diff --git a/marker/cleaners/headings.py b/marker/cleaners/headings.py index fa2df7e3..3d796458 100644 --- a/marker/cleaners/headings.py +++ b/marker/cleaners/headings.py @@ -71,13 +71,15 @@ def bucket_headings(line_heights, num_levels=settings.HEADING_LEVEL_COUNT): data_labels = np.concatenate([data, labels.reshape(-1, 1)], axis=1) data_labels = np.sort(data_labels, axis=0) - cluster_means = {label: np.mean(data_labels[data_labels[:, 1] == label, 0]) for label in np.unique(labels)} + cluster_means = {int(label): float(np.mean(data_labels[data_labels[:, 1] == label, 0])) for label in np.unique(labels)} label_max = None label_min = None heading_ranges = [] prev_cluster = None for row in data_labels: value, label = row + value = float(value) + label = int(label) if prev_cluster is not None and label != prev_cluster: prev_cluster_mean = cluster_means[prev_cluster] cluster_mean = cluster_means[label] @@ -93,7 +95,7 @@ def bucket_headings(line_heights, num_levels=settings.HEADING_LEVEL_COUNT): if label_min is not None: heading_ranges.append((label_min, label_max)) - heading_ranges = sorted(heading_ranges, key=lambda x: x[0], reverse=True) + heading_ranges = sorted(heading_ranges, reverse=True) return heading_ranges @@ -114,7 +116,7 @@ def infer_heading_levels(pages: List[Page], height_tol=.99): if block.block_type not in ["Title", "Section-header"]: continue - block_heights = [l.height for l in block.lines] # Account for rotation + block_heights = [l.height for l in block.lines] if len(block_heights) > 0: avg_height = sum(block_heights) / len(block_heights) for idx, (min_height, max_height) in enumerate(heading_ranges): diff --git a/marker/convert.py b/marker/convert.py index 14510fab..0a7cd7d0 100644 --- a/marker/convert.py +++ b/marker/convert.py @@ -1,4 +1,7 @@ import warnings + +from marker.pdf.images import render_image + warnings.filterwarnings("ignore", category=UserWarning) # Filter torch pytree user warnings import os @@ -82,12 +85,16 @@ def convert_single_pdf( for page_idx in range(start_page): doc.del_page(0) + max_len = min(len(pages), len(doc)) + lowres_images = [render_image(doc[pnum], dpi=settings.SURYA_DETECTOR_DPI) for pnum in range(max_len)] + # Unpack models from list texify_model, layout_model, order_model, detection_model, ocr_model, table_rec_model = model_lst - # Identify text lines on pages - surya_detection(doc, pages, detection_model, batch_multiplier=batch_multiplier) - flush_cuda_memory() + # Identify text lines, layout, reading order + surya_detection(lowres_images, pages, detection_model, batch_multiplier=batch_multiplier) + surya_layout(lowres_images, pages, layout_model, batch_multiplier=batch_multiplier) + surya_order(lowres_images, pages, order_model, batch_multiplier=batch_multiplier) # OCR pages as needed pages, ocr_stats = run_ocr(doc, pages, langs, ocr_model, batch_multiplier=batch_multiplier, ocr_all_pages=ocr_all_pages) @@ -98,21 +105,13 @@ def convert_single_pdf( print(f"Could not extract any text blocks for {fname}") return "", {}, out_meta - surya_layout(doc, pages, layout_model, batch_multiplier=batch_multiplier) - flush_cuda_memory() - # Find headers and footers bad_span_ids = filter_header_footer(pages) out_meta["block_stats"] = {"header_footer": len(bad_span_ids)} - # Add block types in + # Add block types from layout and sort from reading order annotate_block_types(pages) - - # Find reading order for blocks - # Sort blocks by reading order - surya_order(doc, pages, order_model, batch_multiplier=batch_multiplier) sort_blocks_in_reading_order(pages) - flush_cuda_memory() # Dump debug data if flags are set draw_page_debug_images(fname, pages) diff --git a/marker/layout/layout.py b/marker/layout/layout.py index e8c73f16..221913ee 100644 --- a/marker/layout/layout.py +++ b/marker/layout/layout.py @@ -1,4 +1,4 @@ -from collections import defaultdict +from collections import defaultdict, Counter from typing import List from surya.layout import batch_layout_detection @@ -18,8 +18,7 @@ def get_batch_size(): return 6 -def surya_layout(doc, pages: List[Page], layout_model, batch_multiplier=1): - images = [render_image(doc[pnum], dpi=settings.SURYA_LAYOUT_DPI) for pnum in range(len(pages))] +def surya_layout(images: list, pages: List[Page], layout_model, batch_multiplier=1): text_detection_results = [p.text_lines for p in pages] processor = layout_model.processor @@ -54,7 +53,7 @@ def annotate_block_types(pages: List[Page]): for i, block in enumerate(page.blocks): if block.block_type is not None: continue - min_dist = 0 + min_dist = None min_dist_idx = None for j, block2 in enumerate(page.blocks): if j == i or block2.block_type is None: @@ -64,8 +63,8 @@ def annotate_block_types(pages: List[Page]): min_dist = dist min_dist_idx = j for line in block2.lines: - dist = block2.distance(line.bbox) - if min_dist_idx is None or dist < min_dist: + dist = block.distance(line.bbox) + if dist < min_dist: min_dist = dist min_dist_idx = j @@ -76,29 +75,39 @@ def annotate_block_types(pages: List[Page]): if block.block_type is None: block.block_type = "Text" + def get_layout_label(block_labels: List[str]): + counter = Counter(block_labels) + return counter.most_common(1)[0][0] + + def generate_block(block, block_labels): + block.bbox = bbox_from_lines(block.lines) + block.block_type = get_layout_label(block_labels) + return block + # Merge blocks together, preserving pdf order curr_layout_idx = None curr_layout_block = None + curr_block_labels = [] new_blocks = [] for i in range(len(page.blocks)): - if i not in max_intersections: + if i not in max_intersections or max_intersections[i][0] == 0: if curr_layout_block is not None: - curr_layout_block.bbox = bbox_from_lines(curr_layout_block.lines) - new_blocks.append(curr_layout_block) + new_blocks.append(generate_block(curr_layout_block, curr_block_labels)) curr_layout_block = None curr_layout_idx = None + curr_block_labels = [] new_blocks.append(page.blocks[i]) elif max_intersections[i][1] != curr_layout_idx: if curr_layout_block is not None: - curr_layout_block.bbox = bbox_from_lines(curr_layout_block.lines) - new_blocks.append(curr_layout_block) + new_blocks.append(generate_block(curr_layout_block, curr_block_labels)) curr_layout_block = page.blocks[i].copy() curr_layout_idx = max_intersections[i][1] + curr_block_labels = [page.blocks[i].block_type] else: curr_layout_block.lines.extend(page.blocks[i].lines) + curr_block_labels.append(page.blocks[i].block_type) if curr_layout_block is not None: - curr_layout_block.bbox = bbox_from_lines(curr_layout_block.lines) - new_blocks.append(curr_layout_block) + new_blocks.append(generate_block(curr_layout_block, curr_block_labels)) page.blocks = new_blocks diff --git a/marker/layout/order.py b/marker/layout/order.py index 64ad98ed..7202544b 100644 --- a/marker/layout/order.py +++ b/marker/layout/order.py @@ -20,9 +20,7 @@ def get_batch_size(): return 6 -def surya_order(doc, pages: List[Page], order_model, batch_multiplier=1): - images = [render_image(doc[pnum], dpi=settings.SURYA_ORDER_DPI) for pnum in range(len(pages))] - +def surya_order(images: list, pages: List[Page], order_model, batch_multiplier=1): # Get bboxes for all pages bboxes = [] for page in pages: diff --git a/marker/ocr/detection.py b/marker/ocr/detection.py index 51d1ed25..cdbd0f2c 100644 --- a/marker/ocr/detection.py +++ b/marker/ocr/detection.py @@ -16,10 +16,8 @@ def get_batch_size(): return 4 -def surya_detection(doc: PdfDocument, pages: List[Page], det_model, batch_multiplier=1): +def surya_detection(images: list, pages: List[Page], det_model, batch_multiplier=1): processor = det_model.processor - max_len = min(len(pages), len(doc)) - images = [render_image(doc[pnum], dpi=settings.SURYA_DETECTOR_DPI) for pnum in range(max_len)] predictions = batch_text_detection(images, det_model, processor, batch_size=int(get_batch_size() * batch_multiplier)) for (page, pred) in zip(pages, predictions): diff --git a/poetry.lock 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