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QoL-grayscale
Mistakes saved during validation
Update requirements.txt
Fixed loss.py for newer torch, fixed typo in hyps
kbegiedza
suggested changes
Jan 3, 2023
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| def parse_model(d, ch): # model_dict, input_channels(3) | ||
| # Parse a YOLOv5 model.yaml dictionary | ||
| ch = [1] #!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! |
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remove comment (maybe use passed value instead of overriding it)
| @@ -298,11 +301,13 @@ def _from_yaml(self, cfg): | |||
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| def parse_model(d, ch): # model_dict, input_channels(3) | |||
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| [[17, 20, 23], 1, Detect, [nc, anchors]], # Detect(P3, P4, P5) | ||
| ] | ||
| ch: 1 No newline at end of file |
| # Build strides, anchors | ||
| m = self.model[-1] # Detect() | ||
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| ch = 1 |
| parser.add_argument('--save-period', type=int, default=-1, help='Save checkpoint every x epochs (disabled if < 1)') | ||
| parser.add_argument('--seed', type=int, default=0, help='Global training seed') | ||
| parser.add_argument('--local_rank', type=int, default=-1, help='Automatic DDP Multi-GPU argument, do not modify') | ||
| parser.add_argument('--rgb-mode', action='store_true', help='train model in rgb mode, with image_channels=3.') |
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not working now due to ch = 1 overrides in model / many places
| # ], p=0.7), | ||
| # A.Cutout(always_apply=False, p=0.7, num_holes=32, max_h_size=8, max_w_size=8) | ||
| # ], bbox_params=A.BboxParams(format='yolo', label_fields=['class_labels'])) | ||
| self.transform = A.Compose() |
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| # HSV color-space | ||
| augment_hsv(img, hgain=hyp['hsv_h'], sgain=hyp['hsv_s'], vgain=hyp['hsv_v']) | ||
| if self.rgb_mode: |
| if not matched_detections.__contains__(detection_index): | ||
| wrong_detections.append(detections_batch[detection_index]) | ||
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| all_mistakes = wrong_detections + wrong_detections_labels + not_detected_targets |
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maybe draw different mistakes with different colors ?
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Update to yolov5v7 of branch grayscale, with rgb/grayscale switcher