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from n params module arguments - 0 -1 1 1760 models.common.Conv [3, 16, 6, 2, 2] - 1 -1 1 4672 models.common.Conv [16, 32, 3, 2] - 2 -1 1 4800 models.common.C3 [32, 32, 1] - 3 -1 1 18560 models.common.Conv [32, 64, 3, 2] - 4 -1 2 29184 models.common.C3 [64, 64, 2] - 5 -1 1 73984 models.common.Conv [64, 128, 3, 2] - 6 -1 3 156928 models.common.C3 [128, 128, 3] - 7 -1 1 295424 models.common.Conv [128, 256, 3, 2] - 8 -1 1 296448 models.common.C3 [256, 256, 1] - 9 -1 1 164608 models.common.SPPF [256, 256, 5] - 10 -1 1 33024 models.common.Conv [256, 128, 1, 1] - 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] - 12 [-1, 6] 1 0 models.common.Concat [1] - 13 -1 1 90880 models.common.C3 [256, 128, 1, False] - 14 -1 1 8320 models.common.Conv [128, 64, 1, 1] - 15 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] - 16 [-1, 4] 1 0 models.common.Concat [1] - 17 -1 1 22912 models.common.C3 [128, 64, 1, False] - 18 -1 1 36992 models.common.Conv [64, 64, 3, 2] - 19 [-1, 14] 1 0 models.common.Concat [1] - 20 -1 1 74496 models.common.C3 [128, 128, 1, False] - 21 -1 1 147712 models.common.Conv [128, 128, 3, 2] - 22 [-1, 10] 1 0 models.common.Concat [1] - 23 -1 1 296448 models.common.C3 [256, 256, 1, False] - 24 [17, 20, 23] 1 44649 models.yolo.Detect [28, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [64, 128, 256]] -YOLOv5n summary: 214 layers, 1801801 parameters, 1801801 gradients, 4.3 GFLOPs -Transferred 57/349 items from train_models/models/yolov5/yolov5s.pt -WARNING ⚠️ --img-size 300 must be multiple of max stride 32, updating to 320 -optimizer: SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.00046875), 60 bias -albumentations: Blur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8)) -train: Scanning /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/us -train: New cache created: /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/user_datasets/pad_1/train/labels.cache -val: Scanning /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/user -val: New cache created: /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/user_datasets/pad_1/valid/labels.cache -AutoAnchor: 6.25 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅ -Plotting labels to /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/runs/2024-06-24_13-22-33_yolov5n/exp/labels.jpg... -Image sizes 320 train, 320 val -Using 8 dataloader workers -Logging results to /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/runs/2024-06-24_13-22-33_yolov5n/exp -Starting training for 1 epochs... - Epoch GPU_mem box_loss obj_loss cls_loss Instances Size - 0/0 0G 0.1155 0.02005 0.08412 32 320: WARNING ⚠️ TensorBoard graph visualization failure Sizes of tensors must match except in dimension 1. Expected size 20 but got size 19 for tensor number 1 in the list. - 0/0 0G 0.1155 0.02005 0.08412 32 320: 1 - Class Images Instances P R mAP50 - all 12 16 0 0 0 0 -1 epochs completed in 0.001 hours. -Optimizer stripped from /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/runs/2024-06-24_13-22-33_yolov5n/exp/weights/last.pt, 3.8MB -Optimizer stripped from /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/runs/2024-06-24_13-22-33_yolov5n/exp/weights/best.pt, 3.8MB -Validating /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/runs/2024-06-24_13-22-33_yolov5n/exp/weights/best.pt... -Fusing layers... -YOLOv5n summary: 157 layers, 1797049 parameters, 0 gradients, 4.2 GFLOPs - Class Images Instances P R mAP50 - all 12 16 0 0 0 0 -Results saved to /media/space/ssd_1_tb_evo_sumsung1/exp-train/ODRS-update/ODRS/runs/2024-06-24_13-22-33_yolov5n/exp \ No newline at end of file diff --git a/src/DL/wandb/run-20240624_132235-lldqojbm/files/requirements.txt 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