clarify commands in readme and fix viz names

README.md

@@ -36,7 +36,7 @@ Download a pre-trained BEV vehicle segmentation model from here: [https://drive.
 | 32.07      | 33.03 |
 
 ### Evaluate a model
-Evaluate the IOU of a model on the nuScenes validation set:
+Evaluate the IOU of a model on the nuScenes validation set. To evaluate on the "mini" split, pass `mini`. To evaluate on the "trainval" split, pass `trainval`.
 
 ```
 python main.py eval_model_iou mini/trainval --modelf=MODEL_LOCATION --dataroot=NUSCENES_ROOT

src/explore.py

@@ -111,7 +111,7 @@ def lidar_check(version,
                 ax = plt.subplot(gs[:, 4:5])
                 plt.imshow(binimgs[si].squeeze(0).T, origin='lower', cmap='Greys', vmin=0, vmax=1)
 
-                imname = f'lcheck{epoch:03}_{si:05}_{batchi:02}.jpg'
+                imname = f'lcheck{epoch:03}_{batchi:05}_{si:02}.jpg'
                 print('saving', imname)
                 plt.savefig(imname)
 
@@ -342,7 +342,7 @@ def viz_model_preds(version,
                 ax = plt.subplot(gs[0, :])
                 ax.get_xaxis().set_ticks([])
                 ax.get_yaxis().set_ticks([])
-                plt.setp(ax.spines.values(), color='#76b900', linewidth=2)
+                plt.setp(ax.spines.values(), color='b', linewidth=2)
                 plt.legend(handles=[
                     mpatches.Patch(color=(0.0, 0.0, 1.0, 1.0), label='Output Vehicle Segmentation'),
                     mpatches.Patch(color='#76b900', label='Ego Vehicle'),