| {'test/Precision': tensor(0.6908, device='cuda:0'), 'test/Recall': tensor(0.5856, device='cuda:0'), 'test/IoU': tensor(0.4639, device='cuda:0'), 'test/mIoU': tensor(0.1980, device='cuda:0')} | |
| class_names: ('empty', 'car', 'bicycle', 'motorcycle', 'truck', 'other-vehicle', 'person', 'road', 'parking', 'sidewalk', 'other-ground', 'building', 'fence', 'vegetation', 'terrain', 'pole', 'traffic-sign', 'other-structure', 'other-object') | |
| iou_per_class: ['80.64', '28.73', '2.93', '5.36', '21.71', '8.77', '6.42', '58.68', '17.45', '37.87', '5.37', '42.62', '8.91', '37.77', '22.44', '14.59', '18.23', '10.48', '8.05'] |