthetic_correspondences( + images = [], + image_pairs = [(0,1)] +) +exit() # pcd = io_utils.read_point_cloud_from_ply(ply_fpath) @@ -443,17 +445,9 @@ def convert_colored_open3d_point_cloud_to_numpy( line_sets = open3d_vis_utils.draw_coordinate_frame(wTc=wTc, axis_length=1.0) geometries.extend(line_sets) - if index % 10 == 0: - open3d.visualization.draw_geometries(geometries) + # if index % 10 == 0: +open3d.visualization.draw_geometries(geometries) -""" -Unit Test -(Pdb) p wTi_gt[0] -array([[-0.43321999, -0.05555365, -0.89957447, 3.24710662], -[ 0.05678138, 0.99443357, -0.08875668, 0.14032715], -[ 0.89949781, -0.08953024, -0.42765409, 0.55723886], -[ 0. , 0. , 0. , 1. ]]) -""" i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, two_view_reports_dict = {}, {}, {}, {} @@ -471,8 +465,3 @@ def convert_colored_open3d_point_cloud_to_numpy( ) """ -# - - - - From 7038d1817dfde5e6055fc4d388d410b4f842a43a Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 16:16:34 -0400 Subject: [PATCH 007/145] Rename tests/data/Barn_COLMAP_SfM.log to tests/data/tanks_and_temples_barn/Barn_COLMAP_SfM.log --- tests/data/{ => tanks_and_temples_barn}/Barn_COLMAP_SfM.log | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename tests/data/{ => tanks_and_temples_barn}/Barn_COLMAP_SfM.log (100%) diff --git a/tests/data/Barn_COLMAP_SfM.log b/tests/data/tanks_and_temples_barn/Barn_COLMAP_SfM.log similarity index 100% rename from tests/data/Barn_COLMAP_SfM.log rename to tests/data/tanks_and_temples_barn/Barn_COLMAP_SfM.log From 117fdc6ef4a9e1a5403a7ae91ffe131b074a5f09 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 16:18:10 -0400 Subject: [PATCH 008/145] Create test_tanks_and_temples_loader.py --- tests/loader/test_tanks_and_temples_loader.py | 45 +++++++++++++++++++ 1 file changed, 45 insertions(+) create mode 100644 tests/loader/test_tanks_and_temples_loader.py diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py new file mode 100644 index 000000000..cdfd99a4d --- /dev/null +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -0,0 +1,45 @@ +"""Unit tests for Tanks & Temple dataset loader. + +Author: John Lambert +""" + +import unittest +from pathlib import Path + +_TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "data" / "tanks_and_temples_barn" + + +class TanksAndTemplesLoaderTest(unittest.TestCase) + + def setUp(self) -> None: + + img_dir = _TEST_DATA_ROOT / 'Barn' + log_fpath = _TEST_DATA_ROOT / 'Barn_COLMAP_SfM.log' + ply_fpath = _TEST_DATA_ROOT / 'Barn.ply' + #ply_fpath = scene_data_dir / 'Barn_COLMAP.ply' + ply_alignment_fpath = _TEST_DATA_ROOT / 'Barn_trans.txt' + bounding_polyhedron_json_fpath = _TEST_DATA_ROOT / 'Barn.json' + + loader = TanksAndTemplesLoader( + img_dir=img_dir, + poses_fpath=log_fpath, + ply_fpath=ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, + ) + + def test_get_camera_intrinsics_full_res(self) -> None: + + intrinsics = loader.get_camera_intrinsics_full_res(index=0) + + def test_get_camera_pose(self) -> None: + + wTi = loader.get_camera_pose(index=0) + """ + Unit Test + (Pdb) p wTi_gt[0] + array([[-0.43321999, -0.05555365, -0.89957447, 3.24710662], + [ 0.05678138, 0.99443357, -0.08875668, 0.14032715], + [ 0.89949781, -0.08953024, -0.42765409, 0.55723886], + [ 0. , 0. , 0. , 1. ]]) + """ From 324fc9869708d498f822c42da7e789eb75c556c2 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 4 Jul 2023 16:20:08 -0400 Subject: [PATCH 009/145] Update test_tanks_and_temples_loader.py --- tests/loader/test_tanks_and_temples_loader.py | 68 +++++++++---------- 1 file changed, 34 insertions(+), 34 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index cdfd99a4d..75e333edd 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -9,37 +9,37 @@ _TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "data" / "tanks_and_temples_barn" -class TanksAndTemplesLoaderTest(unittest.TestCase) - - def setUp(self) -> None: - - img_dir = _TEST_DATA_ROOT / 'Barn' - log_fpath = _TEST_DATA_ROOT / 'Barn_COLMAP_SfM.log' - ply_fpath = _TEST_DATA_ROOT / 'Barn.ply' - #ply_fpath = scene_data_dir / 'Barn_COLMAP.ply' - ply_alignment_fpath = _TEST_DATA_ROOT / 'Barn_trans.txt' - bounding_polyhedron_json_fpath = _TEST_DATA_ROOT / 'Barn.json' - - loader = TanksAndTemplesLoader( - img_dir=img_dir, - poses_fpath=log_fpath, - ply_fpath=ply_fpath, - ply_alignment_fpath=ply_alignment_fpath, - bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, - ) - - def test_get_camera_intrinsics_full_res(self) -> None: - - intrinsics = loader.get_camera_intrinsics_full_res(index=0) - - def test_get_camera_pose(self) -> None: - - wTi = loader.get_camera_pose(index=0) - """ - Unit Test - (Pdb) p wTi_gt[0] - array([[-0.43321999, -0.05555365, -0.89957447, 3.24710662], - [ 0.05678138, 0.99443357, -0.08875668, 0.14032715], - [ 0.89949781, -0.08953024, -0.42765409, 0.55723886], - [ 0. , 0. , 0. , 1. ]]) - """ +class TanksAndTemplesLoaderTest(unittest.TestCase): + + def setUp(self) -> None: + + img_dir = _TEST_DATA_ROOT / 'Barn' + log_fpath = _TEST_DATA_ROOT / 'Barn_COLMAP_SfM.log' + ply_fpath = _TEST_DATA_ROOT / 'Barn.ply' + #ply_fpath = scene_data_dir / 'Barn_COLMAP.ply' + ply_alignment_fpath = _TEST_DATA_ROOT / 'Barn_trans.txt' + bounding_polyhedron_json_fpath = _TEST_DATA_ROOT / 'Barn.json' + + loader = TanksAndTemplesLoader( + img_dir=img_dir, + poses_fpath=log_fpath, + ply_fpath=ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, + ) + + def test_get_camera_intrinsics_full_res(self) -> None: + + intrinsics = loader.get_camera_intrinsics_full_res(index=0) + + def test_get_camera_pose(self) -> None: + + wTi = loader.get_camera_pose(index=0) + """ + Unit Test + (Pdb) p wTi_gt[0] + array([[-0.43321999, -0.05555365, -0.89957447, 3.24710662], + [ 0.05678138, 0.99443357, -0.08875668, 0.14032715], + [ 0.89949781, -0.08953024, -0.42765409, 0.55723886], + [ 0. , 0. , 0. , 1. ]]) + """ From 432daa941c068b341a9352cebf6912428b9df32c Mon Sep 17 00:00:00 2001 From: John Lambert Date: Sat, 8 Jul 2023 14:52:43 -0400 Subject: [PATCH 010/145] Update tanks_and_temples_loader.py --- gtsfm/loader/tanks_and_temples_loader.py | 209 +++++++++++++++++------ 1 file changed, 160 insertions(+), 49 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 5cd72ab02..9aa3fa5fc 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -10,14 +10,27 @@ import numpy as np import open3d +import trimesh from gtsam import Cal3Bundler, Rot3, Pose3 from dask.distributed import Client, Future +from trimesh import Trimesh + import gtsfm.utils.io as io_utils import gtsfm.utils.logger as logger_utils from gtsfm.common.image import Image from gtsfm.common.keypoints import Keypoints from gtsfm.loader.loader_base import LoaderBase +from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_base import KeypointAggregatorBase +from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_dedup import ( + KeypointAggregatorDedup, +) +from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_unique import ( + KeypointAggregatorUnique, +) +import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils + +logger = logger_utils.get_logger() _DEFAULT_IMAGE_HEIGHT_PX = 1080 @@ -226,11 +239,15 @@ def generate_synthetic_correspondences( self, images: List[Future], image_pairs: List[Tuple[int, int]], + deduplicate: bool = False ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. TODO: Make this a CorrespondenceGenerator class. + Args: + deduplicate: whether to de-duplicate with a single image the detections received from each image pair. + Returns: List of keypoints, one entry for each input image. Putative correspondences as indices of keypoints, for pairs of images. Mapping from image pair @@ -242,7 +259,10 @@ def generate_synthetic_correspondences( camera_dict = {} import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils - keypoints_list = [] + aggregator = KeypointAggregatorBase = ( + KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() + ) + keypoints_dict = {} putative_corr_idxs_dict = {} for (i1, i2) in image_pairs: @@ -250,57 +270,114 @@ def generate_synthetic_correspondences( camera_dict[i1] = self.get_camera(index=i1) if i2 not in camera_dict: camera_dict[i2] = self.get_camera(index=i2) - - # Sample a random 3d point. - pcd = mesh.sample_points_uniformly(number_of_points=2500) - #pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) - points = np.asarray(pcd.points) - - wTi_list = [camera_dict[i1].pose(), camera_dict[i2].pose()] - calibrations = [camera_dict[i1].calibration(), camera_dict[i2].calibration()] - - # TODO(johnwlambert): Vectorize this code. - for point in points: - - import pdb; pdb.set_trace() - point_cloud = np.reshape(point, (1,3)) - rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) - - # Visualize two frustums, point, and mesh - frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) - spheres = open3d_vis_utils.create_colored_spheres_open3d( - point_cloud, rgb, sphere_radius=0.5 - ) - open3d.visualization.draw_geometries([mesh] + frustums + spheres) - - # Try projecting into each camera. If inside FOV of both, keep. - for i in [i1,i2]: - # Get the camera associated with the measurement. - camera = camera_dict[i] - # Project to camera. - uv_reprojected, success_flag = camera.projectSafe(point) - # Check for projection error in camera. - if not success_flag: - continue - import pdb; pdb.set_trace() - - # Cast ray through keypoint back towards scene. - cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) - # Choose an arbitrary depth for the ray direction. - ray_dirs = np.asarray([camera.backproject(keypoints.coordinates[i], depth=1.0) - cam_center[i, :] for i in range(num_kpts)]) - # Return unique cartesian locations where rays hit the mesh. - # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. - # intersections_locations: (M, 3), array of ray intersection locations. - intersections, keypoint_ind, _ = gt_scene_mesh.ray.intersects_location( - ray_origins=cam_center, - ray_directions=ray_dirs, - multiple_hits=False + keypoints_i1, keypoints_i2, putative_corr_idxs = self.generate_synthetic_correspondences_for_image_pair( + camera_i1=camera_dict[i1], + camera_i2=camera_dict[i2], + mesh=mesh ) - - putative_corr_idxs_dict[(i1,i2)] = None + keypoints_dict[(i1,i2)] = (keypoints_i1, keypoints_i2) + putative_corr_idxs_dict[(i1,i2)] = putative_corr_idxs + keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) return keypoints_list, putative_corr_idxs_dict + def generate_synthetic_correspondences_for_image_pair(self, camera_i1, camera_i2, mesh: open3d.geometry.TriangleMesh) -> Keypoints: + """ """ + mesh_path = '/Users/johnlambert/Downloads/barn_trimesh.obj' + open3d.io.write_triangle_mesh(filename=mesh_path, mesh=mesh) + trimesh_mesh = load_from_trimesh(mesh_path) + + # Sample random 3d points. + pcd = mesh.sample_points_uniformly(number_of_points=20) + #pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) + points = np.asarray(pcd.points) + + wTi_list = [camera_i1.pose(), camera_i2.pose()] + calibrations = [camera_i1.calibration(), camera_i2.calibration()] + + keypoints_i1 = [] + keypoints_i2 = [] + + # TODO(johnwlambert): Vectorize this code. + for point in points: + + # Try projecting into each camera. If inside FOV of both, keep. + uv_i1 = verify_camera_fov_and_occlusion(camera_i1, point, trimesh_mesh, wTi_list, calibrations, mesh) + uv_i2 = verify_camera_fov_and_occlusion(camera_i2, point, trimesh_mesh, wTi_list, calibrations, mesh) + if uv_i1 is not None and uv_i2 is not None: + keypoints_i1.append(uv_i1) + keypoints_i2.append(uv_i2) + + num_kpts = len(keypoints_i1) + putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) + import pdb; pdb.set_trace() + + keypoints_i1 = Keypoints(np.array(keypoints_i1)) + keypoints_i2 = Keypoints(np.array(keypoints_i2)) + return keypoints_i1, keypoints_i2, putative_corr_idxs + + +def verify_camera_fov_and_occlusion(camera, point: np.ndarray, trimesh_mesh, wTi_list, calibrations, mesh) -> Optional[np.ndarray]: + """Verifies point lies within camera FOV and is unoccluded by mesh faces. + + Args: + camera + point: 3d point as (3,) array. + + Returns: + 2d keypoint as (2,) array. + """ + # Get the camera associated with the measurement. + # Project to camera. + uv_reprojected, success_flag = camera.projectSafe(point) + # Check for projection error in camera. + if not success_flag: + print("Skip failed: ", uv_reprojected, ", success: ", success_flag) + return None + + # keypoints.coordinates[i] + # Cast ray through keypoint back towards scene. + # cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) + cam_center = camera.pose().translation() + # Choose an arbitrary depth for the ray direction. + #ray_dirs = np.asarray([camera.backproject(uv_reprojected, depth=1.0) - cam_center[i, :] for i in range(num_kpts)]) + ray_dirs = point - camera.pose().translation() + line_set = _make_line_plot(cam_center, cam_center + ray_dirs) + # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) + + visualize: bool = False + # Return unique cartesian locations where rays hit the mesh. + # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. + # intersections_locations: (M, 3), array of ray intersection locations. + intersections, keypoint_ind, _ = trimesh_mesh.ray.intersects_location( + ray_origins=cam_center.reshape(1,3), + ray_directions=ray_dirs.reshape(1,3), + multiple_hits=False + ) + print("Point vs. intersect: ", point, intersections) + if intersections.shape[0] > 1 or intersections.shape[0] == 0: + import pdb; pdb.set_trace() + + if not np.allclose(intersections[0], point): + # There was a closer intersection along the ray than `point`, meaning `point` is occluded by the mesh. + return False + + visualize = True # False + if visualize: + point_cloud = np.reshape(point, (1,3)) + rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) + + # Visualize two frustums, point, and mesh + frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) + spheres = open3d_vis_utils.create_colored_spheres_open3d( + point_cloud, rgb, sphere_radius=0.5 + ) + open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) + + + return uv_reprojected + + def crop_points_to_bounding_polyhedron(pcd: open3d.geometry.PointCloud, json_fpath: str) -> open3d.geometry.PointCloud: """Crops a point cloud according to JSON-specified polyhedron crop bounds. @@ -356,6 +433,22 @@ def _parse_redwood_data_log_file(log_fpath: str) -> Dict[int, Pose3]: return wTi_gt_dict +def _make_line_plot(point1, point2): + """ """ + verts_worldfr = np.array([point1, point2]) + lines = [[0, 1]] + # color is in range [0,1] + color = (0,0,1) + colors = [color for i in range(len(lines))] + + line_set = open3d.geometry.LineSet( + points=open3d.utility.Vector3dVector(verts_worldfr), + lines=open3d.utility.Vector2iVector(lines), + ) + line_set.colors = open3d.utility.Vector3dVector(colors) + return line_set + + def create_colored_point_cloud_open3d(point_cloud: np.ndarray, rgb: np.ndarray) -> open3d.geometry.PointCloud: """Render a point cloud as individual colored points, using Open3d. @@ -394,6 +487,20 @@ def convert_colored_open3d_point_cloud_to_numpy( return points, rgb +def load_from_trimesh(mesh_path: str): + # Read in scene mesh as Trimesh object + if not Path(mesh_path).exists(): + raise FileNotFoundError(f"No mesh found at {mesh_path}") + mesh = trimesh.load(mesh_path, process=False, maintain_order=True) + logger.info( + "AstroVision loader read in mesh with %d vertices and %d faces.", + mesh.vertices.shape[0], + mesh.faces.shape[0], + ) + return mesh + + + img_dir = '/Users/johnlambert/Downloads/Barn' log_fpath = '/Users/johnlambert/Downloads/Barn_COLMAP_SfM.log' ply_fpath = '/Users/johnlambert/Downloads/Barn.ply' @@ -419,6 +526,10 @@ def convert_colored_open3d_point_cloud_to_numpy( import gtsfm.utils.io as io_utils +# Generate random image pairs. +# image_pairs = + +# Could enforce that they are roughly on the same side of an object. result = loader.generate_synthetic_correspondences( images = [], @@ -436,7 +547,7 @@ def convert_colored_open3d_point_cloud_to_numpy( #open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) -import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils + geometries = [pcd] # [mesh] for index in loader.wTi_gt_dict.keys(): From 581c6cb1e8cfa3e046a83dc4627ff369f74f0844 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Sat, 8 Jul 2023 17:33:06 -0400 Subject: [PATCH 011/145] Update tanks_and_temples_loader.py --- gtsfm/loader/tanks_and_temples_loader.py | 61 ++++++++++++++---------- 1 file changed, 36 insertions(+), 25 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 9aa3fa5fc..e87b08310 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -15,7 +15,7 @@ from dask.distributed import Client, Future from trimesh import Trimesh - +import gtsfm.common.types as gtsfm_types import gtsfm.utils.io as io_utils import gtsfm.utils.logger as logger_utils from gtsfm.common.image import Image @@ -153,12 +153,8 @@ def get_camera_intrinsics_full_res(self, index: int) -> Optional[Cal3Bundler]: fx = 0.7 * W # if not self._use_gt_intrinsics: - # # get intrinsics from exif - # TODO(johnwlambert): Add Sony A7SM2 to sensor DB. + # TODO(johnwlambert): Add Sony A7SM2 to sensor DB, and get intrinsics from exif. #intrinsics = io_utils.load_image(self._image_paths[index]).get_intrinsics_from_exif() - #import pdb; pdb.set_trace() - # else: - # intrinsics = self._calibrations[index] intrinsics = Cal3Bundler(fx, k1=0.0, k2=0.0, u0=cx, v0=cy) return intrinsics @@ -228,7 +224,7 @@ def reconstruct_mesh( elif reconstruction_algorithm == MeshReconstructionType.BALL_PIVOTING: radii = [0.005, 0.01, 0.02, 0.04] rec_mesh = open3d.geometry.TriangleMesh.create_from_point_cloud_ball_pivoting( - pcd, open3d.utility.DoubleVector(radii) + pcd, open3d.utility.DoubleVector(radii) ) elif reconstruction_algorithm == MeshReconstructionType.POISSION_SURFACE: @@ -259,7 +255,7 @@ def generate_synthetic_correspondences( camera_dict = {} import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils - aggregator = KeypointAggregatorBase = ( + aggregator: KeypointAggregatorBase = ( KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() ) keypoints_dict = {} @@ -277,18 +273,30 @@ def generate_synthetic_correspondences( ) keypoints_dict[(i1,i2)] = (keypoints_i1, keypoints_i2) putative_corr_idxs_dict[(i1,i2)] = putative_corr_idxs + print(f"Number of keypoints in {i1}: ", len(keypoints_i1)) keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) return keypoints_list, putative_corr_idxs_dict - def generate_synthetic_correspondences_for_image_pair(self, camera_i1, camera_i2, mesh: open3d.geometry.TriangleMesh) -> Keypoints: - """ """ + def generate_synthetic_correspondences_for_image_pair( + self, camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, mesh: open3d.geometry.TriangleMesh + ) -> Keypoints: + """Generates synthetic correspondences for image pair. + + Args: + camera_i1: First camera. + camera_i2: Second camera. + mesh: + + Returns: + Tuple of keypoints, and putative correspondence indices. + """ mesh_path = '/Users/johnlambert/Downloads/barn_trimesh.obj' open3d.io.write_triangle_mesh(filename=mesh_path, mesh=mesh) trimesh_mesh = load_from_trimesh(mesh_path) # Sample random 3d points. - pcd = mesh.sample_points_uniformly(number_of_points=20) + pcd = mesh.sample_points_uniformly(number_of_points=500) #pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) points = np.asarray(pcd.points) @@ -301,7 +309,7 @@ def generate_synthetic_correspondences_for_image_pair(self, camera_i1, camera_i2 # TODO(johnwlambert): Vectorize this code. for point in points: - # Try projecting into each camera. If inside FOV of both, keep. + # Try projecting into each camera. If inside FOV of both and unoccluded by mesh, keep. uv_i1 = verify_camera_fov_and_occlusion(camera_i1, point, trimesh_mesh, wTi_list, calibrations, mesh) uv_i2 = verify_camera_fov_and_occlusion(camera_i2, point, trimesh_mesh, wTi_list, calibrations, mesh) if uv_i1 is not None and uv_i2 is not None: @@ -310,19 +318,24 @@ def generate_synthetic_correspondences_for_image_pair(self, camera_i1, camera_i2 num_kpts = len(keypoints_i1) putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) - import pdb; pdb.set_trace() - keypoints_i1 = Keypoints(np.array(keypoints_i1)) - keypoints_i2 = Keypoints(np.array(keypoints_i2)) + keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) + keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) return keypoints_i1, keypoints_i2, putative_corr_idxs -def verify_camera_fov_and_occlusion(camera, point: np.ndarray, trimesh_mesh, wTi_list, calibrations, mesh) -> Optional[np.ndarray]: +def verify_camera_fov_and_occlusion( + camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, trimesh_mesh, wTi_list, calibrations, mesh +) -> Optional[np.ndarray]: """Verifies point lies within camera FOV and is unoccluded by mesh faces. Args: - camera + camera: Camera to use. point: 3d point as (3,) array. + trimesh_mesh: Trimesh mesh object to raycast against. + wTi_list: + calibrations + mesh: Returns: 2d keypoint as (2,) array. @@ -335,17 +348,13 @@ def verify_camera_fov_and_occlusion(camera, point: np.ndarray, trimesh_mesh, wTi print("Skip failed: ", uv_reprojected, ", success: ", success_flag) return None - # keypoints.coordinates[i] # Cast ray through keypoint back towards scene. # cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) cam_center = camera.pose().translation() # Choose an arbitrary depth for the ray direction. #ray_dirs = np.asarray([camera.backproject(uv_reprojected, depth=1.0) - cam_center[i, :] for i in range(num_kpts)]) ray_dirs = point - camera.pose().translation() - line_set = _make_line_plot(cam_center, cam_center + ray_dirs) - # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) - visualize: bool = False # Return unique cartesian locations where rays hit the mesh. # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. # intersections_locations: (M, 3), array of ray intersection locations. @@ -354,16 +363,19 @@ def verify_camera_fov_and_occlusion(camera, point: np.ndarray, trimesh_mesh, wTi ray_directions=ray_dirs.reshape(1,3), multiple_hits=False ) - print("Point vs. intersect: ", point, intersections) + if intersections.shape[0] > 1 or intersections.shape[0] == 0: import pdb; pdb.set_trace() + # TODO(johnwlambert): Tune this tolerance threshold to allow looser matches. if not np.allclose(intersections[0], point): # There was a closer intersection along the ray than `point`, meaning `point` is occluded by the mesh. - return False + return None - visualize = True # False + visualize = False if visualize: + line_set = _make_line_plot(cam_center, cam_center + ray_dirs) + # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) point_cloud = np.reshape(point, (1,3)) rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) @@ -378,7 +390,6 @@ def verify_camera_fov_and_occlusion(camera, point: np.ndarray, trimesh_mesh, wTi return uv_reprojected - def crop_points_to_bounding_polyhedron(pcd: open3d.geometry.PointCloud, json_fpath: str) -> open3d.geometry.PointCloud: """Crops a point cloud according to JSON-specified polyhedron crop bounds. From d274689086990b4d6b989875d53fb0f68e1fada9 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Sun, 9 Jul 2023 00:48:25 -0400 Subject: [PATCH 012/145] Update benchmark.yml --- .github/workflows/benchmark.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index d82542e44..8d8123245 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -23,6 +23,7 @@ jobs: [deep_front_end, notre-dame-20, 20, jpg, gdrive, colmap-loader, 760, false], [sift_front_end_astrovision, 2011205_rc3, 65, png, wget, astrovision, 1024, true], [deep_front_end_astrovision, 2011205_rc3, 65, png, wget, astrovision, 1024, true], + [synthetic_front_end, tanks-and-temples-barn-410, 3, jpg, wget, tanks-and-temples, 1080, true], ] defaults: run: From 346a7fe902dc71a82c5f95bb32d479aa1423542f Mon Sep 17 00:00:00 2001 From: John Lambert Date: Sun, 9 Jul 2023 00:58:17 -0400 Subject: [PATCH 013/145] Update execute_single_benchmark.sh --- .github/scripts/execute_single_benchmark.sh | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/.github/scripts/execute_single_benchmark.sh b/.github/scripts/execute_single_benchmark.sh index d8a57e1bb..06932e4d1 100755 --- a/.github/scripts/execute_single_benchmark.sh +++ b/.github/scripts/execute_single_benchmark.sh @@ -27,6 +27,8 @@ elif [ "$DATASET_NAME" == "skydio-501" ]; then elif [ "$DATASET_NAME" == "notre-dame-20" ]; then IMAGES_DIR=notre-dame-20/images COLMAP_FILES_DIRPATH=notre-dame-20/notre-dame-20-colmap +elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410"]; then + DATASET_ROOT="tanks_and_temples_barn" fi echo "Config: ${CONFIG_NAME}, Loader: ${LOADER_NAME}" @@ -66,4 +68,8 @@ elif [ "$LOADER_NAME" == "astrovision" ]; then --max_frame_lookahead $MAX_FRAME_LOOKAHEAD \ --max_resolution ${MAX_RESOLUTION} \ ${SHARE_INTRINSICS_ARG} +elif [ "$LOADER_NAME" == "tanks-and-temples" ]; then + python gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py \ + --config_name ${CONFIG_NAME}.yaml \ + --dataset_root $DATASET_ROOT fi From e8efe4d7bc356d290ef4ac934fd69f185ae23b9c Mon Sep 17 00:00:00 2001 From: John Lambert Date: Sun, 9 Jul 2023 00:58:29 -0400 Subject: [PATCH 014/145] Update download_single_benchmark.sh --- .github/scripts/download_single_benchmark.sh | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index c0661fa46..05e464def 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -62,6 +62,10 @@ function download_and_unzip_dataset_files { WGET_URL1=https://www.dropbox.com/s/q02mgq1unbw068t/2011205_rc3.zip WGET_URL2=https://github.com/johnwlambert/gtsfm-cache/releases/download/2011205_rc3_deep_front_end_cache/cache_rc3_deep.tar.gz ZIP_FNAME=2011205_rc3.zip + elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then + # Tanks and Temples Dataset, "Barn" scene. + WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn.zip + ZIP_FNAME=Tanks_and_Temples_Barn.zip fi # Download the data. @@ -125,6 +129,9 @@ function download_and_unzip_dataset_files { elif [ "$DATASET_NAME" == "2011205_rc3" ]; then unzip -qq 2011205_rc3.zip tar -xvf cache_rc3_deep.tar.gz + elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then + unzip -qq Tanks_and_Temples_Barn.zip + ls -ltrh . fi } From 40418ec2c796cceb1c83d78208032b6eef4ad78b Mon Sep 17 00:00:00 2001 From: John Lambert Date: Sun, 9 Jul 2023 01:32:29 -0400 Subject: [PATCH 015/145] Update execute_single_benchmark.sh --- .github/scripts/execute_single_benchmark.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/scripts/execute_single_benchmark.sh b/.github/scripts/execute_single_benchmark.sh index 06932e4d1..b5b68b6b7 100755 --- a/.github/scripts/execute_single_benchmark.sh +++ b/.github/scripts/execute_single_benchmark.sh @@ -27,8 +27,8 @@ elif [ "$DATASET_NAME" == "skydio-501" ]; then elif [ "$DATASET_NAME" == "notre-dame-20" ]; then IMAGES_DIR=notre-dame-20/images COLMAP_FILES_DIRPATH=notre-dame-20/notre-dame-20-colmap -elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410"]; then - DATASET_ROOT="tanks_and_temples_barn" +elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then + DATASET_ROOT="Tanks_and_Temples_Barn_410.zip" fi echo "Config: ${CONFIG_NAME}, Loader: ${LOADER_NAME}" From 1aadc035ef6da5ba245ffb9a2ddd4eeb36822a73 Mon Sep 17 00:00:00 2001 From: John Lambert Date: Sun, 9 Jul 2023 01:33:34 -0400 Subject: [PATCH 016/145] Update download_single_benchmark.sh --- .github/scripts/download_single_benchmark.sh | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index 05e464def..50123b8c8 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -64,8 +64,8 @@ function download_and_unzip_dataset_files { ZIP_FNAME=2011205_rc3.zip elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then # Tanks and Temples Dataset, "Barn" scene. - WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn.zip - ZIP_FNAME=Tanks_and_Temples_Barn.zip + WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip + ZIP_FNAME=Tanks_and_Temples_Barn_410.zip fi # Download the data. @@ -130,7 +130,7 @@ function download_and_unzip_dataset_files { unzip -qq 2011205_rc3.zip tar -xvf cache_rc3_deep.tar.gz elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then - unzip -qq Tanks_and_Temples_Barn.zip + unzip -qq Tanks_and_Temples_Barn_410.zip ls -ltrh . fi } From 888246d1164c2841d3b5a0bebac5cb32b16c8892 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 8 Jul 2023 23:51:49 -0700 Subject: [PATCH 017/145] Add correspondence generator for synthetic data --- gtsfm/configs/synthetic_front_end.yaml | 81 ++++++++++++ .../synthetic_correspondence_generator.py | 107 ++++++++++++++++ gtsfm/loader/tanks_and_temples_loader.py | 118 ++++-------------- ...e_optimizer_synthetic_tanks_and_temples.py | 51 ++++++++ 4 files changed, 263 insertions(+), 94 deletions(-) create mode 100644 gtsfm/configs/synthetic_front_end.yaml create mode 100644 gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py create mode 100644 gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml new file mode 100644 index 000000000..0b9089d0b --- /dev/null +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -0,0 +1,81 @@ +# Default deep front-end configuration. + +SceneOptimizer: + _target_: gtsfm.scene_optimizer.SceneOptimizer + save_gtsfm_data: True + save_two_view_correspondences_viz: False + save_3d_viz: True + pose_angular_error_thresh: 5 # degrees + + retriever: + _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever + max_frame_lookahead: 2 + + correspondence_generator: + _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator + dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 + scene_name: Barn + + two_view_estimator: + _target_: gtsfm.two_view_estimator.TwoViewEstimator + bundle_adjust_2view: True + eval_threshold_px: 4 # in px + ba_reproj_error_thresholds: [0.5] + bundle_adjust_2view_maxiters: 100 + + verifier: + _target_: gtsfm.frontend.verifier.ransac.Ransac + use_intrinsics_in_verification: True + estimation_threshold_px: 4 # for H/E/F estimators + + triangulation_options: + _target_: gtsfm.data_association.point3d_initializer.TriangulationOptions + mode: + _target_: gtsfm.data_association.point3d_initializer.TriangulationSamplingMode + value: NO_RANSAC + + inlier_support_processor: + _target_: gtsfm.two_view_estimator.InlierSupportProcessor + min_num_inliers_est_model: 15 + min_inlier_ratio_est_model: 0.1 + + multiview_optimizer: + _target_: gtsfm.multi_view_optimizer.MultiViewOptimizer + + # comment out to not run + view_graph_estimator: + _target_: gtsfm.view_graph_estimator.cycle_consistent_rotation_estimator.CycleConsistentRotationViewGraphEstimator + edge_error_aggregation_criterion: MEDIAN_EDGE_ERROR + + rot_avg_module: + _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging + + trans_avg_module: + _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM + robust_measurement_noise: True + projection_sampling_method: SAMPLE_INPUT_MEASUREMENTS + + data_association_module: + _target_: gtsfm.data_association.data_assoc.DataAssociation + min_track_len: 2 + triangulation_options: + _target_: gtsfm.data_association.point3d_initializer.TriangulationOptions + reproj_error_threshold: 10 + mode: + _target_: gtsfm.data_association.point3d_initializer.TriangulationSamplingMode + value: RANSAC_SAMPLE_UNIFORM + max_num_hypotheses: 100 + save_track_patches_viz: False + + bundle_adjustment_module: + _target_: gtsfm.bundle.bundle_adjustment.BundleAdjustmentOptimizer + reproj_error_thresholds: [10, 5, 3] # for (multistage) post-optimization filtering + robust_measurement_noise: True + shared_calib: False + cam_pose3_prior_noise_sigma: 0.1 + calibration_prior_noise_sigma: 1e-5 + measurement_noise_sigma: 1.0 + + # comment out to not run + dense_multiview_optimizer: + _target_: gtsfm.densify.mvs_patchmatchnet.MVSPatchmatchNet diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py new file mode 100644 index 000000000..951292655 --- /dev/null +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -0,0 +1,107 @@ +"""Correspondence generator that utilizes direct matching of keypoints across an image pair, without descriptors. + +Authors: John Lambert +""" +import tempfile +from typing import Any, Dict, List, Optional, Tuple + +from dask.distributed import Client, Future +import numpy as np +import open3d + +from gtsfm.common.image import Image +from gtsfm.common.keypoints import Keypoints +from gtsfm.common.pose_prior import PosePrior +from gtsfm.common.types import CALIBRATION_TYPE, CAMERA_TYPE +from gtsfm.frontend.correspondence_generator.correspondence_generator_base import CorrespondenceGeneratorBase +from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_base import KeypointAggregatorBase +from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_dedup import ( + KeypointAggregatorDedup, +) +from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_unique import ( + KeypointAggregatorUnique, +) +from gtsfm.frontend.matcher.image_matcher_base import ImageMatcherBase +from gtsfm.two_view_estimator import TWO_VIEW_OUTPUT, TwoViewEstimator +from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader + + +class SyntheticCorrespondenceGenerator(CorrespondenceGeneratorBase): + """Pair-wise direct matching of images (e.g. transformer-based).""" + + def __init__(self, dataset_root: str, scene_name: str, deduplicate: bool = True) -> None: + """ + Args: + dataset_root: str + scene_name + deduplicate: whether to de-duplicate with a single image the detections received from each image pair. + """ + self._dataset_root = dataset_root + self._scene_name = scene_name + self._aggregator: KeypointAggregatorBase = ( + KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() + ) + + def generate_correspondences( + self, + client: Client, + images: List[Future], + image_pairs: List[Tuple[int, int]], + ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: + """Apply the correspondence generator to generate putative correspondences. + + Args: + client: dask client, used to execute the front-end as futures. + images: list of all images, as futures. + image_pairs: indices of the pairs of images to estimate two-view pose and correspondences. + + Returns: + List of keypoints, one entry for each input images. + Putative correspondence as indices of keypoints, for pairs of images. + """ + dataset_root = self._dataset_root + scene_name = self._scene_name + + img_dir = f'{dataset_root}/{scene_name}' + poses_fpath = f'{dataset_root}/{scene_name}_COLMAP_SfM.log' + lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' + colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' + ply_alignment_fpath = f'{dataset_root}/{scene_name}_trans.txt' + bounding_polyhedron_json_fpath = f'{dataset_root}/{scene_name}.json' + loader = TanksAndTemplesLoader( + img_dir=img_dir, + poses_fpath=poses_fpath, + lidar_ply_fpath=lidar_ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, + colmap_ply_fpath=colmap_ply_fpath, + ) + + loader_future = client.scatter(loader, broadcast=False) + mesh = loader.reconstruct_mesh() + # TODO(jolambert): File Open3d bug to add pickle support for TriangleMesh. + open3d_mesh_path = tempfile.NamedTemporaryFile(suffix='.obj').name + open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) + + # def apply_image_matcher( + # image_matcher: ImageMatcherBase, image_i1: Image, image_i2: Image + # ) -> Tuple[Keypoints, Keypoints]: + # return image_matcher.match(image_i1=image_i1, image_i2=image_i2) + + + pairwise_correspondence_futures = { + (i1, i2): client.submit(loader_future.generate_synthetic_correspondences_for_image_pair, + loader.get_camera(index=i1), + loader.get_camera(index=i2), + open3d_mesh_path + ) + for i1, i2 in image_pairs + } + + pairwise_correspondences: Dict[Tuple[int, int], Tuple[Keypoints, Keypoints]] = client.gather( + pairwise_correspondence_futures + ) + + keypoints_list, putative_corr_idxs_dict = self._aggregator.aggregate(keypoints_dict=pairwise_correspondences) + + return keypoints_list, putative_corr_idxs_dict diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index e87b08310..ae00b1f55 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -4,6 +4,7 @@ """ import os +import tempfile from enum import auto, Enum from pathlib import Path from typing import Any, Dict, List, Optional, Tuple @@ -62,9 +63,11 @@ def __init__( self, img_dir: str, poses_fpath: str, - ply_fpath: str, + lidar_ply_fpath: str, ply_alignment_fpath: str, bounding_polyhedron_json_fpath: str, + colmap_ply_fpath: str, + max_resolution: int = 1080, ) -> None: """Initializes image file paths and GT camera poses. @@ -74,19 +77,21 @@ def __init__( Args: img_dir: Path to where images of a single scene are stored. poses_fpath: Path to .log file containing COLMAP-reconstructed camera poses. - ply_fpath: + lidar_ply_fpath: ply_alignment_fpath: The alignment text file contains the transformation matrix to align the COLMAP reconstruction to the corresponding ground-truth point cloud. bounding_polyhedron_json_fpath: Path to JSON file containing specification of bounding polyhedron to crop the COLMAP reconstructed point cloud. + colmap_ply_fpath: """ - self.ply_fpath = ply_fpath + super().__init__(max_resolution) + self.ply_fpath = lidar_ply_fpath self.bounding_polyhedron_json_fpath = bounding_polyhedron_json_fpath self._image_paths = list(Path(img_dir).glob("*.jpg")) + # Load the transform between LiDAR global coordinate frame and COLMAP global coordinate frame. T = np.loadtxt(fname=ply_alignment_fpath) self.lidar_T_colmap = Pose3(r=Rot3(T[:3,:3]), t=T[:3,3]) - print(self.lidar_T_colmap) self._use_gt_extrinsics = True # The reconstructions are made with an "out of the box" COLMAP configuration and are available as *.ply @@ -239,8 +244,6 @@ def generate_synthetic_correspondences( ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. - TODO: Make this a CorrespondenceGenerator class. - Args: deduplicate: whether to de-duplicate with a single image the detections received from each image pair. @@ -251,6 +254,8 @@ def generate_synthetic_correspondences( are represented by an array of shape (K,2), for K correspondences. """ mesh = self.reconstruct_mesh() + open3d_mesh_path = tempfile.NamedTemporaryFile(suffix='.obj').name + open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) camera_dict = {} import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils @@ -269,8 +274,10 @@ def generate_synthetic_correspondences( keypoints_i1, keypoints_i2, putative_corr_idxs = self.generate_synthetic_correspondences_for_image_pair( camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], - mesh=mesh + open3d_mesh_fpath=open3d_mesh_path ) + num_kpts = len(keypoints_i1) + putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) keypoints_dict[(i1,i2)] = (keypoints_i1, keypoints_i2) putative_corr_idxs_dict[(i1,i2)] = putative_corr_idxs print(f"Number of keypoints in {i1}: ", len(keypoints_i1)) @@ -279,8 +286,11 @@ def generate_synthetic_correspondences( return keypoints_list, putative_corr_idxs_dict def generate_synthetic_correspondences_for_image_pair( - self, camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, mesh: open3d.geometry.TriangleMesh - ) -> Keypoints: + self, + camera_i1: gtsfm_types.CAMERA_TYPE, + camera_i2: gtsfm_types.CAMERA_TYPE, + open3d_mesh_fpath: str + ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. Args: @@ -289,11 +299,11 @@ def generate_synthetic_correspondences_for_image_pair( mesh: Returns: - Tuple of keypoints, and putative correspondence indices. + Tuple of keypoints. """ - mesh_path = '/Users/johnlambert/Downloads/barn_trimesh.obj' - open3d.io.write_triangle_mesh(filename=mesh_path, mesh=mesh) - trimesh_mesh = load_from_trimesh(mesh_path) + mesh = open3d.io.read_triangle_mesh(filename=open3d_mesh_fpath) + + trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) # Sample random 3d points. pcd = mesh.sample_points_uniformly(number_of_points=500) @@ -316,12 +326,9 @@ def generate_synthetic_correspondences_for_image_pair( keypoints_i1.append(uv_i1) keypoints_i2.append(uv_i2) - num_kpts = len(keypoints_i1) - putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) - keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) - return keypoints_i1, keypoints_i2, putative_corr_idxs + return keypoints_i1, keypoints_i2 def verify_camera_fov_and_occlusion( @@ -510,80 +517,3 @@ def load_from_trimesh(mesh_path: str): ) return mesh - - -img_dir = '/Users/johnlambert/Downloads/Barn' -log_fpath = '/Users/johnlambert/Downloads/Barn_COLMAP_SfM.log' -ply_fpath = '/Users/johnlambert/Downloads/Barn.ply' -#ply_fpath = '/Users/johnlambert/Downloads/Barn_COLMAP.ply' -ply_alignment_fpath = '/Users/johnlambert/Downloads/Barn_trans.txt' -bounding_polyhedron_json_fpath = '/Users/johnlambert/Downloads/Barn.json' - -# img_dir = "/Users/johnlambert/Downloads/Truck" -# log_fpath = "/Users/johnlambert/Downloads/Truck_COLMAP_SfM.log" -# ply_fpath = "/Users/johnlambert/Downloads/Truck.ply" -# ply_alignment_fpath = "/Users/johnlambert/Downloads/Truck_trans.txt" -# bounding_polyhedron_json_fpath = "/Users/johnlambert/Downloads/Truck.json" - -loader = TanksAndTemplesLoader( - img_dir=img_dir, - poses_fpath=log_fpath, - ply_fpath=ply_fpath, - ply_alignment_fpath=ply_alignment_fpath, - bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, -) - -intrinsics = loader.get_camera_intrinsics_full_res(index=0) - -import gtsfm.utils.io as io_utils - -# Generate random image pairs. -# image_pairs = - -# Could enforce that they are roughly on the same side of an object. - -result = loader.generate_synthetic_correspondences( - images = [], - image_pairs = [(0,1)] -) -exit() - - -# pcd = io_utils.read_point_cloud_from_ply(ply_fpath) - -pcd = loader.get_lidar_point_cloud() -#open3d.visualization.draw_geometries([pcd]) - -# mesh = loader.reconstruct_mesh() -#open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) - - - - -geometries = [pcd] # [mesh] -for index in loader.wTi_gt_dict.keys(): - wTc = loader.get_camera_pose(index) - #import pdb; pdb.set_trace() - line_sets = open3d_vis_utils.draw_coordinate_frame(wTc=wTc, axis_length=1.0) - geometries.extend(line_sets) - - # if index % 10 == 0: -open3d.visualization.draw_geometries(geometries) - - - -i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, two_view_reports_dict = {}, {}, {}, {} - -""" -two_view_results_dict = run_two_view_estimator_as_futures( - client, - scene_optimizer.two_view_estimator, - keypoints_list, - putative_corr_idxs_dict, - intrinsics, - loader.get_relative_pose_priors(image_pair_indices), - loader.get_gt_cameras(), - gt_scene_mesh=self.loader.get_gt_scene_trimesh(), -) -""" - diff --git a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py new file mode 100644 index 000000000..ed802712b --- /dev/null +++ b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py @@ -0,0 +1,51 @@ +"""Runs GTSfM on a Tanks and Temple dataset, using synthetic correspondences. + +Author: John Lambert +""" + +import argparse + +import gtsfm.utils.logger as logger_utils +from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader +from gtsfm.loader.loader_base import LoaderBase +from gtsfm.runner.gtsfm_runner_base import GtsfmRunnerBase + +logger = logger_utils.get_logger() + + +class GtsfmRunnerSyntheticTanksAndTemplesLoader(GtsfmRunnerBase): + tag = "GTSFM with LiDAR scans, COLMAP camera poses, and image names stored in Tanks and Temples format" + + def construct_argparser(self) -> argparse.ArgumentParser: + parser = super().construct_argparser() + + parser.add_argument("--dataset_root", type=str, required=True, help="Path to zip file containing packaged data.") + parser.add_argument("--scene_name", type=str, required=True, help="Name of dataset scene.") + + return parser + + def construct_loader(self) -> LoaderBase: + dataset_root = self.parsed_args.dataset_root + scene_name = self.parsed_args.scene_name + + img_dir = f'{dataset_root}/{scene_name}' + poses_fpath = f'{dataset_root}/{scene_name}_COLMAP_SfM.log' + lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' + colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' + ply_alignment_fpath = f'{dataset_root}/{scene_name}_trans.txt' + bounding_polyhedron_json_fpath = f'{dataset_root}/{scene_name}.json' + loader = TanksAndTemplesLoader( + img_dir=img_dir, + poses_fpath=poses_fpath, + lidar_ply_fpath=lidar_ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, + colmap_ply_fpath=colmap_ply_fpath, + max_resolution=self.parsed_args.max_resolution, + ) + return loader + + +if __name__ == "__main__": + runner = GtsfmRunnerSyntheticTanksAndTemplesLoader() + runner.run() From 7b8040912101f086c2cd3fd6f4ba31b0b0044b09 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 00:19:52 -0700 Subject: [PATCH 018/145] run on CI --- .github/scripts/download_single_benchmark.sh | 3 ++- .github/scripts/execute_single_benchmark.sh | 6 ++++-- gtsfm/configs/synthetic_front_end.yaml | 10 ++++++---- gtsfm/loader/tanks_and_temples_loader.py | 2 +- 4 files changed, 13 insertions(+), 8 deletions(-) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index 50123b8c8..20bbae4fe 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -131,7 +131,8 @@ function download_and_unzip_dataset_files { tar -xvf cache_rc3_deep.tar.gz elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then unzip -qq Tanks_and_Temples_Barn_410.zip - ls -ltrh . + pwd + pwd . fi } diff --git a/.github/scripts/execute_single_benchmark.sh b/.github/scripts/execute_single_benchmark.sh index b5b68b6b7..82d9daaf3 100755 --- a/.github/scripts/execute_single_benchmark.sh +++ b/.github/scripts/execute_single_benchmark.sh @@ -28,7 +28,8 @@ elif [ "$DATASET_NAME" == "notre-dame-20" ]; then IMAGES_DIR=notre-dame-20/images COLMAP_FILES_DIRPATH=notre-dame-20/notre-dame-20-colmap elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then - DATASET_ROOT="Tanks_and_Temples_Barn_410.zip" + DATASET_ROOT="Tanks_and_Temples_Barn_410" + SCENE_NAME="Barn" fi echo "Config: ${CONFIG_NAME}, Loader: ${LOADER_NAME}" @@ -71,5 +72,6 @@ elif [ "$LOADER_NAME" == "astrovision" ]; then elif [ "$LOADER_NAME" == "tanks-and-temples" ]; then python gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py \ --config_name ${CONFIG_NAME}.yaml \ - --dataset_root $DATASET_ROOT + --dataset_root $DATASET_ROOT \ + --scene_name $SCENE_NAME fi diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 0b9089d0b..84e046087 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -13,7 +13,9 @@ SceneOptimizer: correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator - dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 + #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 + dataset_root: Tanks_and_Temples_Barn_410 + #dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 scene_name: Barn two_view_estimator: @@ -76,6 +78,6 @@ SceneOptimizer: calibration_prior_noise_sigma: 1e-5 measurement_noise_sigma: 1.0 - # comment out to not run - dense_multiview_optimizer: - _target_: gtsfm.densify.mvs_patchmatchnet.MVSPatchmatchNet + # # comment out to not run + # dense_multiview_optimizer: + # _target_: gtsfm.densify.mvs_patchmatchnet.MVSPatchmatchNet diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index ae00b1f55..a3f2192ce 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -362,7 +362,7 @@ def verify_camera_fov_and_occlusion( #ray_dirs = np.asarray([camera.backproject(uv_reprojected, depth=1.0) - cam_center[i, :] for i in range(num_kpts)]) ray_dirs = point - camera.pose().translation() - # Return unique cartesian locations where rays hit the mesh. + # Returns the location of where a ray hits a surface mesh. # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. # intersections_locations: (M, 3), array of ray intersection locations. intersections, keypoint_ind, _ = trimesh_mesh.ray.intersects_location( From 6efbeb0d0459a510a7bb44cc1d32dbc5e7028a61 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 00:37:50 -0700 Subject: [PATCH 019/145] run in CI --- gtsfm/configs/synthetic_front_end.yaml | 4 ++-- .../synthetic_correspondence_generator.py | 14 +++++++++++--- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 84e046087..819ddb406 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -14,8 +14,8 @@ SceneOptimizer: correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 - dataset_root: Tanks_and_Temples_Barn_410 - #dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 + #dataset_root: Tanks_and_Temples_Barn_410 + dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 scene_name: Barn two_view_estimator: diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 951292655..4e0012a3a 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -24,6 +24,7 @@ from gtsfm.frontend.matcher.image_matcher_base import ImageMatcherBase from gtsfm.two_view_estimator import TWO_VIEW_OUTPUT, TwoViewEstimator from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader +from gtsfm.loader.loader_base import LoaderBase class SyntheticCorrespondenceGenerator(CorrespondenceGeneratorBase): @@ -77,7 +78,7 @@ def generate_correspondences( colmap_ply_fpath=colmap_ply_fpath, ) - loader_future = client.scatter(loader, broadcast=False) + mesh = loader.reconstruct_mesh() # TODO(jolambert): File Open3d bug to add pickle support for TriangleMesh. open3d_mesh_path = tempfile.NamedTemporaryFile(suffix='.obj').name @@ -88,9 +89,16 @@ def generate_correspondences( # ) -> Tuple[Keypoints, Keypoints]: # return image_matcher.match(image_i1=image_i1, image_i2=image_i2) - + + loader_future = client.scatter(loader, broadcast=False) + def apply_synthetic_corr_generator( + loader_: LoaderBase, camera_i1, camera_i2, open3d_mesh_fpath: str + ) -> Tuple[Keypoints, Keypoints]: + return loader_.generate_synthetic_correspondences_for_image_pair(camera_i1, camera_i2, open3d_mesh_fpath) + pairwise_correspondence_futures = { - (i1, i2): client.submit(loader_future.generate_synthetic_correspondences_for_image_pair, + (i1, i2): client.submit(apply_synthetic_corr_generator, + loader_future, loader.get_camera(index=i1), loader.get_camera(index=i2), open3d_mesh_path From af1d26e82ee883d82c825842a5550ac6e0c0ccf2 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 08:15:14 -0700 Subject: [PATCH 020/145] run w/ lookahead of 4 --- gtsfm/configs/synthetic_front_end.yaml | 2 +- gtsfm/loader/tanks_and_temples_loader.py | 49 +++--------------------- 2 files changed, 7 insertions(+), 44 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 819ddb406..06375d32a 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -9,7 +9,7 @@ SceneOptimizer: retriever: _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever - max_frame_lookahead: 2 + max_frame_lookahead: 4 correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index a3f2192ce..bcd1cb9cb 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -1,6 +1,8 @@ """Loader for the Tanks & Temples dataset. See https://www.tanksandtemples.org/download/ for more information. + +Author: John Lambert """ import os @@ -21,7 +23,6 @@ import gtsfm.utils.logger as logger_utils from gtsfm.common.image import Image from gtsfm.common.keypoints import Keypoints -from gtsfm.loader.loader_base import LoaderBase from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_base import KeypointAggregatorBase from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_dedup import ( KeypointAggregatorDedup, @@ -29,6 +30,7 @@ from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_unique import ( KeypointAggregatorUnique, ) +from gtsfm.loader.loader_base import LoaderBase import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils logger = logger_utils.get_logger() @@ -209,7 +211,7 @@ def reconstruct_mesh( pass pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) - points, rgb = convert_colored_open3d_point_cloud_to_numpy(pcd) + points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pcd) if not crop_by_polyhedron: max_radius = 4.0 valid = np.linalg.norm(points, axis=1) < max_radius @@ -217,7 +219,7 @@ def reconstruct_mesh( rgb = rgb[valid] points = points[::point_downsample_factor] rgb = rgb[::point_downsample_factor] - pcd = create_colored_point_cloud_open3d(points, rgb) + pcd = open3d_vis_utils.create_colored_point_cloud_open3d(points, rgb) pcd.estimate_normals() if reconstruction_algorithm == MeshReconstructionType.ALPHA_SHAPE: @@ -258,7 +260,6 @@ def generate_synthetic_correspondences( open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) camera_dict = {} - import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils aggregator: KeypointAggregatorBase = ( KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() @@ -451,7 +452,7 @@ def _parse_redwood_data_log_file(log_fpath: str) -> Dict[int, Pose3]: return wTi_gt_dict -def _make_line_plot(point1, point2): +def _make_line_plot(point1: np.ndarray, point2: np.ndarray) -> open3d.geometry.LineSet: """ """ verts_worldfr = np.array([point1, point2]) lines = [[0, 1]] @@ -467,44 +468,6 @@ def _make_line_plot(point1, point2): return line_set -def create_colored_point_cloud_open3d(point_cloud: np.ndarray, rgb: np.ndarray) -> open3d.geometry.PointCloud: - """Render a point cloud as individual colored points, using Open3d. - - Args: - point_cloud: array of shape (N,3) representing 3d points. - rgb: uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. - - Returns: - pcd: Open3d geometry object representing a colored 3d point cloud. - """ - colors = rgb.astype(np.float64) / 255 - - pcd = open3d.geometry.PointCloud() - pcd.points = open3d.utility.Vector3dVector(point_cloud) - pcd.colors = open3d.utility.Vector3dVector(colors) - - return pcd - - -def convert_colored_open3d_point_cloud_to_numpy( -pointcloud: open3d.geometry.PointCloud, -) -> Tuple[np.ndarray, np.ndarray]: - """ - - Args: - pointcloud - - Returns: - points - rgb - """ - points = np.asarray(pointcloud.points) - rgb = np.asarray(pointcloud.colors) - # open3d stores the colors as [0,1] floats. - rgb = (rgb * 255).astype(np.uint8) - return points, rgb - - def load_from_trimesh(mesh_path: str): # Read in scene mesh as Trimesh object if not Path(mesh_path).exists(): From 8fe66bf0be601bf2690e45344ec506a2613e3da0 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 08:15:52 -0700 Subject: [PATCH 021/145] use 700 synthetic points --- gtsfm/loader/tanks_and_temples_loader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index bcd1cb9cb..aae9ed199 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -307,7 +307,7 @@ def generate_synthetic_correspondences_for_image_pair( trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) # Sample random 3d points. - pcd = mesh.sample_points_uniformly(number_of_points=500) + pcd = mesh.sample_points_uniformly(number_of_points=700) #pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) points = np.asarray(pcd.points) From be50f6e3f4ce662bd9e2942297891dd191395085 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 21:48:47 -0700 Subject: [PATCH 022/145] Test vectorization --- gtsfm/loader/tanks_and_temples_loader.py | 141 +++++++++++++----- tests/loader/test_tanks_and_temples_loader.py | 104 +++++++++++-- 2 files changed, 197 insertions(+), 48 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index aae9ed199..c78e0a9c5 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -272,7 +272,7 @@ def generate_synthetic_correspondences( camera_dict[i1] = self.get_camera(index=i1) if i2 not in camera_dict: camera_dict[i2] = self.get_camera(index=i2) - keypoints_i1, keypoints_i2, putative_corr_idxs = self.generate_synthetic_correspondences_for_image_pair( + keypoints_i1, keypoints_i2 = self.generate_synthetic_correspondences_for_image_pair( camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], open3d_mesh_fpath=open3d_mesh_path @@ -290,24 +290,25 @@ def generate_synthetic_correspondences_for_image_pair( self, camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, - open3d_mesh_fpath: str + open3d_mesh_fpath: str, + num_sampled_3d_points: int = 1000 ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. Args: - camera_i1: First camera. - camera_i2: Second camera. - mesh: + camera_i1: First camera. + camera_i2: Second camera. + open3d_mesh_fpath Returns: - Tuple of keypoints. + Tuple of `Keypoints` objects, one for each image in the input image pair. """ mesh = open3d.io.read_triangle_mesh(filename=open3d_mesh_fpath) trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) # Sample random 3d points. - pcd = mesh.sample_points_uniformly(number_of_points=700) + pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) #pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) points = np.asarray(pcd.points) @@ -317,36 +318,121 @@ def generate_synthetic_correspondences_for_image_pair( keypoints_i1 = [] keypoints_i2 = [] - # TODO(johnwlambert): Vectorize this code. + # keypoints_i1, cam_i1_valid = compute_points_in_camera_fov(points, camera_i1) + # keypoints_i2, cam_i2_valid = compute_points_in_camera_fov(points, camera_i2) + # import pdb; pdb.set_trace() + # unoccluded_mask_i1 = calculate_point_occlusion_mask(points, camera_i1, trimesh_mesh) + # unoccluded_mask_i2 = calculate_point_occlusion_mask(points, camera_i2, trimesh_mesh) + # import pdb; pdb.set_trace() + # valid = cam_i1_valid & cam_i2_valid & unoccluded_mask_i1 & unoccluded_mask_i2 + # keypoints_i1 = keypoints_i1[valid] + # keypoints_i2 = keypoints_i2[valid] + + # TODO(johnwlambert): Vectorize this code. On CPU, rays cannot be simultaneously cast against mesh + # due to RAM limitations. for point in points: # Try projecting into each camera. If inside FOV of both and unoccluded by mesh, keep. - uv_i1 = verify_camera_fov_and_occlusion(camera_i1, point, trimesh_mesh, wTi_list, calibrations, mesh) - uv_i2 = verify_camera_fov_and_occlusion(camera_i2, point, trimesh_mesh, wTi_list, calibrations, mesh) + uv_i1 = verify_camera_fov_and_occlusion(camera_i1, point, trimesh_mesh) + uv_i2 = verify_camera_fov_and_occlusion(camera_i2, point, trimesh_mesh) if uv_i1 is not None and uv_i2 is not None: keypoints_i1.append(uv_i1) keypoints_i2.append(uv_i2) + + visualize = True + if visualize: + visualize_ray_to_sampled_mesh_point(camera_i1, point, wTi_list, calibrations, mesh) keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) + print(f"Generated {len(keypoints_i1)} keypoints from sampled {num_sampled_3d_points} 3d points.") return keypoints_i1, keypoints_i2 +def visualize_ray_to_sampled_mesh_point( + camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, wTi_list: List[Pose3], calibrations, mesh +) -> None: + """ + Args: + camera: Camera to use. + point: 3d point as (3,) array. + wTi_list: + calibrations + mesh: + """ + cam_center = camera.pose().translation() + ray_dirs = point - camera.pose().translation() + line_set = _make_line_plot(cam_center, cam_center + ray_dirs) + # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) + point_cloud = np.reshape(point, (1,3)) + rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) + + # Visualize two frustums, point, and mesh + frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) + spheres = open3d_vis_utils.create_colored_spheres_open3d( + point_cloud, rgb, sphere_radius=0.5 + ) + open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) + + + +# def compute_points_in_camera_fov(points: np.ndarray, camera: gtsfm_types.CAMERA_TYPE) -> Tuple[np.ndarray, np.ndarray]: +# """Project all 3d points to check if each lies within the camera field of view.. + +# Args: +# points: (N,3) array of 3d points. + +# Returns: +# Keypoints array of shape (N,2) and boolean mask array of shape (N,). +# """ +# N = points.shape[0] +# mask = np.zeros(N, dtype=bool) +# keypoints = np.zeros((N,2), dtype=np.float32) + +# for k, point in enumerate(points): +# # Project to camera. +# uv_reprojected, success_flag = camera.projectSafe(point) +# # Check for projection error in camera. +# mask[k] = success_flag +# keypoints[k] = uv_reprojected + +# return keypoints, mask + + +# def calculate_point_occlusion_mask(points: np.ndarray, camera: gtsfm_types.CAMERA_TYPE, trimesh_mesh) -> np.ndarray: +# """ """ +# N = points.shape[0] +# # Cast ray through keypoint back towards scene point. +# #cam_center = camera.pose().translation() +# cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), N, axis=0) +# ray_dirs = points - camera.pose().translation().reshape(1,3) + +# # Returns the location of where a ray hits a surface mesh. +# # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. +# # intersections_locations: (M, 3), array of ray intersection locations. +# intersections, keypoint_ind, _ = trimesh_mesh.ray.intersects_location( +# ray_origins=cam_center, +# ray_directions=ray_dirs, +# multiple_hits=False +# ) +# if intersections.shape[0] != N: +# raise ValueError(f"Invalid number of intersections {intersections.shape[0]} vs. {N}") +# unoccluded_mask = np.linalg.norm(intersections - points, axis=1) < 0.01 +# return unoccluded_mask + + def verify_camera_fov_and_occlusion( - camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, trimesh_mesh, wTi_list, calibrations, mesh + camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, trimesh_mesh, ) -> Optional[np.ndarray]: """Verifies point lies within camera FOV and is unoccluded by mesh faces. Args: - camera: Camera to use. - point: 3d point as (3,) array. - trimesh_mesh: Trimesh mesh object to raycast against. - wTi_list: - calibrations - mesh: + camera: Camera to use. + point: 3d point as (3,) array. + trimesh_mesh: Trimesh mesh object to raycast against. Returns: - 2d keypoint as (2,) array. + 2d keypoint as (2,) array. """ # Get the camera associated with the measurement. # Project to camera. @@ -380,21 +466,6 @@ def verify_camera_fov_and_occlusion( # There was a closer intersection along the ray than `point`, meaning `point` is occluded by the mesh. return None - visualize = False - if visualize: - line_set = _make_line_plot(cam_center, cam_center + ray_dirs) - # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) - point_cloud = np.reshape(point, (1,3)) - rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) - - # Visualize two frustums, point, and mesh - frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) - spheres = open3d_vis_utils.create_colored_spheres_open3d( - point_cloud, rgb, sphere_radius=0.5 - ) - open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) - - return uv_reprojected @@ -420,10 +491,10 @@ def _parse_redwood_data_log_file(log_fpath: str) -> Dict[int, Pose3]: Trajectory File (.log) format reference: http://redwood-data.org/indoor/fileformat.html Args: - log_fpath: Path to .log file containing COLMAP-reconstructed camera poses. + log_fpath: Path to .log file containing COLMAP-reconstructed camera poses. Returns: - Mapping from camera index to camera pose. + Mapping from camera index to camera pose. """ wTi_gt_dict = {} with open(log_fpath, "r") as f: diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 75e333edd..8bff9eed8 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -6,6 +6,8 @@ import unittest from pathlib import Path +from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader + _TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "data" / "tanks_and_temples_barn" @@ -14,27 +16,28 @@ class TanksAndTemplesLoaderTest(unittest.TestCase): def setUp(self) -> None: img_dir = _TEST_DATA_ROOT / 'Barn' - log_fpath = _TEST_DATA_ROOT / 'Barn_COLMAP_SfM.log' - ply_fpath = _TEST_DATA_ROOT / 'Barn.ply' - #ply_fpath = scene_data_dir / 'Barn_COLMAP.ply' + poses_fpath = _TEST_DATA_ROOT / 'Barn_COLMAP_SfM.log' + lidar_ply_fpath = _TEST_DATA_ROOT / 'Barn.ply' + colmap_ply_fpath = scene_data_dir / 'Barn_COLMAP.ply' ply_alignment_fpath = _TEST_DATA_ROOT / 'Barn_trans.txt' bounding_polyhedron_json_fpath = _TEST_DATA_ROOT / 'Barn.json' - loader = TanksAndTemplesLoader( - img_dir=img_dir, - poses_fpath=log_fpath, - ply_fpath=ply_fpath, - ply_alignment_fpath=ply_alignment_fpath, - bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, + self.loader = TanksAndTemplesLoader( + img_dir=img_dir, + poses_fpath=poses_fpath, + lidar_ply_fpath=lidar_ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, + colmap_ply_fpath=colmap_ply_fpath, ) def test_get_camera_intrinsics_full_res(self) -> None: - - intrinsics = loader.get_camera_intrinsics_full_res(index=0) + """ """ + intrinsics = self.loader.get_camera_intrinsics_full_res(index=0) def test_get_camera_pose(self) -> None: - - wTi = loader.get_camera_pose(index=0) + """ """ + wTi = self.loader.get_camera_pose(index=0) """ Unit Test (Pdb) p wTi_gt[0] @@ -43,3 +46,78 @@ def test_get_camera_pose(self) -> None: [ 0.89949781, -0.08953024, -0.42765409, 0.55723886], [ 0. , 0. , 0. , 1. ]]) """ + + + +dataset_root = '/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410' +scene_name = 'Barn' # 'Truck' + +img_dir = f'{dataset_root}/{scene_name}' +poses_fpath = f'{dataset_root}/{scene_name}_COLMAP_SfM.log' +lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' +colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' +ply_alignment_fpath = f'{dataset_root}/{scene_name}_trans.txt' +bounding_polyhedron_json_fpath = f'{dataset_root}/{scene_name}.json' +loader = TanksAndTemplesLoader( + img_dir=img_dir, + poses_fpath=poses_fpath, + lidar_ply_fpath=lidar_ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, + colmap_ply_fpath=colmap_ply_fpath, +) + +intrinsics = loader.get_camera_intrinsics_full_res(index=0) + +import gtsfm.utils.io as io_utils + +# Generate random image pairs. +# image_pairs = + +# Could enforce that they are roughly on the same side of an object. + +result = loader.generate_synthetic_correspondences( + images = [], + image_pairs = [(0,1)] +) +exit() + + +# pcd = io_utils.read_point_cloud_from_ply(ply_fpath) + +pcd = loader.get_lidar_point_cloud() +#open3d.visualization.draw_geometries([pcd]) + +# mesh = loader.reconstruct_mesh() +#open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) + + + + +geometries = [pcd] # [mesh] +for index in loader.wTi_gt_dict.keys(): + wTc = loader.get_camera_pose(index) + #import pdb; pdb.set_trace() + line_sets = open3d_vis_utils.draw_coordinate_frame(wTc=wTc, axis_length=1.0) + geometries.extend(line_sets) + + # if index % 10 == 0: +open3d.visualization.draw_geometries(geometries) + + + +i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, two_view_reports_dict = {}, {}, {}, {} + +""" +two_view_results_dict = run_two_view_estimator_as_futures( + client, + scene_optimizer.two_view_estimator, + keypoints_list, + putative_corr_idxs_dict, + intrinsics, + loader.get_relative_pose_priors(image_pair_indices), + loader.get_gt_cameras(), + gt_scene_mesh=self.loader.get_gt_scene_trimesh(), +) +""" + From 888f87848194a60db7d50a6c86df9535c81fb46d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 21:49:46 -0700 Subject: [PATCH 023/145] Remove vectorized code --- gtsfm/loader/tanks_and_temples_loader.py | 46 ------------------------ 1 file changed, 46 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index c78e0a9c5..d54c1961f 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -375,52 +375,6 @@ def visualize_ray_to_sampled_mesh_point( open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) - -# def compute_points_in_camera_fov(points: np.ndarray, camera: gtsfm_types.CAMERA_TYPE) -> Tuple[np.ndarray, np.ndarray]: -# """Project all 3d points to check if each lies within the camera field of view.. - -# Args: -# points: (N,3) array of 3d points. - -# Returns: -# Keypoints array of shape (N,2) and boolean mask array of shape (N,). -# """ -# N = points.shape[0] -# mask = np.zeros(N, dtype=bool) -# keypoints = np.zeros((N,2), dtype=np.float32) - -# for k, point in enumerate(points): -# # Project to camera. -# uv_reprojected, success_flag = camera.projectSafe(point) -# # Check for projection error in camera. -# mask[k] = success_flag -# keypoints[k] = uv_reprojected - -# return keypoints, mask - - -# def calculate_point_occlusion_mask(points: np.ndarray, camera: gtsfm_types.CAMERA_TYPE, trimesh_mesh) -> np.ndarray: -# """ """ -# N = points.shape[0] -# # Cast ray through keypoint back towards scene point. -# #cam_center = camera.pose().translation() -# cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), N, axis=0) -# ray_dirs = points - camera.pose().translation().reshape(1,3) - -# # Returns the location of where a ray hits a surface mesh. -# # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. -# # intersections_locations: (M, 3), array of ray intersection locations. -# intersections, keypoint_ind, _ = trimesh_mesh.ray.intersects_location( -# ray_origins=cam_center, -# ray_directions=ray_dirs, -# multiple_hits=False -# ) -# if intersections.shape[0] != N: -# raise ValueError(f"Invalid number of intersections {intersections.shape[0]} vs. {N}") -# unoccluded_mask = np.linalg.norm(intersections - points, axis=1) < 0.01 -# return unoccluded_mask - - def verify_camera_fov_and_occlusion( camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, trimesh_mesh, ) -> Optional[np.ndarray]: From 8d3b339d2b2998c9f071a3cc6e7b81325b4e2eca Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 22:35:50 -0700 Subject: [PATCH 024/145] flake8 fixes --- gtsfm/configs/synthetic_front_end.yaml | 1 - gtsfm/loader/tanks_and_temples_loader.py | 61 +++++++++++------------- 2 files changed, 29 insertions(+), 33 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 06375d32a..b9019d43a 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -14,7 +14,6 @@ SceneOptimizer: correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 - #dataset_root: Tanks_and_Temples_Barn_410 dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 scene_name: Barn diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index d54c1961f..bee029d21 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -5,18 +5,16 @@ Author: John Lambert """ -import os import tempfile from enum import auto, Enum from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple +from typing import Dict, List, Optional, Tuple import numpy as np import open3d import trimesh from gtsam import Cal3Bundler, Rot3, Pose3 from dask.distributed import Client, Future -from trimesh import Trimesh import gtsfm.common.types as gtsfm_types import gtsfm.utils.io as io_utils @@ -223,14 +221,14 @@ def reconstruct_mesh( pcd.estimate_normals() if reconstruction_algorithm == MeshReconstructionType.ALPHA_SHAPE: - alpha = 0.5 # 0.1 # 0.03 + alpha = 0.5 # 0.1 # 0.03 print(f"alpha={alpha:.3f}") mesh = open3d.geometry.TriangleMesh.create_from_point_cloud_alpha_shape(pcd, alpha) mesh.compute_vertex_normals() elif reconstruction_algorithm == MeshReconstructionType.BALL_PIVOTING: radii = [0.005, 0.01, 0.02, 0.04] - rec_mesh = open3d.geometry.TriangleMesh.create_from_point_cloud_ball_pivoting( + mesh = open3d.geometry.TriangleMesh.create_from_point_cloud_ball_pivoting( pcd, open3d.utility.DoubleVector(radii) ) @@ -247,7 +245,9 @@ def generate_synthetic_correspondences( """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. Args: - deduplicate: whether to de-duplicate with a single image the detections received from each image pair. + images: + image_pairs: Tuples (i1,i2) indicating image indices to use as image pairs. + deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. Returns: List of keypoints, one entry for each input image. @@ -281,7 +281,7 @@ def generate_synthetic_correspondences( putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) keypoints_dict[(i1,i2)] = (keypoints_i1, keypoints_i2) putative_corr_idxs_dict[(i1,i2)] = putative_corr_idxs - print(f"Number of keypoints in {i1}: ", len(keypoints_i1)) + print(f"Number of keypoints in image {i1}: ", len(keypoints_i1)) keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) return keypoints_list, putative_corr_idxs_dict @@ -291,7 +291,7 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, open3d_mesh_fpath: str, - num_sampled_3d_points: int = 1000 + num_sampled_3d_points: int = 700 ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. @@ -299,6 +299,7 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: First camera. camera_i2: Second camera. open3d_mesh_fpath + num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. Returns: Tuple of `Keypoints` objects, one for each image in the input image pair. @@ -318,31 +319,20 @@ def generate_synthetic_correspondences_for_image_pair( keypoints_i1 = [] keypoints_i2 = [] - # keypoints_i1, cam_i1_valid = compute_points_in_camera_fov(points, camera_i1) - # keypoints_i2, cam_i2_valid = compute_points_in_camera_fov(points, camera_i2) - # import pdb; pdb.set_trace() - # unoccluded_mask_i1 = calculate_point_occlusion_mask(points, camera_i1, trimesh_mesh) - # unoccluded_mask_i2 = calculate_point_occlusion_mask(points, camera_i2, trimesh_mesh) - # import pdb; pdb.set_trace() - # valid = cam_i1_valid & cam_i2_valid & unoccluded_mask_i1 & unoccluded_mask_i2 - # keypoints_i1 = keypoints_i1[valid] - # keypoints_i2 = keypoints_i2[valid] - # TODO(johnwlambert): Vectorize this code. On CPU, rays cannot be simultaneously cast against mesh # due to RAM limitations. for point in points: - - # Try projecting into each camera. If inside FOV of both and unoccluded by mesh, keep. + # Try projecting point into each camera. If inside FOV of both and unoccluded by mesh, keep. uv_i1 = verify_camera_fov_and_occlusion(camera_i1, point, trimesh_mesh) uv_i2 = verify_camera_fov_and_occlusion(camera_i2, point, trimesh_mesh) if uv_i1 is not None and uv_i2 is not None: keypoints_i1.append(uv_i1) keypoints_i2.append(uv_i2) - visualize = True - if visualize: - visualize_ray_to_sampled_mesh_point(camera_i1, point, wTi_list, calibrations, mesh) - + visualize = False + if visualize: + visualize_ray_to_sampled_mesh_point(camera_i1, point, wTi_list, calibrations, mesh) + keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) print(f"Generated {len(keypoints_i1)} keypoints from sampled {num_sampled_3d_points} 3d points.") @@ -350,13 +340,17 @@ def generate_synthetic_correspondences_for_image_pair( def visualize_ray_to_sampled_mesh_point( - camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, wTi_list: List[Pose3], calibrations, mesh + camera: gtsfm_types.CAMERA_TYPE, + point: np.ndarray, + wTi_list: List[Pose3], + calibrations, + mesh: open3d.geometry.TriangleMesh, ) -> None: """ Args: camera: Camera to use. point: 3d point as (3,) array. - wTi_list: + wTi_list: All camera poses. calibrations mesh: """ @@ -376,7 +370,7 @@ def visualize_ray_to_sampled_mesh_point( def verify_camera_fov_and_occlusion( - camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, trimesh_mesh, + camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, trimesh_mesh: trimesh.Trimesh, ) -> Optional[np.ndarray]: """Verifies point lies within camera FOV and is unoccluded by mesh faces. @@ -413,10 +407,13 @@ def verify_camera_fov_and_occlusion( ) if intersections.shape[0] > 1 or intersections.shape[0] == 0: - import pdb; pdb.set_trace() + print(f"Unknown failure: intersections= {intersections} with shape {intersections.shape}") + return None # TODO(johnwlambert): Tune this tolerance threshold to allow looser matches. - if not np.allclose(intersections[0], point): + eps = 0.1 + if not np.linalg.norm(intersections[0] - point) < eps: + # print("Skip occluded: ", intersections[0], ", vs. : ", point) # There was a closer intersection along the ray than `point`, meaning `point` is occluded by the mesh. return None @@ -493,13 +490,13 @@ def _make_line_plot(point1: np.ndarray, point2: np.ndarray) -> open3d.geometry.L return line_set -def load_from_trimesh(mesh_path: str): - # Read in scene mesh as Trimesh object +def load_from_trimesh(mesh_path: str) -> trimesh.Trimesh: + """Read in scene mesh as Trimesh object.""" if not Path(mesh_path).exists(): raise FileNotFoundError(f"No mesh found at {mesh_path}") mesh = trimesh.load(mesh_path, process=False, maintain_order=True) logger.info( - "AstroVision loader read in mesh with %d vertices and %d faces.", + "Tanks & Temples loader read in mesh with %d vertices and %d faces.", mesh.vertices.shape[0], mesh.faces.shape[0], ) From b6fdffb3064147a6450dc995c6aa65ba2bfad0a0 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 22:36:35 -0700 Subject: [PATCH 025/145] flake8 fixes --- .../synthetic_correspondence_generator.py | 28 ++++++------------- ...e_optimizer_synthetic_tanks_and_temples.py | 16 ++++++----- 2 files changed, 18 insertions(+), 26 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 4e0012a3a..b2445edb7 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -1,9 +1,9 @@ -"""Correspondence generator that utilizes direct matching of keypoints across an image pair, without descriptors. +"""Correspondence generator that creates synthetic keypoint correspondences using a 3d mesh. Authors: John Lambert """ import tempfile -from typing import Any, Dict, List, Optional, Tuple +from typing import Any, Dict, List, Tuple from dask.distributed import Client, Future import numpy as np @@ -11,7 +11,6 @@ from gtsfm.common.image import Image from gtsfm.common.keypoints import Keypoints -from gtsfm.common.pose_prior import PosePrior from gtsfm.common.types import CALIBRATION_TYPE, CAMERA_TYPE from gtsfm.frontend.correspondence_generator.correspondence_generator_base import CorrespondenceGeneratorBase from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_base import KeypointAggregatorBase @@ -21,21 +20,19 @@ from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_unique import ( KeypointAggregatorUnique, ) -from gtsfm.frontend.matcher.image_matcher_base import ImageMatcherBase -from gtsfm.two_view_estimator import TWO_VIEW_OUTPUT, TwoViewEstimator -from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader from gtsfm.loader.loader_base import LoaderBase +from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader class SyntheticCorrespondenceGenerator(CorrespondenceGeneratorBase): - """Pair-wise direct matching of images (e.g. transformer-based).""" + """Pair-wise synthetic keypoint correspondence generator.""" def __init__(self, dataset_root: str, scene_name: str, deduplicate: bool = True) -> None: """ Args: dataset_root: str - scene_name - deduplicate: whether to de-duplicate with a single image the detections received from each image pair. + scene_name: Name of scene from Tanks & Temples dataset. + deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. """ self._dataset_root = dataset_root self._scene_name = scene_name @@ -52,9 +49,9 @@ def generate_correspondences( """Apply the correspondence generator to generate putative correspondences. Args: - client: dask client, used to execute the front-end as futures. - images: list of all images, as futures. - image_pairs: indices of the pairs of images to estimate two-view pose and correspondences. + client: Dask client, used to execute the front-end as futures. + images: List of all images, as futures. + image_pairs: Indices of the pairs of images to estimate two-view pose and correspondences. Returns: List of keypoints, one entry for each input images. @@ -84,12 +81,6 @@ def generate_correspondences( open3d_mesh_path = tempfile.NamedTemporaryFile(suffix='.obj').name open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) - # def apply_image_matcher( - # image_matcher: ImageMatcherBase, image_i1: Image, image_i2: Image - # ) -> Tuple[Keypoints, Keypoints]: - # return image_matcher.match(image_i1=image_i1, image_i2=image_i2) - - loader_future = client.scatter(loader, broadcast=False) def apply_synthetic_corr_generator( loader_: LoaderBase, camera_i1, camera_i2, open3d_mesh_fpath: str @@ -111,5 +102,4 @@ def apply_synthetic_corr_generator( ) keypoints_list, putative_corr_idxs_dict = self._aggregator.aggregate(keypoints_dict=pairwise_correspondences) - return keypoints_list, putative_corr_idxs_dict diff --git a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py index ed802712b..45e5859f4 100644 --- a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py +++ b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py @@ -19,7 +19,9 @@ class GtsfmRunnerSyntheticTanksAndTemplesLoader(GtsfmRunnerBase): def construct_argparser(self) -> argparse.ArgumentParser: parser = super().construct_argparser() - parser.add_argument("--dataset_root", type=str, required=True, help="Path to zip file containing packaged data.") + parser.add_argument( + "--dataset_root", type=str, required=True, help="Path to zip file containing packaged data." + ) parser.add_argument("--scene_name", type=str, required=True, help="Name of dataset scene.") return parser @@ -28,12 +30,12 @@ def construct_loader(self) -> LoaderBase: dataset_root = self.parsed_args.dataset_root scene_name = self.parsed_args.scene_name - img_dir = f'{dataset_root}/{scene_name}' - poses_fpath = f'{dataset_root}/{scene_name}_COLMAP_SfM.log' - lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' - colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' - ply_alignment_fpath = f'{dataset_root}/{scene_name}_trans.txt' - bounding_polyhedron_json_fpath = f'{dataset_root}/{scene_name}.json' + img_dir = f"{dataset_root}/{scene_name}" + poses_fpath = f"{dataset_root}/{scene_name}_COLMAP_SfM.log" + lidar_ply_fpath = f"{dataset_root}/{scene_name}.ply" + colmap_ply_fpath = f"{dataset_root}/{scene_name}_COLMAP.ply" + ply_alignment_fpath = f"{dataset_root}/{scene_name}_trans.txt" + bounding_polyhedron_json_fpath = f"{dataset_root}/{scene_name}.json" loader = TanksAndTemplesLoader( img_dir=img_dir, poses_fpath=poses_fpath, From b3a652cc19cb1d0a6911826b42fcd92a3c9646d7 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 10 Jul 2023 22:39:59 -0700 Subject: [PATCH 026/145] style fix --- gtsfm/visualization/open3d_vis_utils.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/gtsfm/visualization/open3d_vis_utils.py b/gtsfm/visualization/open3d_vis_utils.py index ec644622c..1bc8442e0 100644 --- a/gtsfm/visualization/open3d_vis_utils.py +++ b/gtsfm/visualization/open3d_vis_utils.py @@ -43,8 +43,8 @@ def convert_colored_open3d_point_cloud_to_numpy( pointcloud Returns: - points - rgb + points: (N,3) float array representing 3d points. + rgb: (N,3) uint8 array representing per-point RGB colors. """ points = np.asarray(pointcloud.points) rgb = np.asarray(pointcloud.colors) @@ -61,12 +61,12 @@ def create_colored_spheres_open3d( Note: this is quite computationally expensive. Args: - point_cloud: array of shape (N,3) representing 3d points. + point_cloud: Array of shape (N,3) representing 3d points. rgb: uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. - sphere_radius: radius of each rendered sphere. + sphere_radius: Radius of each rendered sphere. Returns: - spheres: list of Open3d geometry objects, where each element (a sphere) represents a 3d point. + spheres: List of Open3d geometry objects, where each element (a sphere) represents a 3d point. """ colors = rgb.astype(np.float64) / 255 @@ -154,7 +154,7 @@ def draw_coordinate_frame(wTc: Pose3, axis_length: float = 1.0) -> List[open3d.g BLUE = np.array([0, 0, 1]) # z-axis colors = (RED, GREEN, BLUE) - # line segment on each axis will connect just 2 vertices. + # Line segment on each axis will connect just 2 vertices. lines = [[0, 1]] line_sets = [] From 1e5b58edc4f56a9d83aa541746869e1e7d0b941f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 11 Jul 2023 00:31:09 -0700 Subject: [PATCH 027/145] fix image order --- gtsfm/loader/tanks_and_temples_loader.py | 44 ++++++++++++++++++------ 1 file changed, 34 insertions(+), 10 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index bee029d21..00b0a08ee 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -87,7 +87,7 @@ def __init__( super().__init__(max_resolution) self.ply_fpath = lidar_ply_fpath self.bounding_polyhedron_json_fpath = bounding_polyhedron_json_fpath - self._image_paths = list(Path(img_dir).glob("*.jpg")) + self._image_paths = sorted(list(Path(img_dir).glob("*.jpg"))) # Load the transform between LiDAR global coordinate frame and COLMAP global coordinate frame. T = np.loadtxt(fname=ply_alignment_fpath) @@ -109,6 +109,10 @@ def __len__(self) -> int: """ return self._num_imgs + def get_image_fpath(self, index: int = 0) -> Path: + """ """ + return self._image_paths[index] + def get_image_full_res(self, index: int) -> Image: """Gets the image at the given index, at full resolution. @@ -124,14 +128,17 @@ def get_image_full_res(self, index: int) -> Image: if index < 0 or index >= len(self): raise IndexError(f"Image index {index} is invalid") - # All should have shape (1080, 1920, 3) - img = io_utils.load_image(self._image_paths[index]) + # All should have shape (1080, 1920, 3) if img.height != _DEFAULT_IMAGE_HEIGHT_PX: - raise ValueError('') + raise ValueError( + f'Images from the Tanks&Temples dataset should have height {_DEFAULT_IMAGE_HEIGHT_PX} px.' + ) if img.width != _DEFAULT_IMAGE_WIDTH_PX: - raise ValueError('') + raise ValueError( + f'Images from the Tanks&Temples dataset should have width {_DEFAULT_IMAGE_WIDTH_PX} px.' + ) return img def get_camera_intrinsics_full_res(self, index: int) -> Optional[Cal3Bundler]: @@ -282,6 +289,11 @@ def generate_synthetic_correspondences( keypoints_dict[(i1,i2)] = (keypoints_i1, keypoints_i2) putative_corr_idxs_dict[(i1,i2)] = putative_corr_idxs print(f"Number of keypoints in image {i1}: ", len(keypoints_i1)) + # import matplotlib.pyplot as plt + # img = self.get_image_full_res(index=0) + # plt.imshow(img.value_array.astype(np.uint8)) + # plt.scatter(keypoints_i1.coordinates[:,0], keypoints_i1.coordinates[:,1], 10, color='r', marker='.') + # plt.show() keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) return keypoints_list, putative_corr_idxs_dict @@ -305,7 +317,6 @@ def generate_synthetic_correspondences_for_image_pair( Tuple of `Keypoints` objects, one for each image in the input image pair. """ mesh = open3d.io.read_triangle_mesh(filename=open3d_mesh_fpath) - trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) # Sample random 3d points. @@ -346,7 +357,8 @@ def visualize_ray_to_sampled_mesh_point( calibrations, mesh: open3d.geometry.TriangleMesh, ) -> None: - """ + """Visualizes ray from camera center to 3d point, along with camera frustum, mesh, and 3d point as ball. + Args: camera: Camera to use. point: 3d point as (3,) array. @@ -354,18 +366,22 @@ def visualize_ray_to_sampled_mesh_point( calibrations mesh: """ + frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) + + # Create line segment to represent ray. cam_center = camera.pose().translation() ray_dirs = point - camera.pose().translation() line_set = _make_line_plot(cam_center, cam_center + ray_dirs) # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) + + # Plot 3d point as red sphere. point_cloud = np.reshape(point, (1,3)) rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) - - # Visualize two frustums, point, and mesh - frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) spheres = open3d_vis_utils.create_colored_spheres_open3d( point_cloud, rgb, sphere_radius=0.5 ) + + # Plot all camera frustums and mesh, with sphere and ray line segment. open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) @@ -390,6 +406,14 @@ def verify_camera_fov_and_occlusion( print("Skip failed: ", uv_reprojected, ", success: ", success_flag) return None + if (uv_reprojected[0] < 0) or \ + (uv_reprojected[0] > _DEFAULT_IMAGE_WIDTH_PX) or \ + (uv_reprojected[1] < 0) or \ + (uv_reprojected[1] > _DEFAULT_IMAGE_HEIGHT_PX): + # Outside of synthetic camera's FOV. + return None + # import pdb; pdb.set_trace() + # Cast ray through keypoint back towards scene. # cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) cam_center = camera.pose().translation() From 52b1140f2665c4a0cc19a3041a41c12aa7f348ff Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Thu, 13 Jul 2023 21:24:03 -0700 Subject: [PATCH 028/145] Fix config comment --- gtsfm/configs/synthetic_front_end.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index b9019d43a..f060b84d0 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -1,4 +1,4 @@ -# Default deep front-end configuration. +# Synthetic front-end configuration specifically for the Tanks & Temples dataset. SceneOptimizer: _target_: gtsfm.scene_optimizer.SceneOptimizer From e0186d01c86a17a2d903574a7da71fbc754cc6c4 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Thu, 13 Jul 2023 21:24:30 -0700 Subject: [PATCH 029/145] add unit test to make sure images are sorted as expected --- tests/loader/test_tanks_and_temples_loader.py | 42 +++++++++++++++++-- 1 file changed, 38 insertions(+), 4 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 8bff9eed8..fb9cc62c9 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -3,9 +3,11 @@ Author: John Lambert """ +import open3d import unittest from pathlib import Path +import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader _TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "data" / "tanks_and_temples_barn" @@ -47,6 +49,12 @@ def test_get_camera_pose(self) -> None: [ 0. , 0. , 0. , 1. ]]) """ + def test_get_image_fpath(self) -> None: + """ """ + fpath = self.loader.get_image_fpath(index = 0) + expected_fpath = '/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410/Barn/000001.jpg' + assert fpath == expected_fpath + dataset_root = '/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410' @@ -76,22 +84,45 @@ def test_get_camera_pose(self) -> None: # Could enforce that they are roughly on the same side of an object. +# import numpy as np +# # Project LiDAR point cloud into image 1. +# pcd = loader.get_lidar_point_cloud() +# points = np.asarray(pcd.points) + +# # Project mesh vertices into image 1. +# mesh = loader.reconstruct_mesh() +# points = np.asarray(mesh.vertices) + +# camera_i1 = loader.get_camera(index=0) + +# keypoints_i1 = [] +# for point in points: +# keypoints_i1.append(camera_i1.projectSafe(point)[0]) + +# keypoints_i1 = np.array(keypoints_i1) + +# import matplotlib.pyplot as plt +# img = loader.get_image_full_res(index=0) +# plt.imshow(img.value_array.astype(np.uint8)) +# plt.scatter(keypoints_i1[:,0], keypoints_i1[:,1], 10, color='r', marker='.', alpha=0.007) +# plt.show() + result = loader.generate_synthetic_correspondences( images = [], image_pairs = [(0,1)] ) exit() - +exit() # pcd = io_utils.read_point_cloud_from_ply(ply_fpath) -pcd = loader.get_lidar_point_cloud() + #open3d.visualization.draw_geometries([pcd]) -# mesh = loader.reconstruct_mesh() +# #open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) - +loader.get_image_full_res(index=0) geometries = [pcd] # [mesh] @@ -101,6 +132,9 @@ def test_get_camera_pose(self) -> None: line_sets = open3d_vis_utils.draw_coordinate_frame(wTc=wTc, axis_length=1.0) geometries.extend(line_sets) + if index == 0: + break + # if index % 10 == 0: open3d.visualization.draw_geometries(geometries) From 17031650caaa9cc1c6da6caff455c6f87bd1a998 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Thu, 13 Jul 2023 23:26:52 -0700 Subject: [PATCH 030/145] loransac 0.5 px, no 2-view BA --- gtsfm/two_view_estimator.py | 1 + 1 file changed, 1 insertion(+) diff --git a/gtsfm/two_view_estimator.py b/gtsfm/two_view_estimator.py index b8eb9ce73..8ecd24814 100644 --- a/gtsfm/two_view_estimator.py +++ b/gtsfm/two_view_estimator.py @@ -228,6 +228,7 @@ def __get_2view_report_from_results( R_error_deg, U_error_deg = compute_relative_pose_metrics( i2Ri1_computed, i2Ui1_computed, gt_camera_i1.pose(), gt_camera_i2.pose() ) + print(f"Two view estimator: [R error deg] {R_error_deg}, [U error deg] {U_error_deg}") # TODO: add support for other camera models if isinstance(gt_camera_i1, PinholeCameraCal3Bundler) and isinstance( gt_camera_i2, PinholeCameraCal3Bundler From cb318309708a8a6f18643495b686a59ed0edfffa Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Thu, 13 Jul 2023 23:27:30 -0700 Subject: [PATCH 031/145] measure 2 view errors w/ synthetic --- gtsfm/configs/synthetic_front_end.yaml | 6 +-- .../synthetic_correspondence_generator.py | 42 +++++++++++++++++-- 2 files changed, 42 insertions(+), 6 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index f060b84d0..dcde95ddd 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -19,15 +19,15 @@ SceneOptimizer: two_view_estimator: _target_: gtsfm.two_view_estimator.TwoViewEstimator - bundle_adjust_2view: True + bundle_adjust_2view: False eval_threshold_px: 4 # in px ba_reproj_error_thresholds: [0.5] bundle_adjust_2view_maxiters: 100 verifier: - _target_: gtsfm.frontend.verifier.ransac.Ransac + _target_: gtsfm.frontend.verifier.loransac.LoRansac use_intrinsics_in_verification: True - estimation_threshold_px: 4 # for H/E/F estimators + estimation_threshold_px: 0.5 # for H/E/F estimators triangulation_options: _target_: gtsfm.data_association.point3d_initializer.TriangulationOptions diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index b2445edb7..479492a84 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -83,16 +83,52 @@ def generate_correspondences( loader_future = client.scatter(loader, broadcast=False) def apply_synthetic_corr_generator( - loader_: LoaderBase, camera_i1, camera_i2, open3d_mesh_fpath: str + loader_: LoaderBase, camera_i1, camera_i2, open3d_mesh_fpath: str, i1: int, i2: int ) -> Tuple[Keypoints, Keypoints]: - return loader_.generate_synthetic_correspondences_for_image_pair(camera_i1, camera_i2, open3d_mesh_fpath) + keypoints_i1, keypoints_i2 = loader_.generate_synthetic_correspondences_for_image_pair(camera_i1, camera_i2, open3d_mesh_fpath) + + ########### + import numpy as np + from gtsam import Unit3 + from gtsfm.frontend.verifier.loransac import LoRansac + import gtsfm.utils.geometry_comparisons as geom_comp_utils + num_kpts = len(keypoints_i1) + match_indices = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) + wTi1 = loader_.get_camera_pose(index=i1) + wTi2 = loader_.get_camera_pose(index=i2) + + i2Ti1 = wTi2.between(wTi1) + i2Ri1_expected = i2Ti1.rotation() + i2Ui1_expected = Unit3(i2Ti1.translation()) + + camera_intrinsics_i1 = loader_.get_camera_intrinsics_full_res(index=i1) + camera_intrinsics_i2 = loader_.get_camera_intrinsics_full_res(index=i2) + + verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) + i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( + keypoints_i1, + keypoints_i2, + match_indices, + camera_intrinsics_i1, + camera_intrinsics_i2, + ) + + rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) + direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) + + print(f"Errors ({i1},{i2}): rotation {rot_angular_err:.4f}, direction {direction_angular_err:.4f}") + ################ + return keypoints_i1, keypoints_i2 + pairwise_correspondence_futures = { (i1, i2): client.submit(apply_synthetic_corr_generator, loader_future, loader.get_camera(index=i1), loader.get_camera(index=i2), - open3d_mesh_path + open3d_mesh_path, + i1, + i2 ) for i1, i2 in image_pairs } From 00c5d4f24918094f522d8eb9565759a80db87a81 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 14 Jul 2023 08:04:37 -0700 Subject: [PATCH 032/145] dont compute error for None two view geometry --- .../synthetic_correspondence_generator.py | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 479492a84..62f879e1c 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -112,11 +112,10 @@ def apply_synthetic_corr_generator( camera_intrinsics_i1, camera_intrinsics_i2, ) - - rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) - direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) - - print(f"Errors ({i1},{i2}): rotation {rot_angular_err:.4f}, direction {direction_angular_err:.4f}") + if i2Ri1_computed is not None and i2Ui1_computed is not None: + rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) + direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) + print(f"Errors ({i1},{i2}): rotation {rot_angular_err:.4f}, direction {direction_angular_err:.4f}") ################ return keypoints_i1, keypoints_i2 From 6687f8a31a336225d6b76bbe02cbb5f18d6944b2 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 00:43:41 -0700 Subject: [PATCH 033/145] fix resolution error --- .../synthetic_correspondence_generator.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 62f879e1c..f0aaffec7 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -103,7 +103,11 @@ def apply_synthetic_corr_generator( camera_intrinsics_i1 = loader_.get_camera_intrinsics_full_res(index=i1) camera_intrinsics_i2 = loader_.get_camera_intrinsics_full_res(index=i2) - + print("camera_intrinsics_i1: ", camera_intrinsics_i1) + print("camera_intrinsics_i2: ", camera_intrinsics_i2) + print(f"{i1} keypoints", keypoints_i1.coordinates) + print(f"{i2} keypoints", keypoints_i2.coordinates) + print(f"{i1} {i2}, match indices: ", match_indices) verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( keypoints_i1, @@ -112,6 +116,7 @@ def apply_synthetic_corr_generator( camera_intrinsics_i1, camera_intrinsics_i2, ) + print(f"{i1} {i2}, Verified indices: ", verified_indices_computed) if i2Ri1_computed is not None and i2Ui1_computed is not None: rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) From 5824974035228a414ed41d392ffeb43f0f49986b Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 00:44:22 -0700 Subject: [PATCH 034/145] fix resolution error --- .../keypoint_aggregator/keypoint_aggregator_dedup.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py index 651a13cec..c949a876f 100644 --- a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py +++ b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py @@ -101,6 +101,7 @@ def aggregate( ) putative_corr_idxs = np.stack([i1_indices, i2_indices], axis=-1).astype(np.uint16) putative_corr_idxs_dict[(i1, i2)] = putative_corr_idxs + print(f"putative_corr_idxs_dict: {i1} {i2}", putative_corr_idxs_dict) logger.info(f"Merged {self.duplicates_found} duplicates during de-duplication.") # Reset global state. @@ -109,5 +110,5 @@ def aggregate( keypoints_list: List[Keypoints] = [Keypoints(coordinates=np.array([]))] * (max_img_idx + 1) for i in per_image_kpt_coordinates.keys(): keypoints_list[i] = Keypoints(coordinates=per_image_kpt_coordinates[i]) - + print(f"keypoint agg {i}: ", keypoints_list[i].coordinates) return keypoints_list, putative_corr_idxs_dict From c70e937e3699199f1a47c5f8bfb2ccd000b2e8a9 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 00:44:40 -0700 Subject: [PATCH 035/145] fix resolution error --- .../keypoint_aggregator/keypoint_aggregator_dedup.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py index c949a876f..32ba4be94 100644 --- a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py +++ b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py @@ -101,7 +101,6 @@ def aggregate( ) putative_corr_idxs = np.stack([i1_indices, i2_indices], axis=-1).astype(np.uint16) putative_corr_idxs_dict[(i1, i2)] = putative_corr_idxs - print(f"putative_corr_idxs_dict: {i1} {i2}", putative_corr_idxs_dict) logger.info(f"Merged {self.duplicates_found} duplicates during de-duplication.") # Reset global state. @@ -110,5 +109,4 @@ def aggregate( keypoints_list: List[Keypoints] = [Keypoints(coordinates=np.array([]))] * (max_img_idx + 1) for i in per_image_kpt_coordinates.keys(): keypoints_list[i] = Keypoints(coordinates=per_image_kpt_coordinates[i]) - print(f"keypoint agg {i}: ", keypoints_list[i].coordinates) return keypoints_list, putative_corr_idxs_dict From 750e14707175a87676953701d5dea749de5d69db Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 00:45:04 -0700 Subject: [PATCH 036/145] remove print statements --- .../synthetic_correspondence_generator.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index f0aaffec7..857a3bb83 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -103,11 +103,6 @@ def apply_synthetic_corr_generator( camera_intrinsics_i1 = loader_.get_camera_intrinsics_full_res(index=i1) camera_intrinsics_i2 = loader_.get_camera_intrinsics_full_res(index=i2) - print("camera_intrinsics_i1: ", camera_intrinsics_i1) - print("camera_intrinsics_i2: ", camera_intrinsics_i2) - print(f"{i1} keypoints", keypoints_i1.coordinates) - print(f"{i2} keypoints", keypoints_i2.coordinates) - print(f"{i1} {i2}, match indices: ", match_indices) verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( keypoints_i1, @@ -116,7 +111,6 @@ def apply_synthetic_corr_generator( camera_intrinsics_i1, camera_intrinsics_i2, ) - print(f"{i1} {i2}, Verified indices: ", verified_indices_computed) if i2Ri1_computed is not None and i2Ui1_computed is not None: rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) From d4802dcd60bbd602acf330d9b10a396834c7740f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 00:45:23 -0700 Subject: [PATCH 037/145] fix resolution error --- gtsfm/two_view_estimator.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/gtsfm/two_view_estimator.py b/gtsfm/two_view_estimator.py index 8ecd24814..0806a822a 100644 --- a/gtsfm/two_view_estimator.py +++ b/gtsfm/two_view_estimator.py @@ -274,6 +274,11 @@ def run_2view( ) -> TWO_VIEW_OUTPUT: """Estimate relative pose between two views, using verification.""" # verification on putative correspondences to obtain relative pose and verified correspondences + print("Keypoints i1", keypoints_i1) + print("Keypoints i2", keypoints_i2) + print("putative corr idxs: ", putative_corr_idxs) + print("camera intrinsics i1: ", camera_intrinsics_i1) + print("camera intrinsics i2: ", camera_intrinsics_i2) (pre_ba_i2Ri1, pre_ba_i2Ui1, pre_ba_v_corr_idxs, pre_ba_inlier_ratio_wrt_estimate) = self._verifier.verify( keypoints_i1, keypoints_i2, @@ -281,6 +286,7 @@ def run_2view( camera_intrinsics_i1, camera_intrinsics_i2, ) + print("pre_ba_i2Ri1, pre_ba_i2Ui1, pre_ba_v_corr_idxs: ", pre_ba_i2Ri1, pre_ba_i2Ui1, pre_ba_v_corr_idxs) pre_ba_report = self.__get_2view_report_from_results( i2Ri1_computed=pre_ba_i2Ri1, From cbb68c5f784515c8715eea007e08c07b4c6f93c7 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 00:45:53 -0700 Subject: [PATCH 038/145] remove print statements --- gtsfm/two_view_estimator.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/gtsfm/two_view_estimator.py b/gtsfm/two_view_estimator.py index 0806a822a..8ecd24814 100644 --- a/gtsfm/two_view_estimator.py +++ b/gtsfm/two_view_estimator.py @@ -274,11 +274,6 @@ def run_2view( ) -> TWO_VIEW_OUTPUT: """Estimate relative pose between two views, using verification.""" # verification on putative correspondences to obtain relative pose and verified correspondences - print("Keypoints i1", keypoints_i1) - print("Keypoints i2", keypoints_i2) - print("putative corr idxs: ", putative_corr_idxs) - print("camera intrinsics i1: ", camera_intrinsics_i1) - print("camera intrinsics i2: ", camera_intrinsics_i2) (pre_ba_i2Ri1, pre_ba_i2Ui1, pre_ba_v_corr_idxs, pre_ba_inlier_ratio_wrt_estimate) = self._verifier.verify( keypoints_i1, keypoints_i2, @@ -286,7 +281,6 @@ def run_2view( camera_intrinsics_i1, camera_intrinsics_i2, ) - print("pre_ba_i2Ri1, pre_ba_i2Ui1, pre_ba_v_corr_idxs: ", pre_ba_i2Ri1, pre_ba_i2Ui1, pre_ba_v_corr_idxs) pre_ba_report = self.__get_2view_report_from_results( i2Ri1_computed=pre_ba_i2Ri1, From 9062f12c87e72ffe4ee1ccc8d9464e472ebfc3a5 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 01:12:53 -0700 Subject: [PATCH 039/145] fix resolution to 1080 --- .../run_scene_optimizer_synthetic_tanks_and_temples.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py index 45e5859f4..7496a04ad 100644 --- a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py +++ b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py @@ -13,6 +13,9 @@ logger = logger_utils.get_logger() +_TANKS_AND_TEMPLES_RESOLUTION_PX = 1080 + + class GtsfmRunnerSyntheticTanksAndTemplesLoader(GtsfmRunnerBase): tag = "GTSFM with LiDAR scans, COLMAP camera poses, and image names stored in Tanks and Temples format" @@ -43,7 +46,7 @@ def construct_loader(self) -> LoaderBase: ply_alignment_fpath=ply_alignment_fpath, bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, colmap_ply_fpath=colmap_ply_fpath, - max_resolution=self.parsed_args.max_resolution, + max_resolution=_TANKS_AND_TEMPLES_RESOLUTION_PX, ) return loader From 52ee7488dc80fb2efb96981eb3e4fcd12c96539d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 22:22:07 -0700 Subject: [PATCH 040/145] Remove 2-view error computation from the synthetic corr generator --- .../synthetic_correspondence_generator.py | 34 +------------------ 1 file changed, 1 insertion(+), 33 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 857a3bb83..ac43ce87f 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -85,39 +85,7 @@ def generate_correspondences( def apply_synthetic_corr_generator( loader_: LoaderBase, camera_i1, camera_i2, open3d_mesh_fpath: str, i1: int, i2: int ) -> Tuple[Keypoints, Keypoints]: - keypoints_i1, keypoints_i2 = loader_.generate_synthetic_correspondences_for_image_pair(camera_i1, camera_i2, open3d_mesh_fpath) - - ########### - import numpy as np - from gtsam import Unit3 - from gtsfm.frontend.verifier.loransac import LoRansac - import gtsfm.utils.geometry_comparisons as geom_comp_utils - num_kpts = len(keypoints_i1) - match_indices = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) - wTi1 = loader_.get_camera_pose(index=i1) - wTi2 = loader_.get_camera_pose(index=i2) - - i2Ti1 = wTi2.between(wTi1) - i2Ri1_expected = i2Ti1.rotation() - i2Ui1_expected = Unit3(i2Ti1.translation()) - - camera_intrinsics_i1 = loader_.get_camera_intrinsics_full_res(index=i1) - camera_intrinsics_i2 = loader_.get_camera_intrinsics_full_res(index=i2) - verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) - i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( - keypoints_i1, - keypoints_i2, - match_indices, - camera_intrinsics_i1, - camera_intrinsics_i2, - ) - if i2Ri1_computed is not None and i2Ui1_computed is not None: - rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) - direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) - print(f"Errors ({i1},{i2}): rotation {rot_angular_err:.4f}, direction {direction_angular_err:.4f}") - ################ - return keypoints_i1, keypoints_i2 - + return loader_.generate_synthetic_correspondences_for_image_pair(camera_i1, camera_i2, open3d_mesh_fpath) pairwise_correspondence_futures = { (i1, i2): client.submit(apply_synthetic_corr_generator, From 968d16a3cd8cdf01daf9d054eb17101437df0c1d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 22:22:57 -0700 Subject: [PATCH 041/145] fix shonan capitalization --- gtsfm/averaging/rotation/shonan.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/gtsfm/averaging/rotation/shonan.py b/gtsfm/averaging/rotation/shonan.py index d03a58bf8..db8842f47 100644 --- a/gtsfm/averaging/rotation/shonan.py +++ b/gtsfm/averaging/rotation/shonan.py @@ -102,7 +102,7 @@ def _run_with_consecutive_ordering( here in a sort of "wrapper". See https://github.com/borglab/gtsam/issues/784 for more details. Args: - num_connected_nodes: number of unique connected nodes (i.e. images) in the graph + num_connected_nodes: Number of unique connected nodes (i.e. images) in the graph (<= the number of images in the dataset) between_factors: BetweenFactorPose3s created from relative rotations from 2-view estimator and the priors. @@ -159,9 +159,9 @@ def run_rotation_averaging( camera in a single, global coordinate frame. Args: - num_images: number of images. Since we have one pose per image, it is also the number of poses. - i2Ri1_dict: relative rotations for each image pair-edge as dictionary (i1, i2): i2Ri1. - i1Ti2_priors: priors on relative poses. + num_images: Number of images. Since we have one pose per image, it is also the number of poses. + i2Ri1_dict: Relative rotations for each image pair-edge as dictionary (i1, i2): i2Ri1. + i1Ti2_priors: Priors on relative poses. Returns: Global rotations for each camera pose, i.e. wRi, as a list. The number of entries in the list is From 1ba2dc2a8b3e2f096783b2a64841e68e07eec55f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 22:24:01 -0700 Subject: [PATCH 042/145] remove print statements from multiview opt --- gtsfm/multi_view_optimizer.py | 1 - 1 file changed, 1 deletion(-) diff --git a/gtsfm/multi_view_optimizer.py b/gtsfm/multi_view_optimizer.py index aebb0b050..6b49ac024 100644 --- a/gtsfm/multi_view_optimizer.py +++ b/gtsfm/multi_view_optimizer.py @@ -115,7 +115,6 @@ def create_computation_graph( pruned_i2Ri1_graph, pruned_i2Ui1_graph = dask.delayed(graph_utils.prune_to_largest_connected_component, nout=2)( viewgraph_i2Ri1_graph, viewgraph_i2Ui1_graph, relative_pose_priors ) - delayed_wRi, rot_avg_metrics = self.rot_avg_module.create_computation_graph( num_images, pruned_i2Ri1_graph, i1Ti2_priors=relative_pose_priors, gt_wTi_list=gt_wTi_list ) From 6faf44a51faa781fb561b1e60e8421ac49553f05 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 22:24:18 -0700 Subject: [PATCH 043/145] Add SO(3) check --- gtsfm/utils/geometry_comparisons.py | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/gtsfm/utils/geometry_comparisons.py b/gtsfm/utils/geometry_comparisons.py index ae26b6bd6..3f800617f 100644 --- a/gtsfm/utils/geometry_comparisons.py +++ b/gtsfm/utils/geometry_comparisons.py @@ -397,3 +397,11 @@ def get_points_within_radius_of_cameras( is_nearby_to_any_cam = np.any(is_nearby_matrix, axis=1) nearby_points_3d = points_3d[is_nearby_to_any_cam] return nearby_points_3d + + +def is_valid_SO3(R: Rot3) -> bool: + """Verifies that provided rotation matrix is a valid member of SO(3).""" + R = R.matrix() + is_unit_det = np.isclose(np.linalg.det(R), 1.0) + is_orthogonal = np.allclose(R @ R.T, np.eye(3)) + return is_unit_det and is_orthogonal From c7864bee2fa22ac6af408e9881759e5c5741f804 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 22:25:04 -0700 Subject: [PATCH 044/145] Fix capitlization in keypt agg --- .../keypoint_aggregator_dedup.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py index 32ba4be94..d31ef54ff 100644 --- a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py +++ b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_dedup.py @@ -29,13 +29,13 @@ def append_unique_keypoints( If duplicate keypoints are found, the index of the previously existing keypoint is recorded. Args: - i: image frame index. - keypoints: keypoints detected in single image, from direct image pair feature matching. - per_image_kpt_coordinates: running list of global keypoints, per image. + i: Image frame index. + keypoints: Keypoints detected in single image, from direct image pair feature matching. + per_image_kpt_coordinates: Running list of global keypoints, per image. Returns: - per_image_kpt_coordinates: running list of global keypoints, per image. - i_indices: single column of putative correspondence indices, for pair. These represent indices + per_image_kpt_coordinates: Running list of global keypoints, per image. + i_indices: Single column of putative correspondence indices, for pair. These represent indices into the global table of keypoints per image. """ N_to_add = keypoints.coordinates.shape[0] @@ -71,11 +71,11 @@ def aggregate( Keypoints are computed per image pair, instead of per image, so they are aggregated per image here. Args: - keypoints_dict: key (i1,i2) maps to (keypoints_i1, keypoints_i2) representing matches (correspondences). + keypoints_dict: Key (i1,i2) maps to (keypoints_i1, keypoints_i2) representing matches (correspondences). Returns: - keypoints_list: list of N Keypoints objects for N images. - putative_corr_idxs_dict: mapping from image pair (i1,i2) to putative correspondence indices. + keypoints_list: List of N Keypoints objects for N images. + putative_corr_idxs_dict: Mapping from image pair (i1,i2) to putative correspondence indices. Correspondence indices are represented by an array of shape (K,2), for K correspondences. """ image_indices = set() From 98c8d0c5cc32f4e9c02e937b62c2d5cd59722358 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 22:25:20 -0700 Subject: [PATCH 045/145] fix capitalization in keypoint agg base --- .../keypoint_aggregator/keypoint_aggregator_base.py | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_base.py b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_base.py index 6998345e4..1ed7a47ab 100644 --- a/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_base.py +++ b/gtsfm/frontend/correspondence_generator/keypoint_aggregator/keypoint_aggregator_base.py @@ -32,10 +32,11 @@ def aggregate( """Aggregates per-pair image keypoints into a set of keypoints per image. Args: - keypoints_dict: (i1,i2) maps to (keypoints_i1, keypoints_i2) representing matches (correspondences). + keypoints_dict: Dictionary where key (i1,i2) maps to (keypoints_i1, keypoints_i2) representing matches + (correspondences). Returns: - keypoints_list: list of N Keypoints objects for N images. - putative_corr_idxs_dict: mapping from image pair (i1,i2) to putative correspondence indices. + keypoints_list: List of N Keypoints objects for N images. + putative_corr_idxs_dict: Mapping from image pair (i1,i2) to putative correspondence indices. Correspondence indices are represented by an array of shape (K,2), for K correspondences. """ From 39b3cf84d4f13183d55e3880509e2030702542be Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 22:28:10 -0700 Subject: [PATCH 046/145] fix 2-view estimator capitalization --- gtsfm/two_view_estimator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/gtsfm/two_view_estimator.py b/gtsfm/two_view_estimator.py index 8ecd24814..a4de03f46 100644 --- a/gtsfm/two_view_estimator.py +++ b/gtsfm/two_view_estimator.py @@ -429,7 +429,7 @@ def aggregate_frontend_metrics( """ num_image_pairs = len(two_view_reports_dict.keys()) - # all rotational errors in degrees + # All rotational errors in degrees. rot3_angular_errors_list: List[float] = [] trans_angular_errors_list: List[float] = [] @@ -437,7 +437,7 @@ def aggregate_frontend_metrics( inlier_ratio_est_model_all_pairs = [] num_inliers_gt_model_all_pairs = [] num_inliers_est_model_all_pairs = [] - # populate the distributions + # Populate the distributions. for report in two_view_reports_dict.values(): if report.R_error_deg is not None: rot3_angular_errors_list.append(report.R_error_deg) From 555463806b145335722b0dba33ec0cf63afae6bc Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 23:03:37 -0700 Subject: [PATCH 047/145] Fix Sim(3) alignment loading in loader --- gtsfm/loader/tanks_and_temples_loader.py | 109 +++++++++++++++++++---- 1 file changed, 92 insertions(+), 17 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 00b0a08ee..73f527026 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -29,6 +29,7 @@ KeypointAggregatorUnique, ) from gtsfm.loader.loader_base import LoaderBase +import gtsfm.utils.geometry_comparisons as geom_comp_utils import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils logger = logger_utils.get_logger() @@ -72,34 +73,34 @@ def __init__( """Initializes image file paths and GT camera poses. There are two coordinate frames -- the COLMAP coordinate frame, and the GT LiDAR coordinate frame. - We move everything to the GT LiDAR coordinate frame. + We move everything to the COLMAP coordinate frame. Args: img_dir: Path to where images of a single scene are stored. poses_fpath: Path to .log file containing COLMAP-reconstructed camera poses. - lidar_ply_fpath: + lidar_ply_fpath: Path to LiDAR scan, in PLY format. ply_alignment_fpath: The alignment text file contains the transformation matrix to align the COLMAP reconstruction to the corresponding ground-truth point cloud. bounding_polyhedron_json_fpath: Path to JSON file containing specification of bounding polyhedron to crop the COLMAP reconstructed point cloud. - colmap_ply_fpath: + colmap_ply_fpath: Path to COLMAP reconstructed point cloud, in PLY format. """ super().__init__(max_resolution) - self.ply_fpath = lidar_ply_fpath + self.lidar_ply_fpath = lidar_ply_fpath + self.colmap_ply_fpath = colmap_ply_fpath self.bounding_polyhedron_json_fpath = bounding_polyhedron_json_fpath self._image_paths = sorted(list(Path(img_dir).glob("*.jpg"))) - # Load the transform between LiDAR global coordinate frame and COLMAP global coordinate frame. - T = np.loadtxt(fname=ply_alignment_fpath) - self.lidar_T_colmap = Pose3(r=Rot3(T[:3,:3]), t=T[:3,3]) - + # Load the Sim(3), not SE(3), transform between LiDAR global coordinate frame and COLMAP global coordinate + # frame. + self.lidar_Sim3_colmap = np.loadtxt(fname=ply_alignment_fpath) + self._use_gt_extrinsics = True # The reconstructions are made with an "out of the box" COLMAP configuration and are available as *.ply # files together with the camera poses (stored in *.log file format). colmapTi_gt_dict = _parse_redwood_data_log_file(poses_fpath) - self.wTi_gt_dict = {k: self.lidar_T_colmap.compose(colmapTi) for k, colmapTi in colmapTi_gt_dict.items() } - - self._num_imgs = len(self.wTi_gt_dict) + self.wTi_gt_dict = {k: (colmapTi) for k, colmapTi in colmapTi_gt_dict.items() } + self._num_imgs = 3 # len(self.wTi_gt_dict) def __len__(self) -> int: """The number of images in the dataset. @@ -172,7 +173,7 @@ def get_camera_intrinsics_full_res(self, index: int) -> Optional[Cal3Bundler]: return intrinsics def get_camera_pose(self, index: int) -> Optional[Pose3]: - """Gets the camera pose (in world coordinates) at the given index. + """Gets the GT camera pose (in world coordinates) at the given index. Args: index: The index to fetch. @@ -188,11 +189,45 @@ def get_camera_pose(self, index: int) -> Optional[Pose3]: # wTi = self._wTi_list[index] wTi = self.wTi_gt_dict[index] + if not geom_comp_utils.is_valid_SO3(wTi.rotation()): + raise ValueError('Given GT rotation is not a member of SO(3) and GT metrics will be incorrect.') return wTi - def get_lidar_point_cloud(self) -> open3d.geometry.PointCloud: - """Returns ground-truth point cloud, captured using an industrial laser scanner.""" - return open3d.io.read_point_cloud(self.ply_fpath) + def get_lidar_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.PointCloud: + """Returns ground-truth point cloud, captured using an industrial laser scanner. + + Move all LiDAR points to the COLMAP frame. + """ + pcd = open3d.io.read_point_cloud(self.lidar_ply_fpath) + points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) + points = points[::downsample_factor] + + lidar_Sim3_colmap = _create_Sim3_from_tt_dataset_alignment_transform(self.lidar_Sim3_colmap) + colmap_Sim3_lidar = np.linalg.inv(T) + # Transform LiDAR points to COLMAP coordinate frame. + points = transform_point_cloud_vectorized(points, colmap_Sim3_lidar) + + rgb = rgb[::downsample_factor] + pcd = open3d_vis_utils.create_colored_point_cloud_open3d(point_cloud=points, rgb=rgb) + return pcd + + + def get_colmap_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.PointCloud: + """Returns COLMAP-reconstructed point cloud.""" + pcd = open3d.io.read_point_cloud(self.colmap_ply_fpath) + points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) + # N, _ = points.shape + # points = np.concatenate([points, np.ones((N,1))], axis=1) + # points = self.lidar_Sim3_colmap @ points.T + # points = points.T + # points = points[:,:3] + # rgb = np.zeros((N,3), dtype=np.uint8) + # rgb[:,0] = 255 + points = points[::downsample_factor] + rgb = rgb[::downsample_factor] + pcd = open3d_vis_utils.create_colored_point_cloud_open3d(point_cloud=points, rgb=rgb) + return pcd + def reconstruct_mesh( self, @@ -214,7 +249,7 @@ def reconstruct_mesh( #pcd = pcd.transform(self.lidar_T_colmap) if crop_by_polyhedron: pass - pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) + #pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pcd) if not crop_by_polyhedron: @@ -303,7 +338,7 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, open3d_mesh_fpath: str, - num_sampled_3d_points: int = 700 + num_sampled_3d_points: int = 200 ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. @@ -526,3 +561,43 @@ def load_from_trimesh(mesh_path: str) -> trimesh.Trimesh: ) return mesh +def _create_Sim3_from_tt_dataset_alignment_transform(lidar_Sim3_colmap: np.ndarray) -> np.ndarray: + """Create member of Sim(3) matrix group given Tanks & Temples dataset alignment transform. + + Args: + lidar_Sim3_colmap: Sim(3) transformation in non-standard form. + + Returns: + Sim(3) transformation matrix in group form. See Section 6.1 of https://www.ethaneade.com/lie.pdf + """ + T = lidar_Sim3_colmap + # Disentangle scale factor from 3d rotation. + R = Rot3.ClosestTo(lidar_Sim3_colmap[:3,:3]).matrix() + s = self.lidar_Sim3_colmap[0,0] / R[0,0] + t = self.lidar_Sim3_colmap[:3,3] / s + + # Create 4x4 matrix in group notation. + T = np.zeros((4,4)) + T[:3,:3] = R + T[:3,3] = t + T[3,3] = 1 / s + return T + + +def transform_point_cloud_vectorized(points_b: np.ndarray, aTb: np.ndarray) -> np.ndarray + """Given points in `b` frame, transform them to `a `frame. + + Args: + points_b: (N,3) points in `b` frame. + aTb: 4x4 transformation matrix, a member of either SE(3) or Sim(3). + + Returns: + (N,3) points in `a` frame. + """ + N, _ = points_b.shape + points_b = np.concatenate([points_b, np.ones((N,1))], axis=1) + points_a = aTb @ points_b.T + points_a = points_a.T + # Remove homogeonous coordinate. + points_a = points_a[:,:3] / points_a[:,3][:,np.newaxis] + return points_a From 6a331d41a4aadb2063c3454d7c3aa5db6bff3f5b Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 23:03:53 -0700 Subject: [PATCH 048/145] improve unit test --- tests/loader/test_tanks_and_temples_loader.py | 130 +++++++++++++++++- 1 file changed, 124 insertions(+), 6 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index fb9cc62c9..284e4ec8b 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -3,12 +3,18 @@ Author: John Lambert """ -import open3d import unittest from pathlib import Path +import numpy as np +import open3d +from gtsam import Rot3, Unit3 + import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader +from gtsfm.frontend.verifier.loransac import LoRansac +import gtsfm.utils.geometry_comparisons as geom_comp_utils + _TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "data" / "tanks_and_temples_barn" @@ -56,6 +62,20 @@ def test_get_image_fpath(self) -> None: assert fpath == expected_fpath +R = Rot3(np.eye(3)) +result = geom_comp_utils.is_valid_SO3(R) +assert result + +R = Rot3(np.array([ + [3.85615, 0.0483263, 1.5018], + [-1.50233, 0.199159, 3.8511], + [-0.0273012, -4.13347, 0.203112] + ])) +result = geom_comp_utils.is_valid_SO3(R) +assert not result + +print("success") +exit() dataset_root = '/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410' scene_name = 'Barn' # 'Truck' @@ -77,6 +97,89 @@ def test_get_image_fpath(self) -> None: intrinsics = loader.get_camera_intrinsics_full_res(index=0) +# View frustums +# for index in loader.wTi_gt_dict.keys(): +# wTc = loader.get_camera_pose(index) + +wTi_list = [loader.get_camera_pose(index) for index in range(len(loader))] +calibrations = [loader.get_camera_intrinsics_full_res(index) for index in range(len(loader))] + +frustums = open3d_vis_utils.create_all_frustums_open3d( + wTi_list=wTi_list, calibrations=calibrations, frustum_ray_len= 0.3 +) +geometries = frustums +lidar_pcd = loader.get_lidar_point_cloud() +colmap_pcd = loader.get_colmap_point_cloud() + +open3d.visualization.draw_geometries(geometries + [lidar_pcd] + [colmap_pcd]) +exit() + +# Compute 2-view error using a front-end. +verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) + + + + +import time +start = time.time() +keypoints_list, match_indices_dict = loader.generate_synthetic_correspondences( + images = [], + image_pairs = [(i1,i2)] +) +end = time.time() +duration = end - start +print(f"Took {duration} sec.") +keypoints_i1, keypoints_i2 = keypoints_list + + +i1 = 0 +i2 = 1 + + +wTi1 = loader.get_camera_pose(index=i1) +wTi2 = loader.get_camera_pose(index=i2) + +i2Ti1 = wTi2.between(wTi1) +i2Ri1_expected = i2Ti1.rotation() +i2Ui1_expected = Unit3(i2Ti1.translation()) + +camera_intrinsics_i1 = loader.get_camera_intrinsics_full_res(index=i1) +camera_intrinsics_i2 = loader.get_camera_intrinsics_full_res(index=i2) + +i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( + keypoints_i1, + keypoints_i2, + match_indices_dict[(i1,i2)], + camera_intrinsics_i1, + camera_intrinsics_i2, +) + +rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) +direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) + +print(f"Errors: rotation {rot_angular_err:.2f}, direction {direction_angular_err:.2f}") + + +# if i2Ri1_expected is None: +# self.assertIsNone(i2Ri1_computed) +# else: +# angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) +# self.assertLess( +# angular_err, +# ROTATION_ANGULAR_ERROR_DEG_THRESHOLD, +# msg=f"Angular error {angular_err:.1f} vs. tol. {ROTATION_ANGULAR_ERROR_DEG_THRESHOLD:.1f}", +# ) +# if i2Ui1_expected is None: +# self.assertIsNone(i2Ui1_computed) +# else: +# self.assertLess( +# geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed), +# DIRECTION_ANGULAR_ERROR_DEG_THRESHOLD, +# ) +# np.testing.assert_array_equal(verified_indices_computed, verified_indices_expected) + + + import gtsfm.utils.io as io_utils # Generate random image pairs. @@ -107,13 +210,10 @@ def test_get_image_fpath(self) -> None: # plt.scatter(keypoints_i1[:,0], keypoints_i1[:,1], 10, color='r', marker='.', alpha=0.007) # plt.show() -result = loader.generate_synthetic_correspondences( - images = [], - image_pairs = [(0,1)] -) -exit() exit() + + # pcd = io_utils.read_point_cloud_from_ply(ply_fpath) @@ -155,3 +255,21 @@ def test_get_image_fpath(self) -> None: ) """ + +""" +conda install -c conda-forge embree=2.17.7 + +pip install pyembree +print(trimesh.ray.ray_pyembree.error) + +In [1]: import pyembree + +In [2]: import trimesh + +In [3]: m = trimesh.creation.icosphere + +In [5]: m = trimesh.creation.icosphere() + +# check for `ray_pyembree` instead of `ray_triangle` +In [6]: m.ray +""" From 25c0f686f86f92c78a019fb44da01f2ef9b66561 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 23:19:20 -0700 Subject: [PATCH 049/145] flake8 fixes --- .../synthetic_correspondence_generator.py | 31 ++++++++++--------- 1 file changed, 16 insertions(+), 15 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index ac43ce87f..ee015ee34 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -3,15 +3,14 @@ Authors: John Lambert """ import tempfile -from typing import Any, Dict, List, Tuple +from typing import Dict, List, Tuple from dask.distributed import Client, Future import numpy as np import open3d -from gtsfm.common.image import Image from gtsfm.common.keypoints import Keypoints -from gtsfm.common.types import CALIBRATION_TYPE, CAMERA_TYPE +from gtsfm.common.types import CAMERA_TYPE from gtsfm.frontend.correspondence_generator.correspondence_generator_base import CorrespondenceGeneratorBase from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_base import KeypointAggregatorBase from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_dedup import ( @@ -60,12 +59,12 @@ def generate_correspondences( dataset_root = self._dataset_root scene_name = self._scene_name - img_dir = f'{dataset_root}/{scene_name}' - poses_fpath = f'{dataset_root}/{scene_name}_COLMAP_SfM.log' - lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' - colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' - ply_alignment_fpath = f'{dataset_root}/{scene_name}_trans.txt' - bounding_polyhedron_json_fpath = f'{dataset_root}/{scene_name}.json' + img_dir = f"{dataset_root}/{scene_name}" + poses_fpath = f"{dataset_root}/{scene_name}_COLMAP_SfM.log" + lidar_ply_fpath = f"{dataset_root}/{scene_name}.ply" + colmap_ply_fpath = f"{dataset_root}/{scene_name}_COLMAP.ply" + ply_alignment_fpath = f"{dataset_root}/{scene_name}_trans.txt" + bounding_polyhedron_json_fpath = f"{dataset_root}/{scene_name}.json" loader = TanksAndTemplesLoader( img_dir=img_dir, poses_fpath=poses_fpath, @@ -75,26 +74,28 @@ def generate_correspondences( colmap_ply_fpath=colmap_ply_fpath, ) - mesh = loader.reconstruct_mesh() # TODO(jolambert): File Open3d bug to add pickle support for TriangleMesh. - open3d_mesh_path = tempfile.NamedTemporaryFile(suffix='.obj').name + open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) loader_future = client.scatter(loader, broadcast=False) + def apply_synthetic_corr_generator( - loader_: LoaderBase, camera_i1, camera_i2, open3d_mesh_fpath: str, i1: int, i2: int + loader_: LoaderBase, + camera_i1: CAMERA_TYPE, + camera_i2: CAMERA_TYPE, + open3d_mesh_fpath: str, ) -> Tuple[Keypoints, Keypoints]: return loader_.generate_synthetic_correspondences_for_image_pair(camera_i1, camera_i2, open3d_mesh_fpath) pairwise_correspondence_futures = { - (i1, i2): client.submit(apply_synthetic_corr_generator, + (i1, i2): client.submit( + apply_synthetic_corr_generator, loader_future, loader.get_camera(index=i1), loader.get_camera(index=i2), open3d_mesh_path, - i1, - i2 ) for i1, i2 in image_pairs } From 2f3e9e2969f7c72156857e80424c5b64340aacb8 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 23:20:18 -0700 Subject: [PATCH 050/145] flake8 fixes --- gtsfm/loader/tanks_and_temples_loader.py | 138 ++++++++++------------- 1 file changed, 60 insertions(+), 78 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 73f527026..c23667e31 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -14,7 +14,7 @@ import open3d import trimesh from gtsam import Cal3Bundler, Rot3, Pose3 -from dask.distributed import Client, Future +from dask.distributed import Future import gtsfm.common.types as gtsfm_types import gtsfm.utils.io as io_utils @@ -69,6 +69,7 @@ def __init__( bounding_polyhedron_json_fpath: str, colmap_ply_fpath: str, max_resolution: int = 1080, + max_num_images: Optional[int] = None, ) -> None: """Initializes image file paths and GT camera poses. @@ -84,6 +85,7 @@ def __init__( bounding_polyhedron_json_fpath: Path to JSON file containing specification of bounding polyhedron to crop the COLMAP reconstructed point cloud. colmap_ply_fpath: Path to COLMAP reconstructed point cloud, in PLY format. + max_num_images: Maximum number of images to use for reconstruction. """ super().__init__(max_resolution) self.lidar_ply_fpath = lidar_ply_fpath @@ -94,13 +96,18 @@ def __init__( # Load the Sim(3), not SE(3), transform between LiDAR global coordinate frame and COLMAP global coordinate # frame. self.lidar_Sim3_colmap = np.loadtxt(fname=ply_alignment_fpath) - + self._use_gt_extrinsics = True # The reconstructions are made with an "out of the box" COLMAP configuration and are available as *.ply # files together with the camera poses (stored in *.log file format). colmapTi_gt_dict = _parse_redwood_data_log_file(poses_fpath) - self.wTi_gt_dict = {k: (colmapTi) for k, colmapTi in colmapTi_gt_dict.items() } - self._num_imgs = 3 # len(self.wTi_gt_dict) + self.wTi_gt_dict = {k: (colmapTi) for k, colmapTi in colmapTi_gt_dict.items()} + + if max_num_images is not None: + # Optionally artificially truncate the size of the dataset. + self._num_imgs = max_num_images + else: + self._num_imgs = len(self.wTi_gt_dict) def __len__(self) -> int: """The number of images in the dataset. @@ -133,19 +140,15 @@ def get_image_full_res(self, index: int) -> Image: # All should have shape (1080, 1920, 3) if img.height != _DEFAULT_IMAGE_HEIGHT_PX: - raise ValueError( - f'Images from the Tanks&Temples dataset should have height {_DEFAULT_IMAGE_HEIGHT_PX} px.' - ) + raise ValueError(f"Images from the Tanks&Temples dataset should have height {_DEFAULT_IMAGE_HEIGHT_PX} px.") if img.width != _DEFAULT_IMAGE_WIDTH_PX: - raise ValueError( - f'Images from the Tanks&Temples dataset should have width {_DEFAULT_IMAGE_WIDTH_PX} px.' - ) + raise ValueError(f"Images from the Tanks&Temples dataset should have width {_DEFAULT_IMAGE_WIDTH_PX} px.") return img def get_camera_intrinsics_full_res(self, index: int) -> Optional[Cal3Bundler]: """Gets the camera intrinsics at the given index, valid for a full-resolution image. - Sony A7SM2, 35.6 x 23.8 mm + Note: Tanks & Temples does not release the intrinsics from the COLMAP reconstruction. Args: The index to fetch. @@ -165,9 +168,8 @@ def get_camera_intrinsics_full_res(self, index: int) -> Optional[Cal3Bundler]: # Focal length: fx = 0.7 * W - # if not self._use_gt_intrinsics: - # TODO(johnwlambert): Add Sony A7SM2 to sensor DB, and get intrinsics from exif. - #intrinsics = io_utils.load_image(self._image_paths[index]).get_intrinsics_from_exif() + # TODO(johnwlambert): Add Sony A7SM2 to sensor DB (35.6 x 23.8 mm), and get intrinsics from exif. + # intrinsics = io_utils.load_image(self._image_paths[index]).get_intrinsics_from_exif() intrinsics = Cal3Bundler(fx, k1=0.0, k2=0.0, u0=cx, v0=cy) return intrinsics @@ -190,7 +192,7 @@ def get_camera_pose(self, index: int) -> Optional[Pose3]: # wTi = self._wTi_list[index] wTi = self.wTi_gt_dict[index] if not geom_comp_utils.is_valid_SO3(wTi.rotation()): - raise ValueError('Given GT rotation is not a member of SO(3) and GT metrics will be incorrect.') + raise ValueError("Given GT rotation is not a member of SO(3) and GT metrics will be incorrect.") return wTi def get_lidar_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.PointCloud: @@ -203,32 +205,23 @@ def get_lidar_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.P points = points[::downsample_factor] lidar_Sim3_colmap = _create_Sim3_from_tt_dataset_alignment_transform(self.lidar_Sim3_colmap) - colmap_Sim3_lidar = np.linalg.inv(T) + colmap_Sim3_lidar = np.linalg.inv(lidar_Sim3_colmap) # Transform LiDAR points to COLMAP coordinate frame. points = transform_point_cloud_vectorized(points, colmap_Sim3_lidar) - rgb = rgb[::downsample_factor] + rgb = rgb[::downsample_factor] pcd = open3d_vis_utils.create_colored_point_cloud_open3d(point_cloud=points, rgb=rgb) return pcd - def get_colmap_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.PointCloud: """Returns COLMAP-reconstructed point cloud.""" pcd = open3d.io.read_point_cloud(self.colmap_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) - # N, _ = points.shape - # points = np.concatenate([points, np.ones((N,1))], axis=1) - # points = self.lidar_Sim3_colmap @ points.T - # points = points.T - # points = points[:,:3] - # rgb = np.zeros((N,3), dtype=np.uint8) - # rgb[:,0] = 255 points = points[::downsample_factor] - rgb = rgb[::downsample_factor] + rgb = rgb[::downsample_factor] pcd = open3d_vis_utils.create_colored_point_cloud_open3d(point_cloud=points, rgb=rgb) return pcd - def reconstruct_mesh( self, point_downsample_factor: int = 10, @@ -246,10 +239,10 @@ def reconstruct_mesh( Reconstructed mesh. """ pcd = self.get_lidar_point_cloud() - #pcd = pcd.transform(self.lidar_T_colmap) + # pcd = pcd.transform(self.lidar_T_colmap) if crop_by_polyhedron: pass - #pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) + # pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pcd) if not crop_by_polyhedron: @@ -279,10 +272,7 @@ def reconstruct_mesh( return mesh def generate_synthetic_correspondences( - self, - images: List[Future], - image_pairs: List[Tuple[int, int]], - deduplicate: bool = False + self, images: List[Future], image_pairs: List[Tuple[int, int]], deduplicate: bool = False ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. @@ -298,14 +288,12 @@ def generate_synthetic_correspondences( are represented by an array of shape (K,2), for K correspondences. """ mesh = self.reconstruct_mesh() - open3d_mesh_path = tempfile.NamedTemporaryFile(suffix='.obj').name + open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) camera_dict = {} - aggregator: KeypointAggregatorBase = ( - KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() - ) + aggregator: KeypointAggregatorBase = KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() keypoints_dict = {} putative_corr_idxs_dict = {} @@ -315,14 +303,12 @@ def generate_synthetic_correspondences( if i2 not in camera_dict: camera_dict[i2] = self.get_camera(index=i2) keypoints_i1, keypoints_i2 = self.generate_synthetic_correspondences_for_image_pair( - camera_i1=camera_dict[i1], - camera_i2=camera_dict[i2], - open3d_mesh_fpath=open3d_mesh_path + camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], open3d_mesh_fpath=open3d_mesh_path ) num_kpts = len(keypoints_i1) putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) - keypoints_dict[(i1,i2)] = (keypoints_i1, keypoints_i2) - putative_corr_idxs_dict[(i1,i2)] = putative_corr_idxs + keypoints_dict[(i1, i2)] = (keypoints_i1, keypoints_i2) + putative_corr_idxs_dict[(i1, i2)] = putative_corr_idxs print(f"Number of keypoints in image {i1}: ", len(keypoints_i1)) # import matplotlib.pyplot as plt # img = self.get_image_full_res(index=0) @@ -338,7 +324,7 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, open3d_mesh_fpath: str, - num_sampled_3d_points: int = 200 + num_sampled_3d_points: int = 200, ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. @@ -356,7 +342,7 @@ def generate_synthetic_correspondences_for_image_pair( # Sample random 3d points. pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) - #pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) + # pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) points = np.asarray(pcd.points) wTi_list = [camera_i1.pose(), camera_i2.pose()] @@ -378,7 +364,7 @@ def generate_synthetic_correspondences_for_image_pair( visualize = False if visualize: visualize_ray_to_sampled_mesh_point(camera_i1, point, wTi_list, calibrations, mesh) - + keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) print(f"Generated {len(keypoints_i1)} keypoints from sampled {num_sampled_3d_points} 3d points.") @@ -389,7 +375,7 @@ def visualize_ray_to_sampled_mesh_point( camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, wTi_list: List[Pose3], - calibrations, + calibrations: List[gtsfm_types.CALIBRATION_TYPE], mesh: open3d.geometry.TriangleMesh, ) -> None: """Visualizes ray from camera center to 3d point, along with camera frustum, mesh, and 3d point as ball. @@ -398,7 +384,7 @@ def visualize_ray_to_sampled_mesh_point( camera: Camera to use. point: 3d point as (3,) array. wTi_list: All camera poses. - calibrations + calibrations: Calibration for each camera. mesh: """ frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) @@ -410,18 +396,18 @@ def visualize_ray_to_sampled_mesh_point( # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) # Plot 3d point as red sphere. - point_cloud = np.reshape(point, (1,3)) - rgb = np.array([255,0,0]).reshape(1,3).astype(np.uint8) - spheres = open3d_vis_utils.create_colored_spheres_open3d( - point_cloud, rgb, sphere_radius=0.5 - ) + point_cloud = np.reshape(point, (1, 3)) + rgb = np.array([255, 0, 0]).reshape(1, 3).astype(np.uint8) + spheres = open3d_vis_utils.create_colored_spheres_open3d(point_cloud, rgb, sphere_radius=0.5) # Plot all camera frustums and mesh, with sphere and ray line segment. open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) def verify_camera_fov_and_occlusion( - camera: gtsfm_types.CAMERA_TYPE, point: np.ndarray, trimesh_mesh: trimesh.Trimesh, + camera: gtsfm_types.CAMERA_TYPE, + point: np.ndarray, + trimesh_mesh: trimesh.Trimesh, ) -> Optional[np.ndarray]: """Verifies point lies within camera FOV and is unoccluded by mesh faces. @@ -433,38 +419,33 @@ def verify_camera_fov_and_occlusion( Returns: 2d keypoint as (2,) array. """ - # Get the camera associated with the measurement. # Project to camera. uv_reprojected, success_flag = camera.projectSafe(point) # Check for projection error in camera. if not success_flag: - print("Skip failed: ", uv_reprojected, ", success: ", success_flag) return None - if (uv_reprojected[0] < 0) or \ - (uv_reprojected[0] > _DEFAULT_IMAGE_WIDTH_PX) or \ - (uv_reprojected[1] < 0) or \ - (uv_reprojected[1] > _DEFAULT_IMAGE_HEIGHT_PX): + if ( + (uv_reprojected[0] < 0) + or (uv_reprojected[0] > _DEFAULT_IMAGE_WIDTH_PX) + or (uv_reprojected[1] < 0) + or (uv_reprojected[1] > _DEFAULT_IMAGE_HEIGHT_PX) + ): # Outside of synthetic camera's FOV. return None - # import pdb; pdb.set_trace() # Cast ray through keypoint back towards scene. - # cam_center = np.repeat(camera.pose().translation().reshape((-1, 3)), num_kpts, axis=0) cam_center = camera.pose().translation() # Choose an arbitrary depth for the ray direction. - #ray_dirs = np.asarray([camera.backproject(uv_reprojected, depth=1.0) - cam_center[i, :] for i in range(num_kpts)]) ray_dirs = point - camera.pose().translation() # Returns the location of where a ray hits a surface mesh. # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. # intersections_locations: (M, 3), array of ray intersection locations. intersections, keypoint_ind, _ = trimesh_mesh.ray.intersects_location( - ray_origins=cam_center.reshape(1,3), - ray_directions=ray_dirs.reshape(1,3), - multiple_hits=False + ray_origins=cam_center.reshape(1, 3), ray_directions=ray_dirs.reshape(1, 3), multiple_hits=False ) - + if intersections.shape[0] > 1 or intersections.shape[0] == 0: print(f"Unknown failure: intersections= {intersections} with shape {intersections.shape}") return None @@ -538,7 +519,7 @@ def _make_line_plot(point1: np.ndarray, point2: np.ndarray) -> open3d.geometry.L verts_worldfr = np.array([point1, point2]) lines = [[0, 1]] # color is in range [0,1] - color = (0,0,1) + color = (0, 0, 1) colors = [color for i in range(len(lines))] line_set = open3d.geometry.LineSet( @@ -561,30 +542,31 @@ def load_from_trimesh(mesh_path: str) -> trimesh.Trimesh: ) return mesh + def _create_Sim3_from_tt_dataset_alignment_transform(lidar_Sim3_colmap: np.ndarray) -> np.ndarray: """Create member of Sim(3) matrix group given Tanks & Temples dataset alignment transform. Args: - lidar_Sim3_colmap: Sim(3) transformation in non-standard form. + lidar_Sim3_colmap: Sim(3) transformation in non-standard form (invalid, non-group form). Returns: Sim(3) transformation matrix in group form. See Section 6.1 of https://www.ethaneade.com/lie.pdf """ T = lidar_Sim3_colmap # Disentangle scale factor from 3d rotation. - R = Rot3.ClosestTo(lidar_Sim3_colmap[:3,:3]).matrix() - s = self.lidar_Sim3_colmap[0,0] / R[0,0] - t = self.lidar_Sim3_colmap[:3,3] / s + R = Rot3.ClosestTo(lidar_Sim3_colmap[:3, :3]).matrix() + s = lidar_Sim3_colmap[0, 0] / R[0, 0] + t = lidar_Sim3_colmap[:3, 3] / s # Create 4x4 matrix in group notation. - T = np.zeros((4,4)) - T[:3,:3] = R - T[:3,3] = t - T[3,3] = 1 / s + T = np.zeros((4, 4)) + T[:3, :3] = R + T[:3, 3] = t + T[3, 3] = 1 / s return T -def transform_point_cloud_vectorized(points_b: np.ndarray, aTb: np.ndarray) -> np.ndarray +def transform_point_cloud_vectorized(points_b: np.ndarray, aTb: np.ndarray) -> np.ndarray: """Given points in `b` frame, transform them to `a `frame. Args: @@ -595,9 +577,9 @@ def transform_point_cloud_vectorized(points_b: np.ndarray, aTb: np.ndarray) -> n (N,3) points in `a` frame. """ N, _ = points_b.shape - points_b = np.concatenate([points_b, np.ones((N,1))], axis=1) + points_b = np.concatenate([points_b, np.ones((N, 1))], axis=1) points_a = aTb @ points_b.T points_a = points_a.T # Remove homogeonous coordinate. - points_a = points_a[:,:3] / points_a[:,3][:,np.newaxis] + points_a = points_a[:, :3] / points_a[:, 3][:, np.newaxis] return points_a From 574ac81adfab5cbff3469c758a9a57db0259c3a3 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 15 Jul 2023 23:34:06 -0700 Subject: [PATCH 051/145] Add option for unit testing to use only K of N images, e.g. 3 of 410 images in runner --- .../run_scene_optimizer_synthetic_tanks_and_temples.py | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py index 7496a04ad..52664d68f 100644 --- a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py +++ b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py @@ -26,6 +26,12 @@ def construct_argparser(self) -> argparse.ArgumentParser: "--dataset_root", type=str, required=True, help="Path to zip file containing packaged data." ) parser.add_argument("--scene_name", type=str, required=True, help="Name of dataset scene.") + parser.add_argument( + "--max_num_images", + type=int, + default=None, + help="Optionally specifies the maximum number of images from the dataset to use for reconstruction.", + ) return parser @@ -47,6 +53,7 @@ def construct_loader(self) -> LoaderBase: bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, colmap_ply_fpath=colmap_ply_fpath, max_resolution=_TANKS_AND_TEMPLES_RESOLUTION_PX, + max_num_images=self.parsed_args.max_num_images, ) return loader From 38fbe1d12d55a392920014226c8b2a26e7324b00 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:10:52 -0700 Subject: [PATCH 052/145] fix docstrings --- .github/scripts/download_single_benchmark.sh | 2 -- .../synthetic_correspondence_generator.py | 6 +++--- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index 20bbae4fe..da81f6bfb 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -131,8 +131,6 @@ function download_and_unzip_dataset_files { tar -xvf cache_rc3_deep.tar.gz elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then unzip -qq Tanks_and_Temples_Barn_410.zip - pwd - pwd . fi } diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index ee015ee34..f4998baf0 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -29,7 +29,7 @@ class SyntheticCorrespondenceGenerator(CorrespondenceGeneratorBase): def __init__(self, dataset_root: str, scene_name: str, deduplicate: bool = True) -> None: """ Args: - dataset_root: str + dataset_root: Path to where Tanks & Temples dataset is stored. scene_name: Name of scene from Tanks & Temples dataset. deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. """ @@ -53,8 +53,8 @@ def generate_correspondences( image_pairs: Indices of the pairs of images to estimate two-view pose and correspondences. Returns: - List of keypoints, one entry for each input images. - Putative correspondence as indices of keypoints, for pairs of images. + List of keypoints, with one entry for each input image. + Putative correspondences as indices of keypoints (N,2), for pairs of images (i1,i2). """ dataset_root = self._dataset_root scene_name = self._scene_name From f81667eb8bb0143480f1ea737f75f82af9a9f609 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:11:11 -0700 Subject: [PATCH 053/145] fix tanks and temples unit test --- tests/loader/test_tanks_and_temples_loader.py | 259 +++++++----------- tests/utils/test_geometry_comparisons.py | 19 ++ 2 files changed, 122 insertions(+), 156 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 284e4ec8b..a39cc0b89 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -6,14 +6,17 @@ import unittest from pathlib import Path +import matplotlib.pyplot as plt import numpy as np import open3d -from gtsam import Rot3, Unit3 +from gtsam import Cal3Bundler, Rot3, Unit3 +import gtsfm.utils.geometry_comparisons as geom_comp_utils import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils +from gtsfm.common.image import Image from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader from gtsfm.frontend.verifier.loransac import LoRansac -import gtsfm.utils.geometry_comparisons as geom_comp_utils + _TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "data" / "tanks_and_temples_barn" @@ -25,27 +28,34 @@ def setUp(self) -> None: img_dir = _TEST_DATA_ROOT / 'Barn' poses_fpath = _TEST_DATA_ROOT / 'Barn_COLMAP_SfM.log' - lidar_ply_fpath = _TEST_DATA_ROOT / 'Barn.ply' - colmap_ply_fpath = scene_data_dir / 'Barn_COLMAP.ply' ply_alignment_fpath = _TEST_DATA_ROOT / 'Barn_trans.txt' bounding_polyhedron_json_fpath = _TEST_DATA_ROOT / 'Barn.json' + # Note: PLY files are not provided here, as they are too large to include as test data (300 MB each). self.loader = TanksAndTemplesLoader( img_dir=img_dir, poses_fpath=poses_fpath, - lidar_ply_fpath=lidar_ply_fpath, - ply_alignment_fpath=ply_alignment_fpath, bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, - colmap_ply_fpath=colmap_ply_fpath, + ply_alignment_fpath=ply_alignment_fpath, + lidar_ply_fpath=None, + colmap_ply_fpath=None, ) def test_get_camera_intrinsics_full_res(self) -> None: """ """ intrinsics = self.loader.get_camera_intrinsics_full_res(index=0) + assert isinstance(intrinsics, Cal3Bundler) + + # Should be half of image width (1920 / 2). + assert np.isclose(intrinsics.px(), 960.0) + + # Should be half of image height (1080 / 2). + assert np.isclose(intrinsics.py(), 540.0) def test_get_camera_pose(self) -> None: """ """ wTi = self.loader.get_camera_pose(index=0) + # import pdb; pdb.set_trace() """ Unit Test (Pdb) p wTi_gt[0] @@ -56,26 +66,97 @@ def test_get_camera_pose(self) -> None: """ def test_get_image_fpath(self) -> None: - """ """ + """Tests that index 0 maps to image '0000001.jpg', which is the zero'th image in the Barn dataset.""" fpath = self.loader.get_image_fpath(index = 0) - expected_fpath = '/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410/Barn/000001.jpg' - assert fpath == expected_fpath + assert isinstance(fpath, Path) + assert fpath.parts[-4:] == ('data', 'tanks_and_temples_barn', 'Barn', '000001.jpg') + + def test_get_image_full_res(self) -> None: + """Verifies that the zero'th image has expected image dimensions.""" + image = self.loader.get_image_full_res(index=0) + assert isinstance(image, Image) + + assert image.height == 1080 + assert image.width == 1920 + + def test_get_synthetic_correspondences(self) -> None: + # Skip this test in the CI, and only uncomment it to run it locally, since it requires PLY. + return + # Compute 2-view error using a front-end. + verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) + + keypoints_list, match_indices_dict = loader.generate_synthetic_correspondences( + images = [], + image_pairs = [(i1,i2)] + ) + keypoints_i1, keypoints_i2 = keypoints_list + + i1 = 0 + i2 = 1 + + wTi1 = self.loader.get_camera_pose(index=i1) + wTi2 = self.loader.get_camera_pose(index=i2) + + i2Ti1 = wTi2.between(wTi1) + i2Ri1_expected = i2Ti1.rotation() + i2Ui1_expected = Unit3(i2Ti1.translation()) + + camera_intrinsics_i1 = self.loader.get_camera_intrinsics_full_res(index=i1) + camera_intrinsics_i2 = self.loader.get_camera_intrinsics_full_res(index=i2) + + i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( + keypoints_i1, + keypoints_i2, + match_indices_dict[(i1,i2)], + camera_intrinsics_i1, + camera_intrinsics_i2, + ) + + rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) + direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) + + print(f"Errors: rotation {rot_angular_err:.2f}, direction {direction_angular_err:.2f}") + + def test_project_synthetic_correspondences_to_image(self) -> None: + # Skip this test in the CI, and only uncomment it to run it locally, since it requires PLY. + return + # Project LiDAR point cloud into image 1. + pcd = self.loader.get_lidar_point_cloud() + points = np.asarray(pcd.points) + + # Project mesh vertices into image 1. + mesh = loader.reconstruct_mesh() + points = np.asarray(mesh.vertices) + camera_i1 = loader.get_camera(index=0) -R = Rot3(np.eye(3)) -result = geom_comp_utils.is_valid_SO3(R) -assert result + keypoints_i1 = [] + for point in points: + keypoints_i1.append(camera_i1.projectSafe(point)[0]) + + keypoints_i1 = np.array(keypoints_i1) + + img = self.loader.get_image_full_res(index=0) + plt.imshow(img.value_array.astype(np.uint8)) + plt.scatter(keypoints_i1[:,0], keypoints_i1[:,1], 10, color='r', marker='.', alpha=0.007) + plt.show() + open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) + + def visualize_overlapping_point_clouds(self) -> None: + """Visualize overlaid LiDAR and COLMAP point clouds.""" + wTi_list = [self.loader.get_camera_pose(index) for index in range(len(self.loader))] + calibrations = [self.loader.get_camera_intrinsics_full_res(index) for index in range(len(self.loader))] + + frustums = open3d_vis_utils.create_all_frustums_open3d( + wTi_list=wTi_list, calibrations=calibrations, frustum_ray_len= 0.3 + ) + geometries = frustums + lidar_pcd = self.loader.get_lidar_point_cloud() + colmap_pcd = self.loader.get_colmap_point_cloud() + + open3d.visualization.draw_geometries(geometries + [lidar_pcd] + [colmap_pcd]) -R = Rot3(np.array([ - [3.85615, 0.0483263, 1.5018], - [-1.50233, 0.199159, 3.8511], - [-0.0273012, -4.13347, 0.203112] - ])) -result = geom_comp_utils.is_valid_SO3(R) -assert not result -print("success") -exit() dataset_root = '/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410' scene_name = 'Barn' # 'Truck' @@ -95,70 +176,11 @@ def test_get_image_fpath(self) -> None: colmap_ply_fpath=colmap_ply_fpath, ) -intrinsics = loader.get_camera_intrinsics_full_res(index=0) # View frustums # for index in loader.wTi_gt_dict.keys(): # wTc = loader.get_camera_pose(index) -wTi_list = [loader.get_camera_pose(index) for index in range(len(loader))] -calibrations = [loader.get_camera_intrinsics_full_res(index) for index in range(len(loader))] - -frustums = open3d_vis_utils.create_all_frustums_open3d( - wTi_list=wTi_list, calibrations=calibrations, frustum_ray_len= 0.3 -) -geometries = frustums -lidar_pcd = loader.get_lidar_point_cloud() -colmap_pcd = loader.get_colmap_point_cloud() - -open3d.visualization.draw_geometries(geometries + [lidar_pcd] + [colmap_pcd]) -exit() - -# Compute 2-view error using a front-end. -verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) - - - - -import time -start = time.time() -keypoints_list, match_indices_dict = loader.generate_synthetic_correspondences( - images = [], - image_pairs = [(i1,i2)] -) -end = time.time() -duration = end - start -print(f"Took {duration} sec.") -keypoints_i1, keypoints_i2 = keypoints_list - - -i1 = 0 -i2 = 1 - - -wTi1 = loader.get_camera_pose(index=i1) -wTi2 = loader.get_camera_pose(index=i2) - -i2Ti1 = wTi2.between(wTi1) -i2Ri1_expected = i2Ti1.rotation() -i2Ui1_expected = Unit3(i2Ti1.translation()) - -camera_intrinsics_i1 = loader.get_camera_intrinsics_full_res(index=i1) -camera_intrinsics_i2 = loader.get_camera_intrinsics_full_res(index=i2) - -i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( - keypoints_i1, - keypoints_i2, - match_indices_dict[(i1,i2)], - camera_intrinsics_i1, - camera_intrinsics_i2, -) - -rot_angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) -direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) - -print(f"Errors: rotation {rot_angular_err:.2f}, direction {direction_angular_err:.2f}") - # if i2Ri1_expected is None: # self.assertIsNone(i2Ri1_computed) @@ -180,81 +202,6 @@ def test_get_image_fpath(self) -> None: -import gtsfm.utils.io as io_utils - -# Generate random image pairs. -# image_pairs = - -# Could enforce that they are roughly on the same side of an object. - -# import numpy as np -# # Project LiDAR point cloud into image 1. -# pcd = loader.get_lidar_point_cloud() -# points = np.asarray(pcd.points) - -# # Project mesh vertices into image 1. -# mesh = loader.reconstruct_mesh() -# points = np.asarray(mesh.vertices) - -# camera_i1 = loader.get_camera(index=0) - -# keypoints_i1 = [] -# for point in points: -# keypoints_i1.append(camera_i1.projectSafe(point)[0]) - -# keypoints_i1 = np.array(keypoints_i1) - -# import matplotlib.pyplot as plt -# img = loader.get_image_full_res(index=0) -# plt.imshow(img.value_array.astype(np.uint8)) -# plt.scatter(keypoints_i1[:,0], keypoints_i1[:,1], 10, color='r', marker='.', alpha=0.007) -# plt.show() - - -exit() - - -# pcd = io_utils.read_point_cloud_from_ply(ply_fpath) - - -#open3d.visualization.draw_geometries([pcd]) - -# -#open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) - -loader.get_image_full_res(index=0) - - -geometries = [pcd] # [mesh] -for index in loader.wTi_gt_dict.keys(): - wTc = loader.get_camera_pose(index) - #import pdb; pdb.set_trace() - line_sets = open3d_vis_utils.draw_coordinate_frame(wTc=wTc, axis_length=1.0) - geometries.extend(line_sets) - - if index == 0: - break - - # if index % 10 == 0: -open3d.visualization.draw_geometries(geometries) - - - -i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, two_view_reports_dict = {}, {}, {}, {} - -""" -two_view_results_dict = run_two_view_estimator_as_futures( - client, - scene_optimizer.two_view_estimator, - keypoints_list, - putative_corr_idxs_dict, - intrinsics, - loader.get_relative_pose_priors(image_pair_indices), - loader.get_gt_cameras(), - gt_scene_mesh=self.loader.get_gt_scene_trimesh(), -) -""" - """ conda install -c conda-forge embree=2.17.7 diff --git a/tests/utils/test_geometry_comparisons.py b/tests/utils/test_geometry_comparisons.py index 0bc64eb72..e3bd20576 100644 --- a/tests/utils/test_geometry_comparisons.py +++ b/tests/utils/test_geometry_comparisons.py @@ -392,5 +392,24 @@ def test_compute_cyclic_rotation_error() -> None: assert np.isclose(cycle_error, 5) +def test_is_valid_SO3() -> None: + """Ensures that rotation matrices are accurately checked for SO(3) membership.""" + R = Rot3(np.eye(3)) + assert geometry_comparisons.is_valid_SO3(R) + + # fmt: off + # Determinant and diagonal are obviously not unit-sized. + R = np.array( + [ + [3.85615, 0.0483263, 1.5018], + [-1.50233, 0.199159, 3.8511], + [-0.0273012, -4.13347, 0.203112] + ] + ) + R = Rot3(R) + # fmt: on + assert not geometry_comparisons.is_valid_SO3(R) + + if __name__ == "__main__": unittest.main() From 897923a3b1d6ad9323a0b5cecc1aa6846665467d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:11:30 -0700 Subject: [PATCH 054/145] make some parts of T & T loader optional for unit testing w/o large files --- gtsfm/loader/tanks_and_temples_loader.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index c23667e31..4033eea79 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -64,10 +64,10 @@ def __init__( self, img_dir: str, poses_fpath: str, - lidar_ply_fpath: str, - ply_alignment_fpath: str, bounding_polyhedron_json_fpath: str, - colmap_ply_fpath: str, + ply_alignment_fpath: str, + lidar_ply_fpath: Optional[str] = None, + colmap_ply_fpath: Optional[str] = None, max_resolution: int = 1080, max_num_images: Optional[int] = None, ) -> None: @@ -79,12 +79,12 @@ def __init__( Args: img_dir: Path to where images of a single scene are stored. poses_fpath: Path to .log file containing COLMAP-reconstructed camera poses. - lidar_ply_fpath: Path to LiDAR scan, in PLY format. - ply_alignment_fpath: The alignment text file contains the transformation matrix to align the COLMAP - reconstruction to the corresponding ground-truth point cloud. bounding_polyhedron_json_fpath: Path to JSON file containing specification of bounding polyhedron to crop the COLMAP reconstructed point cloud. - colmap_ply_fpath: Path to COLMAP reconstructed point cloud, in PLY format. + ply_alignment_fpath: The alignment text file contains the transformation matrix to align the COLMAP + reconstruction to the corresponding ground-truth point cloud. + lidar_ply_fpath: Path to LiDAR scan, in PLY format. Omitted for unit tests. + colmap_ply_fpath: Path to COLMAP reconstructed point cloud, in PLY format. Omitted for unit tests. max_num_images: Maximum number of images to use for reconstruction. """ super().__init__(max_resolution) From ef745827a93e5b23e326016ac29bacec6cd77be5 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:11:41 -0700 Subject: [PATCH 055/145] flake8 fixes --- gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py | 1 - 1 file changed, 1 deletion(-) diff --git a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py index 52664d68f..52e42dfb7 100644 --- a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py +++ b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py @@ -32,7 +32,6 @@ def construct_argparser(self) -> argparse.ArgumentParser: default=None, help="Optionally specifies the maximum number of images from the dataset to use for reconstruction.", ) - return parser def construct_loader(self) -> LoaderBase: From f59d10ca565c54b7e49e9c9255aceec5c591badf Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:19:02 -0700 Subject: [PATCH 056/145] Clean up T & T unit tests --- tests/loader/test_tanks_and_temples_loader.py | 74 +++++++++---------- 1 file changed, 36 insertions(+), 38 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index a39cc0b89..2b1b36ed5 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -55,15 +55,22 @@ def test_get_camera_intrinsics_full_res(self) -> None: def test_get_camera_pose(self) -> None: """ """ wTi = self.loader.get_camera_pose(index=0) - # import pdb; pdb.set_trace() - """ - Unit Test - (Pdb) p wTi_gt[0] - array([[-0.43321999, -0.05555365, -0.89957447, 3.24710662], - [ 0.05678138, 0.99443357, -0.08875668, 0.14032715], - [ 0.89949781, -0.08953024, -0.42765409, 0.55723886], - [ 0. , 0. , 0. , 1. ]]) - """ + + det = np.linalg.det(wTi.rotation().matrix()) + assert np.isclose(det, 1.0) + + wRi = wTi.rotation().matrix() + assert np.allclose(wRi @ wRi.T, np.eye(3)) + + expected_wRi = np.array([ + [-0.43322, -0.0555537, -0.899574], + [0.0567814, 0.994434, -0.0887567], + [0.899498, -0.0895302, -0.427654] + ]) + assert np.allclose(wTi.rotation().matrix(), expected_wRi) + + expected_wti = np.array([ 3.24711, 0.140327, 0.557239 ]) + assert np.allclose(wTi.translation(), expected_wti) def test_get_image_fpath(self) -> None: """Tests that index 0 maps to image '0000001.jpg', which is the zero'th image in the Barn dataset.""" @@ -79,21 +86,21 @@ def test_get_image_full_res(self) -> None: assert image.height == 1080 assert image.width == 1920 - def test_get_synthetic_correspondences(self) -> None: + def test_synthetic_correspondences_have_zero_two_view_error(self) -> None: # Skip this test in the CI, and only uncomment it to run it locally, since it requires PLY. return # Compute 2-view error using a front-end. verifier = LoRansac(use_intrinsics_in_verification=True, estimation_threshold_px=0.5) + i1 = 0 + i2 = 1 + keypoints_list, match_indices_dict = loader.generate_synthetic_correspondences( images = [], image_pairs = [(i1,i2)] ) keypoints_i1, keypoints_i2 = keypoints_list - i1 = 0 - i2 = 1 - wTi1 = self.loader.get_camera_pose(index=i1) wTi2 = self.loader.get_camera_pose(index=i2) @@ -116,6 +123,22 @@ def test_get_synthetic_correspondences(self) -> None: direction_angular_err = geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed) print(f"Errors: rotation {rot_angular_err:.2f}, direction {direction_angular_err:.2f}") + # if i2Ri1_expected is None: + # self.assertIsNone(i2Ri1_computed) + # else: + # angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) + # self.assertLess( + # angular_err, + # ROTATION_ANGULAR_ERROR_DEG_THRESHOLD, + # msg=f"Angular error {angular_err:.1f} vs. tol. {ROTATION_ANGULAR_ERROR_DEG_THRESHOLD:.1f}", + # ) + # if i2Ui1_expected is None: + # self.assertIsNone(i2Ui1_computed) + # else: + # self.assertLess( + # geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed), + # DIRECTION_ANGULAR_ERROR_DEG_THRESHOLD, + # ) def test_project_synthetic_correspondences_to_image(self) -> None: # Skip this test in the CI, and only uncomment it to run it locally, since it requires PLY. @@ -177,31 +200,6 @@ def visualize_overlapping_point_clouds(self) -> None: ) -# View frustums -# for index in loader.wTi_gt_dict.keys(): -# wTc = loader.get_camera_pose(index) - - -# if i2Ri1_expected is None: -# self.assertIsNone(i2Ri1_computed) -# else: -# angular_err = geom_comp_utils.compute_relative_rotation_angle(i2Ri1_expected, i2Ri1_computed) -# self.assertLess( -# angular_err, -# ROTATION_ANGULAR_ERROR_DEG_THRESHOLD, -# msg=f"Angular error {angular_err:.1f} vs. tol. {ROTATION_ANGULAR_ERROR_DEG_THRESHOLD:.1f}", -# ) -# if i2Ui1_expected is None: -# self.assertIsNone(i2Ui1_computed) -# else: -# self.assertLess( -# geom_comp_utils.compute_relative_unit_translation_angle(i2Ui1_expected, i2Ui1_computed), -# DIRECTION_ANGULAR_ERROR_DEG_THRESHOLD, -# ) -# np.testing.assert_array_equal(verified_indices_computed, verified_indices_expected) - - - """ conda install -c conda-forge embree=2.17.7 From bf4cbbf987d10361658ed41c6db8e5801e8edb0b Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:22:30 -0700 Subject: [PATCH 057/145] flake8 cleanup --- tests/loader/test_tanks_and_temples_loader.py | 87 +++++-------------- 1 file changed, 24 insertions(+), 63 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 2b1b36ed5..9bd9d1c4a 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -9,7 +9,7 @@ import matplotlib.pyplot as plt import numpy as np import open3d -from gtsam import Cal3Bundler, Rot3, Unit3 +from gtsam import Cal3Bundler, Unit3 import gtsfm.utils.geometry_comparisons as geom_comp_utils import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils @@ -18,18 +18,22 @@ from gtsfm.frontend.verifier.loransac import LoRansac - _TEST_DATA_ROOT = Path(__file__).resolve().parent.parent / "data" / "tanks_and_temples_barn" class TanksAndTemplesLoaderTest(unittest.TestCase): - def setUp(self) -> None: - img_dir = _TEST_DATA_ROOT / 'Barn' - poses_fpath = _TEST_DATA_ROOT / 'Barn_COLMAP_SfM.log' - ply_alignment_fpath = _TEST_DATA_ROOT / 'Barn_trans.txt' - bounding_polyhedron_json_fpath = _TEST_DATA_ROOT / 'Barn.json' + # _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') + scene_name = "Barn" # 'Truck' + + # lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' + # colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' + + img_dir = _TEST_DATA_ROOT / scene_name + poses_fpath = _TEST_DATA_ROOT / f"{scene_name}_COLMAP_SfM.log" + ply_alignment_fpath = _TEST_DATA_ROOT / f"{scene_name}_trans.txt" + bounding_polyhedron_json_fpath = _TEST_DATA_ROOT / f"{scene_name}.json" # Note: PLY files are not provided here, as they are too large to include as test data (300 MB each). self.loader = TanksAndTemplesLoader( @@ -62,21 +66,19 @@ def test_get_camera_pose(self) -> None: wRi = wTi.rotation().matrix() assert np.allclose(wRi @ wRi.T, np.eye(3)) - expected_wRi = np.array([ - [-0.43322, -0.0555537, -0.899574], - [0.0567814, 0.994434, -0.0887567], - [0.899498, -0.0895302, -0.427654] - ]) + expected_wRi = np.array( + [[-0.43322, -0.0555537, -0.899574], [0.0567814, 0.994434, -0.0887567], [0.899498, -0.0895302, -0.427654]] + ) assert np.allclose(wTi.rotation().matrix(), expected_wRi) - expected_wti = np.array([ 3.24711, 0.140327, 0.557239 ]) + expected_wti = np.array([3.24711, 0.140327, 0.557239]) assert np.allclose(wTi.translation(), expected_wti) def test_get_image_fpath(self) -> None: """Tests that index 0 maps to image '0000001.jpg', which is the zero'th image in the Barn dataset.""" - fpath = self.loader.get_image_fpath(index = 0) + fpath = self.loader.get_image_fpath(index=0) assert isinstance(fpath, Path) - assert fpath.parts[-4:] == ('data', 'tanks_and_temples_barn', 'Barn', '000001.jpg') + assert fpath.parts[-4:] == ("data", "tanks_and_temples_barn", "Barn", "000001.jpg") def test_get_image_full_res(self) -> None: """Verifies that the zero'th image has expected image dimensions.""" @@ -95,9 +97,8 @@ def test_synthetic_correspondences_have_zero_two_view_error(self) -> None: i1 = 0 i2 = 1 - keypoints_list, match_indices_dict = loader.generate_synthetic_correspondences( - images = [], - image_pairs = [(i1,i2)] + keypoints_list, match_indices_dict = self.loader.generate_synthetic_correspondences( + images=[], image_pairs=[(i1, i2)] ) keypoints_i1, keypoints_i2 = keypoints_list @@ -114,7 +115,7 @@ def test_synthetic_correspondences_have_zero_two_view_error(self) -> None: i2Ri1_computed, i2Ui1_computed, verified_indices_computed, _ = verifier.verify( keypoints_i1, keypoints_i2, - match_indices_dict[(i1,i2)], + match_indices_dict[(i1, i2)], camera_intrinsics_i1, camera_intrinsics_i2, ) @@ -148,10 +149,10 @@ def test_project_synthetic_correspondences_to_image(self) -> None: points = np.asarray(pcd.points) # Project mesh vertices into image 1. - mesh = loader.reconstruct_mesh() + mesh = self.loader.reconstruct_mesh() points = np.asarray(mesh.vertices) - camera_i1 = loader.get_camera(index=0) + camera_i1 = self.loader.get_camera(index=0) keypoints_i1 = [] for point in points: @@ -161,7 +162,7 @@ def test_project_synthetic_correspondences_to_image(self) -> None: img = self.loader.get_image_full_res(index=0) plt.imshow(img.value_array.astype(np.uint8)) - plt.scatter(keypoints_i1[:,0], keypoints_i1[:,1], 10, color='r', marker='.', alpha=0.007) + plt.scatter(keypoints_i1[:, 0], keypoints_i1[:, 1], 10, color="r", marker=".", alpha=0.007) plt.show() open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) @@ -171,50 +172,10 @@ def visualize_overlapping_point_clouds(self) -> None: calibrations = [self.loader.get_camera_intrinsics_full_res(index) for index in range(len(self.loader))] frustums = open3d_vis_utils.create_all_frustums_open3d( - wTi_list=wTi_list, calibrations=calibrations, frustum_ray_len= 0.3 + wTi_list=wTi_list, calibrations=calibrations, frustum_ray_len=0.3 ) geometries = frustums lidar_pcd = self.loader.get_lidar_point_cloud() colmap_pcd = self.loader.get_colmap_point_cloud() open3d.visualization.draw_geometries(geometries + [lidar_pcd] + [colmap_pcd]) - - - -dataset_root = '/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410' -scene_name = 'Barn' # 'Truck' - -img_dir = f'{dataset_root}/{scene_name}' -poses_fpath = f'{dataset_root}/{scene_name}_COLMAP_SfM.log' -lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' -colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' -ply_alignment_fpath = f'{dataset_root}/{scene_name}_trans.txt' -bounding_polyhedron_json_fpath = f'{dataset_root}/{scene_name}.json' -loader = TanksAndTemplesLoader( - img_dir=img_dir, - poses_fpath=poses_fpath, - lidar_ply_fpath=lidar_ply_fpath, - ply_alignment_fpath=ply_alignment_fpath, - bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, - colmap_ply_fpath=colmap_ply_fpath, -) - - - -""" -conda install -c conda-forge embree=2.17.7 - -pip install pyembree -print(trimesh.ray.ray_pyembree.error) - -In [1]: import pyembree - -In [2]: import trimesh - -In [3]: m = trimesh.creation.icosphere - -In [5]: m = trimesh.creation.icosphere() - -# check for `ray_pyembree` instead of `ray_triangle` -In [6]: m.ray -""" From eadd6ee137c55e64eb15fdc9076ac5334f08d1e5 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:23:14 -0700 Subject: [PATCH 058/145] back to 700 correspondences --- gtsfm/loader/tanks_and_temples_loader.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 4033eea79..63f50d28d 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -324,14 +324,14 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, open3d_mesh_fpath: str, - num_sampled_3d_points: int = 200, + num_sampled_3d_points: int = 700, ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. Args: camera_i1: First camera. camera_i2: Second camera. - open3d_mesh_fpath + open3d_mesh_fpath: Path to saved Open3d mesh. num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. Returns: From dd3d3c95745a605797b688d97465d1acaf941081 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:35:31 -0700 Subject: [PATCH 059/145] clean up test comments --- gtsfm/loader/tanks_and_temples_loader.py | 2 +- tests/loader/test_tanks_and_temples_loader.py | 14 ++++++++------ 2 files changed, 9 insertions(+), 7 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 63f50d28d..fdaa4882e 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -238,8 +238,8 @@ def reconstruct_mesh( Returns: Reconstructed mesh. """ + # Get LiDAR point cloud, in camera coordinate frame. pcd = self.get_lidar_point_cloud() - # pcd = pcd.transform(self.lidar_T_colmap) if crop_by_polyhedron: pass # pcd = crop_points_to_bounding_polyhedron(pcd, self.bounding_polyhedron_json_fpath) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 9bd9d1c4a..1ba3c88c1 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -23,12 +23,14 @@ class TanksAndTemplesLoaderTest(unittest.TestCase): def setUp(self) -> None: - - # _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') scene_name = "Barn" # 'Truck' + # Uncomment lines below to run locally. + # _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') # lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' # colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' + lidar_ply_fpath = None + colmap_ply_fpath = None img_dir = _TEST_DATA_ROOT / scene_name poses_fpath = _TEST_DATA_ROOT / f"{scene_name}_COLMAP_SfM.log" @@ -41,12 +43,12 @@ def setUp(self) -> None: poses_fpath=poses_fpath, bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, ply_alignment_fpath=ply_alignment_fpath, - lidar_ply_fpath=None, - colmap_ply_fpath=None, + lidar_ply_fpath=lidar_ply_fpath, + colmap_ply_fpath=colmap_ply_fpath, ) def test_get_camera_intrinsics_full_res(self) -> None: - """ """ + """Tests that expected camera intrinsics for zero'th image are returned.""" intrinsics = self.loader.get_camera_intrinsics_full_res(index=0) assert isinstance(intrinsics, Cal3Bundler) @@ -57,7 +59,7 @@ def test_get_camera_intrinsics_full_res(self) -> None: assert np.isclose(intrinsics.py(), 540.0) def test_get_camera_pose(self) -> None: - """ """ + """Tests that expected GT camera pose for zero'th image are returned.""" wTi = self.loader.get_camera_pose(index=0) det = np.linalg.det(wTi.rotation().matrix()) From 97304d365d61b1a18c30ff0686d6e2be598b66c8 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:58:58 -0700 Subject: [PATCH 060/145] Increase mesh resolution, with alpha=0.1 in mesh reconstruction, instead of 0.5 --- gtsfm/loader/tanks_and_temples_loader.py | 12 ++++-------- 1 file changed, 4 insertions(+), 8 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index fdaa4882e..3205d578a 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -195,7 +195,7 @@ def get_camera_pose(self, index: int) -> Optional[Pose3]: raise ValueError("Given GT rotation is not a member of SO(3) and GT metrics will be incorrect.") return wTi - def get_lidar_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.PointCloud: + def get_lidar_point_cloud(self, downsample_factor: int = 10) -> open3d.geometry.PointCloud: """Returns ground-truth point cloud, captured using an industrial laser scanner. Move all LiDAR points to the COLMAP frame. @@ -203,13 +203,12 @@ def get_lidar_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.P pcd = open3d.io.read_point_cloud(self.lidar_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) points = points[::downsample_factor] + rgb = rgb[::downsample_factor] lidar_Sim3_colmap = _create_Sim3_from_tt_dataset_alignment_transform(self.lidar_Sim3_colmap) colmap_Sim3_lidar = np.linalg.inv(lidar_Sim3_colmap) # Transform LiDAR points to COLMAP coordinate frame. points = transform_point_cloud_vectorized(points, colmap_Sim3_lidar) - - rgb = rgb[::downsample_factor] pcd = open3d_vis_utils.create_colored_point_cloud_open3d(point_cloud=points, rgb=rgb) return pcd @@ -224,16 +223,15 @@ def get_colmap_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry. def reconstruct_mesh( self, - point_downsample_factor: int = 10, crop_by_polyhedron: bool = True, reconstruction_algorithm: MeshReconstructionType = MeshReconstructionType.ALPHA_SHAPE, ) -> open3d.geometry.TriangleMesh: """Reconstructs mesh from LiDAR PLY file. Args: - point_downsample_factor crop_by_polyhedron: Whether to crop by a manually specified polyhedron, vs. simply by range from global origin. + reconstruction_algorithm: Mesh reconstruction algorithm to use, given input point cloud. Returns: Reconstructed mesh. @@ -250,13 +248,11 @@ def reconstruct_mesh( valid = np.linalg.norm(points, axis=1) < max_radius points = points[valid] rgb = rgb[valid] - points = points[::point_downsample_factor] - rgb = rgb[::point_downsample_factor] pcd = open3d_vis_utils.create_colored_point_cloud_open3d(points, rgb) pcd.estimate_normals() if reconstruction_algorithm == MeshReconstructionType.ALPHA_SHAPE: - alpha = 0.5 # 0.1 # 0.03 + alpha = 0.1 # 0.03 print(f"alpha={alpha:.3f}") mesh = open3d.geometry.TriangleMesh.create_from_point_cloud_alpha_shape(pcd, alpha) mesh.compute_vertex_normals() From 68a8fa16786c034d47d8b9bbc0ebf22257051e45 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 00:59:56 -0700 Subject: [PATCH 061/145] fix input type as str not Path (via cast) for T& T loader test --- tests/loader/test_tanks_and_temples_loader.py | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 1ba3c88c1..c6fdfeaae 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -27,8 +27,8 @@ def setUp(self) -> None: # Uncomment lines below to run locally. # _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') - # lidar_ply_fpath = f'{dataset_root}/{scene_name}.ply' - # colmap_ply_fpath = f'{dataset_root}/{scene_name}_COLMAP.ply' + # lidar_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}.ply' + # colmap_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}_COLMAP.ply' lidar_ply_fpath = None colmap_ply_fpath = None @@ -39,12 +39,12 @@ def setUp(self) -> None: # Note: PLY files are not provided here, as they are too large to include as test data (300 MB each). self.loader = TanksAndTemplesLoader( - img_dir=img_dir, - poses_fpath=poses_fpath, - bounding_polyhedron_json_fpath=bounding_polyhedron_json_fpath, - ply_alignment_fpath=ply_alignment_fpath, - lidar_ply_fpath=lidar_ply_fpath, - colmap_ply_fpath=colmap_ply_fpath, + img_dir=str(img_dir), + poses_fpath=str(poses_fpath), + bounding_polyhedron_json_fpath=str(bounding_polyhedron_json_fpath), + ply_alignment_fpath=str(ply_alignment_fpath), + lidar_ply_fpath=str(lidar_ply_fpath), + colmap_ply_fpath=str(colmap_ply_fpath), ) def test_get_camera_intrinsics_full_res(self) -> None: @@ -170,6 +170,7 @@ def test_project_synthetic_correspondences_to_image(self) -> None: def visualize_overlapping_point_clouds(self) -> None: """Visualize overlaid LiDAR and COLMAP point clouds.""" + return wTi_list = [self.loader.get_camera_pose(index) for index in range(len(self.loader))] calibrations = [self.loader.get_camera_intrinsics_full_res(index) for index in range(len(self.loader))] From 96de130a94fbeeb021ca1134190952a76fae768f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 01:00:46 -0700 Subject: [PATCH 062/145] add 3 tanks and temples images as test data --- 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zilscBFC>?2+KQ6bc*VL{>Xt_%C3u*WCr3?GC}_&D0s$Ix_wS5cE1H}~2}!PxC5Jf8 z7@2mjxKU4`aoV#VW^H9Ab4%l~@1D8%h8I;wa>dDOehriuiRH2yhVcBRsiu(Ijd`Vt zQ~E*VgTbV=d>z7EgfgYv#FuJU%ted0r881dmPNH*T!Kjw;&Jk4Agi#-N0i4KFA_D| zc&R3L40Lq#$wwh<9jU8z7}il+ht5=Hrqx!PMbT-ugb#i9I7g>7RK2jw Date: Sun, 16 Jul 2023 15:47:10 -0700 Subject: [PATCH 063/145] save shonan input --- gtsfm/averaging/rotation/shonan.py | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/gtsfm/averaging/rotation/shonan.py b/gtsfm/averaging/rotation/shonan.py index db8842f47..f637870f1 100644 --- a/gtsfm/averaging/rotation/shonan.py +++ b/gtsfm/averaging/rotation/shonan.py @@ -169,6 +169,17 @@ def run_rotation_averaging( underconstrained system or ill-constrained system), or where the camera pose had no valid observation in the input to run_rotation_averaging(). """ + i2Ri1_quaternion_list = [] + for (i1,i2), i2Ri1 in i2Ri1_dict.items(): + i2Ri1_quaternion = i2Ri1.toQuaternion() + qw, qx, qy, qz = i2Ri1_quaternion.w(), i2Ri1_quaternion.x(), i2Ri1_quaternion.y(), i2Ri1_quaternion.z() + i2Ri1_quaternion_list.append({"i1": i1, "i2": i2, "quaternion": {"qw": qw, "qx": qx, "qy": qy, "qz": qz}}) + + serialization_data = {"i2Ri1": i2Ri1_quaternion_list} + import gtsfm.utils.io as io_utils + json_fpath = "result_metrics/shonan_input.json" + io_utils.save_json_file(json_fpath, data=serialization_data) + if len(i2Ri1_dict) == 0: logger.warning("Shonan cannot proceed: No cycle-consistent triplets found after filtering.") wRi_list = [None] * num_images From cfb46fe98cd1f6ba2d37271bd00b36d2902e12e7 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 16 Jul 2023 18:08:23 -0700 Subject: [PATCH 064/145] cast i1, i2 to int, as int64 not json serializable --- gtsfm/averaging/rotation/shonan.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/gtsfm/averaging/rotation/shonan.py b/gtsfm/averaging/rotation/shonan.py index f637870f1..f73518ad5 100644 --- a/gtsfm/averaging/rotation/shonan.py +++ b/gtsfm/averaging/rotation/shonan.py @@ -170,13 +170,16 @@ def run_rotation_averaging( in the input to run_rotation_averaging(). """ i2Ri1_quaternion_list = [] - for (i1,i2), i2Ri1 in i2Ri1_dict.items(): + for (i1, i2), i2Ri1 in i2Ri1_dict.items(): i2Ri1_quaternion = i2Ri1.toQuaternion() qw, qx, qy, qz = i2Ri1_quaternion.w(), i2Ri1_quaternion.x(), i2Ri1_quaternion.y(), i2Ri1_quaternion.z() - i2Ri1_quaternion_list.append({"i1": i1, "i2": i2, "quaternion": {"qw": qw, "qx": qx, "qy": qy, "qz": qz}}) + i2Ri1_quaternion_list.append( + {"i1": int(i1), "i2": int(i2), "quaternion": {"qw": qw, "qx": qx, "qy": qy, "qz": qz}} + ) serialization_data = {"i2Ri1": i2Ri1_quaternion_list} import gtsfm.utils.io as io_utils + json_fpath = "result_metrics/shonan_input.json" io_utils.save_json_file(json_fpath, data=serialization_data) From f366590cbca45f2848d828d6953686a30a0e841f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 17 Jul 2023 08:33:56 -0700 Subject: [PATCH 065/145] 200 3d landmarks --- gtsfm/loader/tanks_and_temples_loader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 3205d578a..e7d7035fc 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -320,7 +320,7 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, open3d_mesh_fpath: str, - num_sampled_3d_points: int = 700, + num_sampled_3d_points: int = 200, ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. From b3d0d9e1938b431236cfa2e4f051afe6a62a875e Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 17 Jul 2023 23:57:03 -0700 Subject: [PATCH 066/145] run tanks & temples on wildcat --- .../execute_single_benchmark_wildcat.sh | 21 +++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/.github/scripts/execute_single_benchmark_wildcat.sh b/.github/scripts/execute_single_benchmark_wildcat.sh index f5d2e09c7..2a61b1ce0 100755 --- a/.github/scripts/execute_single_benchmark_wildcat.sh +++ b/.github/scripts/execute_single_benchmark_wildcat.sh @@ -17,8 +17,23 @@ SHARE_INTRINSICS=$7 if [ "$DATASET_NAME" == "skydio-501" ]; then IMAGES_DIR="skydio-crane-mast-501-images" COLMAP_FILES_DIRPATH="skydio-501-colmap-pseudo-gt" +elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then + DATASET_ROOT="Tanks_and_Temples_Barn_410" + SCENE_NAME="Barn" fi +## Download the Tanks & Temples dataset. ################ +WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip +ZIP_FNAME=Tanks_and_Temples_Barn_410.zip +echo "Downloading ${ZIP_FNAME} with WGET" +wget -O $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip $WGET_URL1 +unzip -qq $DATASET_PREFIX/$ZIP_FNAME -d $DATASET_PREFIX +pwd $DATASET_PREFIX +ls -ltrh $DATASET_PREFIX +ls -ltrh $DATASET_PREFIX/$DATASET_ROOT +######################################### + + echo "Config: ${CONFIG_NAME}, Loader: ${LOADER_NAME}" echo "Max. Frame Lookahead: ${MAX_FRAME_LOOKAHEAD}, Image Extension: ${IMAGE_EXTENSION}, Max. Resolution: ${MAX_RESOLUTION}" echo "Share intrinsics for all images? ${SHARE_INTRINSICS}" @@ -60,4 +75,10 @@ elif [ "$LOADER_NAME" == "astrovision" ]; then --max_frame_lookahead $MAX_FRAME_LOOKAHEAD \ --max_resolution ${MAX_RESOLUTION} \ ${SHARE_INTRINSICS_ARG} + +elif [ "$LOADER_NAME" == "tanks-and-temples" ]; then + python gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py \ + --config_name ${CONFIG_NAME}.yaml \ + --dataset_root $DATASET_ROOT \ + --scene_name $SCENE_NAME fi From 46dd6f9d0043337696048e16fc54bb7e94a649e1 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 17 Jul 2023 23:59:24 -0700 Subject: [PATCH 067/145] Log other connected components --- .github/workflows/benchmark-wildcat.yml | 7 ++++--- .github/workflows/benchmark.yml | 2 +- gtsfm/averaging/rotation/shonan.py | 12 ++++++++---- gtsfm/configs/synthetic_front_end.yaml | 21 ++++++++++++++++++--- gtsfm/utils/graph.py | 12 ++++++++---- 5 files changed, 39 insertions(+), 15 deletions(-) diff --git a/.github/workflows/benchmark-wildcat.yml b/.github/workflows/benchmark-wildcat.yml index 6c03cac96..39284daa5 100644 --- a/.github/workflows/benchmark-wildcat.yml +++ b/.github/workflows/benchmark-wildcat.yml @@ -8,7 +8,7 @@ name: Benchmark GTSFM on select datasets on the wildcat machine # one machine. ################################################################################ -on: [workflow_dispatch] +on: [pull_request, workflow_dispatch] jobs: benchmark: name: Benchmark @@ -18,8 +18,9 @@ jobs: fail-fast: false matrix: config_dataset_info: [ - # config dataset lookahead img-extension source loader max-res share-intrinsics - [skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], + # config dataset lookahead img-extension source loader max-res share-intrinsics + #[skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], + [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], ] defaults: run: diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index 8d8123245..3fc258174 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -23,7 +23,7 @@ jobs: [deep_front_end, notre-dame-20, 20, jpg, gdrive, colmap-loader, 760, false], [sift_front_end_astrovision, 2011205_rc3, 65, png, wget, astrovision, 1024, true], [deep_front_end_astrovision, 2011205_rc3, 65, png, wget, astrovision, 1024, true], - [synthetic_front_end, tanks-and-temples-barn-410, 3, jpg, wget, tanks-and-temples, 1080, true], + [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], ] defaults: run: diff --git a/gtsfm/averaging/rotation/shonan.py b/gtsfm/averaging/rotation/shonan.py index f73518ad5..1e4347dec 100644 --- a/gtsfm/averaging/rotation/shonan.py +++ b/gtsfm/averaging/rotation/shonan.py @@ -28,7 +28,6 @@ from gtsfm.averaging.rotation.rotation_averaging_base import RotationAveragingBase from gtsfm.common.pose_prior import PosePrior -TWOVIEW_ROTATION_SIGMA = 1 POSE3_DOF = 6 logger = logger_utils.get_logger() @@ -37,10 +36,15 @@ class ShonanRotationAveraging(RotationAveragingBase): """Performs Shonan rotation averaging.""" - def __init__(self) -> None: - """ + def __init__(self, two_view_rotation_sigma: float = 1.0) -> None: + """Initializes module. + Note: `p_min` and `p_max` describe the minimum and maximum relaxation rank. + + Args: + two_view_rotation_sigma: Covariance to use (lower values -> more strictly adhere to input measurements). """ + self._two_view_rotation_sigma = two_view_rotation_sigma self._p_min = 5 self._p_max = 30 @@ -56,7 +60,7 @@ def __between_factors_from_2view_relative_rotations( ) -> BetweenFactorPose3s: """Create between factors from relative rotations computed by the 2-view estimator.""" # TODO: how to weight the noise model on relative rotations compared to priors? - noise_model = gtsam.noiseModel.Isotropic.Sigma(POSE3_DOF, TWOVIEW_ROTATION_SIGMA) + noise_model = gtsam.noiseModel.Isotropic.Sigma(POSE3_DOF, self._two_view_rotation_sigma) between_factors = BetweenFactorPose3s() diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index dcde95ddd..b23871f1c 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -7,14 +7,27 @@ SceneOptimizer: save_3d_viz: True pose_angular_error_thresh: 5 # degrees + # retriever: + # _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever + # max_frame_lookahead: 4 + + # retriever: + # _target_: gtsfm.retriever.netvlad_retriever.NetVLADRetriever + # num_matched: 50 + # min_score: 0.3 + retriever: - _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever - max_frame_lookahead: 4 + _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever + num_matched: 20 + min_score: 0.2 + max_frame_lookahead: 10 + correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 - dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 + #dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 + dataset_root: /home/tdriver6/sfm_datasets/Tanks_and_Temples_Barn_410 scene_name: Barn two_view_estimator: @@ -50,6 +63,8 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging + # Use a very low value. + two_view_rotation_sigma: 0.01 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/utils/graph.py b/gtsfm/utils/graph.py index 1be190e91..f62ddf98b 100644 --- a/gtsfm/utils/graph.py +++ b/gtsfm/utils/graph.py @@ -21,7 +21,7 @@ def get_nodes_in_largest_connected_component(edges: List[Tuple[int, int]]) -> Li """Finds the nodes in the largest connected component of the bidirectional graph defined by the input edges. Args: - edges: edges of the bi-directional graph. + edges: Edges of the bi-directional graph. Returns: Nodes in the largest connected component of the input graph. @@ -32,9 +32,13 @@ def get_nodes_in_largest_connected_component(edges: List[Tuple[int, int]]) -> Li input_graph = nx.Graph() input_graph.add_edges_from(edges) - # get the largest connected component - largest_cc = max(nx.connected_components(input_graph), key=len) - subgraph = input_graph.subgraph(largest_cc).copy() + # Log the sizes of the connected components. + cc_sizes = [len(x) for x in sorted(list(nx.connected_components(input_graph)))] + print("Connected component sizes: ", cc_sizes, " nodes.") + + # Get the largest connected component. + largest_cc_nodes = max(nx.connected_components(input_graph), key=len) + subgraph = input_graph.subgraph(largest_cc_nodes).copy() return list(subgraph.nodes()) From 9b26318bc4aebc6844327b156778987f7d1e1722 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 17 Jul 2023 23:59:38 -0700 Subject: [PATCH 068/145] fix docstring capitalization --- gtsfm/two_view_estimator.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/gtsfm/two_view_estimator.py b/gtsfm/two_view_estimator.py index a4de03f46..ddfc5ea16 100644 --- a/gtsfm/two_view_estimator.py +++ b/gtsfm/two_view_estimator.py @@ -451,18 +451,18 @@ def aggregate_frontend_metrics( rot3_angular_errors = np.array(rot3_angular_errors_list, dtype=float) trans_angular_errors = np.array(trans_angular_errors_list, dtype=float) - # count number of rot3 errors which are not None. Should be same in rot3/unit3 + # Count number of rot3 errors which are not None. Should be same in rot3/unit3. num_valid_image_pairs = np.count_nonzero(~np.isnan(rot3_angular_errors)) - # compute pose errors by picking the max error from rot3 and unit3 errors + # Compute pose errors by picking the max error from rot3 and unit3 errors. pose_errors = np.maximum(rot3_angular_errors, trans_angular_errors) - # check errors against the threshold + # Check errors against the threshold. success_count_rot3 = np.sum(rot3_angular_errors < angular_err_threshold_deg) success_count_unit3 = np.sum(trans_angular_errors < angular_err_threshold_deg) success_count_pose = np.sum(pose_errors < angular_err_threshold_deg) - # count image pair entries where inlier ratio w.r.t. GT model == 1. + # Count image pair entries where inlier ratio w.r.t. GT model == 1. all_correct = np.count_nonzero( [report.inlier_ratio_gt_model == 1.0 for report in two_view_reports_dict.values() if report is not None] ) From 6fabe5d658bfc17a1188f5472fcd0c5cd9b3c1ae Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 18 Jul 2023 00:27:38 -0700 Subject: [PATCH 069/145] dont redownload T&T --- .../scripts/execute_single_benchmark_wildcat.sh | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/.github/scripts/execute_single_benchmark_wildcat.sh b/.github/scripts/execute_single_benchmark_wildcat.sh index 2a61b1ce0..60d478d23 100755 --- a/.github/scripts/execute_single_benchmark_wildcat.sh +++ b/.github/scripts/execute_single_benchmark_wildcat.sh @@ -23,14 +23,14 @@ elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then fi ## Download the Tanks & Temples dataset. ################ -WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip -ZIP_FNAME=Tanks_and_Temples_Barn_410.zip -echo "Downloading ${ZIP_FNAME} with WGET" -wget -O $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip $WGET_URL1 -unzip -qq $DATASET_PREFIX/$ZIP_FNAME -d $DATASET_PREFIX -pwd $DATASET_PREFIX -ls -ltrh $DATASET_PREFIX -ls -ltrh $DATASET_PREFIX/$DATASET_ROOT +# WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip +# ZIP_FNAME=Tanks_and_Temples_Barn_410.zip +# echo "Downloading ${ZIP_FNAME} with WGET" +# wget -O $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip $WGET_URL1 +# unzip -qq $DATASET_PREFIX/$ZIP_FNAME -d $DATASET_PREFIX +# pwd $DATASET_PREFIX +# ls -ltrh $DATASET_PREFIX +# ls -ltrh $DATASET_PREFIX/$DATASET_ROOT ######################################### From 8ce2a4cbf5400d051c8b0beaf92fa40f93545b4a Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 18 Jul 2023 00:28:03 -0700 Subject: [PATCH 070/145] run with low Shonan sigma on CI --- .github/workflows/benchmark-wildcat.yml | 2 +- gtsfm/configs/synthetic_front_end.yaml | 20 ++++++++++---------- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/.github/workflows/benchmark-wildcat.yml b/.github/workflows/benchmark-wildcat.yml index 39284daa5..0ca00a9d0 100644 --- a/.github/workflows/benchmark-wildcat.yml +++ b/.github/workflows/benchmark-wildcat.yml @@ -8,7 +8,7 @@ name: Benchmark GTSFM on select datasets on the wildcat machine # one machine. ################################################################################ -on: [pull_request, workflow_dispatch] +on: [workflow_dispatch] jobs: benchmark: name: Benchmark diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index b23871f1c..ef91c1d8c 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -7,27 +7,27 @@ SceneOptimizer: save_3d_viz: True pose_angular_error_thresh: 5 # degrees - # retriever: - # _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever - # max_frame_lookahead: 4 + retriever: + _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever + max_frame_lookahead: 4 # retriever: # _target_: gtsfm.retriever.netvlad_retriever.NetVLADRetriever # num_matched: 50 # min_score: 0.3 - retriever: - _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever - num_matched: 20 - min_score: 0.2 - max_frame_lookahead: 10 + # retriever: + # _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever + # num_matched: 20 + # min_score: 0.2 + # max_frame_lookahead: 10 correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 - #dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 - dataset_root: /home/tdriver6/sfm_datasets/Tanks_and_Temples_Barn_410 + dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 + # dataset_root: /home/tdriver6/sfm_datasets/Tanks_and_Temples_Barn_410 scene_name: Barn two_view_estimator: From 78e4e1d4325ca2933646c937e42ba356b755cfed Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 18 Jul 2023 00:28:40 -0700 Subject: [PATCH 071/145] turn off wildcat --- .github/workflows/benchmark-wildcat.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/benchmark-wildcat.yml b/.github/workflows/benchmark-wildcat.yml index 0ca00a9d0..88b666ffd 100644 --- a/.github/workflows/benchmark-wildcat.yml +++ b/.github/workflows/benchmark-wildcat.yml @@ -20,7 +20,7 @@ jobs: config_dataset_info: [ # config dataset lookahead img-extension source loader max-res share-intrinsics #[skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], - [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], + # [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], ] defaults: run: From 62c99d23dffffdf9f1e2b45b9d6978f2e2715ec9 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 18 Jul 2023 08:48:56 -0700 Subject: [PATCH 072/145] sample using poisson disk --- gtsfm/loader/tanks_and_temples_loader.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index e7d7035fc..2a39786be 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -337,8 +337,8 @@ def generate_synthetic_correspondences_for_image_pair( trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) # Sample random 3d points. - pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) - # pcd = mesh.sample_points_poisson_disk(number_of_points=500, pcl=pcd) + # pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) + pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) points = np.asarray(pcd.points) wTi_list = [camera_i1.pose(), camera_i2.pose()] From e6583413b1f7d81e6251eb1557ee28d7be4b9b3f Mon Sep 17 00:00:00 2001 From: John Lambert Date: Tue, 18 Jul 2023 14:05:10 -0700 Subject: [PATCH 073/145] Update tanks_and_temples_loader.py --- gtsfm/loader/tanks_and_temples_loader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 2a39786be..f18883c58 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -337,7 +337,7 @@ def generate_synthetic_correspondences_for_image_pair( trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) # Sample random 3d points. - # pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) + pcd = mesh.sample_points_uniformly(number_of_points=50) pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) points = np.asarray(pcd.points) From 279623e888b498ba9f4ebaf4c7f13e33ea5d9f9d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 18 Jul 2023 18:01:09 -0700 Subject: [PATCH 074/145] poisson sampling --- gtsfm/loader/tanks_and_temples_loader.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index f18883c58..b9c58a590 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -200,6 +200,8 @@ def get_lidar_point_cloud(self, downsample_factor: int = 10) -> open3d.geometry. Move all LiDAR points to the COLMAP frame. """ + if not Path(self.lidar_ply_fpath).exists(): + raise ValueError('') pcd = open3d.io.read_point_cloud(self.lidar_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) points = points[::downsample_factor] @@ -214,6 +216,8 @@ def get_lidar_point_cloud(self, downsample_factor: int = 10) -> open3d.geometry. def get_colmap_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.PointCloud: """Returns COLMAP-reconstructed point cloud.""" + if not Path(self.colmap_ply_fpath).exists(): + raise ValueError('') pcd = open3d.io.read_point_cloud(self.colmap_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) points = points[::downsample_factor] @@ -337,7 +341,7 @@ def generate_synthetic_correspondences_for_image_pair( trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) # Sample random 3d points. - pcd = mesh.sample_points_uniformly(number_of_points=50) + pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) points = np.asarray(pcd.points) From 420cfb42b949d1f93c32e402e5af9628150a4062 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 19:55:33 -0700 Subject: [PATCH 075/145] add pose auc --- .../averaging/translation/averaging_1dsfm.py | 23 +++--- gtsfm/configs/synthetic_front_end.yaml | 16 ++-- gtsfm/utils/geometry_comparisons.py | 6 +- tests/utils/test_metric_utils.py | 82 +++++++++++++++++++ 4 files changed, 107 insertions(+), 20 deletions(-) diff --git a/gtsfm/averaging/translation/averaging_1dsfm.py b/gtsfm/averaging/translation/averaging_1dsfm.py index 329431a45..a168b5e39 100644 --- a/gtsfm/averaging/translation/averaging_1dsfm.py +++ b/gtsfm/averaging/translation/averaging_1dsfm.py @@ -530,12 +530,12 @@ def compute_metrics( GtsfmMetric("num_outlier_1dsfm_measurements", len(outlier_i1_i2_pairs)), GtsfmMetric("num_translations_estimated", len([wti for wti in wti_list if wti is not None])), ] - + # Remaining metrics require ground truth, so return if GT is not available. gt_available = np.array([gt_wTi is not None for gt_wTi in gt_wTi_list]).any() if not gt_available: return GtsfmMetricsGroup("translation_averaging_metrics", ta_metrics) - + # Get ground truth translation directions for the measurements. gt_i2Ui1_dict = metrics_utils.get_twoview_translation_directions(gt_wTi_list) @@ -562,14 +562,17 @@ def compute_metrics( gt_wti_list = [gt_wTi.translation() if gt_wTi is not None else None for gt_wTi in gt_wTi_list] threshold_suffix = str(int(MAX_INLIER_MEASUREMENT_ERROR_DEG)) + "_deg" - ta_metrics.extend([ - GtsfmMetric("1dsfm_precision_" + threshold_suffix, precision), - GtsfmMetric("1dsfm_recall_" + threshold_suffix, recall), - GtsfmMetric("1dsfm_inlier_angular_errors_deg", inlier_angular_errors), - GtsfmMetric("1dsfm_outlier_angular_errors_deg", outlier_angular_errors), - metrics_utils.compute_translation_angle_metric(measured_gt_i2Ui1_dict, wTi_aligned_list), - metrics_utils.compute_translation_distance_metric(wti_aligned_list, gt_wti_list), - ]) + ta_metrics.extend( + [ + GtsfmMetric("1dsfm_precision_" + threshold_suffix, precision), + GtsfmMetric("1dsfm_recall_" + threshold_suffix, recall), + GtsfmMetric("1dsfm_inlier_angular_errors_deg", inlier_angular_errors), + GtsfmMetric("1dsfm_outlier_angular_errors_deg", outlier_angular_errors), + metrics_utils.compute_relative_translation_angle_metric(measured_gt_i2Ui1_dict, wTi_aligned_list), + metrics_utils.compute_translation_distance_metric(wti_aligned_list, gt_wti_list), + metrics_utils.compute_translation_angle_metric(gt_wTi_list, wTi_aligned_list), + ] + ) return GtsfmMetricsGroup("translation_averaging_metrics", ta_metrics) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index ef91c1d8c..b52e5375f 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -7,20 +7,20 @@ SceneOptimizer: save_3d_viz: True pose_angular_error_thresh: 5 # degrees - retriever: - _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever - max_frame_lookahead: 4 + # retriever: + # _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever + # max_frame_lookahead: 4 # retriever: # _target_: gtsfm.retriever.netvlad_retriever.NetVLADRetriever # num_matched: 50 # min_score: 0.3 - # retriever: - # _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever - # num_matched: 20 - # min_score: 0.2 - # max_frame_lookahead: 10 + retriever: + _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever + num_matched: 20 + min_score: 0.2 + max_frame_lookahead: 4 correspondence_generator: diff --git a/gtsfm/utils/geometry_comparisons.py b/gtsfm/utils/geometry_comparisons.py index 3f800617f..3097dc6d2 100644 --- a/gtsfm/utils/geometry_comparisons.py +++ b/gtsfm/utils/geometry_comparisons.py @@ -341,8 +341,8 @@ def compute_points_distance_l2(wti1: Optional[Point3], wti2: Optional[Point3]) - point is None. Args: - wti1: Point1 in world frame - wti2: Point2 in world frame + wti1: Point1 in world frame. + wti2: Point2 in world frame. Returns: L2 norm of wti1 - wti2 @@ -405,3 +405,5 @@ def is_valid_SO3(R: Rot3) -> bool: is_unit_det = np.isclose(np.linalg.det(R), 1.0) is_orthogonal = np.allclose(R @ R.T, np.eye(3)) return is_unit_det and is_orthogonal + + diff --git a/tests/utils/test_metric_utils.py b/tests/utils/test_metric_utils.py index 2e2f08fee..059ef6174 100644 --- a/tests/utils/test_metric_utils.py +++ b/tests/utils/test_metric_utils.py @@ -217,5 +217,87 @@ def test_compute_percentage_change_regression() -> None: assert np.isclose(change_percent, -99) +def test_pose_auc1() -> None: + """Area under curve resembles one triangle on the left, and then a rectangle to its right.""" + errors = np.ones(5) * 5.0 + thresholds = [5, 10, 20] + + aucs = metric_utils.pose_auc(errors, thresholds) + + # Sum triangles and rectangles. + # AUC @ 5 deg thresh: 0. (no cameras under this threshold). + # AUC @ 10 deg thresh: (5 * 0.2 * (1/2) + 1 * 5.0) / 10 + # AUC @ 20 deg thresh: (5 * 0.2 * (1/2) + 1 * 15.0) / 20 + expected_aucs = [0.0, 0.55, 0.775] + + assert np.allclose(aucs, expected_aucs) + + +def test_pose_auc_all_zero_errors_perfect_auc() -> None: + errors = np.zeros(5) + + thresholds = [5, 10, 20] + aucs = metric_utils.pose_auc(errors, thresholds) + expected_aucs = [1.0, 1.0, 1.0] + assert np.allclose(aucs, expected_aucs) + + +def test_pose_auc_all_errors_exceed_threshold_zero_auc() -> None: + errors = np.ones(5) * 25.0 + thresholds = [5, 10, 20] + aucs = metric_utils.pose_auc(errors, thresholds) + expected_aucs = [0.0, 0.0, 0.0] + assert np.allclose(aucs, expected_aucs) + + +def test_pose_auc_works_for_nan_error() -> None: + thresholds = [1, 2.5, 5, 10, 20] + + pose_errors = np.array( + [ + 0.19827642, + 0.24861091, + 0.3637053, + 0.46981758, + 0.4993183, + 0.9036343, + 1.6756403, + 0.83505183, + 0.28977838, + 0.42773795, + 0.48842856, + 6.654587, + np.nan, + 0.2563246, + 0.28247333, + 0.32443768, + 0.13612723, + 0.3027622, + 0.2385458, + 2.9347303, + 1.421731, + 0.3097524, + 0.57351094, + 0.5353638, + 0.5003734, + 0.4324144, + 0.22548386, + 0.06921609, + 0.25950527, + 0.9956337, + 0.76206225, + 0.5812757, + ] + ) + + aucs = metric_utils.pose_auc(pose_errors, thresholds) + + # Note recall is roughly (27 / 32) since exclude 5 errors above 1 deg -> (1.422, 1.676, 2.935, 6.655, nan) + # If we drew triangle up to recall point, we would get 0.84 * 0.5 -> 0.42, but more + # mass lies above diagonal, so get to roughly 0.5 AUC. + expected_auc_at_1_deg = 0.4996 + assert np.isclose(aucs[0], expected_auc_at_1_deg, atol=1e-3) + + if __name__ == "__main__": unittest.main() From 8aa9f9f22a19ef623d8ccae12cc878b91f88af2d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 19:55:43 -0700 Subject: [PATCH 076/145] add pose AUC --- gtsfm/utils/metrics.py | 181 +++++++++++++++++++++++++++++++++-------- 1 file changed, 148 insertions(+), 33 deletions(-) diff --git a/gtsfm/utils/metrics.py b/gtsfm/utils/metrics.py index 3c2a71865..c354e4679 100644 --- a/gtsfm/utils/metrics.py +++ b/gtsfm/utils/metrics.py @@ -2,12 +2,14 @@ Authors: Ayush Baid, Akshay Krishnan """ +import datetime import itertools import os import timeit from pathlib import Path -from typing import Dict, List, Optional, Set, Tuple, Union +from typing import Dict, List, Optional, Sequence, Set, Tuple, Union +import matplotlib.pyplot as plt import numpy as np from gtsam import Cal3Bundler, EssentialMatrix, PinholeCameraCal3Bundler, Point3, Pose3, Rot3, Unit3 from trimesh import Trimesh @@ -45,16 +47,16 @@ def compute_correspondence_metrics( Args: keypoints_i1: keypoints in image i1. - keypoints_i2: corr. keypoints in image i2. - intrinsics_i1: intrinsics for i1. - intrinsics_i2: intrinsics for i2. - dist_threshold: max acceptable distance for a correct correspondence. - gt_wTi1: ground truth pose of image i1. - gt_wTi2: ground truth pose of image i2. - gt_scene_mesh: ground truth triangular surface mesh of the scene in the world frame. + keypoints_i2: Corr. keypoints in image i2. + intrinsics_i1: Intrinsics for i1. + intrinsics_i2: Intrinsics for i2. + dist_threshold: Max acceptable distance for a correct correspondence. + gt_wTi1: Ground truth pose of image i1. + gt_wTi2: Ground truth pose of image i2. + gt_scene_mesh: Ground truth triangular surface mesh of the scene in the world frame. Raises: - ValueError: when the number of keypoints do not match. + ValueError: When the number of keypoints do not match. Returns: Boolean mask of which verified correspondences are classified as correct under Sampson error @@ -104,16 +106,16 @@ def epipolar_inlier_correspondences( """Compute inlier correspondences using epipolar geometry and the ground truth relative pose. Args: - keypoints_i1: keypoints in image i1. + keypoints_i1: Keypoints in image i1. keypoints_i2: corr. keypoints in image i2. - intrinsics_i1: intrinsics for i1. - intrinsics_i2: intrinsics for i2. - i2Ti1: relative pose - dist_threshold: max acceptable distance for a correct correspondence. + intrinsics_i1: Intrinsics for i1. + intrinsics_i2: Intrinsics for i2. + i2Ti1: Relative pose + dist_threshold: Max acceptable distance for a correct correspondence. Returns: is_inlier: (N, ) mask of inlier correspondences. - distance_squared: squared sampson distance between corresponding keypoints. + distance_squared: Squared sampson distance between corresponding keypoints. """ i2Ei1 = EssentialMatrix(i2Ti1.rotation(), Unit3(i2Ti1.translation())) i2Fi1 = verification_utils.essential_to_fundamental_matrix(i2Ei1, intrinsics_i1, intrinsics_i2) @@ -141,18 +143,18 @@ def mesh_inlier_correspondences( Args: keypoints_i1: N keypoints in image i1. keypoints_i2: N corresponding keypoints in image i2. - gt_camera_i1: ground truth camera for image i1, i.e., wTi1 and intrinsics. - gt_camera_i1: ground truth camera for image i2, i.e., wTi2 and intrinsics. - gt_scene_mesh: ground truth triangular surface mesh of the scene in the world frame. - dist_threshold: max acceptable reprojection error (in pixels) between image coordinates of ground truth landmark + gt_camera_i1: Ground truth camera for image i1, i.e., wTi1 and intrinsics. + gt_camera_i1: Ground truth camera for image i2, i.e., wTi2 and intrinsics. + gt_scene_mesh: Ground truth triangular surface mesh of the scene in the world frame. + dist_threshold: Max acceptable reprojection error (in pixels) between image coordinates of ground truth landmark and keypoint. Returns: is_inlier: (N, ) mask of inlier correspondences. - reproj_err: maximum error between forward-projected ground truth landmark and corresponding keypoints + reproj_err: Maximum error between forward-projected ground truth landmark and corresponding keypoints Raises: - ValueError if the number of keypoints do not match. + ValueError: If the number of keypoints do not match. """ if len(keypoints_i1) != len(keypoints_i2): raise ValueError("Keypoints must have same counts") @@ -190,8 +192,8 @@ def compute_keypoint_intersections( Args: keypoints: N keypoints computed in image. - gt_camera: ground truth camera. - gt_scene_mesh: ground truth triangular surface mesh. + gt_camera: Ground truth camera. + gt_scene_mesh: Ground truth triangular surface mesh. Returns: keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. @@ -215,16 +217,18 @@ def compute_rotation_angle_metric(wRi_list: List[Optional[Rot3]], gt_wRi_list: L have a gauge freedom. Args: - wRi_list: List of estimated camera rotations. - gt_wRi_list: List of ground truth camera rotations. + wRi_list: List of N estimated camera rotations. + gt_wRi_list: List of N ground truth camera rotations. Returns: - A GtsfmMetric for the rotation angle errors, in degrees. + A GtsfmMetric for the N rotation angle errors, in degrees. """ errors = [] for (wRi, gt_wRi) in zip(wRi_list, gt_wRi_list): if wRi is not None and gt_wRi is not None: errors.append(comp_utils.compute_relative_rotation_angle(wRi, gt_wRi)) + else: + errors.append(np.nan) return GtsfmMetric("rotation_angle_error_deg", errors) @@ -250,7 +254,7 @@ def compute_translation_distance_metric( return GtsfmMetric("translation_error_distance", errors) -def compute_translation_angle_metric( +def compute_relative_translation_angle_metric( i2Ui1_dict: Dict[Tuple[int, int], Optional[Unit3]], wTi_list: List[Optional[Pose3]] ) -> GtsfmMetric: """Computes statistics for angle between translations and direction measurements. @@ -260,15 +264,77 @@ def compute_translation_angle_metric( wTi_list: List of estimated camera poses. Returns: - A GtsfmMetric for the translation angle errors, in degrees. + A GtsfmMetric for the relative translation angle errors, in degrees. """ angles: List[Optional[float]] = [] for (i1, i2) in i2Ui1_dict: i2Ui1 = i2Ui1_dict[(i1, i2)] angles.append(comp_utils.compute_translation_to_direction_angle(i2Ui1, wTi_list[i2], wTi_list[i1])) + return GtsfmMetric("relative_translation_angle_error_deg", np.array(angles, dtype=np.float32)) + + +def compute_translation_angle_metric( + gt_wTi_list: List[Optional[Pose3]], wTi_list: List[Optional[Pose3]] +) -> GtsfmMetric: + """Compute global translation angular errors from aligned pose graphs. + + Args: + gt_wTi_list: List of N ground truth camera poses: + wTi_list: List of N aligned, estimated camera poses. + + Returns: + A GtsfmMetric for the N global translation angle errors, in degrees. + """ + if len(wTi_list) != len(gt_wTi_list): + N1 = len(wTi_list) + N2 = len(gt_wTi_list) + raise ValueError( + f"Lists of ground truth camera poses {N1} and estimated camera poses {N2} must have the same cardinality." + ) + + angles = [] + for wTi, wTi_gt in zip(wTi_list, gt_wTi_list): + if wTi is not None: + wUi_est = Unit3(wTi.translation()) + wUi_gt = Unit3(wTi_gt.translation()) + angle = comp_utils.compute_relative_unit_translation_angle(wUi_est, wUi_gt) + else: + angle = np.nan + angles.append(angle) return GtsfmMetric("translation_angle_error_deg", np.array(angles, dtype=np.float32)) +def compute_pose_auc_metric( + rotation_angular_errors: Sequence[float], + translation_angular_errors: Sequence[float], + thresholds_deg: Tuple[float] = (1, 2.5, 5, 10, 20), +) -> List[GtsfmMetric]: + """Computes "Pose AUC" metric from rotation & translation angular errors. + + Args: + rotation_angular_errors: N rotation angular errors, in degrees. + translation_angular_errors: N translation angular errors, in degrees. + + Returns: + One GtsfmMetric for each angular error threshold. + """ + if not isinstance(rotation_angular_errors, np.ndarray): + rotation_angular_errors = np.array(rotation_angular_errors) + + if not isinstance(translation_angular_errors, np.ndarray): + translation_angular_errors = np.array(translation_angular_errors) + + if len(rotation_angular_errors) != len(translation_angular_errors): + raise ValueError("# of rotation and translation angular errors must match.") + + pose_errors = np.maximum(rotation_angular_errors, translation_angular_errors) + aucs = pose_auc(pose_errors, thresholds_deg) + metrics = [] + for threshold, auc in zip(thresholds_deg, aucs): + metrics.append(GtsfmMetric(f"pose_auc_@{threshold}_deg", auc)) + return metrics + + def compute_ba_pose_metrics( gt_wTi_list: List[Pose3], ba_output: GtsfmData, @@ -279,7 +345,7 @@ def compute_ba_pose_metrics( Args: gt_wTi_list: List of ground truth poses. - ba_output: sparse multi-view result, as output of bundle adjustment. + ba_output: Sparse multi-view result, as output of bundle adjustment. Returns: A group of metrics that describe errors associated with a bundle adjustment result (w.r.t. GT). @@ -293,7 +359,13 @@ def compute_ba_pose_metrics( metrics = [] metrics.append(compute_rotation_angle_metric(wRi_aligned_list, gt_wRi_list)) metrics.append(compute_translation_distance_metric(wti_aligned_list, gt_wti_list)) - metrics.append(compute_translation_angle_metric(i2Ui1_dict_gt, wTi_aligned_list)) + metrics.append(compute_relative_translation_angle_metric(i2Ui1_dict_gt, wTi_aligned_list)) + metrics.append(compute_translation_angle_metric(gt_wTi_list, wTi_aligned_list)) + + rotation_angular_errors = metrics[0]._data + translation_angular_errors = metrics[3]._data + metrics.extend(compute_pose_auc_metric(rotation_angular_errors, translation_angular_errors)) + return GtsfmMetricsGroup(name="ba_pose_error_metrics", metrics=metrics) @@ -393,11 +465,11 @@ def compute_percentage_change(x: float, y: float) -> float: """Return percentage in representing the regression or improvement of a value x, for new value y. Args: - x: original value to compare against. - y: new value. + x: Original value to compare against. + y: New value. Returns: - percentage change (may be positive or negative). + Percentage change (may be positive or negative). """ return (y - x) / (x + EPSILON) * 100 @@ -428,3 +500,46 @@ def get_measurement_angle_errors( raise ValueError("Unexpected `None` when computing relative translation angle metric.") errors.append(error) return errors + + +def pose_auc(errors: np.ndarray, thresholds: Sequence[float], save_plot: bool = False) -> Sequence[float]: + """Computes area under the Recall (y) vs. Pose Error (x) curve, the pose AUC. + + If recall is defined as TP / # actual positives, then every camera is a TP if one can register it. + + Args: + errors: Array of shape (n,) representing angular errors. + thresholds: Angular error thresholds. + + Returns: + List of AUC values, one per threshold. + """ + errors = np.sort(errors) + # Determine recall points, from [0,1]. + # Prepend `0` value to each array. + recall = (np.arange(len(errors) + 1)) / len(errors) + errors = np.array([0.0, *errors.tolist()]) + aucs = [] + for t in thresholds: + # Find indices where elements should be inserted to maintain order. + last_index = np.searchsorted(errors, t) + r = np.r_[recall[:last_index], recall[last_index - 1]] + e = np.r_[errors[:last_index], t] + if save_plot: + plt.scatter(e, r, 20, color="k", marker=".") + plt.plot(e, r, color="r") + plt.ylabel("Recall") + plt.xlabel("Pose Error (deg.)") + uuid = datetime.datetime.utcnow().strftime("%Y_%m_%d_%H_%M_%S_%f") + save_fpath = f"{uuid}_recall_vs_pose_error_curve_auc.jpg" + plt.savefig(save_fpath) + plt.close("all") + + # Integrate along the given axis using the composite trapezoidal rule. + # As AUC = \int y(x) dx. + auc_nonunit = np.trapz(y=r, x=e) + # Divide by length of x-axis, as recall & precision usually would be [0,1], + # but here x-axis (error) extends up to threshold `t`. + auc_unit = auc_nonunit / t + aucs.append(auc_unit) + return aucs From d6ebb4752f59366a7a3967e43d8fd24cebd4896c Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 19:56:02 -0700 Subject: [PATCH 077/145] add test_mesh fn on T & T --- tests/loader/test_tanks_and_temples_loader.py | 17 ++++++++++++----- 1 file changed, 12 insertions(+), 5 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index c6fdfeaae..1570c0a88 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -26,11 +26,11 @@ def setUp(self) -> None: scene_name = "Barn" # 'Truck' # Uncomment lines below to run locally. - # _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') - # lidar_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}.ply' - # colmap_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}_COLMAP.ply' - lidar_ply_fpath = None - colmap_ply_fpath = None + _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') + lidar_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}.ply' + colmap_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}_COLMAP.ply' + # lidar_ply_fpath = None + # colmap_ply_fpath = None img_dir = _TEST_DATA_ROOT / scene_name poses_fpath = _TEST_DATA_ROOT / f"{scene_name}_COLMAP_SfM.log" @@ -143,6 +143,13 @@ def test_synthetic_correspondences_have_zero_two_view_error(self) -> None: # DIRECTION_ANGULAR_ERROR_DEG_THRESHOLD, # ) + def test_mesh(self) -> None: + mesh = self.loader.reconstruct_mesh() + num_sampled_3d_points = 20000 + pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) + #pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) + open3d.visualization.draw_geometries([pcd]) #[mesh], mesh_show_back_face=True) + def test_project_synthetic_correspondences_to_image(self) -> None: # Skip this test in the CI, and only uncomment it to run it locally, since it requires PLY. return From afd83e209c1380090b8c6dfb7d776219538232b3 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 19:58:02 -0700 Subject: [PATCH 078/145] update T & T test paths --- tests/loader/test_tanks_and_temples_loader.py | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 1570c0a88..7b73aef3e 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -26,11 +26,11 @@ def setUp(self) -> None: scene_name = "Barn" # 'Truck' # Uncomment lines below to run locally. - _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') - lidar_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}.ply' - colmap_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}_COLMAP.ply' - # lidar_ply_fpath = None - # colmap_ply_fpath = None + # _TEST_DATA_ROOT = Path('/Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410') + # lidar_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}.ply' + # colmap_ply_fpath = _TEST_DATA_ROOT / f'{scene_name}_COLMAP.ply' + lidar_ply_fpath = None + colmap_ply_fpath = None img_dir = _TEST_DATA_ROOT / scene_name poses_fpath = _TEST_DATA_ROOT / f"{scene_name}_COLMAP_SfM.log" @@ -144,6 +144,8 @@ def test_synthetic_correspondences_have_zero_two_view_error(self) -> None: # ) def test_mesh(self) -> None: + # Skip this test in the CI, and only uncomment it to run it locally, since it requires PLY. + return mesh = self.loader.reconstruct_mesh() num_sampled_3d_points = 20000 pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) @@ -177,6 +179,7 @@ def test_project_synthetic_correspondences_to_image(self) -> None: def visualize_overlapping_point_clouds(self) -> None: """Visualize overlaid LiDAR and COLMAP point clouds.""" + # Skip this test in the CI, and only uncomment it to run it locally, since it opens a GUI. return wTi_list = [self.loader.get_camera_pose(index) for index in range(len(self.loader))] calibrations = [self.loader.get_camera_intrinsics_full_res(index) for index in range(len(self.loader))] From 8fd61c18347a40c83fe1080692d0f2fc8febbd0d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 20:27:59 -0700 Subject: [PATCH 079/145] flake8 fix --- tests/loader/test_tanks_and_temples_loader.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index 7b73aef3e..d732cbaf6 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -149,8 +149,8 @@ def test_mesh(self) -> None: mesh = self.loader.reconstruct_mesh() num_sampled_3d_points = 20000 pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) - #pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) - open3d.visualization.draw_geometries([pcd]) #[mesh], mesh_show_back_face=True) + # pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) + open3d.visualization.draw_geometries([pcd]) # [mesh], mesh_show_back_face=True) def test_project_synthetic_correspondences_to_image(self) -> None: # Skip this test in the CI, and only uncomment it to run it locally, since it requires PLY. From 9b0be989c477c2d661a8bd0037252bc3c1a9a2f7 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 20:31:58 -0700 Subject: [PATCH 080/145] transition away from deprecated micromamba command --- .github/workflows/benchmark.yml | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index 3fc258174..05172c396 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -42,12 +42,11 @@ jobs: with: path: cache key: ${{ matrix.config_dataset_info[0] }}-${{ matrix.config_dataset_info[1] }}-${{ matrix.config_dataset_info[2] }}-${{ matrix.config_dataset_info[6] }}-${{ env.CACHE_NUMBER_FRONTEND }} - - uses: mamba-org/provision-with-micromamba@main + - uses: mamba-org/setup-micromamba@v1 with: - mamba-version: "*" + micromamba-version: '1.3.1-0' activate-environment: gtsfm-v1 environment-file: environment_linux_cpuonly.yml - python-version: 3.8 - name: Environment setup run: | bash .github/scripts/setup.sh From 59bf16ba0f7153660bc5ca8aa1d4a59638997360 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 22:29:02 -0700 Subject: [PATCH 081/145] add image_filenames() method --- gtsfm/loader/tanks_and_temples_loader.py | 4 ++++ tests/loader/test_tanks_and_temples_loader.py | 7 +++++++ 2 files changed, 11 insertions(+) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index b9c58a590..987678f53 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -117,6 +117,10 @@ def __len__(self) -> int: """ return self._num_imgs + def image_filenames(self) -> List[str]: + """Return the file names corresponding to each image index.""" + return [Path(fpath).name for fpath in self._image_paths] + def get_image_fpath(self, index: int = 0) -> Path: """ """ return self._image_paths[index] diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index d732cbaf6..714992ef8 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -76,6 +76,13 @@ def test_get_camera_pose(self) -> None: expected_wti = np.array([3.24711, 0.140327, 0.557239]) assert np.allclose(wTi.translation(), expected_wti) + def test_image_filenames(self) -> None: + """Verify that image file names are provided correctly (used in NetVLAD).""" + filenames = self.loader.image_filenames() + + expected_filenames = ['000001.jpg', '000002.jpg', '000003.jpg'] + assert filenames == expected_filenames + def test_get_image_fpath(self) -> None: """Tests that index 0 maps to image '0000001.jpg', which is the zero'th image in the Barn dataset.""" fpath = self.loader.get_image_fpath(index=0) From 44f02f77bf275c2b132c36f371837f1c1a158dac Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 21 Jul 2023 22:29:29 -0700 Subject: [PATCH 082/145] remove activate-environment arg to setup-micromamba --- .github/workflows/benchmark.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index 05172c396..26016a2ed 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -45,7 +45,6 @@ jobs: - uses: mamba-org/setup-micromamba@v1 with: micromamba-version: '1.3.1-0' - activate-environment: gtsfm-v1 environment-file: environment_linux_cpuonly.yml - name: Environment setup run: | From 6b5dc0eed41342fe41614ac7a02acd43782d4374 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 22 Jul 2023 00:30:06 -0700 Subject: [PATCH 083/145] fewer retrieval pairs and no_grad for netvald --- gtsfm/configs/synthetic_front_end.yaml | 2 +- .../global_descriptor/netvlad_global_descriptor.py | 9 +++++---- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index b52e5375f..4302ec7c3 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -18,7 +18,7 @@ SceneOptimizer: retriever: _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever - num_matched: 20 + num_matched: 2 min_score: 0.2 max_frame_lookahead: 4 diff --git a/gtsfm/frontend/global_descriptor/netvlad_global_descriptor.py b/gtsfm/frontend/global_descriptor/netvlad_global_descriptor.py index 104981b1f..01fa3ca3d 100644 --- a/gtsfm/frontend/global_descriptor/netvlad_global_descriptor.py +++ b/gtsfm/frontend/global_descriptor/netvlad_global_descriptor.py @@ -41,9 +41,10 @@ def describe(self, image: Image) -> np.ndarray: device = torch.device("cuda" if self._use_cuda and torch.cuda.is_available() else "cpu") self._model.to(device) - img_tensor = ( - torch.from_numpy(image.value_array).permute(2, 0, 1).unsqueeze(0).type(torch.float32).to(device) / 255 - ) - img_desc = self._model({"image": img_tensor}) + with torch.no_grad(): + img_tensor = ( + torch.from_numpy(image.value_array).permute(2, 0, 1).unsqueeze(0).type(torch.float32).to(device) / 255 + ) + img_desc = self._model({"image": img_tensor}) return img_desc["global_descriptor"].detach().squeeze().cpu().numpy() From 92fc731e4d55a0995f85c1eb3f5139936ad52662 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 22 Jul 2023 00:30:18 -0700 Subject: [PATCH 084/145] fix typo --- gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py index 52e42dfb7..8cba89f01 100644 --- a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py +++ b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py @@ -1,4 +1,4 @@ -"""Runs GTSfM on a Tanks and Temple dataset, using synthetic correspondences. +"""Runs GTSfM on a Tanks and Temples dataset, using synthetic correspondences. Author: John Lambert """ From 614f6829a86c9cc954ff5346f16b5f7215cf8940 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 22 Jul 2023 09:20:19 -0700 Subject: [PATCH 085/145] lookahead 3 --- gtsfm/configs/synthetic_front_end.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 4302ec7c3..63ecbeb37 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -20,7 +20,7 @@ SceneOptimizer: _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever num_matched: 2 min_score: 0.2 - max_frame_lookahead: 4 + max_frame_lookahead: 3 correspondence_generator: From aa9618c1652039247f062229abc53824b22baf4f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 18:07:20 -0700 Subject: [PATCH 086/145] use logging instead of print --- gtsfm/utils/graph.py | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/gtsfm/utils/graph.py b/gtsfm/utils/graph.py index f62ddf98b..c58c626fd 100644 --- a/gtsfm/utils/graph.py +++ b/gtsfm/utils/graph.py @@ -2,6 +2,7 @@ Authors: Ayush Baid, John Lambert, Akshay Krishnan """ +import logging from collections import defaultdict from typing import DefaultDict, Dict, List, Optional, Set, Tuple @@ -13,6 +14,8 @@ from gtsfm.common.pose_prior import PosePrior from gtsfm.common.two_view_estimation_report import TwoViewEstimationReport +logger = logging.getLogger(__name__) + GREEN = [0, 1, 0] RED = [1, 0, 0] @@ -34,7 +37,7 @@ def get_nodes_in_largest_connected_component(edges: List[Tuple[int, int]]) -> Li # Log the sizes of the connected components. cc_sizes = [len(x) for x in sorted(list(nx.connected_components(input_graph)))] - print("Connected component sizes: ", cc_sizes, " nodes.") + logger.info("Connected component sizes: %d nodes.", cc_sizes) # Get the largest connected component. largest_cc_nodes = max(nx.connected_components(input_graph), key=len) @@ -87,10 +90,10 @@ def create_adjacency_list(edges: List[Tuple[int, int]]) -> DefaultDict[int, Set[ vertices in the graph, which may be significantly higher than the degree. Args: - edges: indices of edges in the graph as a list of tuples. + edges: Indices of edges in the graph as a list of tuples. Returns: - adj_list: adjacency list representation of the graph, mapping an image index to its neighbors + adj_list: Adjacency list representation of the graph, mapping an image index to its neighbors """ adj_list = defaultdict(set) @@ -113,7 +116,7 @@ def extract_cyclic_triplets_from_edges(edges: List[Tuple[int, int]]) -> List[Tup connected to `a` and the nodes connected to `b`. Args: - edges: indices of edges in the graph as a list of tuples. + edges: Indices of edges in the graph as a list of tuples. Returns: triplets: 3-tuples of nodes that form a cycle. Nodes of each triplet are provided in sorted order. @@ -154,10 +157,10 @@ def draw_view_graph_topology( Args: edges: List of (i1,i2) pairs. - two_view_reports: two-view estimation report per edge. - title: desired title of figure. - save_fpath: file path where plot should be saved to disk. - cameras_gt: ground truth camera parameters (including their poses). + two_view_reports: Two-view estimation report per edge. + title: Desired title of figure. + save_fpath: File path where plot should be saved to disk. + cameras_gt: Ground truth camera parameters (including their poses). """ M = len(edges) From 09bc83ab1388eeee528e27e2acc4fff14a72b36f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 18:09:19 -0700 Subject: [PATCH 087/145] run tanks and temples on self hosted --- .../execute_single_benchmark_self_hosted.sh | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/.github/scripts/execute_single_benchmark_self_hosted.sh b/.github/scripts/execute_single_benchmark_self_hosted.sh index 3ef9a4316..d82c73c31 100755 --- a/.github/scripts/execute_single_benchmark_self_hosted.sh +++ b/.github/scripts/execute_single_benchmark_self_hosted.sh @@ -23,14 +23,15 @@ elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then fi ## Download the Tanks & Temples dataset. ################ -# WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip -# ZIP_FNAME=Tanks_and_Temples_Barn_410.zip -# echo "Downloading ${ZIP_FNAME} with WGET" -# wget -O $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip $WGET_URL1 -# unzip -qq $DATASET_PREFIX/$ZIP_FNAME -d $DATASET_PREFIX -# pwd $DATASET_PREFIX -# ls -ltrh $DATASET_PREFIX -# ls -ltrh $DATASET_PREFIX/$DATASET_ROOT +WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip +ZIP_FNAME=Tanks_and_Temples_Barn_410.zip +echo "Downloading ${ZIP_FNAME} with WGET" +wget -O $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip $WGET_URL1 +unzip -qq $DATASET_PREFIX/$ZIP_FNAME -d $DATASET_PREFIX +pwd $DATASET_PREFIX +ls -ltrh $DATASET_PREFIX +ls -ltrh $DATASET_PREFIX/$DATASET_ROOT +rm $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip ######################################### From 7254c29fbbe92eaff34b8cf1019e542263b5cc6a Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 18:10:28 -0700 Subject: [PATCH 088/145] run T&T on eagle --- .github/workflows/benchmark-self-hosted.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/benchmark-self-hosted.yml b/.github/workflows/benchmark-self-hosted.yml index 993d4cbdf..90fe32059 100644 --- a/.github/workflows/benchmark-self-hosted.yml +++ b/.github/workflows/benchmark-self-hosted.yml @@ -8,7 +8,7 @@ name: Benchmark GTSFM on select datasets using our self-hosted instances # one machine. ################################################################################ -on: [workflow_dispatch] +on: [workflow_dispatch, pull_request] jobs: benchmark: name: Benchmark @@ -20,7 +20,7 @@ jobs: config_dataset_info: [ # config dataset lookahead img-extension source loader max-res share-intrinsics #[skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], - # [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], + [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], ] defaults: run: From 39504feea3b4c971efdc81401e758da5533bf020 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 18:41:03 -0700 Subject: [PATCH 089/145] remove rotation quaternion logging --- gtsfm/averaging/rotation/shonan.py | 18 +++--------------- 1 file changed, 3 insertions(+), 15 deletions(-) diff --git a/gtsfm/averaging/rotation/shonan.py b/gtsfm/averaging/rotation/shonan.py index 1e4347dec..a6025b8f2 100644 --- a/gtsfm/averaging/rotation/shonan.py +++ b/gtsfm/averaging/rotation/shonan.py @@ -32,11 +32,13 @@ logger = logger_utils.get_logger() +_DEFAULT_TWO_VIEW_ROTATION_SIGMA = 1.0 + class ShonanRotationAveraging(RotationAveragingBase): """Performs Shonan rotation averaging.""" - def __init__(self, two_view_rotation_sigma: float = 1.0) -> None: + def __init__(self, two_view_rotation_sigma: float = _DEFAULT_TWO_VIEW_ROTATION_SIGMA) -> None: """Initializes module. Note: `p_min` and `p_max` describe the minimum and maximum relaxation rank. @@ -173,20 +175,6 @@ def run_rotation_averaging( underconstrained system or ill-constrained system), or where the camera pose had no valid observation in the input to run_rotation_averaging(). """ - i2Ri1_quaternion_list = [] - for (i1, i2), i2Ri1 in i2Ri1_dict.items(): - i2Ri1_quaternion = i2Ri1.toQuaternion() - qw, qx, qy, qz = i2Ri1_quaternion.w(), i2Ri1_quaternion.x(), i2Ri1_quaternion.y(), i2Ri1_quaternion.z() - i2Ri1_quaternion_list.append( - {"i1": int(i1), "i2": int(i2), "quaternion": {"qw": qw, "qx": qx, "qy": qy, "qz": qz}} - ) - - serialization_data = {"i2Ri1": i2Ri1_quaternion_list} - import gtsfm.utils.io as io_utils - - json_fpath = "result_metrics/shonan_input.json" - io_utils.save_json_file(json_fpath, data=serialization_data) - if len(i2Ri1_dict) == 0: logger.warning("Shonan cannot proceed: No cycle-consistent triplets found after filtering.") wRi_list = [None] * num_images From ee861ecb1a7019e84361bbc0becde23631a46aa8 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 18:41:32 -0700 Subject: [PATCH 090/145] tune shonan sigma to 0.01 --- gtsfm/configs/deep_front_end.yaml | 2 ++ gtsfm/configs/deep_front_end_astrovision.yaml | 2 ++ gtsfm/configs/sift_front_end_astrovision.yaml | 2 ++ 3 files changed, 6 insertions(+) diff --git a/gtsfm/configs/deep_front_end.yaml b/gtsfm/configs/deep_front_end.yaml index 8e9168919..21f83e9e7 100644 --- a/gtsfm/configs/deep_front_end.yaml +++ b/gtsfm/configs/deep_front_end.yaml @@ -61,6 +61,8 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging + # Use a very low value. + two_view_rotation_sigma: 0.01 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/deep_front_end_astrovision.yaml b/gtsfm/configs/deep_front_end_astrovision.yaml index ddaeb3d8e..a9c4e8c13 100644 --- a/gtsfm/configs/deep_front_end_astrovision.yaml +++ b/gtsfm/configs/deep_front_end_astrovision.yaml @@ -59,6 +59,8 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging + # Use a very low value. + two_view_rotation_sigma: 0.01 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/sift_front_end_astrovision.yaml b/gtsfm/configs/sift_front_end_astrovision.yaml index a70c7bbd7..0c3a39e1d 100644 --- a/gtsfm/configs/sift_front_end_astrovision.yaml +++ b/gtsfm/configs/sift_front_end_astrovision.yaml @@ -57,6 +57,8 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging + # Use a very low value. + two_view_rotation_sigma: 0.01 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM From 9d7596d266e29ccee25208bb28d810d17b8363b7 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 18:47:47 -0700 Subject: [PATCH 091/145] decrease uncertainty on poses to 0.01 --- .github/workflows/benchmark-self-hosted.yml | 2 +- gtsfm/bundle/bundle_adjustment.py | 6 +++--- gtsfm/configs/synthetic_front_end.yaml | 2 +- 3 files changed, 5 insertions(+), 5 deletions(-) diff --git a/.github/workflows/benchmark-self-hosted.yml b/.github/workflows/benchmark-self-hosted.yml index 90fe32059..8b05090d6 100644 --- a/.github/workflows/benchmark-self-hosted.yml +++ b/.github/workflows/benchmark-self-hosted.yml @@ -8,7 +8,7 @@ name: Benchmark GTSFM on select datasets using our self-hosted instances # one machine. ################################################################################ -on: [workflow_dispatch, pull_request] +on: [workflow_dispatch] jobs: benchmark: name: Benchmark diff --git a/gtsfm/bundle/bundle_adjustment.py b/gtsfm/bundle/bundle_adjustment.py index 9313ab024..aec913e89 100644 --- a/gtsfm/bundle/bundle_adjustment.py +++ b/gtsfm/bundle/bundle_adjustment.py @@ -437,10 +437,10 @@ def values_to_gtsfm_data(values: Values, initial_data: GtsfmData, shared_calib: """Cast results from the optimization to GtsfmData object. Args: - values: results of factor graph optimization. - initial_data: data used to generate the factor graph; used to extract information about poses and 3d points in + values: Results of factor graph optimization. + initial_data: Data used to generate the factor graph; used to extract information about poses and 3d points in the graph. - shared_calib: flag indicating if calibrations were shared between the cameras. + shared_calib: Flag indicating if calibrations were shared between the cameras. Returns: optimized poses and landmarks. diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 63ecbeb37..6c8d7c210 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -88,7 +88,7 @@ SceneOptimizer: reproj_error_thresholds: [10, 5, 3] # for (multistage) post-optimization filtering robust_measurement_noise: True shared_calib: False - cam_pose3_prior_noise_sigma: 0.1 + cam_pose3_prior_noise_sigma: 0.01 calibration_prior_noise_sigma: 1e-5 measurement_noise_sigma: 1.0 From c3fab34b5498de9f7a7b9925ec32ab681d81fff3 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 21:55:37 -0700 Subject: [PATCH 092/145] use logger_utils instead of getLogger() since unregistered --- gtsfm/utils/graph.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/gtsfm/utils/graph.py b/gtsfm/utils/graph.py index c58c626fd..3ae8e01c7 100644 --- a/gtsfm/utils/graph.py +++ b/gtsfm/utils/graph.py @@ -2,7 +2,6 @@ Authors: Ayush Baid, John Lambert, Akshay Krishnan """ -import logging from collections import defaultdict from typing import DefaultDict, Dict, List, Optional, Set, Tuple @@ -11,10 +10,11 @@ import numpy as np from gtsam import PinholeCameraCal3Bundler, Rot3, Unit3 +import gtsfm.utils.logger as logger_utils from gtsfm.common.pose_prior import PosePrior from gtsfm.common.two_view_estimation_report import TwoViewEstimationReport -logger = logging.getLogger(__name__) +logger = logger_utils.get_logger() GREEN = [0, 1, 0] RED = [1, 0, 0] From 8d6cf883ab7a07aff88e81af9658097f5c56204b Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 24 Jul 2023 22:44:55 -0700 Subject: [PATCH 093/145] fix logger formatting --- gtsfm/utils/graph.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/utils/graph.py b/gtsfm/utils/graph.py index 3ae8e01c7..bb7c890e1 100644 --- a/gtsfm/utils/graph.py +++ b/gtsfm/utils/graph.py @@ -37,7 +37,7 @@ def get_nodes_in_largest_connected_component(edges: List[Tuple[int, int]]) -> Li # Log the sizes of the connected components. cc_sizes = [len(x) for x in sorted(list(nx.connected_components(input_graph)))] - logger.info("Connected component sizes: %d nodes.", cc_sizes) + logger.info("Connected component sizes: %s nodes.", str(cc_sizes)) # Get the largest connected component. largest_cc_nodes = max(nx.connected_components(input_graph), key=len) From 640ad75ef3c1d36f40e74a295319d4670af84e70 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 25 Jul 2023 08:40:02 -0700 Subject: [PATCH 094/145] shonan sigma 0.1 --- gtsfm/configs/deep_front_end.yaml | 2 +- gtsfm/configs/deep_front_end_astrovision.yaml | 2 +- gtsfm/configs/sift_front_end.yaml | 2 ++ gtsfm/configs/synthetic_front_end.yaml | 2 +- 4 files changed, 5 insertions(+), 3 deletions(-) diff --git a/gtsfm/configs/deep_front_end.yaml b/gtsfm/configs/deep_front_end.yaml index 21f83e9e7..797c8d869 100644 --- a/gtsfm/configs/deep_front_end.yaml +++ b/gtsfm/configs/deep_front_end.yaml @@ -62,7 +62,7 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging # Use a very low value. - two_view_rotation_sigma: 0.01 + two_view_rotation_sigma: 0.1 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/deep_front_end_astrovision.yaml b/gtsfm/configs/deep_front_end_astrovision.yaml index a9c4e8c13..a5f3cc02a 100644 --- a/gtsfm/configs/deep_front_end_astrovision.yaml +++ b/gtsfm/configs/deep_front_end_astrovision.yaml @@ -60,7 +60,7 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging # Use a very low value. - two_view_rotation_sigma: 0.01 + two_view_rotation_sigma: 0.1 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/sift_front_end.yaml b/gtsfm/configs/sift_front_end.yaml index 037d7725e..53bc8618e 100644 --- a/gtsfm/configs/sift_front_end.yaml +++ b/gtsfm/configs/sift_front_end.yaml @@ -61,6 +61,8 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging + # Use a very low value. + two_view_rotation_sigma: 0.1 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 6c8d7c210..81ac959fe 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -64,7 +64,7 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging # Use a very low value. - two_view_rotation_sigma: 0.01 + two_view_rotation_sigma: 0.1 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM From 6021108a3ff4731e9ec2871d02f35c1e297a6d85 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Thu, 27 Jul 2023 21:11:56 -0700 Subject: [PATCH 095/145] Sample random 3d points. This sampling must occur only once, to avoid clusters from repeated sampling. --- .../synthetic_correspondence_generator.py | 8 ++++++ gtsfm/loader/tanks_and_temples_loader.py | 28 +++++++++++-------- gtsfm/utils/io.py | 18 ++++++------ 3 files changed, 34 insertions(+), 20 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index f4998baf0..c5c34ce24 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -44,6 +44,7 @@ def generate_correspondences( client: Client, images: List[Future], image_pairs: List[Tuple[int, int]], + num_sampled_3d_points: int = 500, ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: """Apply the correspondence generator to generate putative correspondences. @@ -75,6 +76,12 @@ def generate_correspondences( ) mesh = loader.reconstruct_mesh() + + # Sample random 3d points. This sampling must occur only once, to avoid clusters from repeated sampling. + pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) + pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) + sampled_points = np.asarray(pcd.points) + # TODO(jolambert): File Open3d bug to add pickle support for TriangleMesh. open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) @@ -96,6 +103,7 @@ def apply_synthetic_corr_generator( loader.get_camera(index=i1), loader.get_camera(index=i2), open3d_mesh_path, + sampled_points, ) for i1, i2 in image_pairs } diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 987678f53..c4b7f32d8 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -205,7 +205,7 @@ def get_lidar_point_cloud(self, downsample_factor: int = 10) -> open3d.geometry. Move all LiDAR points to the COLMAP frame. """ if not Path(self.lidar_ply_fpath).exists(): - raise ValueError('') + raise ValueError("") pcd = open3d.io.read_point_cloud(self.lidar_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) points = points[::downsample_factor] @@ -221,7 +221,7 @@ def get_lidar_point_cloud(self, downsample_factor: int = 10) -> open3d.geometry. def get_colmap_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry.PointCloud: """Returns COLMAP-reconstructed point cloud.""" if not Path(self.colmap_ply_fpath).exists(): - raise ValueError('') + raise ValueError("") pcd = open3d.io.read_point_cloud(self.colmap_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) points = points[::downsample_factor] @@ -276,7 +276,11 @@ def reconstruct_mesh( return mesh def generate_synthetic_correspondences( - self, images: List[Future], image_pairs: List[Tuple[int, int]], deduplicate: bool = False + self, + images: List[Future], + image_pairs: List[Tuple[int, int]], + deduplicate: bool = False, + num_sampled_3d_points: int = 2000, ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. @@ -284,6 +288,7 @@ def generate_synthetic_correspondences( images: image_pairs: Tuples (i1,i2) indicating image indices to use as image pairs. deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. + num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. Returns: List of keypoints, one entry for each input image. @@ -292,6 +297,12 @@ def generate_synthetic_correspondences( are represented by an array of shape (K,2), for K correspondences. """ mesh = self.reconstruct_mesh() + + # Sample random 3d points. This sampling must occur only once, to avoid clusters from repeated sampling. + pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) + pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) + points = np.asarray(pcd.points) + open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) @@ -307,7 +318,7 @@ def generate_synthetic_correspondences( if i2 not in camera_dict: camera_dict[i2] = self.get_camera(index=i2) keypoints_i1, keypoints_i2 = self.generate_synthetic_correspondences_for_image_pair( - camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], open3d_mesh_fpath=open3d_mesh_path + camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], open3d_mesh_fpath=open3d_mesh_path, points=points ) num_kpts = len(keypoints_i1) putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) @@ -328,7 +339,7 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, open3d_mesh_fpath: str, - num_sampled_3d_points: int = 200, + points: np.ndarray, ) -> Tuple[Keypoints, Keypoints]: """Generates synthetic correspondences for image pair. @@ -336,7 +347,7 @@ def generate_synthetic_correspondences_for_image_pair( camera_i1: First camera. camera_i2: Second camera. open3d_mesh_fpath: Path to saved Open3d mesh. - num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. + points: 3d points sampled from mesh surface. Returns: Tuple of `Keypoints` objects, one for each image in the input image pair. @@ -344,11 +355,6 @@ def generate_synthetic_correspondences_for_image_pair( mesh = open3d.io.read_triangle_mesh(filename=open3d_mesh_fpath) trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) - # Sample random 3d points. - pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) - pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) - points = np.asarray(pcd.points) - wTi_list = [camera_i1.pose(), camera_i2.pose()] calibrations = [camera_i1.calibration(), camera_i2.calibration()] diff --git a/gtsfm/utils/io.py b/gtsfm/utils/io.py index 53cb737de..64f703ad1 100644 --- a/gtsfm/utils/io.py +++ b/gtsfm/utils/io.py @@ -317,11 +317,11 @@ def read_images_txt(fpath: str) -> Tuple[Optional[List[Pose3]], Optional[List[st to the bottom, and the Z axis to the front as seen from the image." Args: - fpath: path to images.txt file + fpath: Path to images.txt file Returns: - wTi_list: list of camera poses for each image, or None if file path invalid - img_fnames: name of image file, for each image, or None if file path invalid + wTi_list: List of camera poses for each image, or None if file path invalid + img_fnames: Name of image file, for each image, or None if file path invalid """ if not Path(fpath).exists(): logger.info("%s does not exist", fpath) @@ -550,9 +550,9 @@ def save_point_cloud_as_ply(save_fpath: str, points: np.ndarray, rgb: Optional[n """Save a point cloud as a .ply file. Args: - save_fpath: absolute file path where PLY file should be saved. - points: float array of shape (N,3) representing a 3d point cloud. - rgb: uint8 array of shape (N,3) representing an RGB color per point. + save_fpath: Absolute file path where PLY file should be saved. + points: Float array of shape (N,3) representing a 3d point cloud. + rgb: Uint8 array of shape (N,3) representing an RGB color per point. """ if rgb is None: # If no colors are provided, then color all points uniformly as black. @@ -568,11 +568,11 @@ def read_point_cloud_from_ply(ply_fpath: str) -> Tuple[np.ndarray, np.ndarray]: """Read a point cloud from a .ply file. Args: - ply_fpath: absolute file path where PLY file is located on disk. + ply_fpath: Absolute file path where PLY file is located on disk. Returns: - points: float array of shape (N,3) representing a 3d point cloud. - rgb: uint8 array of shape (N,3) representing an RGB color per point. + points: Float array of shape (N,3) representing a 3d point cloud. + rgb: Uint8 array of shape (N,3) representing an RGB color per point. """ pointcloud = open3d.io.read_point_cloud(ply_fpath) return open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud) From 5778d1f651186ffe714173cce78ee7a314a3baef Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Thu, 27 Jul 2023 21:58:50 -0700 Subject: [PATCH 096/145] fix typo --- gtsfm/loader/tanks_and_temples_loader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index c4b7f32d8..bb8c989e1 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -377,7 +377,7 @@ def generate_synthetic_correspondences_for_image_pair( keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) - print(f"Generated {len(keypoints_i1)} keypoints from sampled {num_sampled_3d_points} 3d points.") + print(f"Generated {len(keypoints_i1)} keypoints from sampled {points.shape[0]} 3d points.") return keypoints_i1, keypoints_i2 From 55299141de64aead6d3c6a57bbb7d5937936193d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 28 Jul 2023 01:25:25 -0700 Subject: [PATCH 097/145] fix typo --- .github/scripts/download_single_benchmark.sh | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index 02ae708cf..f1663f6ab 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -62,17 +62,15 @@ function download_and_unzip_dataset_files { WGET_URL1=https://www.dropbox.com/s/q02mgq1unbw068t/2011205_rc3.zip WGET_URL2=https://github.com/johnwlambert/gtsfm-cache/releases/download/2011205_rc3_deep_front_end_cache/cache_rc3_deep.tar.gz ZIP_FNAME=2011205_rc3.zip -<<<<<<< HEAD - elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then - # Tanks and Temples Dataset, "Barn" scene. - WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip - ZIP_FNAME=Tanks_and_Temples_Barn_410.zip -======= elif [ "$DATASET_NAME" == "gerrard-hall-100" ]; then WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/gerrard-hall-100/gerrard-hall-100.zip ZIP_FNAME=gerrard-hall-100.zip ->>>>>>> 11748048e369f09a3ae131477569c674d2f985e6 + + elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then + # Tanks and Temples Dataset, "Barn" scene. + WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip + ZIP_FNAME=Tanks_and_Temples_Barn_410.zip fi # Download the data. From a60732d75e5c43c9d2c6dba1a4372ea0b90f0734 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Thu, 3 Aug 2023 22:10:25 -0400 Subject: [PATCH 098/145] use isinstance() instead of type() --- gtsfm/ui/process_graph_generator.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/gtsfm/ui/process_graph_generator.py b/gtsfm/ui/process_graph_generator.py index 7156b61ef..56d3870b2 100644 --- a/gtsfm/ui/process_graph_generator.py +++ b/gtsfm/ui/process_graph_generator.py @@ -123,12 +123,12 @@ def _add_nodes_to_graph(self, metadata: UiMetadata) -> None: # autocast strings to one-element tuples output_products = metadata.output_products - if type(output_products) == str: + if isinstance(output_products, str): output_products = (output_products,) # autocast strings to one-element tuples input_products = metadata.input_products - if type(input_products) == str: + if isinstance(input_products, str): input_products = (input_products,) cluster = self._main_graph From 38971bdd205299c5b9c34f821a051c50577d0919 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 00:58:03 -0400 Subject: [PATCH 099/145] Style fixes --- gtsfm/bundle/bundle_adjustment.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/gtsfm/bundle/bundle_adjustment.py b/gtsfm/bundle/bundle_adjustment.py index aec913e89..c4e7bb866 100644 --- a/gtsfm/bundle/bundle_adjustment.py +++ b/gtsfm/bundle/bundle_adjustment.py @@ -295,9 +295,9 @@ def run_ba( """Run the bundle adjustment by forming factor graph and optimizing using Levenberg–Marquardt optimization. Args: - initial_data: initialized cameras, tracks w/ their 3d landmark from triangulation. - absolute_pose_priors: priors to be used on cameras. - relative_pose_priors: priors on the pose between two cameras. + initial_data: Initialized cameras, tracks w/ their 3d landmark from triangulation. + absolute_pose_priors: Priors to be used on cameras. + relative_pose_priors: Priors on the pose between two cameras. verbose: Boolean flag to print out additional info for debugging. Results: @@ -366,9 +366,9 @@ def evaluate( ) -> GtsfmMetricsGroup: """ Args: - unfiltered_data: optimized BA result, before filtering landmarks by reprojection error. - filtered_data: optimized BA result, after filtering landmarks and cameras. - cameras_gt: cameras with GT intrinsics and GT extrinsics. + unfiltered_data: Optimized BA result, before filtering landmarks by reprojection error. + filtered_data: Optimized BA result, after filtering landmarks and cameras. + cameras_gt: Cameras with GT intrinsics and GT extrinsics. Returns: Metrics group containing metrics for both filtered and unfiltered BA results. @@ -443,7 +443,7 @@ def values_to_gtsfm_data(values: Values, initial_data: GtsfmData, shared_calib: shared_calib: Flag indicating if calibrations were shared between the cameras. Returns: - optimized poses and landmarks. + Optimized poses and landmarks. """ result = GtsfmData(initial_data.number_images()) From f781d325a9104658da921172a797399b87a36a09 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 00:58:40 -0400 Subject: [PATCH 100/145] astrovision account for 2 new return args, and style fixes --- gtsfm/loader/astrovision_loader.py | 41 +++++++++++++++--------------- 1 file changed, 20 insertions(+), 21 deletions(-) diff --git a/gtsfm/loader/astrovision_loader.py b/gtsfm/loader/astrovision_loader.py index c288aefac..d784e1b7d 100644 --- a/gtsfm/loader/astrovision_loader.py +++ b/gtsfm/loader/astrovision_loader.py @@ -48,20 +48,19 @@ def __init__( ├── images.bin: 3D poses and 2D tracks (see https://colmap.github.io/format.html#images-txt) └── points3D.bin: 3D tracks (see https://colmap.github.io/format.html#points3d-txt) - Args: - data_dir: path to directory containing the COLMAP-formatted data: cameras.bin, images.bin, and points3D.bin - gt_scene_mesh_path (optional): path to file of target small body surface mesh. + data_dir: Path to directory containing the COLMAP-formatted data: cameras.bin, images.bin, and points3D.bin + gt_scene_mesh_path (optional): Path to file of target small body surface mesh. Note: vertex size mismath observed when reading in from OBJ format. Prefer PLY. - use_gt_extrinsics (optional): whether to use ground truth extrinsics. Used only for comparison with + use_gt_extrinsics (optional): Whether to use ground truth extrinsics. Used only for comparison with reconstructed values. - use_gt_sfmtracks (optional): whether to use ground truth tracks. Used only for comparison with reconstructed + use_gt_sfmtracks (optional): Whether to use ground truth tracks. Used only for comparison with reconstructed values. - use_masks (optional): whether to use ground truth masks. - max_frame_lookahead (optional): maximum number of consecutive frames to consider for + use_masks (optional): Whether to use ground truth masks. + max_frame_lookahead (optional): Maximum number of consecutive frames to consider for matching/co-visibility. Any value of max_frame_lookahead less than the size of the dataset assumes data is sequentially captured. - max_resolution: integer representing maximum length of image's short side, i.e. + max_resolution: Integer representing maximum length of image's short side, i.e. the smaller of the height/width of the image. e.g. for 1080p (1920 x 1080), max_resolution would be 1080. If the image resolution max(height, width) is greater than the max_resolution, it will be downsampled to match the max_resolution. @@ -79,7 +78,7 @@ def __init__( if not Path(data_dir).exists(): raise FileNotFoundError("No data found at %s." % data_dir) cameras, images, points3d = colmap_io.read_model(path=data_dir, ext=".bin") - img_fnames, self._wTi_list, self._calibrations, self._sfmtracks = io_utils.colmap2gtsfm( + img_fnames, self._wTi_list, self._calibrations, self._sfmtracks, _, _ = io_utils.colmap2gtsfm( cameras, images, points3d, load_sfmtracks=use_gt_sfmtracks ) @@ -138,13 +137,13 @@ def get_image_full_res(self, index: int) -> Image: """Get the image at the given index, at full resolution. Args: - index: the index to fetch. + index: The index to fetch. Raises: - IndexError: if an out-of-bounds image index is requested. + IndexError: If an out-of-bounds image index is requested. Returns: - Image: the image at the query index. + Image: The image at the query index. """ if index < 0 or index >= len(self): raise IndexError(f"Image index {index} is invalid") @@ -166,10 +165,10 @@ def get_camera_intrinsics_full_res(self, index: int) -> Cal3Bundler: """Get the camera intrinsics at the given index, valid for a full-resolution image. Args: - the index to fetch. + index: The index to fetch. Returns: - intrinsics for the given camera. + Intrinsics for the given camera. """ if index < 0 or index >= len(self): raise IndexError(f"Image index {index} is invalid") @@ -200,7 +199,7 @@ def get_sfmtrack(self, index: int) -> Optional[SfmTrack]: """Get the SfmTracks(s) (in world coordinates) at the given index. Args: - index: the index to fetch. + index: The index to fetch. Returns: SfmTrack at index. @@ -218,11 +217,11 @@ def is_valid_pair(self, idx1: int, idx2: int) -> bool: """Checks if (idx1, idx2) is a valid pair. idx1 < idx2 is required. Args: - idx1: first index of the pair. - idx2: second index of the pair. + idx1: First index of the pair. + idx2: Second index of the pair. Returns: - validation result. + Validation result. """ return super().is_valid_pair(idx1, idx2) and abs(idx1 - idx2) <= self._max_frame_lookahead @@ -241,9 +240,9 @@ def get_nonzero_intensity_mask(img: Image, eps: int = 5, kernel_size: Tuple[int, After thresholding the image, we use an erosion kernel to add a buffer between the foreground and background. Args: - img: input Image to be masked (values in range [0, 255]). - eps: minimum allowable intensity value, i.e., values below this value will be masked out. - kernel_size: size of erosion kernel. + img: Input Image to be masked (values in range [0, 255]). + eps: Minimum allowable intensity value, i.e., values below this value will be masked out. + kernel_size: Size of erosion kernel. Returns: Mask (as an integer array) of Image where with a value of 1 where the intensity value is above `eps` and 0 From eb2dc0c9aa72b5a31f499734f8e0c88cc80fb391 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 00:59:00 -0400 Subject: [PATCH 101/145] Add metrics group / report for Retriever --- gtsfm/retriever/retriever_base.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/gtsfm/retriever/retriever_base.py b/gtsfm/retriever/retriever_base.py index b3b9bd1fc..fe8d083ff 100644 --- a/gtsfm/retriever/retriever_base.py +++ b/gtsfm/retriever/retriever_base.py @@ -8,6 +8,7 @@ from pathlib import Path from typing import List, Optional, Tuple +from gtsfm.evaluation.metrics import GtsfmMetric, GtsfmMetricsGroup from gtsfm.loader.loader_base import LoaderBase from gtsfm.ui.gtsfm_process import GTSFMProcess, UiMetadata @@ -54,3 +55,24 @@ def get_image_pairs(self, loader: LoaderBase, plots_output_dir: Optional[Path] = Return: pair_indices: (i1,i2) image pairs. """ + + def evaluate(self, loader: LoaderBase, image_pair_indices: List[Tuple[int, int]]) -> GtsfmMetricsGroup: + """Evaluates the retriever result. + + Args: + loader: Image loader. The length of this loader will provide the total number of images + for exhaustive global descriptor matching. + image_pair_indices: (i1,i2) image pairs. + + Returns: + Retriever metrics group. + """ + metric_group_name = "retriever_metrics" + retriever_metrics = GtsfmMetricsGroup( + metric_group_name, + [ + GtsfmMetric("num_input_images", len(loader)), + GtsfmMetric("num_retrieved_image_pairs", len(image_pair_indices)), + ], + ) + return retriever_metrics From 29cc2c35683f82b786536f0ab168c5a0eef9a11f Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 00:59:18 -0400 Subject: [PATCH 102/145] style fixes on retriever --- gtsfm/retriever/netvlad_retriever.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/gtsfm/retriever/netvlad_retriever.py b/gtsfm/retriever/netvlad_retriever.py index 3f011ca32..7f6c70d59 100644 --- a/gtsfm/retriever/netvlad_retriever.py +++ b/gtsfm/retriever/netvlad_retriever.py @@ -41,8 +41,9 @@ class NetVLADRetriever(RetrieverBase): def __init__(self, num_matched: int, min_score: float = 0.1, blocksize: int = 50) -> None: """ Args: - num_matched: number of K potential matches to provide per query. These are the top "K" matches per query. - blocksize: size of matching sub-blocks when creating similarity matrix. + num_matched: Number of K potential matches to provide per query. These are the top "K" matches per query. + min_score: Minimum allowed similarity score to accept a match. + blocksize: Size of matching sub-blocks when creating similarity matrix. """ super().__init__(matching_regime=ImageMatchingRegime.RETRIEVAL) self._num_matched = num_matched @@ -54,7 +55,7 @@ def get_image_pairs(self, loader: LoaderBase, plots_output_dir: Optional[Path] = """Compute potential image pairs. Args: - loader: image loader. The length of this loader will provide the total number of images + loader: Image loader. The length of this loader will provide the total number of images for exhaustive global descriptor matching. plots_output_dir: Directory to save plots to. If None, plots are not saved. @@ -75,9 +76,9 @@ def compute_similarity_matrix(self, loader: LoaderBase, num_images: int) -> torc https://github.com/colmap/colmap/blob/dev/src/feature/matching.cc#L899 Args: - loader: image loader. The length of this loader will provide the total number of images + loader: Image loader. The length of this loader will provide the total number of images for exhaustive global descriptor matching. - num_images: number of images to compare for matching. + num_images: Number of images to compare for matching. Returns: Delayed task which evaluates to a tensor of shape (num_images, num_images) representing From cb801a3897025c60782f7ba437a70c02e2044e48 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 00:59:55 -0400 Subject: [PATCH 103/145] docstring fixes on open3d vis utils, and add fn to viz GT alongisde --- gtsfm/visualization/open3d_vis_utils.py | 71 ++++++++++++++++++------- 1 file changed, 53 insertions(+), 18 deletions(-) diff --git a/gtsfm/visualization/open3d_vis_utils.py b/gtsfm/visualization/open3d_vis_utils.py index 1bc8442e0..962cd02d4 100644 --- a/gtsfm/visualization/open3d_vis_utils.py +++ b/gtsfm/visualization/open3d_vis_utils.py @@ -1,5 +1,4 @@ -""" -Utilities for rendering camera frustums, 3d point clouds, and coordinate frames using the Open3d library. +"""Utilities for rendering camera frustums, 3d point clouds, and coordinate frames using the Open3d library. Authors: John Lambert """ @@ -19,8 +18,8 @@ def create_colored_point_cloud_open3d(point_cloud: np.ndarray, rgb: np.ndarray) """Render a point cloud as individual colored points, using Open3d. Args: - point_cloud: array of shape (N,3) representing 3d points. - rgb: uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. + point_cloud: Array of shape (N,3) representing 3d points. + rgb: Uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. Returns: pcd: Open3d geometry object representing a colored 3d point cloud. @@ -37,10 +36,10 @@ def create_colored_point_cloud_open3d(point_cloud: np.ndarray, rgb: np.ndarray) def convert_colored_open3d_point_cloud_to_numpy( pointcloud: open3d.geometry.PointCloud, ) -> Tuple[np.ndarray, np.ndarray]: - """ + """Converts an Open3d point cloud object to two Numpy arrays representing x/y/z coords and per-point colors. Args: - pointcloud + pointcloud: Open3d point cloud object. Returns: points: (N,3) float array representing 3d points. @@ -62,7 +61,7 @@ def create_colored_spheres_open3d( Args: point_cloud: Array of shape (N,3) representing 3d points. - rgb: uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. + rgb: Uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. sphere_radius: Radius of each rendered sphere. Returns: @@ -86,24 +85,27 @@ def create_colored_spheres_open3d( def create_all_frustums_open3d( - wTi_list: List[Pose3], calibrations: List[Cal3Bundler], frustum_ray_len: float = 0.3 + wTi_list: List[Pose3], + calibrations: List[Cal3Bundler], + frustum_ray_len: float = 0.3, + color_names: Tuple[str] = ("red", "green"), ) -> List[open3d.geometry.LineSet]: """Render camera frustums as collections of line segments, using Open3d. Frustums are colored red-to-green by image order (for ordered collections, this corresponds to trajectory order). Args: - wTi_list: list of camera poses for each image - calibrations: calibration object for each camera + wTi_list: List of camera poses for each image + calibrations: Calibration object for each camera Returns: - line_sets: list of line segments that together parameterize all camera frustums + line_sets: List of line segments that together parameterize all camera frustums """ line_sets = [] # get array of shape Nx3 representing RGB values in [0,1], incrementally shifting from red to green colormap = np.array( - [[color_obj.rgb] for color_obj in Color("red").range_to(Color("green"), len(wTi_list))] + [[color_obj.rgb] for color_obj in Color(color_names[0]).range_to(Color(color_names[1]), len(wTi_list))] ).squeeze() for i, (K, wTi) in enumerate(zip(calibrations, wTi_list)): @@ -144,10 +146,10 @@ def draw_coordinate_frame(wTc: Pose3, axis_length: float = 1.0) -> List[open3d.g Args: wTc: Pose of a camera in the world frame. - axis_length: length to use for line segments (representing coordinate frame axes). + axis_length: Length to use for line segments (representing coordinate frame axes). Returns: - line_sets: list of Open3D LineSet objects, representing 3 axes (a coordinate frame). + line_sets: List of Open3D LineSet objects, representing 3 axes (a coordinate frame). """ RED = np.array([1, 0, 0]) # x-axis GREEN = np.array([0, 1, 0]) # y-axis @@ -188,11 +190,11 @@ def draw_scene_open3d( """Render camera frustums and a 3d point cloud, using Open3d. Args: - point_cloud: array of shape (N,3) representing 3d points. + point_cloud: Array of shape (N,3) representing 3d points. rgb: uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. - wTi_list: list of camera poses for each image. - calibrations: calibration object for each camera. - args: rendering options. + wTi_list: List of camera poses for each image. + calibrations: Calibration object for each camera. + args: Rendering options. """ frustums = create_all_frustums_open3d(wTi_list, calibrations, args.frustum_ray_len) if args.rendering_style == "point": @@ -203,3 +205,36 @@ def draw_scene_open3d( geometries = frustums + spheres open3d.visualization.draw_geometries(geometries) + + +def draw_scene_with_gt_open3d( + point_cloud: np.ndarray, + rgb: np.ndarray, + wTi_list: List[Pose3], + calibrations: List[Cal3Bundler], + gt_wTi_list: List[Pose3], + gt_calibrations: List[Cal3Bundler], + args: argparse.Namespace, +) -> None: + """Render GT camera frustums, estimated camera frustums, and a 3d point cloud, using Open3d. + + GT frustums are shown in a blue-purple colormap, whereas estimated frustums are shown in a red-green colormap. + + Args: + point_cloud: Array of shape (N,3) representing 3d points. + rgb: Uint8 array of shape (N,3) representing colors in RGB order, in the range [0,255]. + wTi_list: List of camera poses for each image. + calibrations: Calibration object for each camera. + gt_wTi_list: List of ground truth camera poses for each image. + gt_calibrations: Ground truth calibration object for each camera. + args: Rendering options. + """ + frustums = create_all_frustums_open3d(wTi_list, calibrations, args.frustum_ray_len, color_names=("red", "green")) + gt_frustums = create_all_frustums_open3d( + wTi_list, calibrations, args.frustum_ray_len, color_names=("blue", "purple") + ) + + # spheres = create_colored_spheres_open3d(point_cloud, rgb, args.sphere_radius) + geometries = frustums + gt_frustums # + spheres + + open3d.visualization.draw_geometries(geometries) From ee6ba951d57c3ab113988a4c8adffc0325284292 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 01:00:21 -0400 Subject: [PATCH 104/145] style fixes and use new scene data loader for colmap format data that supports bin --- gtsfm/visualization/view_scene.py | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/gtsfm/visualization/view_scene.py b/gtsfm/visualization/view_scene.py index 470591188..4e7262258 100644 --- a/gtsfm/visualization/view_scene.py +++ b/gtsfm/visualization/view_scene.py @@ -1,7 +1,6 @@ -""" -Script to render a GTSFM scene using either Open3d or Mayavi mlab. +"""Script to render a GTSFM scene using either Open3d. -Results must be stored in the COLMAP .txt file format. +Results must be stored in the COLMAP .txt or .bin file format. Authors: John Lambert """ @@ -23,10 +22,10 @@ def compute_point_cloud_center_robust(point_cloud: np.ndarray) -> np.ndarray: """Robustly estimate the point cloud center. Args: - point_cloud: array of shape (N,3) representing 3d points. + point_cloud: Array of shape (N,3) representing 3d points. Returns: - mean_pt: coordinates of central point, ignoring outliers. + mean_pt: Coordinates of central point, ignoring outliers. """ ranges = np.linalg.norm(point_cloud, axis=1) outlier_thresh = np.percentile(ranges, 75) @@ -41,15 +40,11 @@ def view_scene(args: argparse.Namespace) -> None: world frame, where the point cloud is zero-centered. Args: - args: rendering options. + args: Rendering options. """ - points_fpath = f"{args.output_dir}/points3D.txt" - images_fpath = f"{args.output_dir}/images.txt" - cameras_fpath = f"{args.output_dir}/cameras.txt" - # Read in data. - wTi_list, img_fnames, calibrations, point_cloud, rgb = io_utils.read_scene( - images_fpath, cameras_fpath, points_fpath + wTi_list, img_fnames, calibrations, point_cloud, rgb = io_utils.read_scene_data_from_colmap_format( + data_dir=args.output_dir ) if args.show_mvs_result: point_cloud, rgb = io_utils.read_point_cloud_from_ply(args.ply_fpath) @@ -73,20 +68,21 @@ def view_scene(args: argparse.Namespace) -> None: if __name__ == "__main__": - parser = argparse.ArgumentParser(description="Visualize GTSFM result with Mayavi or Open3d.") + parser = argparse.ArgumentParser(description="Visualize GTSFM result with Open3d.") parser.add_argument( "--output_dir", type=str, default=os.path.join(REPO_ROOT, "results", "ba_output"), help="Path to a directory containing GTSFM output. " - "This directory should contain 3 files: cameras.txt, images.txt, and points3D.txt", + "This directory should contain 3 files: either `cameras.txt`, `images.txt`, and `points3D.txt`" + " or `cameras.bin`, `images.bin`, and `points3D.bin`.", ) parser.add_argument( "--rendering_style", type=str, default="point", choices=["point", "sphere"], - help="Render each 3d point as a `point` (optimized in Open3d) or `sphere` (optimized in Mayavi).", + help="Render each 3d point as a `point` (optimized in Open3d) or `sphere` (unoptimized in Open3d).", ) parser.add_argument( "--max_range", From 0cbee24d99ecce9aa4583d4474f0ce956c6951da Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 01:00:33 -0400 Subject: [PATCH 105/145] flake8 fix --- gtsfm/utils/geometry_comparisons.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/gtsfm/utils/geometry_comparisons.py b/gtsfm/utils/geometry_comparisons.py index 3097dc6d2..67f0cee6c 100644 --- a/gtsfm/utils/geometry_comparisons.py +++ b/gtsfm/utils/geometry_comparisons.py @@ -405,5 +405,3 @@ def is_valid_SO3(R: Rot3) -> bool: is_unit_det = np.isclose(np.linalg.det(R), 1.0) is_orthogonal = np.allclose(R @ R.T, np.eye(3)) return is_unit_det and is_orthogonal - - From 8f5a78b7f8a0d182ffe0bb951f5954c6d85dd654 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 01:00:45 -0400 Subject: [PATCH 106/145] Style fixes on images.py --- gtsfm/utils/images.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/gtsfm/utils/images.py b/gtsfm/utils/images.py index b9f688b25..61819aeb0 100644 --- a/gtsfm/utils/images.py +++ b/gtsfm/utils/images.py @@ -239,15 +239,16 @@ def match_image_widths( def get_average_point_color(track: SfmTrack, images: List[Image]) -> Tuple[int, int, int]: - """ + """Computes the average point color over all measurements in a track. + Args: - track: 3d point/landmark and its corresponding 2d measurements in various cameras - images: list of all images for this scene + track: 3d point/landmark and its corresponding 2d measurements in various cameras. + images: List of all images for this scene. Returns: - r: red color intensity, in range [0,255] - g: green color intensity, in range [0,255] - b: blue color intensity, in range [0,255] + r: Red color intensity, in range [0,255]. + g: Green color intensity, in range [0,255]. + b: Blue color intensity, in range [0,255]. """ rgb_measurements = [] for k in range(track.numberMeasurements()): From aa7513792190147fdd2254e1f86b165b354fff37 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 01:01:21 -0400 Subject: [PATCH 107/145] support bin and txt scene data, and read out point_cloud and rgb point values from colmap data --- gtsfm/utils/io.py | 100 +++++++++++++++++++++++++++++++++------------- 1 file changed, 72 insertions(+), 28 deletions(-) diff --git a/gtsfm/utils/io.py b/gtsfm/utils/io.py index 64f703ad1..3b78d7114 100644 --- a/gtsfm/utils/io.py +++ b/gtsfm/utils/io.py @@ -22,6 +22,7 @@ import gtsfm.utils.logger as logger_utils import gtsfm.utils.reprojection as reproj_utils import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils +import thirdparty.colmap.scripts.python.read_write_model as colmap_io from gtsfm.common.gtsfm_data import GtsfmData from gtsfm.common.image import Image from gtsfm.common.sfm_track import SfmTrack2d @@ -160,9 +161,9 @@ def export_model_as_colmap_text(gtsfm_data: GtsfmData, images: List[Image], save Three text files will be save to disk: "points3D.txt", "images.txt", and "cameras.txt". Args: - gtsfm_data: scene data to write. - images: list of all images for this scene, in order of image index. - save_dir: folder where text files will be saved. + gtsfm_data: Scene data to write. + images: List of all images for this scene, in order of image index. + save_dir: Folder where text files will be saved. """ write_cameras(gtsfm_data, images, save_dir) write_images(gtsfm_data, images, save_dir) @@ -174,18 +175,22 @@ def colmap2gtsfm( images: Dict[int, ColmapImage], points3D: Dict[int, ColmapPoint3D], load_sfmtracks: bool = False, -) -> Tuple[List[str], List[Pose3], List[str], Optional[List[Point3]]]: +) -> Tuple[List[str], List[Pose3], List[str], Optional[List[Point3]], np.ndarray, np.ndarray]: """Converts COLMAP-formatted variables to GTSfM format. + Args: - cameras: dictionary of COLMAP-formatted Cameras - images: dictionary of COLMAP-formatted Images - points3D: dictionary of COLMAP-formatted Point3Ds - return_tracks (optional): whether or not to return tracks + cameras: Dictionary of COLMAP-formatted Cameras. + images: Dictionary of COLMAP-formatted Images. + points3D: Dictionary of COLMAP-formatted Point3Ds. + return_tracks (optional): Whether or not to return tracks. + Returns: - img_fnames: file names of images in images_gtsfm - wTi_gtsfm: list of N camera poses when each image was taken - intrinsics_gtsfm: list of N camera calibrations corresponding to the N images in images_gtsfm - sfmtracks_gtsfm: tracks of points in points3D + img_fnames: File names of images in images_gtsfm. + wTi_gtsfm: List of N camera poses when each image was taken. + intrinsics_gtsfm: List of N camera calibrations corresponding to the N images in images_gtsfm. + sfmtracks_gtsfm: Tracks of points in points3D. + point_cloud: (N,3) array representing xyz coordinates of 3d points. + rgb: Uint8 array of shape (N,3) representing per-point colors. """ # Note: Assumes input cameras use `PINHOLE` model if len(images) == 0 and len(cameras) == 0: @@ -210,7 +215,9 @@ def colmap2gtsfm( sfmtrack.addMeasurement(image_id_to_idx[image_id], images[image_id].xys[point2d_idx]) sfmtracks_gtsfm.append(sfmtrack) - return img_fnames, wTi_gtsfm, intrinsics_gtsfm, sfmtracks_gtsfm + point_cloud = np.array([point3d.xyz for point3d in points3D.values()]) + rgb = np.array([point3d.rgb for point3d in points3D.values()]) + return img_fnames, wTi_gtsfm, intrinsics_gtsfm, sfmtracks_gtsfm, point_cloud, rgb def read_cameras_txt(fpath: str) -> Optional[List[Cal3Bundler]]: @@ -354,9 +361,9 @@ def write_images(gtsfm_data: GtsfmData, images: List[Image], save_dir: str) -> N which COLMAP refers to as the "reconstructed cameras". Args: - gtsfm_data: scene data to write. - images: list of all images for this scene, in order of image index. - save_dir: folder to put the images.txt file in. + gtsfm_data: Scene data to write. + images: List of all images for this scene, in order of image index. + save_dir: Folder to put the images.txt file in. """ os.makedirs(save_dir, exist_ok=True) @@ -410,11 +417,11 @@ def read_points_txt(fpath: str) -> Tuple[Optional[np.ndarray], Optional[np.ndarr Reference: https://colmap.github.io/format.html#points3d-txt Args: - fpath: absolute file path to points.txt file + fpath: Absolute file path to points.txt file. Returns: - point_cloud: float array of shape (N,3) - rgb: uint8 array of shape (N,3) + point_cloud: Float array of shape (N,3) representing per-point x/y/z coordinates. + rgb: Uint8 array of shape (N,3) representing per-point colors. """ if not Path(fpath).exists(): logger.info("%s does not exist", fpath) @@ -450,13 +457,50 @@ def read_points_txt(fpath: str) -> Tuple[Optional[np.ndarray], Optional[np.ndarr return point_cloud, rgb -def read_scene( - images_fpath: str, cameras_fpath: str, points_fpath: str +def read_scene_data_from_colmap_format( + data_dir: str ) -> Tuple[List[Pose3], List[str], List[Cal3Bundler], np.ndarray, np.ndarray]: - """Reads in full scene reconstruction model.""" - wTi_list, img_fnames = read_images_txt(images_fpath) - calibrations = read_cameras_txt(cameras_fpath) - point_cloud, rgb = read_points_txt(points_fpath) + """Reads in full scene reconstruction model from scene data stored in the COLMAP file format. + + Reference: https://colmap.github.io/format.html + + Args: + data_dir: This directory should contain 3 files: either `cameras.txt`, `images.txt`, and `points3D.txt`, or + `cameras.bin`, `images.bin`, and `points3D.bin`. + + Returns: + 5-tuple of: + wTi_list: List of camera poses for each image. + img_fnames: List of image file names, for each image. + calibrations: Calibration object for each camera. + point_cloud: Float array of shape (N,3) representing per-point x/y/z coordinates. + rgb: Uint8 array of shape (N,3) representing per-point colors. + """ + # Determine whether scene data is stored in a text (txt) or binary (bin) file format. + if Path(data_dir, "images.txt").exists(): + file_format = "txt" + elif Path(data_dir, "images.bin").exists(): + file_format = "bin" + else: + raise ValueError( + f"Unknown file format, as neither `{data_dir}/images.txt` or `{data_dir}/images.bin` could be found." + ) + + if file_format == "txt": + # TODO(johnwlambert): Consider unifying interfaces by using `colmap_io.read_model` for txt reading also. + points_fpath = f"{data_dir}/points3D.txt" + images_fpath = f"{data_dir}/images.txt" + cameras_fpath = f"{data_dir}/cameras.txt" + wTi_list, img_fnames = read_images_txt(images_fpath) + calibrations = read_cameras_txt(cameras_fpath) + point_cloud, rgb = read_points_txt(points_fpath) + + elif file_format == "bin": + cameras, images, points3d = colmap_io.read_model(path=data_dir, ext=".bin") + img_fnames, wTi_list, calibrations, _, point_cloud, rgb = colmap2gtsfm( + cameras, images, points3d, load_sfmtracks=False + ) + if any(x is None for x in [wTi_list, img_fnames, calibrations, point_cloud, rgb]): raise RuntimeError("One or more of the requested model data products was not found.") return wTi_list, img_fnames, calibrations, point_cloud, rgb @@ -468,9 +512,9 @@ def write_points(gtsfm_data: GtsfmData, images: List[Image], save_dir: str) -> N Reference: https://colmap.github.io/format.html#points3d-txt Args: - gtsfm_data: scene data to write. - images: list of all images for this scene, in order of image index - save_dir: folder to put the points3D.txt file in. + gtsfm_data: Scene data to write. + images: List of all images for this scene, in order of image index + save_dir: Folder to put the points3D.txt file in. """ os.makedirs(save_dir, exist_ok=True) From e005be2ed151e3dc005aea1f145735b1722e1749 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 01:02:29 -0400 Subject: [PATCH 108/145] Always save pose auc plots --- gtsfm/utils/metrics.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/gtsfm/utils/metrics.py b/gtsfm/utils/metrics.py index c354e4679..d0dd0a1cf 100644 --- a/gtsfm/utils/metrics.py +++ b/gtsfm/utils/metrics.py @@ -502,7 +502,7 @@ def get_measurement_angle_errors( return errors -def pose_auc(errors: np.ndarray, thresholds: Sequence[float], save_plot: bool = False) -> Sequence[float]: +def pose_auc(errors: np.ndarray, thresholds: Sequence[float], save_plot: bool = True) -> Sequence[float]: """Computes area under the Recall (y) vs. Pose Error (x) curve, the pose AUC. If recall is defined as TP / # actual positives, then every camera is a TP if one can register it. @@ -531,7 +531,8 @@ def pose_auc(errors: np.ndarray, thresholds: Sequence[float], save_plot: bool = plt.ylabel("Recall") plt.xlabel("Pose Error (deg.)") uuid = datetime.datetime.utcnow().strftime("%Y_%m_%d_%H_%M_%S_%f") - save_fpath = f"{uuid}_recall_vs_pose_error_curve_auc.jpg" + Path("pose_auc").mkdir(parents=True, exist_ok=True) + save_fpath = Path("pose_auc", f"{uuid}_recall_vs_pose_error_curve_auc_{t}_deg_threshold.jpg") plt.savefig(save_fpath) plt.close("all") From 634f220afc7c57ccf9fd027b2b365bceb42a080a Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 01:03:37 -0400 Subject: [PATCH 109/145] save pre-ba summary --- gtsfm/runner/gtsfm_runner_base.py | 20 +++++++++++++++----- 1 file changed, 15 insertions(+), 5 deletions(-) diff --git a/gtsfm/runner/gtsfm_runner_base.py b/gtsfm/runner/gtsfm_runner_base.py index 59521458e..9f7ac63de 100644 --- a/gtsfm/runner/gtsfm_runner_base.py +++ b/gtsfm/runner/gtsfm_runner_base.py @@ -195,7 +195,7 @@ def construct_scene_optimizer(self) -> SceneOptimizer: logger.info("\n\nSceneOptimizer: " + str(scene_optimizer)) return scene_optimizer - def setup_ssh_cluster_with_retries(self): + def setup_ssh_cluster_with_retries(self) -> SSHCluster: """Sets up SSH Cluster allowing multiple retries upon connection failures.""" workers = OmegaConf.load( os.path.join(self.parsed_args.output_root, "gtsfm", "configs", self.parsed_args.cluster_config) @@ -250,6 +250,10 @@ def run(self) -> GtsfmData: image_pair_indices = self.scene_optimizer.retriever.get_image_pairs( self.loader, plots_output_dir=self.scene_optimizer._plot_base_path ) + retriever_metrics = self.scene_optimizer.retriever.evaluate(self.loader, image_pair_indices) + retriever_metrics.save_to_json( + os.path.join(self.parsed_args.output_root, "result_metrics", "retriever_metrics" + ".json") + ) intrinsics = self.loader.get_all_intrinsics() @@ -274,7 +278,7 @@ def run(self) -> GtsfmData: gt_scene_mesh=self.loader.get_gt_scene_trimesh(), ) - i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, two_view_reports_dict = unzip_two_view_results(two_view_results_dict) + i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, _, two_view_reports_dict = unzip_two_view_results(two_view_results_dict) delayed_sfm_result, delayed_io = self.scene_optimizer.create_computation_graph( keypoints_list=keypoints_list, @@ -311,22 +315,28 @@ def unzip_two_view_results( Dict[Tuple[int, int], Unit3], Dict[Tuple[int, int], np.ndarray], Dict[Tuple[int, int], TwoViewEstimationReport], + Dict[Tuple[int, int], TwoViewEstimationReport], ]: """Unzip the tuple TWO_VIEW_OUTPUT into 1 dictionary for 1 element in the tuple.""" i2Ri1_dict: Dict[Tuple[int, int], Rot3] = {} i2Ui1_dict: Dict[Tuple[int, int], Unit3] = {} v_corr_idxs_dict: Dict[Tuple[int, int], np.ndarray] = {} - two_view_reports_dict: Dict[Tuple[int, int], TwoViewEstimationReport] = {} + pre_ba_two_view_reports_dict: Dict[Tuple[int, int], TwoViewEstimationReport] = {} + post_isp_two_view_reports_dict: Dict[Tuple[int, int], TwoViewEstimationReport] = {} for (i1, i2), two_view_output in two_view_results.items(): + # Value is ordered as (post_isp_i2Ri1, post_isp_i2Ui1, post_isp_v_corr_idxs, + # pre_ba_report, post_ba_report, post_isp_report). i2Ri1 = two_view_output[0] i2Ui1 = two_view_output[1] if i2Ri1 is None or i2Ui1 is None: + print(f"Skip {i1},{i2} since None") continue i2Ri1_dict[(i1, i2)] = i2Ri1 i2Ui1_dict[(i1, i2)] = i2Ui1 v_corr_idxs_dict[(i1, i2)] = two_view_output[2] - two_view_reports_dict[(i1, i2)] = two_view_output[5] + pre_ba_two_view_reports_dict[(i1, i2)] = two_view_output[3] + post_isp_two_view_reports_dict[(i1, i2)] = two_view_output[5] - return i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, two_view_reports_dict + return i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, pre_ba_two_view_reports_dict, post_isp_two_view_reports_dict From 511c36192a519be5501d22a6ece3019ab5d914c5 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Fri, 4 Aug 2023 01:04:43 -0400 Subject: [PATCH 110/145] improve name of metric --- gtsfm/two_view_estimator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/two_view_estimator.py b/gtsfm/two_view_estimator.py index ddfc5ea16..2e6b297b1 100644 --- a/gtsfm/two_view_estimator.py +++ b/gtsfm/two_view_estimator.py @@ -497,7 +497,7 @@ def aggregate_frontend_metrics( metric_group_name, [ GtsfmMetric("angular_err_threshold_deg", angular_err_threshold_deg), - GtsfmMetric("num_total_image_pairs", int(num_image_pairs)), + GtsfmMetric("num_input_image_pairs", int(num_image_pairs)), GtsfmMetric("num_valid_image_pairs", int(num_valid_image_pairs)), GtsfmMetric("rotation_success_count", int(success_count_rot3)), GtsfmMetric("translation_success_count", int(success_count_unit3)), From 78d728295461d37fb4e7183c8098c8c7d7c496c5 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 5 Aug 2023 12:01:31 -0400 Subject: [PATCH 111/145] Remove custom shonan covariances --- gtsfm/configs/deep_front_end.yaml | 2 -- gtsfm/configs/deep_front_end_astrovision.yaml | 2 -- gtsfm/configs/sift_front_end.yaml | 2 -- gtsfm/configs/sift_front_end_astrovision.yaml | 2 -- 4 files changed, 8 deletions(-) diff --git a/gtsfm/configs/deep_front_end.yaml b/gtsfm/configs/deep_front_end.yaml index 30a501aff..fdc8b5181 100644 --- a/gtsfm/configs/deep_front_end.yaml +++ b/gtsfm/configs/deep_front_end.yaml @@ -60,8 +60,6 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging - # Use a very low value. - two_view_rotation_sigma: 0.1 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/deep_front_end_astrovision.yaml b/gtsfm/configs/deep_front_end_astrovision.yaml index aacb0f09c..1e215c427 100644 --- a/gtsfm/configs/deep_front_end_astrovision.yaml +++ b/gtsfm/configs/deep_front_end_astrovision.yaml @@ -59,8 +59,6 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging - # Use a very low value. - two_view_rotation_sigma: 0.1 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/sift_front_end.yaml b/gtsfm/configs/sift_front_end.yaml index 53bc8618e..037d7725e 100644 --- a/gtsfm/configs/sift_front_end.yaml +++ b/gtsfm/configs/sift_front_end.yaml @@ -61,8 +61,6 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging - # Use a very low value. - two_view_rotation_sigma: 0.1 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM diff --git a/gtsfm/configs/sift_front_end_astrovision.yaml b/gtsfm/configs/sift_front_end_astrovision.yaml index 0c3a39e1d..a70c7bbd7 100644 --- a/gtsfm/configs/sift_front_end_astrovision.yaml +++ b/gtsfm/configs/sift_front_end_astrovision.yaml @@ -57,8 +57,6 @@ SceneOptimizer: rot_avg_module: _target_: gtsfm.averaging.rotation.shonan.ShonanRotationAveraging - # Use a very low value. - two_view_rotation_sigma: 0.01 trans_avg_module: _target_: gtsfm.averaging.translation.averaging_1dsfm.TranslationAveraging1DSFM From 0a7418031746620468d941703fbb7eacbf41a8b4 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 5 Aug 2023 15:37:53 -0400 Subject: [PATCH 112/145] use points instead of spheres for rendering speed --- gtsfm/visualization/open3d_vis_utils.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/gtsfm/visualization/open3d_vis_utils.py b/gtsfm/visualization/open3d_vis_utils.py index 962cd02d4..7c989b81a 100644 --- a/gtsfm/visualization/open3d_vis_utils.py +++ b/gtsfm/visualization/open3d_vis_utils.py @@ -235,6 +235,7 @@ def draw_scene_with_gt_open3d( ) # spheres = create_colored_spheres_open3d(point_cloud, rgb, args.sphere_radius) - geometries = frustums + gt_frustums # + spheres + pcd = create_colored_point_cloud_open3d(point_cloud, rgb) + geometries = frustums + gt_frustums + [pcd] # + spheres open3d.visualization.draw_geometries(geometries) From 6d3ca41a5121c699a552602e25e1507c09ae5add Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 6 Aug 2023 01:12:55 -0400 Subject: [PATCH 113/145] remove stale print statement --- gtsfm/two_view_estimator.py | 1 - 1 file changed, 1 deletion(-) diff --git a/gtsfm/two_view_estimator.py b/gtsfm/two_view_estimator.py index 3e555a89e..ecf6bc64b 100644 --- a/gtsfm/two_view_estimator.py +++ b/gtsfm/two_view_estimator.py @@ -240,7 +240,6 @@ def __get_2view_report_from_results( R_error_deg, U_error_deg = compute_relative_pose_metrics( i2Ri1_computed, i2Ui1_computed, gt_camera_i1.pose(), gt_camera_i2.pose() ) - print(f"Two view estimator: [R error deg] {R_error_deg}, [U error deg] {U_error_deg}") # TODO: add support for other camera models if isinstance(gt_camera_i1, PinholeCameraCal3Bundler) and isinstance( gt_camera_i2, PinholeCameraCal3Bundler From ea532a9155c41c78e8542165740e966304064775 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 6 Aug 2023 01:21:07 -0400 Subject: [PATCH 114/145] remove dataset download from self-hosted runner --- .../execute_single_benchmark_self_hosted.sh | 14 ++------------ 1 file changed, 2 insertions(+), 12 deletions(-) diff --git a/.github/scripts/execute_single_benchmark_self_hosted.sh b/.github/scripts/execute_single_benchmark_self_hosted.sh index 8e7134063..f8fb35153 100755 --- a/.github/scripts/execute_single_benchmark_self_hosted.sh +++ b/.github/scripts/execute_single_benchmark_self_hosted.sh @@ -18,22 +18,12 @@ if [ "$DATASET_NAME" == "skydio-501" ]; then IMAGES_DIR="skydio-crane-mast-501-images" COLMAP_FILES_DIRPATH="skydio-501-colmap-pseudo-gt" elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then + # Should be previously downloaded from + # https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip DATASET_ROOT="Tanks_and_Temples_Barn_410" SCENE_NAME="Barn" fi -## Download the Tanks & Temples dataset. ################ -WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip -ZIP_FNAME=Tanks_and_Temples_Barn_410.zip -echo "Downloading ${ZIP_FNAME} with WGET" -wget -O $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip $WGET_URL1 -unzip -qq $DATASET_PREFIX/$ZIP_FNAME -d $DATASET_PREFIX -pwd $DATASET_PREFIX -ls -ltrh $DATASET_PREFIX -ls -ltrh $DATASET_PREFIX/$DATASET_ROOT -rm $DATASET_PREFIX/Tanks_and_Temples_Barn_410.zip -######################################### - echo "Config: ${CONFIG_NAME}, Loader: ${LOADER_NAME}" echo "Max. Frame Lookahead: ${MAX_FRAME_LOOKAHEAD}, Image Extension: ${IMAGE_EXTENSION}, Max. Resolution: ${MAX_RESOLUTION}" From 34a03582e08ffc700b2ed9409737071923d2c596 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 4 Sep 2023 22:40:30 -0400 Subject: [PATCH 115/145] revert changes to self-hosted runner --- .github/scripts/download_single_benchmark.sh | 1 - .../scripts/execute_single_benchmark_self_hosted.sh | 10 ---------- .github/workflows/benchmark-self-hosted.yml | 3 +-- 3 files changed, 1 insertion(+), 13 deletions(-) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index fc53612cd..14d8a9d22 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -142,7 +142,6 @@ function download_and_unzip_dataset_files { elif [ "$DATASET_NAME" == "gerrard-hall-100" ]; then unzip gerrard-hall-100.zip - ls -ltrh gerrard-hall-100 elif [ "$DATASET_NAME" == "south-building-128" ]; then unzip south-building-128.zip diff --git a/.github/scripts/execute_single_benchmark_self_hosted.sh b/.github/scripts/execute_single_benchmark_self_hosted.sh index 190a134db..320d6151f 100755 --- a/.github/scripts/execute_single_benchmark_self_hosted.sh +++ b/.github/scripts/execute_single_benchmark_self_hosted.sh @@ -16,11 +16,6 @@ SHARE_INTRINSICS=$6 if [ "$DATASET_NAME" == "skydio-501" ]; then IMAGES_DIR="skydio-crane-mast-501-images" COLMAP_FILES_DIRPATH="skydio-501-colmap-pseudo-gt" -elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then - # Should be previously downloaded from - # https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip - DATASET_ROOT="Tanks_and_Temples_Barn_410" - SCENE_NAME="Barn" fi @@ -65,9 +60,4 @@ elif [ "$LOADER_NAME" == "astrovision" ]; then --max_resolution ${MAX_RESOLUTION} \ ${SHARE_INTRINSICS_ARG} -elif [ "$LOADER_NAME" == "tanks-and-temples" ]; then - python gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py \ - --config_name ${CONFIG_NAME}.yaml \ - --dataset_root $DATASET_ROOT \ - --scene_name $SCENE_NAME fi diff --git a/.github/workflows/benchmark-self-hosted.yml b/.github/workflows/benchmark-self-hosted.yml index b9a005aef..e01dfdddf 100644 --- a/.github/workflows/benchmark-self-hosted.yml +++ b/.github/workflows/benchmark-self-hosted.yml @@ -19,8 +19,7 @@ jobs: matrix: config_dataset_info: [ # config dataset lookahead img-extension source loader max-res share-intrinsics - #[skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], - [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], + [skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], ] defaults: run: From f3fd910c2ed5d0e8f8a4d6023f60a3c43b8349dc Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 4 Sep 2023 22:45:52 -0400 Subject: [PATCH 116/145] Fix formatting --- .github/scripts/execute_single_benchmark_self_hosted.sh | 1 - .github/workflows/benchmark-self-hosted.yml | 4 ++-- gtsfm/runner/gtsfm_runner_base.py | 4 +++- 3 files changed, 5 insertions(+), 4 deletions(-) diff --git a/.github/scripts/execute_single_benchmark_self_hosted.sh b/.github/scripts/execute_single_benchmark_self_hosted.sh index 320d6151f..47eb92337 100755 --- a/.github/scripts/execute_single_benchmark_self_hosted.sh +++ b/.github/scripts/execute_single_benchmark_self_hosted.sh @@ -18,7 +18,6 @@ if [ "$DATASET_NAME" == "skydio-501" ]; then COLMAP_FILES_DIRPATH="skydio-501-colmap-pseudo-gt" fi - echo "Config: ${CONFIG_NAME}, Loader: ${LOADER_NAME}" echo "Max. Frame Lookahead: ${MAX_FRAME_LOOKAHEAD}, Max. Resolution: ${MAX_RESOLUTION}" echo "Share intrinsics for all images? ${SHARE_INTRINSICS}" diff --git a/.github/workflows/benchmark-self-hosted.yml b/.github/workflows/benchmark-self-hosted.yml index e01dfdddf..dfc7c066c 100644 --- a/.github/workflows/benchmark-self-hosted.yml +++ b/.github/workflows/benchmark-self-hosted.yml @@ -18,8 +18,8 @@ jobs: fail-fast: false matrix: config_dataset_info: [ - # config dataset lookahead img-extension source loader max-res share-intrinsics - [skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], + # config dataset lookahead img-extension source loader max-res share-intrinsics + [skydio_front_end, skydio-501, 15, jpg, wget, colmap-loader, 600, true,], ] defaults: run: diff --git a/gtsfm/runner/gtsfm_runner_base.py b/gtsfm/runner/gtsfm_runner_base.py index 5b4d053db..7c40fdf88 100644 --- a/gtsfm/runner/gtsfm_runner_base.py +++ b/gtsfm/runner/gtsfm_runner_base.py @@ -314,7 +314,9 @@ def run(self) -> GtsfmData: ) two_view_estimation_duration_sec = time.time() - two_view_estimation_start_time - i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, _, two_view_reports_dict = unzip_two_view_results(two_view_results_dict) + i2Ri1_dict, i2Ui1_dict, v_corr_idxs_dict, _, two_view_reports_dict = unzip_two_view_results( + two_view_results_dict + ) two_view_agg_metrics = two_view_estimator.aggregate_frontend_metrics( two_view_reports_dict=two_view_reports_dict, angular_err_threshold_deg=self.scene_optimizer._pose_angular_error_thresh, From a429482d38cd22a2719e97e9267486226f45f129 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 19:49:46 -0500 Subject: [PATCH 117/145] update data paths --- gtsfm/configs/synthetic_front_end.yaml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 81ac959fe..6719e40da 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -26,8 +26,7 @@ SceneOptimizer: correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 - dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 - # dataset_root: /home/tdriver6/sfm_datasets/Tanks_and_Temples_Barn_410 + dataset_root: /usr/local/gtsfm-data/Tanks_and_Temples_Barn_410 scene_name: Barn two_view_estimator: From 783344ba4335e86f3f1498cb2fae30a31e417ce2 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 20:45:01 -0500 Subject: [PATCH 118/145] flake8 fixes --- tests/loader/test_tanks_and_temples_loader.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/tests/loader/test_tanks_and_temples_loader.py b/tests/loader/test_tanks_and_temples_loader.py index fd70ddf76..6fd162516 100644 --- a/tests/loader/test_tanks_and_temples_loader.py +++ b/tests/loader/test_tanks_and_temples_loader.py @@ -5,13 +5,10 @@ import unittest from pathlib import Path -import matplotlib.pyplot as plt import numpy as np -import open3d from gtsam import Cal3Bundler, Unit3 import gtsfm.utils.geometry_comparisons as geom_comp_utils -import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.common.image import Image from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader from gtsfm.frontend.verifier.loransac import LoRansac From 4f9005c610b492c79b20739a45576a9d99a13b1e Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 20:45:18 -0500 Subject: [PATCH 119/145] fix duplicated imports --- gtsfm/loader/tanks_and_temples_loader.py | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index c8057277c..0b1ab3443 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -17,10 +17,13 @@ from dask.distributed import Future import gtsfm.common.types as gtsfm_types +import gtsfm.utils.geometry_comparisons as geom_comp_utils import gtsfm.utils.io as io_utils import gtsfm.utils.logger as logger_utils +import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.common.image import Image from gtsfm.common.keypoints import Keypoints +from gtsfm.loader.loader_base import LoaderBase from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_base import KeypointAggregatorBase from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_dedup import ( KeypointAggregatorDedup, @@ -29,12 +32,6 @@ KeypointAggregatorUnique, ) -import gtsfm.utils.io as io_utils -import gtsfm.utils.logger as logger_utils -from gtsfm.common.image import Image -from gtsfm.loader.loader_base import LoaderBase -import gtsfm.utils.geometry_comparisons as geom_comp_utils -import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils logger = logger_utils.get_logger() From c084bd1a85500bc8f9f5a32bedfc891fb813d22d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 20:45:34 -0500 Subject: [PATCH 120/145] add more visualization functionality --- .../view_scene_tanks_and_temples.py | 42 +++++++++++++++++++ 1 file changed, 42 insertions(+) diff --git a/gtsfm/visualization/view_scene_tanks_and_temples.py b/gtsfm/visualization/view_scene_tanks_and_temples.py index 14ff1786c..fbe6dbfee 100644 --- a/gtsfm/visualization/view_scene_tanks_and_temples.py +++ b/gtsfm/visualization/view_scene_tanks_and_temples.py @@ -7,8 +7,10 @@ import os from pathlib import Path +import matplotlib.pyplot as plt import numpy as np import open3d +from gtsam import Cal3Bundler import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader @@ -58,6 +60,46 @@ def view_scene(args: argparse.Namespace) -> None: geometries = frustums + [colmap_pcd] + [lidar_pcd] open3d.visualization.draw_geometries(geometries) + visualize_mesh = True + if visualize_mesh: + mesh = loader.reconstruct_mesh() + num_sampled_3d_points = 20000 + pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) + # pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) + open3d.visualization.draw_geometries([pcd]) + + open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) + + visualize_synthetic_correspondences = True + if visualize_synthetic_correspondences: + # Project LiDAR point cloud into image 1. + pcd = loader.get_lidar_point_cloud() + lidar_points = np.asarray(pcd.points) + + # Project mesh vertices into image 1. + mesh = loader.reconstruct_mesh() + mesh_points = np.asarray(mesh.vertices) + + camera_i1 = loader.get_camera(index=0) + + keypoints_i1 = _project_points_onto_image(lidar_points, camera_i1) + keypoints_i1_ = _project_points_onto_image(mesh_points, camera_i1) + + img = loader.get_image_full_res(index=0) + plt.imshow(img.value_array.astype(np.uint8)) + plt.scatter(keypoints_i1[:, 0], keypoints_i1[:, 1], 10, color="r", marker=".", alpha=0.007) + plt.scatter(keypoints_i1_[:, 0], keypoints_i1_[:, 1], 10, color="g", marker=".", alpha=0.007) + plt.show() + + +def _project_points_onto_image(points: np.ndarray, camera: Cal3Bundler) -> np.ndarray: + """Returns (N,2) array of keypoint coordinates.""" + keypoints = [] + for point in points: + keypoints.append(camera.projectSafe(point)[0]) + + return np.array(keypoints_i1) + if __name__ == "__main__": parser = argparse.ArgumentParser(description="Visualize Tanks & Temples dataset w/ Open3d.") From 845f35cb752f37499d431fff588b7b823c759915 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 20:46:01 -0500 Subject: [PATCH 121/145] fix typo --- gtsfm/visualization/view_scene_tanks_and_temples.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/gtsfm/visualization/view_scene_tanks_and_temples.py b/gtsfm/visualization/view_scene_tanks_and_temples.py index fbe6dbfee..35b394d02 100644 --- a/gtsfm/visualization/view_scene_tanks_and_temples.py +++ b/gtsfm/visualization/view_scene_tanks_and_temples.py @@ -63,13 +63,15 @@ def view_scene(args: argparse.Namespace) -> None: visualize_mesh = True if visualize_mesh: mesh = loader.reconstruct_mesh() + open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) + + visualize_mesh_sampled_points = True + if visualize_mesh_sampled_points: num_sampled_3d_points = 20000 pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) # pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) open3d.visualization.draw_geometries([pcd]) - open3d.visualization.draw_geometries([mesh], mesh_show_back_face=True) - visualize_synthetic_correspondences = True if visualize_synthetic_correspondences: # Project LiDAR point cloud into image 1. @@ -98,7 +100,7 @@ def _project_points_onto_image(points: np.ndarray, camera: Cal3Bundler) -> np.nd for point in points: keypoints.append(camera.projectSafe(point)[0]) - return np.array(keypoints_i1) + return np.array(keypoints) if __name__ == "__main__": From e032f49550e8c755e9db23a151b017f0da85981a Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 20:46:26 -0500 Subject: [PATCH 122/145] python black reformat --- gtsfm/loader/tanks_and_temples_loader.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 0b1ab3443..e71144391 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -244,7 +244,6 @@ def get_colmap_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry. rgb = rgb[::downsample_factor] return open3d_vis_utils.create_colored_point_cloud_open3d(point_cloud=points, rgb=rgb) - def reconstruct_mesh( self, crop_by_polyhedron: bool = True, @@ -328,7 +327,7 @@ def generate_synthetic_correspondences( keypoints_dict = {} putative_corr_idxs_dict = {} - for (i1, i2) in image_pairs: + for i1, i2 in image_pairs: if i1 not in camera_dict: camera_dict[i1] = self.get_camera(index=i1) if i2 not in camera_dict: From 0237101b126ee9cab543b1251fb995bb3ceec674 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 20:59:12 -0500 Subject: [PATCH 123/145] get intrinsics from EXIF --- gtsfm/loader/tanks_and_temples_loader.py | 17 +++-------------- 1 file changed, 3 insertions(+), 14 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index e71144391..a9a343249 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -164,19 +164,8 @@ def get_camera_intrinsics_full_res(self, index: int) -> Optional[Cal3Bundler]: if index < 0 or index >= len(self): raise IndexError("Image index is invalid") - # Use synthetic camera. - H = _DEFAULT_IMAGE_HEIGHT_PX - W = _DEFAULT_IMAGE_WIDTH_PX - # Principal point offset: - cx = W / 2 - cy = H / 2 - # Focal length: - fx = 0.7 * W - - # TODO(johnwlambert): Add Sony A7SM2 to sensor DB (35.6 x 23.8 mm), and get intrinsics from exif. - # intrinsics = io_utils.load_image(self._image_paths[index]).get_intrinsics_from_exif() - - intrinsics = Cal3Bundler(fx, k1=0.0, k2=0.0, u0=cx, v0=cy) + # Retrieve focal length from EXIF, and principal point will be `cx = IMG_W / 2`, `cy = IMG_H / 2`. + intrinsics = io_utils.load_image(self._image_paths[index]).get_intrinsics_from_exif() return intrinsics def get_camera_pose(self, index: int) -> Optional[Pose3]: @@ -300,7 +289,7 @@ def generate_synthetic_correspondences( """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. Args: - images: + images: List of input images. image_pairs: Tuples (i1,i2) indicating image indices to use as image pairs. deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. From 303b6950debbb3c8ca17ee2168c17e12c8a5132b Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 21:01:14 -0500 Subject: [PATCH 124/145] add back CI path --- gtsfm/configs/synthetic_front_end.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 6719e40da..032ee1ab6 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -26,7 +26,8 @@ SceneOptimizer: correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 - dataset_root: /usr/local/gtsfm-data/Tanks_and_Temples_Barn_410 + #dataset_root: /usr/local/gtsfm-data/Tanks_and_Temples_Barn_410 + dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 # Path for CI. scene_name: Barn two_view_estimator: From e5649932bf8fd9317e64bc78a311c75a7f37fa81 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 21:29:18 -0500 Subject: [PATCH 125/145] improve viz script --- .../view_scene_tanks_and_temples.py | 19 +++++++++++-------- 1 file changed, 11 insertions(+), 8 deletions(-) diff --git a/gtsfm/visualization/view_scene_tanks_and_temples.py b/gtsfm/visualization/view_scene_tanks_and_temples.py index 35b394d02..749747928 100644 --- a/gtsfm/visualization/view_scene_tanks_and_temples.py +++ b/gtsfm/visualization/view_scene_tanks_and_temples.py @@ -74,22 +74,25 @@ def view_scene(args: argparse.Namespace) -> None: visualize_synthetic_correspondences = True if visualize_synthetic_correspondences: + camera_i1 = loader.get_camera(index=0) + img = loader.get_image_full_res(index=0) + # Project LiDAR point cloud into image 1. - pcd = loader.get_lidar_point_cloud() + pcd = loader.get_lidar_point_cloud(downsample_factor=10) lidar_points = np.asarray(pcd.points) + keypoints_i1 = _project_points_onto_image(lidar_points, camera_i1) + # Plot projected LiDAR points. + plt.imshow(img.value_array.astype(np.uint8)) + plt.scatter(keypoints_i1[:, 0], keypoints_i1[:, 1], 10, color="r", marker=".", alpha=0.007) + plt.show() + # Project mesh vertices into image 1. mesh = loader.reconstruct_mesh() mesh_points = np.asarray(mesh.vertices) - - camera_i1 = loader.get_camera(index=0) - - keypoints_i1 = _project_points_onto_image(lidar_points, camera_i1) keypoints_i1_ = _project_points_onto_image(mesh_points, camera_i1) - - img = loader.get_image_full_res(index=0) + # Plot projected mesh points. plt.imshow(img.value_array.astype(np.uint8)) - plt.scatter(keypoints_i1[:, 0], keypoints_i1[:, 1], 10, color="r", marker=".", alpha=0.007) plt.scatter(keypoints_i1_[:, 0], keypoints_i1_[:, 1], 10, color="g", marker=".", alpha=0.007) plt.show() From c79c21c34bcd9208bd3d6412fdc7369f38b473b8 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 21:29:33 -0500 Subject: [PATCH 126/145] run synthetic in CI --- .github/workflows/benchmark.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index a7c6d7df3..8ba82198c 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -26,7 +26,8 @@ jobs: [sift, gerrard-hall-100, 15, jpg, wget, colmap-loader, 760, true], [lightglue, gerrard-hall-100, 15, jpg, wget, colmap-loader, 760, true], [sift, south-building-128, 15, jpg, wget, colmap-loader, 760, true], - [lightglue, south-building-128, 15, jpg, wget, colmap-loader, 760, true], + [lightglue, south-building-128, 15, jpg, wget, colmap-loader, 760, true], + [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], ] defaults: run: From 306893b5a8f2603616baf4ae4077dbd41a643bca Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 25 Nov 2023 22:03:51 -0500 Subject: [PATCH 127/145] update retriever to image_pairs_generator --- gtsfm/configs/synthetic_front_end.yaml | 35 +++++++++++++++----------- 1 file changed, 20 insertions(+), 15 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 032ee1ab6..ce27987f1 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -7,21 +7,26 @@ SceneOptimizer: save_3d_viz: True pose_angular_error_thresh: 5 # degrees - # retriever: - # _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever - # max_frame_lookahead: 4 - - # retriever: - # _target_: gtsfm.retriever.netvlad_retriever.NetVLADRetriever - # num_matched: 50 - # min_score: 0.3 - - retriever: - _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever - num_matched: 2 - min_score: 0.2 - max_frame_lookahead: 3 - + image_pairs_generator: + _target_: gtsfm.retriever.image_pairs_generator.ImagePairsGenerator + global_descriptor: + _target_: gtsfm.frontend.cacher.global_descriptor_cacher.GlobalDescriptorCacher + global_descriptor_obj: + _target_: gtsfm.frontend.global_descriptor.netvlad_global_descriptor.NetVLADGlobalDescriptor + retriever: + _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever + num_matched: 2 + min_score: 0.2 + max_frame_lookahead: 3 + + # retriever: + # _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever + # max_frame_lookahead: 4 + + # retriever: + # _target_: gtsfm.retriever.netvlad_retriever.NetVLADRetriever + # num_matched: 50 + # min_score: 0.3 correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator From 5c9e26df98d9a58e7d179a6f2b8a53fef49a478a Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 26 Nov 2023 00:52:25 -0500 Subject: [PATCH 128/145] improve comments --- .../visualization/view_scene_tanks_and_temples.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/gtsfm/visualization/view_scene_tanks_and_temples.py b/gtsfm/visualization/view_scene_tanks_and_temples.py index 749747928..73e193e62 100644 --- a/gtsfm/visualization/view_scene_tanks_and_temples.py +++ b/gtsfm/visualization/view_scene_tanks_and_temples.py @@ -33,7 +33,6 @@ def view_scene(args: argparse.Namespace) -> None: lidar_ply_fpath = data_root / f"{args.scene_name}.ply" colmap_ply_fpath = data_root / f"{args.scene_name}_COLMAP.ply" - # Note: PLY files are not provided here, as they are too large to include as test data (300 MB each). loader = TanksAndTemplesLoader( img_dir=str(img_dir), poses_fpath=str(poses_fpath), @@ -44,14 +43,14 @@ def view_scene(args: argparse.Namespace) -> None: ) # Both are loaded in the COLMAP world coordinate frame. - lidar_pcd = loader.get_lidar_point_cloud(downsample_factor=1000) + lidar_pcd = loader.get_lidar_point_cloud(downsample_factor=1) overlay_point_clouds = False if overlay_point_clouds: red = np.zeros_like(lidar_pcd.colors) red[:, 0] = 1.0 lidar_pcd.colors = open3d.utility.Vector3dVector(red) - colmap_pcd = loader.get_colmap_point_cloud(downsample_factor=100) + colmap_pcd = loader.get_colmap_point_cloud(downsample_factor=1) calibrations = [loader.get_camera_intrinsics_full_res(0)] * len(loader) wTi_list = loader.get_gt_poses() @@ -76,7 +75,7 @@ def view_scene(args: argparse.Namespace) -> None: if visualize_synthetic_correspondences: camera_i1 = loader.get_camera(index=0) img = loader.get_image_full_res(index=0) - + # Project LiDAR point cloud into image 1. pcd = loader.get_lidar_point_cloud(downsample_factor=10) lidar_points = np.asarray(pcd.points) @@ -86,7 +85,7 @@ def view_scene(args: argparse.Namespace) -> None: plt.imshow(img.value_array.astype(np.uint8)) plt.scatter(keypoints_i1[:, 0], keypoints_i1[:, 1], 10, color="r", marker=".", alpha=0.007) plt.show() - + # Project mesh vertices into image 1. mesh = loader.reconstruct_mesh() mesh_points = np.asarray(mesh.vertices) @@ -109,7 +108,10 @@ def _project_points_onto_image(points: np.ndarray, camera: Cal3Bundler) -> np.nd if __name__ == "__main__": parser = argparse.ArgumentParser(description="Visualize Tanks & Temples dataset w/ Open3d.") parser.add_argument( - "--data_root", type=str, default=os.path.join(TEST_DATA_ROOT, "tanks_and_temples_barn"), help="" + "--data_root", + type=str, + default=os.path.join(TEST_DATA_ROOT, "tanks_and_temples_barn"), + help="Path to data for a specific Tanks & Temples scene.", ) parser.add_argument("--scene_name", type=str, default="Barn") parser.add_argument( From c2a3ee67bfb7a3e0f6f6cae32fb7c83543f0036c Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 26 Nov 2023 02:21:27 -0500 Subject: [PATCH 129/145] move algorithm outside of loader --- .../synthetic_correspondence_generator.py | 247 +++++++++++++++++- 1 file changed, 244 insertions(+), 3 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 1e3cb266a..699e8d2a6 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -3,12 +3,16 @@ Authors: John Lambert """ import tempfile -from typing import Dict, List, Tuple +from typing import Dict, List, Optional, Tuple from dask.distributed import Client, Future import numpy as np import open3d +import trimesh +from gtsam import Pose3 +import gtsfm.common.types as gtsfm_types +import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.common.keypoints import Keypoints from gtsfm.common.types import CAMERA_TYPE from gtsfm.frontend.correspondence_generator.correspondence_generator_base import CorrespondenceGeneratorBase @@ -95,8 +99,8 @@ def apply_synthetic_corr_generator( open3d_mesh_fpath: str, points: np.ndarray, ) -> Tuple[Keypoints, Keypoints]: - return loader_.generate_synthetic_correspondences_for_image_pair( - camera_i1, camera_i2, open3d_mesh_fpath, points + return generate_synthetic_correspondences_for_image_pair( + loader, camera_i1, camera_i2, open3d_mesh_fpath, points ) pairwise_correspondence_futures = { @@ -117,3 +121,240 @@ def apply_synthetic_corr_generator( keypoints_list, putative_corr_idxs_dict = self._aggregator.aggregate(keypoints_dict=pairwise_correspondences) return keypoints_list, putative_corr_idxs_dict + + +def generate_synthetic_correspondences( + loader: LoaderBase, + images: List[Future], + image_pairs: List[Tuple[int, int]], + deduplicate: bool = False, + num_sampled_3d_points: int = 2000, +) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: + """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. + + Args: + loader: Dataset loader. + images: List of input images. + image_pairs: Tuples (i1,i2) indicating image indices to use as image pairs. + deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. + num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. + + Returns: + List of keypoints, one entry for each input image. + Putative correspondences as indices of keypoints, for pairs of images. Mapping from image pair + (i1,i2) to delayed task to compute putative correspondence indices. Correspondence indices + are represented by an array of shape (K,2), for K correspondences. + """ + mesh = loader.reconstruct_mesh() + + # Sample random 3d points. This sampling must occur only once, to avoid clusters from repeated sampling. + pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) + pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) + points = np.asarray(pcd.points) + + open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name + open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) + + camera_dict = {} + + aggregator: KeypointAggregatorBase = KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() + keypoints_dict = {} + putative_corr_idxs_dict = {} + + for i1, i2 in image_pairs: + if i1 not in camera_dict: + camera_dict[i1] = loader.get_camera(index=i1) + if i2 not in camera_dict: + camera_dict[i2] = loader.get_camera(index=i2) + # TODO(johnwlambert): Remove assumption that image pair shares the same image shape. + image_height_px, image_width_px, _ = loader.get_image(i1).shape + keypoints_i1, keypoints_i2 = generate_synthetic_correspondences_for_image_pair( + camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], open3d_mesh_fpath=open3d_mesh_path, points=points, + image_height_px=image_height_px, + image_width_px=image_width_px, + ) + num_kpts = len(keypoints_i1) + putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) + keypoints_dict[(i1, i2)] = (keypoints_i1, keypoints_i2) + putative_corr_idxs_dict[(i1, i2)] = putative_corr_idxs + print(f"Number of keypoints in image {i1}: ", len(keypoints_i1)) + # import matplotlib.pyplot as plt + # img = self.get_image_full_res(index=0) + # plt.imshow(img.value_array.astype(np.uint8)) + # plt.scatter(keypoints_i1.coordinates[:,0], keypoints_i1.coordinates[:,1], 10, color='r', marker='.') + # plt.show() + + keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) + return keypoints_list, putative_corr_idxs_dict + +def generate_synthetic_correspondences_for_image_pair( + camera_i1: gtsfm_types.CAMERA_TYPE, + camera_i2: gtsfm_types.CAMERA_TYPE, + open3d_mesh_fpath: str, + points: np.ndarray, + image_height_px: int, + image_width_px: int, +) -> Tuple[Keypoints, Keypoints]: + """Generates synthetic correspondences for image pair. + + Args: + camera_i1: First camera. + camera_i2: Second camera. + open3d_mesh_fpath: Path to saved Open3d mesh. + points: 3d points sampled from mesh surface. + image_height_px: + image_width_px: + + Returns: + Tuple of `Keypoints` objects, one for each image in the input image pair. + """ + mesh = open3d.io.read_triangle_mesh(filename=open3d_mesh_fpath) + trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) + + wTi_list = [camera_i1.pose(), camera_i2.pose()] + calibrations = [camera_i1.calibration(), camera_i2.calibration()] + + keypoints_i1 = [] + keypoints_i2 = [] + + # TODO(johnwlambert): Vectorize this code. On CPU, rays cannot be simultaneously cast against mesh + # due to RAM limitations. + for point in points: + # Try projecting point into each camera. If inside FOV of both and unoccluded by mesh, keep. + uv_i1 = verify_camera_fov_and_occlusion(camera_i1, point, trimesh_mesh, image_height_px, image_width_px) + uv_i2 = verify_camera_fov_and_occlusion(camera_i2, point, trimesh_mesh, image_height_px, image_width_px) + if uv_i1 is not None and uv_i2 is not None: + keypoints_i1.append(uv_i1) + keypoints_i2.append(uv_i2) + + visualize = False + if visualize: + visualize_ray_to_sampled_mesh_point(camera_i1, point, wTi_list, calibrations, mesh) + + keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) + keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) + print(f"Generated {len(keypoints_i1)} keypoints from sampled {points.shape[0]} 3d points.") + return keypoints_i1, keypoints_i2 + + +def visualize_ray_to_sampled_mesh_point( + camera: gtsfm_types.CAMERA_TYPE, + point: np.ndarray, + wTi_list: List[Pose3], + calibrations: List[gtsfm_types.CALIBRATION_TYPE], + mesh: open3d.geometry.TriangleMesh, +) -> None: + """Visualizes ray from camera center to 3d point, along with camera frustum, mesh, and 3d point as ball. + + Args: + camera: Camera to use. + point: 3d point as (3,) array. + wTi_list: All camera poses. + calibrations: Calibration for each camera. + mesh: + """ + frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) + + # Create line segment to represent ray. + cam_center = camera.pose().translation() + ray_dirs = point - camera.pose().translation() + line_set = _make_line_plot(cam_center, cam_center + ray_dirs) + # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) + + # Plot 3d point as red sphere. + point_cloud = np.reshape(point, (1, 3)) + rgb = np.array([255, 0, 0]).reshape(1, 3).astype(np.uint8) + spheres = open3d_vis_utils.create_colored_spheres_open3d(point_cloud, rgb, sphere_radius=0.5) + + # Plot all camera frustums and mesh, with sphere and ray line segment. + open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) + + +def verify_camera_fov_and_occlusion( + camera: gtsfm_types.CAMERA_TYPE, + point: np.ndarray, + trimesh_mesh: trimesh.Trimesh, + image_height_px: int, + image_width_px: int, +) -> Optional[np.ndarray]: + """Verifies point lies within camera FOV and is unoccluded by mesh faces. + + Args: + camera: Camera to use. + point: 3d point as (3,) array. + trimesh_mesh: Trimesh mesh object to raycast against. + image_height_px: + image_width_px: + + Returns: + 2d keypoint as (2,) array. + """ + # Project to camera. + uv_reprojected, success_flag = camera.projectSafe(point) + # Check for projection error in camera. + if not success_flag: + return None + + if ( + (uv_reprojected[0] < 0) + or (uv_reprojected[0] > image_width_px) + or (uv_reprojected[1] < 0) + or (uv_reprojected[1] > image_height_px) + ): + # Outside of synthetic camera's FOV. + return None + + # Cast ray through keypoint back towards scene. + cam_center = camera.pose().translation() + # Choose an arbitrary depth for the ray direction. + ray_dirs = point - camera.pose().translation() + + # Returns the location of where a ray hits a surface mesh. + # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. + # intersections_locations: (M, 3), array of ray intersection locations. + intersections, keypoint_ind, _ = trimesh_mesh.ray.intersects_location( + ray_origins=cam_center.reshape(1, 3), ray_directions=ray_dirs.reshape(1, 3), multiple_hits=False + ) + + if intersections.shape[0] > 1 or intersections.shape[0] == 0: + print(f"Unknown failure: intersections= {intersections} with shape {intersections.shape}") + return None + + # TODO(johnwlambert): Tune this tolerance threshold to allow looser matches. + eps = 0.1 + if not np.linalg.norm(intersections[0] - point) < eps: + # print("Skip occluded: ", intersections[0], ", vs. : ", point) + # There was a closer intersection along the ray than `point`, meaning `point` is occluded by the mesh. + return None + + return uv_reprojected + + +def load_from_trimesh(mesh_path: str) -> trimesh.Trimesh: + """Read in scene mesh as Trimesh object.""" + if not Path(mesh_path).exists(): + raise FileNotFoundError(f"No mesh found at {mesh_path}") + mesh = trimesh.load(mesh_path, process=False, maintain_order=True) + logger.info( + "Tanks & Temples loader read in mesh with %d vertices and %d faces.", + mesh.vertices.shape[0], + mesh.faces.shape[0], + ) + return mesh + + +def _make_line_plot(point1: np.ndarray, point2: np.ndarray) -> open3d.geometry.LineSet: + """ """ + verts_worldfr = np.array([point1, point2]) + lines = [[0, 1]] + # color is in range [0,1] + color = (0, 0, 1) + colors = [color for i in range(len(lines))] + + line_set = open3d.geometry.LineSet( + points=open3d.utility.Vector3dVector(verts_worldfr), + lines=open3d.utility.Vector2iVector(lines), + ) + line_set.colors = open3d.utility.Vector3dVector(colors) + return line_set + From 3ca455904c88e31f93453aa60a9fb1d1f826dec2 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 26 Nov 2023 02:21:43 -0500 Subject: [PATCH 130/145] move algorithm outside of loader --- gtsfm/loader/tanks_and_temples_loader.py | 238 +---------------------- 1 file changed, 3 insertions(+), 235 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index a9a343249..339ae78e3 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -12,11 +12,9 @@ import numpy as np import open3d -import trimesh from gtsam import Cal3Bundler, Rot3, Pose3 from dask.distributed import Future -import gtsfm.common.types as gtsfm_types import gtsfm.utils.geometry_comparisons as geom_comp_utils import gtsfm.utils.io as io_utils import gtsfm.utils.logger as logger_utils @@ -24,13 +22,6 @@ from gtsfm.common.image import Image from gtsfm.common.keypoints import Keypoints from gtsfm.loader.loader_base import LoaderBase -from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_base import KeypointAggregatorBase -from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_dedup import ( - KeypointAggregatorDedup, -) -from gtsfm.frontend.correspondence_generator.keypoint_aggregator.keypoint_aggregator_unique import ( - KeypointAggregatorUnique, -) logger = logger_utils.get_logger() @@ -57,7 +48,7 @@ class MeshReconstructionType(Enum): ALPHA_SHAPE = auto() BALL_PIVOTING = auto() - POISSION_SURFACE = auto() + POISSON_SURFACE = auto() class TanksAndTemplesLoader(LoaderBase): @@ -224,7 +215,7 @@ def get_colmap_point_cloud(self, downsample_factor: int = 1) -> open3d.geometry. Point cloud reconstructed by COLMAP, in the COLMAP world frame. """ if not Path(self.colmap_ply_fpath).exists(): - raise ValueError("") + raise ValueError("Cannot retrieve COLMAP-reconstructed point cloud if `colmap_ply_fpath` not provided.") pcd = open3d.io.read_point_cloud(self.colmap_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) @@ -275,204 +266,10 @@ def reconstruct_mesh( pcd, open3d.utility.DoubleVector(radii) ) - elif reconstruction_algorithm == MeshReconstructionType.POISSION_SURFACE: + elif reconstruction_algorithm == MeshReconstructionType.POISSON_SURFACE: mesh, densities = open3d.geometry.TriangleMesh.create_from_point_cloud_poisson(pcd, depth=9) return mesh - def generate_synthetic_correspondences( - self, - images: List[Future], - image_pairs: List[Tuple[int, int]], - deduplicate: bool = False, - num_sampled_3d_points: int = 2000, - ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: - """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. - - Args: - images: List of input images. - image_pairs: Tuples (i1,i2) indicating image indices to use as image pairs. - deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. - num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. - - Returns: - List of keypoints, one entry for each input image. - Putative correspondences as indices of keypoints, for pairs of images. Mapping from image pair - (i1,i2) to delayed task to compute putative correspondence indices. Correspondence indices - are represented by an array of shape (K,2), for K correspondences. - """ - mesh = self.reconstruct_mesh() - - # Sample random 3d points. This sampling must occur only once, to avoid clusters from repeated sampling. - pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) - pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) - points = np.asarray(pcd.points) - - open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name - open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) - - camera_dict = {} - - aggregator: KeypointAggregatorBase = KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() - keypoints_dict = {} - putative_corr_idxs_dict = {} - - for i1, i2 in image_pairs: - if i1 not in camera_dict: - camera_dict[i1] = self.get_camera(index=i1) - if i2 not in camera_dict: - camera_dict[i2] = self.get_camera(index=i2) - keypoints_i1, keypoints_i2 = self.generate_synthetic_correspondences_for_image_pair( - camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], open3d_mesh_fpath=open3d_mesh_path, points=points - ) - num_kpts = len(keypoints_i1) - putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) - keypoints_dict[(i1, i2)] = (keypoints_i1, keypoints_i2) - putative_corr_idxs_dict[(i1, i2)] = putative_corr_idxs - print(f"Number of keypoints in image {i1}: ", len(keypoints_i1)) - # import matplotlib.pyplot as plt - # img = self.get_image_full_res(index=0) - # plt.imshow(img.value_array.astype(np.uint8)) - # plt.scatter(keypoints_i1.coordinates[:,0], keypoints_i1.coordinates[:,1], 10, color='r', marker='.') - # plt.show() - - keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) - return keypoints_list, putative_corr_idxs_dict - - def generate_synthetic_correspondences_for_image_pair( - self, - camera_i1: gtsfm_types.CAMERA_TYPE, - camera_i2: gtsfm_types.CAMERA_TYPE, - open3d_mesh_fpath: str, - points: np.ndarray, - ) -> Tuple[Keypoints, Keypoints]: - """Generates synthetic correspondences for image pair. - - Args: - camera_i1: First camera. - camera_i2: Second camera. - open3d_mesh_fpath: Path to saved Open3d mesh. - points: 3d points sampled from mesh surface. - - Returns: - Tuple of `Keypoints` objects, one for each image in the input image pair. - """ - mesh = open3d.io.read_triangle_mesh(filename=open3d_mesh_fpath) - trimesh_mesh = load_from_trimesh(open3d_mesh_fpath) - - wTi_list = [camera_i1.pose(), camera_i2.pose()] - calibrations = [camera_i1.calibration(), camera_i2.calibration()] - - keypoints_i1 = [] - keypoints_i2 = [] - - # TODO(johnwlambert): Vectorize this code. On CPU, rays cannot be simultaneously cast against mesh - # due to RAM limitations. - for point in points: - # Try projecting point into each camera. If inside FOV of both and unoccluded by mesh, keep. - uv_i1 = verify_camera_fov_and_occlusion(camera_i1, point, trimesh_mesh) - uv_i2 = verify_camera_fov_and_occlusion(camera_i2, point, trimesh_mesh) - if uv_i1 is not None and uv_i2 is not None: - keypoints_i1.append(uv_i1) - keypoints_i2.append(uv_i2) - - visualize = False - if visualize: - visualize_ray_to_sampled_mesh_point(camera_i1, point, wTi_list, calibrations, mesh) - - keypoints_i1 = Keypoints(coordinates=np.array(keypoints_i1)) - keypoints_i2 = Keypoints(coordinates=np.array(keypoints_i2)) - print(f"Generated {len(keypoints_i1)} keypoints from sampled {points.shape[0]} 3d points.") - return keypoints_i1, keypoints_i2 - - -def visualize_ray_to_sampled_mesh_point( - camera: gtsfm_types.CAMERA_TYPE, - point: np.ndarray, - wTi_list: List[Pose3], - calibrations: List[gtsfm_types.CALIBRATION_TYPE], - mesh: open3d.geometry.TriangleMesh, -) -> None: - """Visualizes ray from camera center to 3d point, along with camera frustum, mesh, and 3d point as ball. - - Args: - camera: Camera to use. - point: 3d point as (3,) array. - wTi_list: All camera poses. - calibrations: Calibration for each camera. - mesh: - """ - frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) - - # Create line segment to represent ray. - cam_center = camera.pose().translation() - ray_dirs = point - camera.pose().translation() - line_set = _make_line_plot(cam_center, cam_center + ray_dirs) - # line_set = _make_line_plot(cam_center, camera.backproject(uv_reprojected, depth=1.0)) - - # Plot 3d point as red sphere. - point_cloud = np.reshape(point, (1, 3)) - rgb = np.array([255, 0, 0]).reshape(1, 3).astype(np.uint8) - spheres = open3d_vis_utils.create_colored_spheres_open3d(point_cloud, rgb, sphere_radius=0.5) - - # Plot all camera frustums and mesh, with sphere and ray line segment. - open3d.visualization.draw_geometries([mesh] + frustums + spheres + [line_set]) - - -def verify_camera_fov_and_occlusion( - camera: gtsfm_types.CAMERA_TYPE, - point: np.ndarray, - trimesh_mesh: trimesh.Trimesh, -) -> Optional[np.ndarray]: - """Verifies point lies within camera FOV and is unoccluded by mesh faces. - - Args: - camera: Camera to use. - point: 3d point as (3,) array. - trimesh_mesh: Trimesh mesh object to raycast against. - - Returns: - 2d keypoint as (2,) array. - """ - # Project to camera. - uv_reprojected, success_flag = camera.projectSafe(point) - # Check for projection error in camera. - if not success_flag: - return None - - if ( - (uv_reprojected[0] < 0) - or (uv_reprojected[0] > _DEFAULT_IMAGE_WIDTH_PX) - or (uv_reprojected[1] < 0) - or (uv_reprojected[1] > _DEFAULT_IMAGE_HEIGHT_PX) - ): - # Outside of synthetic camera's FOV. - return None - - # Cast ray through keypoint back towards scene. - cam_center = camera.pose().translation() - # Choose an arbitrary depth for the ray direction. - ray_dirs = point - camera.pose().translation() - - # Returns the location of where a ray hits a surface mesh. - # keypoint_ind: (M,) array of keypoint indices whose corresponding ray intersected the ground truth mesh. - # intersections_locations: (M, 3), array of ray intersection locations. - intersections, keypoint_ind, _ = trimesh_mesh.ray.intersects_location( - ray_origins=cam_center.reshape(1, 3), ray_directions=ray_dirs.reshape(1, 3), multiple_hits=False - ) - - if intersections.shape[0] > 1 or intersections.shape[0] == 0: - print(f"Unknown failure: intersections= {intersections} with shape {intersections.shape}") - return None - - # TODO(johnwlambert): Tune this tolerance threshold to allow looser matches. - eps = 0.1 - if not np.linalg.norm(intersections[0] - point) < eps: - # print("Skip occluded: ", intersections[0], ", vs. : ", point) - # There was a closer intersection along the ray than `point`, meaning `point` is occluded by the mesh. - return None - - return uv_reprojected - def crop_points_to_bounding_polyhedron(pcd: open3d.geometry.PointCloud, json_fpath: str) -> open3d.geometry.PointCloud: """Crops a point cloud according to JSON-specified polyhedron crop bounds. @@ -528,35 +325,6 @@ def _parse_redwood_data_log_file(log_fpath: str) -> Dict[int, Pose3]: return wTi_gt_dict -def _make_line_plot(point1: np.ndarray, point2: np.ndarray) -> open3d.geometry.LineSet: - """ """ - verts_worldfr = np.array([point1, point2]) - lines = [[0, 1]] - # color is in range [0,1] - color = (0, 0, 1) - colors = [color for i in range(len(lines))] - - line_set = open3d.geometry.LineSet( - points=open3d.utility.Vector3dVector(verts_worldfr), - lines=open3d.utility.Vector2iVector(lines), - ) - line_set.colors = open3d.utility.Vector3dVector(colors) - return line_set - - -def load_from_trimesh(mesh_path: str) -> trimesh.Trimesh: - """Read in scene mesh as Trimesh object.""" - if not Path(mesh_path).exists(): - raise FileNotFoundError(f"No mesh found at {mesh_path}") - mesh = trimesh.load(mesh_path, process=False, maintain_order=True) - logger.info( - "Tanks & Temples loader read in mesh with %d vertices and %d faces.", - mesh.vertices.shape[0], - mesh.faces.shape[0], - ) - return mesh - - def _create_Sim3_from_tt_dataset_alignment_transform(lidar_Sim3_colmap: np.ndarray) -> np.ndarray: """Create member of Sim(3) matrix group given Tanks & Temples dataset alignment transform. From 6e6b6912b4542393d0abce9a176f0e7fe03f5f33 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 26 Nov 2023 02:26:02 -0500 Subject: [PATCH 131/145] fix flake8 --- gtsfm/loader/tanks_and_temples_loader.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 339ae78e3..75ac74ba0 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -5,22 +5,19 @@ Author: John Lambert """ -import tempfile from enum import auto, Enum from pathlib import Path -from typing import Dict, List, Optional, Tuple +from typing import Dict, List, Optional import numpy as np import open3d from gtsam import Cal3Bundler, Rot3, Pose3 -from dask.distributed import Future import gtsfm.utils.geometry_comparisons as geom_comp_utils import gtsfm.utils.io as io_utils import gtsfm.utils.logger as logger_utils import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.common.image import Image -from gtsfm.common.keypoints import Keypoints from gtsfm.loader.loader_base import LoaderBase From 032606a76bc6e10013c70e9393e8de66b8c5f767 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 26 Nov 2023 02:26:14 -0500 Subject: [PATCH 132/145] fix flake8 --- .../synthetic_correspondence_generator.py | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 699e8d2a6..4b6eefd2a 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -3,6 +3,7 @@ Authors: John Lambert """ import tempfile +from pathlib import Path from typing import Dict, List, Optional, Tuple from dask.distributed import Client, Future @@ -12,6 +13,7 @@ from gtsam import Pose3 import gtsfm.common.types as gtsfm_types +import gtsfm.utils.logger as logger_utils import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils from gtsfm.common.keypoints import Keypoints from gtsfm.common.types import CAMERA_TYPE @@ -27,6 +29,9 @@ from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader +logger = logger_utils.get_logger() + + class SyntheticCorrespondenceGenerator(CorrespondenceGeneratorBase): """Pair-wise synthetic keypoint correspondence generator.""" @@ -187,6 +192,7 @@ def generate_synthetic_correspondences( keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) return keypoints_list, putative_corr_idxs_dict + def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, From 5448dee41cdd1f7eb713a0e9c3bae270f5542d8b Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 26 Nov 2023 21:01:46 -0500 Subject: [PATCH 133/145] fix docs and missing arg --- .../synthetic_correspondence_generator.py | 36 ++++++++++++------- 1 file changed, 24 insertions(+), 12 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 4b6eefd2a..1ed267378 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -55,12 +55,13 @@ def generate_correspondences( image_pairs: List[Tuple[int, int]], num_sampled_3d_points: int = 500, ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: - """Apply the correspondence generator to generate putative correspondences. + """Apply the correspondence generator to generate putative correspondences (in parallel). Args: client: Dask client, used to execute the front-end as futures. images: List of all images, as futures. image_pairs: Indices of the pairs of images to estimate two-view pose and correspondences. + num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. Returns: List of keypoints, with one entry for each input image. @@ -97,6 +98,9 @@ def generate_correspondences( loader_future = client.scatter(loader, broadcast=False) + # TODO(johnwlambert): Remove assumption that image pair shares the same image shape. + image_height_px, image_width_px, _ = loader.get_image(0).shape + def apply_synthetic_corr_generator( loader_: LoaderBase, camera_i1: CAMERA_TYPE, @@ -105,7 +109,13 @@ def apply_synthetic_corr_generator( points: np.ndarray, ) -> Tuple[Keypoints, Keypoints]: return generate_synthetic_correspondences_for_image_pair( - loader, camera_i1, camera_i2, open3d_mesh_fpath, points + loader, + camera_i1, + camera_i2, + open3d_mesh_fpath, + points, + image_height_px=image_height_px, + image_width_px=image_width_px, ) pairwise_correspondence_futures = { @@ -135,7 +145,7 @@ def generate_synthetic_correspondences( deduplicate: bool = False, num_sampled_3d_points: int = 2000, ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: - """Generates synthetic correspondences from virtual cameras and a ground-truth mesh. + """Generates synthetic correspondences from virtual cameras and a ground-truth mesh (in a single process). Args: loader: Dataset loader. @@ -174,7 +184,10 @@ def generate_synthetic_correspondences( # TODO(johnwlambert): Remove assumption that image pair shares the same image shape. image_height_px, image_width_px, _ = loader.get_image(i1).shape keypoints_i1, keypoints_i2 = generate_synthetic_correspondences_for_image_pair( - camera_i1=camera_dict[i1], camera_i2=camera_dict[i2], open3d_mesh_fpath=open3d_mesh_path, points=points, + camera_i1=camera_dict[i1], + camera_i2=camera_dict[i2], + open3d_mesh_fpath=open3d_mesh_path, + points=points, image_height_px=image_height_px, image_width_px=image_width_px, ) @@ -208,8 +221,8 @@ def generate_synthetic_correspondences_for_image_pair( camera_i2: Second camera. open3d_mesh_fpath: Path to saved Open3d mesh. points: 3d points sampled from mesh surface. - image_height_px: - image_width_px: + image_height_px: Image height, in pixels. + image_width_px: Image width, in pixels. Returns: Tuple of `Keypoints` objects, one for each image in the input image pair. @@ -257,7 +270,7 @@ def visualize_ray_to_sampled_mesh_point( point: 3d point as (3,) array. wTi_list: All camera poses. calibrations: Calibration for each camera. - mesh: + mesh: 3d surface mesh. """ frustums = open3d_vis_utils.create_all_frustums_open3d(wTi_list, calibrations, frustum_ray_len=0.3) @@ -289,8 +302,8 @@ def verify_camera_fov_and_occlusion( camera: Camera to use. point: 3d point as (3,) array. trimesh_mesh: Trimesh mesh object to raycast against. - image_height_px: - image_width_px: + image_height_px: Image height, in pixels. + image_width_px: Image width, in pixels. Returns: 2d keypoint as (2,) array. @@ -350,10 +363,10 @@ def load_from_trimesh(mesh_path: str) -> trimesh.Trimesh: def _make_line_plot(point1: np.ndarray, point2: np.ndarray) -> open3d.geometry.LineSet: - """ """ + """Plot a line segment from `point1` to `point2` using Open3D.""" verts_worldfr = np.array([point1, point2]) lines = [[0, 1]] - # color is in range [0,1] + # Color is in range [0,1] color = (0, 0, 1) colors = [color for i in range(len(lines))] @@ -363,4 +376,3 @@ def _make_line_plot(point1: np.ndarray, point2: np.ndarray) -> open3d.geometry.L ) line_set.colors = open3d.utility.Vector3dVector(colors) return line_set - From a8b6532d7e5e793d1466a133e6a5b55654da8932 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sun, 26 Nov 2023 21:02:00 -0500 Subject: [PATCH 134/145] add todo --- gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py | 1 + 1 file changed, 1 insertion(+) diff --git a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py index 8cba89f01..bd647d4b3 100644 --- a/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py +++ b/gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py @@ -16,6 +16,7 @@ _TANKS_AND_TEMPLES_RESOLUTION_PX = 1080 +# TODO(johnwlambert,travisdriver): Make this generic for any dataset with a GT mesh. class GtsfmRunnerSyntheticTanksAndTemplesLoader(GtsfmRunnerBase): tag = "GTSFM with LiDAR scans, COLMAP camera poses, and image names stored in Tanks and Temples format" From bc16d0d67fc48c92d3cbfb882b084dbad5c9bfea Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Mon, 27 Nov 2023 00:00:08 -0500 Subject: [PATCH 135/145] fix --- .../synthetic_correspondence_generator.py | 1 - 1 file changed, 1 deletion(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 1ed267378..b26cf00c4 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -109,7 +109,6 @@ def apply_synthetic_corr_generator( points: np.ndarray, ) -> Tuple[Keypoints, Keypoints]: return generate_synthetic_correspondences_for_image_pair( - loader, camera_i1, camera_i2, open3d_mesh_fpath, From 71959563bbbdc4167d436bea7a52c8c3af40d7c7 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 28 Nov 2023 00:48:44 -0500 Subject: [PATCH 136/145] sequential retriever --- gtsfm/configs/synthetic_front_end.yaml | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index ce27987f1..2bf355200 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -13,15 +13,15 @@ SceneOptimizer: _target_: gtsfm.frontend.cacher.global_descriptor_cacher.GlobalDescriptorCacher global_descriptor_obj: _target_: gtsfm.frontend.global_descriptor.netvlad_global_descriptor.NetVLADGlobalDescriptor - retriever: - _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever - num_matched: 2 - min_score: 0.2 - max_frame_lookahead: 3 - # retriever: - # _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever - # max_frame_lookahead: 4 + # _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever + # num_matched: 2 + # min_score: 0.2 + # max_frame_lookahead: 3 + + retriever: + _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever + max_frame_lookahead: 4 # retriever: # _target_: gtsfm.retriever.netvlad_retriever.NetVLADRetriever From 6e97ff651af19dd01db4bedd2679d32a1f4942b2 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 28 Nov 2023 22:47:58 -0500 Subject: [PATCH 137/145] improve ValueError message --- gtsfm/loader/tanks_and_temples_loader.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/loader/tanks_and_temples_loader.py b/gtsfm/loader/tanks_and_temples_loader.py index 75ac74ba0..9f36e57fa 100644 --- a/gtsfm/loader/tanks_and_temples_loader.py +++ b/gtsfm/loader/tanks_and_temples_loader.py @@ -188,7 +188,7 @@ def get_lidar_point_cloud(self, downsample_factor: int = 10) -> open3d.geometry. Point cloud captured by laser scanner, in the COLMAP world frame. """ if not Path(self.lidar_ply_fpath).exists(): - raise ValueError("") + raise ValueError("Cannot retrieve LiDAR scanned point cloud if `lidar_ply_fpath` not provided.") pcd = open3d.io.read_point_cloud(self.lidar_ply_fpath) points, rgb = open3d_vis_utils.convert_colored_open3d_point_cloud_to_numpy(pointcloud=pcd) From 4abf1363e141122293adc774225e326af55f444a Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Tue, 28 Nov 2023 22:48:45 -0500 Subject: [PATCH 138/145] update to not use netvlad in synthetic front end --- gtsfm/configs/synthetic_front_end.yaml | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index 2bf355200..a4c8abb38 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -9,10 +9,10 @@ SceneOptimizer: image_pairs_generator: _target_: gtsfm.retriever.image_pairs_generator.ImagePairsGenerator - global_descriptor: - _target_: gtsfm.frontend.cacher.global_descriptor_cacher.GlobalDescriptorCacher - global_descriptor_obj: - _target_: gtsfm.frontend.global_descriptor.netvlad_global_descriptor.NetVLADGlobalDescriptor + # global_descriptor: + # _target_: gtsfm.frontend.cacher.global_descriptor_cacher.GlobalDescriptorCacher + # global_descriptor_obj: + # _target_: gtsfm.frontend.global_descriptor.netvlad_global_descriptor.NetVLADGlobalDescriptor # retriever: # _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever # num_matched: 2 @@ -30,7 +30,7 @@ SceneOptimizer: correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator - #dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 + # dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 #dataset_root: /usr/local/gtsfm-data/Tanks_and_Temples_Barn_410 dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 # Path for CI. scene_name: Barn From 395ff3e684122641a753f2bddcc7f9ab18bd74b1 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 2 Dec 2023 02:03:00 -0500 Subject: [PATCH 139/145] remove synthetic tanks and temples from the CI --- .github/scripts/download_single_benchmark.sh | 7 ------- .github/scripts/execute_single_benchmark.sh | 8 -------- .github/scripts/execute_single_benchmark_self_hosted.sh | 1 - .github/workflows/benchmark.yml | 1 - 4 files changed, 17 deletions(-) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index 14d8a9d22..8bc3f6a61 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -67,11 +67,6 @@ function download_and_unzip_dataset_files { WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/gerrard-hall-100/gerrard-hall-100.zip ZIP_FNAME=gerrard-hall-100.zip - elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then - # Tanks and Temples Dataset, "Barn" scene. - WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/tanks-and-temples-barn/Tanks_and_Temples_Barn_410.zip - ZIP_FNAME=Tanks_and_Temples_Barn_410.zip - elif [ "$DATASET_NAME" == "south-building-128" ]; then WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/south-building-128/south-building-128.zip ZIP_FNAME=south-building-128.zip @@ -146,8 +141,6 @@ function download_and_unzip_dataset_files { elif [ "$DATASET_NAME" == "south-building-128" ]; then unzip south-building-128.zip - elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then - unzip -qq Tanks_and_Temples_Barn_410.zip fi } diff --git a/.github/scripts/execute_single_benchmark.sh b/.github/scripts/execute_single_benchmark.sh index d94cd5894..9284f5679 100755 --- a/.github/scripts/execute_single_benchmark.sh +++ b/.github/scripts/execute_single_benchmark.sh @@ -29,9 +29,6 @@ elif [ "$DATASET_NAME" == "notre-dame-20" ]; then elif [ "$DATASET_NAME" == "gerrard-hall-100" ]; then IMAGES_DIR=gerrard-hall-100/images COLMAP_FILES_DIRPATH=gerrard-hall-100/colmap-3.7-sparse-txt-2023-07-27 -elif [ "$DATASET_NAME" == "tanks-and-temples-barn-410" ]; then - DATASET_ROOT="Tanks_and_Temples_Barn_410" - SCENE_NAME="Barn" elif [ "$DATASET_NAME" == "south-building-128" ]; then IMAGES_DIR=south-building-128/images #COLMAP_FILES_DIRPATH=south-building-128/colmap-official-2016-10-05 @@ -81,9 +78,4 @@ elif [ "$LOADER_NAME" == "astrovision" ]; then ${SHARE_INTRINSICS_ARG} \ --mvs_off -elif [ "$LOADER_NAME" == "tanks-and-temples" ]; then - python gtsfm/runner/run_scene_optimizer_synthetic_tanks_and_temples.py \ - --config_name ${CONFIG_NAME}.yaml \ - --dataset_root $DATASET_ROOT \ - --scene_name $SCENE_NAME fi diff --git a/.github/scripts/execute_single_benchmark_self_hosted.sh b/.github/scripts/execute_single_benchmark_self_hosted.sh index 47eb92337..964792868 100755 --- a/.github/scripts/execute_single_benchmark_self_hosted.sh +++ b/.github/scripts/execute_single_benchmark_self_hosted.sh @@ -58,5 +58,4 @@ elif [ "$LOADER_NAME" == "astrovision" ]; then --max_frame_lookahead $MAX_FRAME_LOOKAHEAD \ --max_resolution ${MAX_RESOLUTION} \ ${SHARE_INTRINSICS_ARG} - fi diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index 8ba82198c..11cdd9a75 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -27,7 +27,6 @@ jobs: [lightglue, gerrard-hall-100, 15, jpg, wget, colmap-loader, 760, true], [sift, south-building-128, 15, jpg, wget, colmap-loader, 760, true], [lightglue, south-building-128, 15, jpg, wget, colmap-loader, 760, true], - [synthetic_front_end, tanks-and-temples-barn-410, 4, jpg, wget, tanks-and-temples, 1080, true], ] defaults: run: From f3f89267b48b78ba3569892926b2fe7c03206002 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 2 Dec 2023 02:27:09 -0500 Subject: [PATCH 140/145] revert CI files --- .github/scripts/download_single_benchmark.sh | 1 - .github/scripts/execute_single_benchmark.sh | 1 - .github/workflows/benchmark.yml | 2 +- 3 files changed, 1 insertion(+), 3 deletions(-) diff --git a/.github/scripts/download_single_benchmark.sh b/.github/scripts/download_single_benchmark.sh index 8bc3f6a61..53a26c2b5 100755 --- a/.github/scripts/download_single_benchmark.sh +++ b/.github/scripts/download_single_benchmark.sh @@ -70,7 +70,6 @@ function download_and_unzip_dataset_files { elif [ "$DATASET_NAME" == "south-building-128" ]; then WGET_URL1=https://github.com/johnwlambert/gtsfm-datasets-mirror/releases/download/south-building-128/south-building-128.zip ZIP_FNAME=south-building-128.zip - fi # Download the data. diff --git a/.github/scripts/execute_single_benchmark.sh b/.github/scripts/execute_single_benchmark.sh index 9284f5679..e11c2f31a 100755 --- a/.github/scripts/execute_single_benchmark.sh +++ b/.github/scripts/execute_single_benchmark.sh @@ -77,5 +77,4 @@ elif [ "$LOADER_NAME" == "astrovision" ]; then --max_resolution ${MAX_RESOLUTION} \ ${SHARE_INTRINSICS_ARG} \ --mvs_off - fi diff --git a/.github/workflows/benchmark.yml b/.github/workflows/benchmark.yml index 11cdd9a75..a7c6d7df3 100644 --- a/.github/workflows/benchmark.yml +++ b/.github/workflows/benchmark.yml @@ -26,7 +26,7 @@ jobs: [sift, gerrard-hall-100, 15, jpg, wget, colmap-loader, 760, true], [lightglue, gerrard-hall-100, 15, jpg, wget, colmap-loader, 760, true], [sift, south-building-128, 15, jpg, wget, colmap-loader, 760, true], - [lightglue, south-building-128, 15, jpg, wget, colmap-loader, 760, true], + [lightglue, south-building-128, 15, jpg, wget, colmap-loader, 760, true], ] defaults: run: From c3a9b57a01744e833a3c895da292304272f01528 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 2 Dec 2023 21:52:22 -0500 Subject: [PATCH 141/145] clean up dead code --- .../synthetic_correspondence_generator.py | 5 ----- 1 file changed, 5 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index b26cf00c4..b83cb4914 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -195,11 +195,6 @@ def generate_synthetic_correspondences( keypoints_dict[(i1, i2)] = (keypoints_i1, keypoints_i2) putative_corr_idxs_dict[(i1, i2)] = putative_corr_idxs print(f"Number of keypoints in image {i1}: ", len(keypoints_i1)) - # import matplotlib.pyplot as plt - # img = self.get_image_full_res(index=0) - # plt.imshow(img.value_array.astype(np.uint8)) - # plt.scatter(keypoints_i1.coordinates[:,0], keypoints_i1.coordinates[:,1], 10, color='r', marker='.') - # plt.show() keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) return keypoints_list, putative_corr_idxs_dict From 4afbfa551fff571f321b3da528a056ce2fa9500d Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 2 Dec 2023 22:42:05 -0500 Subject: [PATCH 142/145] remove unncessary function --- .../synthetic_correspondence_generator.py | 65 +------------------ .../view_scene_tanks_and_temples.py | 47 ++++++++++++-- 2 files changed, 42 insertions(+), 70 deletions(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index b83cb4914..17d599f60 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -92,7 +92,7 @@ def generate_correspondences( pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) sampled_points = np.asarray(pcd.points) - # TODO(jolambert): File Open3d bug to add pickle support for TriangleMesh. + # TODO(johnwlambert): File Open3d bug to add pickle support for TriangleMesh. open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) @@ -137,69 +137,6 @@ def apply_synthetic_corr_generator( return keypoints_list, putative_corr_idxs_dict -def generate_synthetic_correspondences( - loader: LoaderBase, - images: List[Future], - image_pairs: List[Tuple[int, int]], - deduplicate: bool = False, - num_sampled_3d_points: int = 2000, -) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: - """Generates synthetic correspondences from virtual cameras and a ground-truth mesh (in a single process). - - Args: - loader: Dataset loader. - images: List of input images. - image_pairs: Tuples (i1,i2) indicating image indices to use as image pairs. - deduplicate: Whether to de-duplicate with a single image the detections received from each image pair. - num_sampled_3d_points: Number of 3d points to sample from the mesh surface and to project. - - Returns: - List of keypoints, one entry for each input image. - Putative correspondences as indices of keypoints, for pairs of images. Mapping from image pair - (i1,i2) to delayed task to compute putative correspondence indices. Correspondence indices - are represented by an array of shape (K,2), for K correspondences. - """ - mesh = loader.reconstruct_mesh() - - # Sample random 3d points. This sampling must occur only once, to avoid clusters from repeated sampling. - pcd = mesh.sample_points_uniformly(number_of_points=num_sampled_3d_points) - pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) - points = np.asarray(pcd.points) - - open3d_mesh_path = tempfile.NamedTemporaryFile(suffix=".obj").name - open3d.io.write_triangle_mesh(filename=open3d_mesh_path, mesh=mesh) - - camera_dict = {} - - aggregator: KeypointAggregatorBase = KeypointAggregatorDedup() if deduplicate else KeypointAggregatorUnique() - keypoints_dict = {} - putative_corr_idxs_dict = {} - - for i1, i2 in image_pairs: - if i1 not in camera_dict: - camera_dict[i1] = loader.get_camera(index=i1) - if i2 not in camera_dict: - camera_dict[i2] = loader.get_camera(index=i2) - # TODO(johnwlambert): Remove assumption that image pair shares the same image shape. - image_height_px, image_width_px, _ = loader.get_image(i1).shape - keypoints_i1, keypoints_i2 = generate_synthetic_correspondences_for_image_pair( - camera_i1=camera_dict[i1], - camera_i2=camera_dict[i2], - open3d_mesh_fpath=open3d_mesh_path, - points=points, - image_height_px=image_height_px, - image_width_px=image_width_px, - ) - num_kpts = len(keypoints_i1) - putative_corr_idxs = np.stack([np.arange(num_kpts), np.arange(num_kpts)], axis=-1) - keypoints_dict[(i1, i2)] = (keypoints_i1, keypoints_i2) - putative_corr_idxs_dict[(i1, i2)] = putative_corr_idxs - print(f"Number of keypoints in image {i1}: ", len(keypoints_i1)) - - keypoints_list, putative_corr_idxs_dict = aggregator.aggregate(keypoints_dict=keypoints_dict) - return keypoints_list, putative_corr_idxs_dict - - def generate_synthetic_correspondences_for_image_pair( camera_i1: gtsfm_types.CAMERA_TYPE, camera_i2: gtsfm_types.CAMERA_TYPE, diff --git a/gtsfm/visualization/view_scene_tanks_and_temples.py b/gtsfm/visualization/view_scene_tanks_and_temples.py index 73e193e62..9eea1cd49 100644 --- a/gtsfm/visualization/view_scene_tanks_and_temples.py +++ b/gtsfm/visualization/view_scene_tanks_and_temples.py @@ -11,10 +11,15 @@ import numpy as np import open3d from gtsam import Cal3Bundler +from dask.distributed import Client, LocalCluster import gtsfm.visualization.open3d_vis_utils as open3d_vis_utils +from gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator import SyntheticCorrespondenceGenerator from gtsfm.loader.tanks_and_temples_loader import TanksAndTemplesLoader +import gtsfm.utils.viz as correspondence_viz_utils + + TEST_DATA_ROOT = Path(__file__).resolve().parent.parent.parent / "tests" / "data" @@ -71,10 +76,11 @@ def view_scene(args: argparse.Namespace) -> None: # pcd = mesh.sample_points_poisson_disk(number_of_points=num_sampled_3d_points, pcl=pcd) open3d.visualization.draw_geometries([pcd]) - visualize_synthetic_correspondences = True - if visualize_synthetic_correspondences: - camera_i1 = loader.get_camera(index=0) - img = loader.get_image_full_res(index=0) + visualize_projected_points = False + if visualize_projected_points: + i1 = 0 + camera_i1 = loader.get_camera(index=i1) + img_i1 = loader.get_image_full_res(index=i1) # Project LiDAR point cloud into image 1. pcd = loader.get_lidar_point_cloud(downsample_factor=10) @@ -82,7 +88,7 @@ def view_scene(args: argparse.Namespace) -> None: keypoints_i1 = _project_points_onto_image(lidar_points, camera_i1) # Plot projected LiDAR points. - plt.imshow(img.value_array.astype(np.uint8)) + plt.imshow(img_i1.value_array.astype(np.uint8)) plt.scatter(keypoints_i1[:, 0], keypoints_i1[:, 1], 10, color="r", marker=".", alpha=0.007) plt.show() @@ -91,10 +97,39 @@ def view_scene(args: argparse.Namespace) -> None: mesh_points = np.asarray(mesh.vertices) keypoints_i1_ = _project_points_onto_image(mesh_points, camera_i1) # Plot projected mesh points. - plt.imshow(img.value_array.astype(np.uint8)) + plt.imshow(img_i1.value_array.astype(np.uint8)) plt.scatter(keypoints_i1_[:, 0], keypoints_i1_[:, 1], 10, color="g", marker=".", alpha=0.007) plt.show() + visualize_synthetic_correspondences = True + if visualize_synthetic_correspondences: + cluster = LocalCluster(n_workers=1, threads_per_worker=1) + client = Client(cluster) + + i1 = 0 + i2 = 4 + + synthetic_generator = SyntheticCorrespondenceGenerator(args.data_root, args.scene_name) + images = [loader.get_image_full_res(index=i) for i in range(i2+1)] + keypoints_list, corr_idx_dict = synthetic_generator.generate_correspondences( + client=client, + images=images, + image_pairs=[[i1,i2]], + num_sampled_3d_points=500, + ) + + plot_img = correspondence_viz_utils.plot_twoview_correspondences( + images[i1], + images[i2], + keypoints_list[i1], + keypoints_list[i2], + corr_idx_dict[(i1,i2)], + inlier_mask=np.ones(len(corr_idx_dict[(i1,i2)]), dtype=bool) + ) + plt.imshow(plot_img.value_array) + plt.axis('off') + plt.show() + def _project_points_onto_image(points: np.ndarray, camera: Cal3Bundler) -> np.ndarray: """Returns (N,2) array of keypoint coordinates.""" From 4850f1f322a551d1cfd2ac0edf5c8932e0020261 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 2 Dec 2023 22:46:17 -0500 Subject: [PATCH 143/145] clean up config --- gtsfm/configs/synthetic_front_end.yaml | 31 +++++++++----------------- 1 file changed, 11 insertions(+), 20 deletions(-) diff --git a/gtsfm/configs/synthetic_front_end.yaml b/gtsfm/configs/synthetic_front_end.yaml index a4c8abb38..ff2e50f2f 100644 --- a/gtsfm/configs/synthetic_front_end.yaml +++ b/gtsfm/configs/synthetic_front_end.yaml @@ -9,30 +9,21 @@ SceneOptimizer: image_pairs_generator: _target_: gtsfm.retriever.image_pairs_generator.ImagePairsGenerator - # global_descriptor: - # _target_: gtsfm.frontend.cacher.global_descriptor_cacher.GlobalDescriptorCacher - # global_descriptor_obj: - # _target_: gtsfm.frontend.global_descriptor.netvlad_global_descriptor.NetVLADGlobalDescriptor - # retriever: - # _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever - # num_matched: 2 - # min_score: 0.2 - # max_frame_lookahead: 3 - + global_descriptor: + _target_: gtsfm.frontend.cacher.global_descriptor_cacher.GlobalDescriptorCacher + global_descriptor_obj: + _target_: gtsfm.frontend.global_descriptor.netvlad_global_descriptor.NetVLADGlobalDescriptor + + # NOTE: May not converge with SequentialRetriever only. retriever: - _target_: gtsfm.retriever.sequential_retriever.SequentialRetriever - max_frame_lookahead: 4 - - # retriever: - # _target_: gtsfm.retriever.netvlad_retriever.NetVLADRetriever - # num_matched: 50 - # min_score: 0.3 + _target_: gtsfm.retriever.joint_netvlad_sequential_retriever.JointNetVLADSequentialRetriever + num_matched: 2 + min_score: 0.2 + max_frame_lookahead: 3 correspondence_generator: _target_: gtsfm.frontend.correspondence_generator.synthetic_correspondence_generator.SyntheticCorrespondenceGenerator - # dataset_root: /Users/johnlambert/Downloads/Tanks_and_Temples_Barn_410 - #dataset_root: /usr/local/gtsfm-data/Tanks_and_Temples_Barn_410 - dataset_root: /home/runner/work/gtsfm/gtsfm/Tanks_and_Temples_Barn_410 # Path for CI. + dataset_root: /usr/local/gtsfm-data/Tanks_and_Temples_Barn_410 scene_name: Barn two_view_estimator: From 6ae33aebd0a17b40fe7bf962038bdce67d8d4d5e Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 2 Dec 2023 22:47:33 -0500 Subject: [PATCH 144/145] 5k pts --- .../synthetic_correspondence_generator.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py index 17d599f60..7332e72ab 100644 --- a/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py +++ b/gtsfm/frontend/correspondence_generator/synthetic_correspondence_generator.py @@ -53,7 +53,7 @@ def generate_correspondences( client: Client, images: List[Future], image_pairs: List[Tuple[int, int]], - num_sampled_3d_points: int = 500, + num_sampled_3d_points: int = 5000, ) -> Tuple[List[Keypoints], Dict[Tuple[int, int], np.ndarray]]: """Apply the correspondence generator to generate putative correspondences (in parallel). From c0a14a7fd6fb251a25556d0a7e7513703b424979 Mon Sep 17 00:00:00 2001 From: senselessdev1 Date: Sat, 2 Dec 2023 23:09:48 -0500 Subject: [PATCH 145/145] reformat python black --- gtsfm/visualization/view_scene_tanks_and_temples.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/gtsfm/visualization/view_scene_tanks_and_temples.py b/gtsfm/visualization/view_scene_tanks_and_temples.py index 9eea1cd49..2619fc63d 100644 --- a/gtsfm/visualization/view_scene_tanks_and_temples.py +++ b/gtsfm/visualization/view_scene_tanks_and_temples.py @@ -110,11 +110,11 @@ def view_scene(args: argparse.Namespace) -> None: i2 = 4 synthetic_generator = SyntheticCorrespondenceGenerator(args.data_root, args.scene_name) - images = [loader.get_image_full_res(index=i) for i in range(i2+1)] + images = [loader.get_image_full_res(index=i) for i in range(i2 + 1)] keypoints_list, corr_idx_dict = synthetic_generator.generate_correspondences( client=client, images=images, - image_pairs=[[i1,i2]], + image_pairs=[[i1, i2]], num_sampled_3d_points=500, ) @@ -123,11 +123,11 @@ def view_scene(args: argparse.Namespace) -> None: images[i2], keypoints_list[i1], keypoints_list[i2], - corr_idx_dict[(i1,i2)], - inlier_mask=np.ones(len(corr_idx_dict[(i1,i2)]), dtype=bool) + corr_idx_dict[(i1, i2)], + inlier_mask=np.ones(len(corr_idx_dict[(i1, i2)]), dtype=bool), ) plt.imshow(plot_img.value_array) - plt.axis('off') + plt.axis("off") plt.show()

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