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"Added yolo model"

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  1. yolo/.DS_Store +0 -0
  2. yolo/.ipynb_checkpoints/train_YOLOv8-checkpoint.ipynb +645 -0
  3. yolo/runs/.DS_Store +0 -0
  4. yolo/runs/detect/.DS_Store +0 -0
  5. yolo/runs/detect/train10/.DS_Store +0 -0
  6. yolo/runs/detect/train10/args.yaml +89 -0
  7. yolo/runs/detect/train10/predictions.json +0 -0
  8. yolo/runs/detect/train10/results.csv +101 -0
  9. yolo/runs/detect/train10/train_batch0.jpg +0 -0
  10. yolo/runs/detect/train10/train_batch1.jpg +0 -0
  11. yolo/runs/detect/train10/train_batch2.jpg +0 -0
  12. yolo/runs/detect/train10/train_batch34290.jpg +0 -0
  13. yolo/runs/detect/train10/train_batch34291.jpg +0 -0
  14. yolo/runs/detect/train10/train_batch34292.jpg +0 -0
  15. yolo/runs/detect/train10/val_batch0_labels.jpg +0 -0
  16. yolo/runs/detect/train10/val_batch0_pred.jpg +0 -0
  17. yolo/runs/detect/train10/val_batch1_labels.jpg +0 -0
  18. yolo/runs/detect/train10/val_batch1_pred.jpg +0 -0
  19. yolo/runs/detect/train10/val_batch2_labels.jpg +0 -0
  20. yolo/runs/detect/train10/val_batch2_pred.jpg +0 -0
  21. yolo/runs/detect/train10/weights/best.pt +3 -0
  22. yolo/runs/detect/train10/weights/last.pt +3 -0
  23. yolo/train_YOLOv8.ipynb +645 -0
  24. yolo/yolov8x.pt +3 -0
yolo/.DS_Store ADDED
Binary file (6.15 kB). View file
 
yolo/.ipynb_checkpoints/train_YOLOv8-checkpoint.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "c03b71c7-4161-4078-98b4-ada303d52bf6",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "from ultralytics import YOLO\n",
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+ "import torch"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 14,
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+ "id": "71d3e3d5-6841-4f6b-8b37-4120e49db6da",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "/home/ubuntu/.local/lib/python3.8/site-packages/pandas/core/computation/expressions.py:20: UserWarning: Pandas requires version '2.7.3' or newer of 'numexpr' (version '2.7.1' currently installed).\n",
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+ " from pandas.core.computation.check import NUMEXPR_INSTALLED\n",
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+ "Ultralytics YOLOv8.0.13 🚀 Python-3.8.10 torch-1.12.1 CUDA:0 (NVIDIA A100-SXM4-40GB, 40396MiB)\n",
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+ "\u001b[34m\u001b[1myolo/engine/trainer: \u001b[0mtask=detect, mode=train, model=yolov8x.pt, data=Dataset/data.yaml, epochs=100, patience=50, batch=16, imgsz=640, save=True, cache=False, device=, workers=8, project=None, name=None, exist_ok=False, pretrained=False, optimizer=SGD, verbose=False, seed=0, deterministic=True, single_cls=False, image_weights=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, show=False, save_txt=False, save_conf=False, save_crop=False, hide_labels=False, hide_conf=False, vid_stride=1, line_thickness=3, visualize=False, augment=False, agnostic_nms=False, retina_masks=False, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=17, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, fl_gamma=0.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, v5loader=True, save_dir=runs/detect/train10\n",
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+ "Overriding model.yaml nc=80 with nc=1\n",
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+ "\n",
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+ " from n params module arguments \n",
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+ " 0 -1 1 2320 ultralytics.nn.modules.Conv [3, 80, 3, 2] \n",
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+ " 1 -1 1 115520 ultralytics.nn.modules.Conv [80, 160, 3, 2] \n",
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+ " 2 -1 3 436800 ultralytics.nn.modules.C2f [160, 160, 3, True] \n",
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+ " 3 -1 1 461440 ultralytics.nn.modules.Conv [160, 320, 3, 2] \n",
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+ " 4 -1 6 3281920 ultralytics.nn.modules.C2f [320, 320, 6, True] \n",
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+ " 5 -1 1 1844480 ultralytics.nn.modules.Conv [320, 640, 3, 2] \n",
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+ " 6 -1 6 13117440 ultralytics.nn.modules.C2f [640, 640, 6, True] \n",
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+ " 7 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n",
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+ " 8 -1 3 6969600 ultralytics.nn.modules.C2f [640, 640, 3, True] \n",
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+ " 9 -1 1 1025920 ultralytics.nn.modules.SPPF [640, 640, 5] \n",
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+ " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
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+ " 11 [-1, 6] 1 0 ultralytics.nn.modules.Concat [1] \n",
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+ " 12 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n",
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+ " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
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+ " 14 [-1, 4] 1 0 ultralytics.nn.modules.Concat [1] \n",
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+ " 15 -1 3 1948800 ultralytics.nn.modules.C2f [960, 320, 3] \n",
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+ " 16 -1 1 922240 ultralytics.nn.modules.Conv [320, 320, 3, 2] \n",
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+ " 17 [-1, 12] 1 0 ultralytics.nn.modules.Concat [1] \n",
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+ " 18 -1 3 7174400 ultralytics.nn.modules.C2f [960, 640, 3] \n",
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+ " 19 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n",
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+ " 20 [-1, 9] 1 0 ultralytics.nn.modules.Concat [1] \n",
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+ " 21 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n",
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+ " 22 [15, 18, 21] 1 8718931 ultralytics.nn.modules.Detect [1, [320, 640, 640]] \n",
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+ "[W NNPACK.cpp:51] Could not initialize NNPACK! Reason: Unsupported hardware.\n",
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+ "Model summary: 365 layers, 68153571 parameters, 68153555 gradients, 258.1 GFLOPs\n",
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+ "\n",
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+ "Transferred 589/595 items from pretrained weights\n",
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+ "--------------------------------------------------------------------------\n",
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+ "WARNING: No preset parameters were found for the device that Open MPI\n",
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+ "detected:\n",
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+ "\n",
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+ " Local host: 158-101-124-138\n",
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+ " Device name: mlx5_0\n",
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+ " Device vendor ID: 0x02c9\n",
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+ " Device vendor part ID: 4126\n",
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+ "\n",
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+ "Default device parameters will be used, which may result in lower\n",
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+ "performance. You can edit any of the files specified by the\n",
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+ "btl_openib_device_param_files MCA parameter to set values for your\n",
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+ "device.\n",
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+ "\n",
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+ "NOTE: You can turn off this warning by setting the MCA parameter\n",
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+ " btl_openib_warn_no_device_params_found to 0.\n",
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+ "--------------------------------------------------------------------------\n",
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+ "--------------------------------------------------------------------------\n",
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+ "No OpenFabrics connection schemes reported that they were able to be\n",
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+ "used on a specific port. As such, the openib BTL (OpenFabrics\n",
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+ "support) will be disabled for this port.\n",
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+ "\n",
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+ " Local host: 158-101-124-138\n",
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+ " Local device: mlx5_0\n",
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+ " Local port: 1\n",
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+ " CPCs attempted: udcm\n",
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+ "--------------------------------------------------------------------------\n",
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+ "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 97 weight(decay=0.0), 104 weight(decay=0.0005), 103 bias\n",
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+ "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/ubuntu/Dataset/train/labels... 6091 images, 4 backgrounds,\u001b[0m\n",
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+ "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/ubuntu/Dataset/train/labels.cache\n",
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+ "\u001b[34m\u001b[1mval: \u001b[0mScanning /home/ubuntu/Dataset/valid/labels... 2094 images, 0 backgrounds, 0\u001b[0m\n",
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+ "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/ubuntu/Dataset/valid/labels.cache\n",
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+ "Image sizes 640 train, 640 val\n",
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+ "Using 8 dataloader workers\n",
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+ "Logging results to \u001b[1mruns/detect/train10\u001b[0m\n",
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+ "Starting training for 100 epochs...\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 1/100 12.3G 1.745 2.153 1.78 46 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.481 0.388 0.369 0.179\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 2/100 15.1G 1.658 1.671 1.662 37 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.564 0.476 0.477 0.217\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 3/100 15.1G 1.757 1.817 1.744 36 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.478 0.353 0.338 0.151\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 4/100 15.1G 1.814 1.914 1.796 37 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.532 0.41 0.408 0.189\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 5/100 15.1G 1.789 1.863 1.79 46 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.538 0.43 0.44 0.206\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 6/100 15.1G 1.751 1.793 1.755 50 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.468 0.367 0.353 0.162\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 7/100 15.1G 1.718 1.746 1.748 58 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.631 0.511 0.549 0.271\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 8/100 15.1G 1.7 1.707 1.737 31 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.604 0.479 0.515 0.259\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 9/100 15.1G 1.671 1.681 1.709 50 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.618 0.496 0.532 0.267\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 10/100 15.1G 1.66 1.635 1.713 23 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.652 0.532 0.577 0.298\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 11/100 15.1G 1.632 1.592 1.69 44 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.702 0.538 0.607 0.308\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 12/100 15.1G 1.622 1.58 1.685 36 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.663 0.56 0.615 0.322\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
156
+ " 13/100 15.1G 1.594 1.544 1.666 35 640: 1\n",
157
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.673 0.565 0.611 0.318\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 14/100 15.1G 1.581 1.52 1.656 48 640: 1\n",
162
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.678 0.598 0.643 0.334\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
166
+ " 15/100 15.1G 1.568 1.491 1.642 29 640: 1\n",
167
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.686 0.555 0.611 0.315\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 16/100 15.1G 1.554 1.488 1.647 27 640: 1\n",
172
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.687 0.585 0.646 0.337\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
176
+ " 17/100 15.1G 1.533 1.457 1.63 30 640: 1\n",
177
+ " Class Images Instances Box(P R mAP50 m\n",
178
+ " all 2094 5214 0.723 0.606 0.678 0.359\n",
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+ "\n",
180
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
181
+ " 18/100 15.1G 1.529 1.418 1.608 54 640: 1\n",
182
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.716 0.609 0.673 0.356\n",
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+ "\n",
185
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
186
+ " 19/100 15.1G 1.51 1.384 1.601 40 640: 1\n",
187
+ " Class Images Instances Box(P R mAP50 m\n",
188
+ " all 2094 5214 0.732 0.627 0.687 0.367\n",
189
+ "\n",
190
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
191
+ " 20/100 15.1G 1.499 1.36 1.59 36 640: 1\n",
192
+ " Class Images Instances Box(P R mAP50 m\n",
193
+ " all 2094 5214 0.701 0.607 0.654 0.349\n",
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+ "\n",
195
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
196
+ " 21/100 15.1G 1.484 1.356 1.581 51 640: 1\n",
197
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.725 0.624 0.686 0.376\n",
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+ "\n",
200
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
201
+ " 22/100 15.1G 1.473 1.353 1.576 37 640: 1\n",
202
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.707 0.639 0.682 0.371\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 23/100 15.1G 1.462 1.335 1.575 49 640: 1\n",
207
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.733 0.643 0.699 0.381\n",
209
+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
211
+ " 24/100 15.1G 1.463 1.325 1.566 49 640: 1\n",
212
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.747 0.651 0.71 0.391\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
216
+ " 25/100 15.1G 1.431 1.306 1.56 30 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.738 0.632 0.7 0.389\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
221
+ " 26/100 15.1G 1.43 1.277 1.546 32 640: 1\n",
222
+ " Class Images Instances Box(P R mAP50 m\n",
223
+ " all 2094 5214 0.751 0.648 0.709 0.391\n",
224
+ "\n",
225
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
226
+ " 27/100 15.1G 1.414 1.274 1.542 32 640: 1\n",
227
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.765 0.653 0.727 0.4\n",
229
+ "\n",
230
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
231
+ " 28/100 15.1G 1.407 1.261 1.528 45 640: 1\n",
232
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.745 0.674 0.732 0.406\n",
234
+ "\n",
235
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
236
+ " 29/100 15.1G 1.41 1.236 1.535 50 640: 1\n",
237
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.761 0.658 0.726 0.414\n",
239
+ "\n",
240
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
241
+ " 30/100 15.1G 1.394 1.245 1.525 48 640: 1\n",
242
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.783 0.653 0.735 0.419\n",
244
+ "\n",
245
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
246
+ " 31/100 15.1G 1.366 1.211 1.5 28 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.782 0.651 0.726 0.407\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 32/100 15.1G 1.369 1.208 1.5 30 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.763 0.681 0.745 0.427\n",
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+ "\n",
255
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 33/100 15.1G 1.353 1.175 1.489 51 640: 1\n",
257
+ " Class Images Instances Box(P R mAP50 m\n",
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+ " all 2094 5214 0.761 0.684 0.747 0.434\n",
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+ "\n",
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+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
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+ " 34/100 15.1G 1.349 1.177 1.491 28 640: 1\n",
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+ " Class Images Instances Box(P R mAP50 m\n",
263
+ " all 2094 5214 0.784 0.678 0.755 0.437\n",
264
+ "\n",
265
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
266
+ " 35/100 15.1G 1.343 1.185 1.48 27 640: 1\n",
267
+ " Class Images Instances Box(P R mAP50 m\n",
268
+ " all 2094 5214 0.786 0.679 0.757 0.443\n",
269
+ "\n",
270
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
271
+ " 36/100 15.1G 1.316 1.142 1.457 45 640: 1\n",
272
+ " Class Images Instances Box(P R mAP50 m\n",
273
+ " all 2094 5214 0.788 0.692 0.762 0.448\n",
274
+ "\n",
275
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
276
+ " 37/100 15.1G 1.323 1.152 1.468 52 640: 1\n",
277
+ " Class Images Instances Box(P R mAP50 m\n",
278
+ " all 2094 5214 0.805 0.697 0.775 0.458\n",
279
+ "\n",
280
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
281
+ " 38/100 15.1G 1.308 1.139 1.459 45 640: 1\n",
282
+ " Class Images Instances Box(P R mAP50 m\n",
283
+ " all 2094 5214 0.801 0.701 0.775 0.464\n",
284
+ "\n",
285
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
286
+ " 39/100 15.1G 1.293 1.11 1.437 46 640: 1\n",
287
+ " Class Images Instances Box(P R mAP50 m\n",
288
+ " all 2094 5214 0.805 0.704 0.777 0.459\n",
289
+ "\n",
290
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
291
+ " 40/100 15.1G 1.296 1.115 1.452 29 640: 1\n",
292
+ " Class Images Instances Box(P R mAP50 m\n",
293
+ " all 2094 5214 0.808 0.709 0.783 0.466\n",
294
+ "\n",
295
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
296
+ " 41/100 15.1G 1.272 1.086 1.437 27 640: 1\n",
297
+ " Class Images Instances Box(P R mAP50 m\n",
298
+ " all 2094 5214 0.824 0.702 0.777 0.47\n",
299
+ "\n",
300
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
301
+ " Class Images Instances Box(P R mAP50 m\n",
302
+ " all 2094 5214 0.814 0.704 0.784 0.479\n",
303
+ "\n",
304
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
305
+ " 43/100 15.1G 1.273 1.085 1.433 39 640: 1\n",
306
+ " Class Images Instances Box(P R mAP50 m\n",
307
+ " all 2094 5214 0.827 0.716 0.79 0.483\n",
308
+ "\n",
309
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
310
+ " 44/100 15.1G 1.254 1.074 1.407 55 640: 1\n",
311
+ " Class Images Instances Box(P R mAP50 m\n",
312
+ " all 2094 5214 0.814 0.707 0.778 0.475\n",
313
+ "\n",
314
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
315
+ " 45/100 15.1G 1.236 1.032 1.402 30 640: 1\n",
316
+ " Class Images Instances Box(P R mAP50 m\n",
317
+ " all 2094 5214 0.839 0.705 0.79 0.492\n",
318
+ "\n",
319
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
320
+ " 46/100 15.1G 1.237 1.046 1.407 29 640: 1\n",
321
+ " Class Images Instances Box(P R mAP50 m\n",
322
+ " all 2094 5214 0.824 0.731 0.806 0.503\n",
323
+ "\n",
324
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
325
+ " 47/100 15.1G 1.222 1.033 1.395 25 640: 1\n",
326
+ " Class Images Instances Box(P R mAP50 m\n",
327
+ " all 2094 5214 0.832 0.742 0.808 0.508\n",
328
+ "\n",
329
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
330
+ " 48/100 15.1G 1.217 1.041 1.39 36 640: 1\n",
331
+ " Class Images Instances Box(P R mAP50 m\n",
332
+ " all 2094 5214 0.833 0.736 0.803 0.504\n",
333
+ "\n",
334
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
335
+ " 49/100 15.1G 1.202 1.006 1.382 37 640: 1\n",
336
+ " Class Images Instances Box(P R mAP50 m\n",
337
+ " all 2094 5214 0.838 0.73 0.801 0.507\n",
338
+ "\n",
339
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
340
+ " 50/100 15.1G 1.211 1.022 1.385 37 640: 1\n",
341
+ " Class Images Instances Box(P R mAP50 m\n",
342
+ " all 2094 5214 0.846 0.725 0.806 0.514\n",
343
+ "\n",
344
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
345
+ " 51/100 15.1G 1.207 1.022 1.378 47 640: 1\n",
346
+ " Class Images Instances Box(P R mAP50 m\n",
347
+ " all 2094 5214 0.843 0.726 0.8 0.505\n",
348
+ "\n",
349
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
350
+ " 52/100 15.1G 1.183 1.005 1.363 50 640: 1\n",
351
+ " Class Images Instances Box(P R mAP50 m\n",
352
+ " all 2094 5214 0.831 0.744 0.811 0.515\n",
353
+ "\n",
354
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
355
+ " 53/100 15.1G 1.187 1.004 1.368 35 640: 1\n",
356
+ " Class Images Instances Box(P R mAP50 m\n",
357
+ " all 2094 5214 0.86 0.728 0.815 0.526\n",
358
+ "\n",
359
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
360
+ " 54/100 15.1G 1.171 0.9915 1.363 39 640: 1\n",
361
+ " Class Images Instances Box(P R mAP50 m\n",
362
+ " all 2094 5214 0.835 0.747 0.816 0.53\n",
363
+ "\n",
364
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
365
+ " 55/100 15.1G 1.164 0.9765 1.355 40 640: 1\n",
366
+ " Class Images Instances Box(P R mAP50 m\n",
367
+ " all 2094 5214 0.847 0.738 0.812 0.528\n",
368
+ "\n",
369
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
370
+ " 56/100 15.1G 1.151 0.9672 1.352 40 640: 1\n",
371
+ " Class Images Instances Box(P R mAP50 m\n",
372
+ " all 2094 5214 0.845 0.75 0.813 0.523\n",
373
+ "\n",
374
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
375
+ " 57/100 15.1G 1.139 0.9553 1.346 33 640: 1\n",
376
+ " Class Images Instances Box(P R mAP50 m\n",
377
+ " all 2094 5214 0.841 0.747 0.817 0.534\n",
378
+ "\n",
379
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
380
+ " 58/100 15.1G 1.133 0.9477 1.332 42 640: 1\n",
381
+ " Class Images Instances Box(P R mAP50 m\n",
382
+ " all 2094 5214 0.848 0.75 0.827 0.543\n",
383
+ "\n",
384
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
385
+ " 59/100 15.1G 1.129 0.9347 1.334 33 640: 1\n",
386
+ " Class Images Instances Box(P R mAP50 m\n",
387
+ " all 2094 5214 0.863 0.746 0.822 0.542\n",
388
+ "\n",
389
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
390
+ " 60/100 15.1G 1.122 0.9287 1.323 27 640: 1\n",
391
+ " Class Images Instances Box(P R mAP50 m\n",
392
+ " all 2094 5214 0.854 0.753 0.821 0.545\n",
393
+ "\n",
394
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
395
+ " 61/100 15.1G 1.119 0.9338 1.319 40 640: 1\n",
396
+ " Class Images Instances Box(P R mAP50 m\n",
397
+ " all 2094 5214 0.857 0.75 0.825 0.551\n",
398
+ "\n",
399
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
400
+ " 62/100 15.1G 1.11 0.922 1.314 44 640: 1\n",
401
+ " Class Images Instances Box(P R mAP50 m\n",
402
+ " all 2094 5214 0.857 0.759 0.827 0.554\n",
403
+ "\n",
404
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
405
+ " 63/100 15.1G 1.095 0.9126 1.302 38 640: 1\n",
406
+ " Class Images Instances Box(P R mAP50 m\n",
407
+ " all 2094 5214 0.853 0.759 0.829 0.557\n",
408
+ "\n",
409
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
410
+ " 64/100 15.1G 1.099 0.9194 1.303 22 640: 1\n",
411
+ " Class Images Instances Box(P R mAP50 m\n",
412
+ " all 2094 5214 0.87 0.753 0.831 0.562\n",
413
+ "\n",
414
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
415
+ " 65/100 15.1G 1.082 0.9035 1.289 35 640: 1\n",
416
+ " Class Images Instances Box(P R mAP50 m\n",
417
+ " all 2094 5214 0.865 0.756 0.832 0.564\n",
418
+ "\n",
419
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
420
+ " 66/100 15.1G 1.085 0.8965 1.284 25 640: 1\n",
421
+ " Class Images Instances Box(P R mAP50 m\n",
422
+ " all 2094 5214 0.87 0.75 0.829 0.565\n",
423
+ "\n",
424
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
425
+ " 67/100 15.1G 1.073 0.8829 1.271 29 640: 1\n",
426
+ " Class Images Instances Box(P R mAP50 m\n",
427
+ " all 2094 5214 0.87 0.756 0.835 0.57\n",
428
+ "\n",
429
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
430
+ " 68/100 15.1G 1.061 0.8676 1.28 36 640: 1\n",
431
+ " Class Images Instances Box(P R mAP50 m\n",
432
+ " all 2094 5214 0.876 0.751 0.825 0.565\n",
433
+ "\n",
434
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
435
+ " 69/100 15.1G 1.05 0.8651 1.272 17 640: 1\n",
436
+ " Class Images Instances Box(P R mAP50 m\n",
437
+ " all 2094 5214 0.875 0.753 0.83 0.57\n",
438
+ "\n",
439
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
440
+ " 70/100 15.1G 1.036 0.8491 1.255 29 640: 1\n",
441
+ " Class Images Instances Box(P R mAP50 m\n",
442
+ " all 2094 5214 0.884 0.75 0.83 0.572\n",
443
+ "\n",
444
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
445
+ " 71/100 15.1G 1.047 0.8793 1.269 51 640: 1\n",
446
+ " Class Images Instances Box(P R mAP50 m\n",
447
+ " all 2094 5214 0.871 0.755 0.828 0.574\n",
448
+ "\n",
449
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
450
+ " 72/100 15.1G 1.031 0.8529 1.259 23 640: 1\n",
451
+ " Class Images Instances Box(P R mAP50 m\n",
452
+ " all 2094 5214 0.876 0.753 0.825 0.567\n",
453
+ "\n",
454
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
455
+ " 73/100 15.1G 1.021 0.8454 1.253 39 640: 1\n",
456
+ " Class Images Instances Box(P R mAP50 m\n",
457
+ " all 2094 5214 0.878 0.752 0.827 0.57\n",
458
+ "\n",
459
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
460
+ " 74/100 15.1G 1.009 0.835 1.244 40 640: 1\n",
461
+ " Class Images Instances Box(P R mAP50 m\n",
462
+ " all 2094 5214 0.887 0.746 0.825 0.574\n",
463
+ "\n",
464
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
465
+ " 75/100 15.1G 1.007 0.8348 1.252 25 640: 1\n",
466
+ " Class Images Instances Box(P R mAP50 m\n",
467
+ " all 2094 5214 0.877 0.749 0.829 0.577\n",
468
+ "\n",
469
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
470
+ " 76/100 15.1G 1.013 0.8338 1.24 28 640: 1\n",
471
+ " Class Images Instances Box(P R mAP50 m\n",
472
+ " all 2094 5214 0.879 0.747 0.824 0.573\n",
473
+ "\n",
474
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
475
+ " 77/100 15.1G 0.9942 0.8244 1.235 45 640: 1\n",
476
+ " Class Images Instances Box(P R mAP50 m\n",
477
+ " all 2094 5214 0.877 0.751 0.828 0.578\n",
478
+ "\n",
479
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
480
+ " 78/100 15.1G 0.9697 0.8026 1.228 28 640: 1\n",
481
+ " Class Images Instances Box(P R mAP50 m\n",
482
+ " all 2094 5214 0.892 0.752 0.831 0.582\n",
483
+ "\n",
484
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
485
+ " 79/100 15.1G 0.9774 0.8125 1.232 37 640: 1\n",
486
+ " Class Images Instances Box(P R mAP50 m\n",
487
+ " all 2094 5214 0.889 0.755 0.832 0.583\n",
488
+ "\n",
489
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
490
+ " 80/100 15.1G 0.9647 0.7974 1.215 29 640: 1\n",
491
+ " Class Images Instances Box(P R mAP50 m\n",
492
+ " all 2094 5214 0.898 0.746 0.832 0.588\n",
493
+ "\n",
494
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
495
+ " 81/100 15.1G 0.9608 0.8017 1.22 34 640: 1\n",
496
+ " Class Images Instances Box(P R mAP50 m\n",
497
+ " all 2094 5214 0.889 0.758 0.833 0.591\n",
498
+ "\n",
499
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
500
+ " 82/100 15.1G 0.9584 0.7996 1.212 23 640: 1\n",
501
+ " Class Images Instances Box(P R mAP50 m\n",
502
+ " all 2094 5214 0.889 0.75 0.83 0.591\n",
503
+ "\n",
504
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
505
+ " 83/100 15.1G 0.9418 0.7796 1.205 51 640: 1\n",
506
+ " Class Images Instances Box(P R mAP50 m\n",
507
+ " all 2094 5214 0.894 0.753 0.831 0.591\n",
508
+ "\n",
509
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
510
+ " 84/100 15.1G 0.9472 0.7892 1.206 56 640: 1\n",
511
+ " Class Images Instances Box(P R mAP50 m\n",
512
+ " all 2094 5214 0.885 0.761 0.832 0.591\n",
513
+ "\n",
514
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
515
+ " 85/100 15.1G 0.9538 0.7975 1.215 26 640: 1\n",
516
+ " Class Images Instances Box(P R mAP50 m\n",
517
+ " all 2094 5214 0.881 0.764 0.83 0.593\n",
518
+ "\n",
519
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
520
+ " 86/100 15.1G 0.9328 0.7684 1.2 28 640: 1\n",
521
+ " Class Images Instances Box(P R mAP50 m\n",
522
+ " all 2094 5214 0.891 0.758 0.832 0.596\n",
523
+ "\n",
524
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
525
+ " 87/100 15.1G 0.9253 0.7695 1.193 26 640: 1\n",
526
+ " Class Images Instances Box(P R mAP50 m\n",
527
+ " all 2094 5214 0.888 0.757 0.829 0.594\n",
528
+ "\n",
529
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
530
+ " 88/100 15.1G 0.9042 0.7459 1.182 41 640: 1\n",
531
+ " Class Images Instances Box(P R mAP50 m\n",
532
+ " all 2094 5214 0.889 0.751 0.829 0.596\n",
533
+ "\n",
534
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
535
+ " 89/100 15.1G 0.91 0.756 1.19 38 640: 1\n",
536
+ " Class Images Instances Box(P R mAP50 m\n",
537
+ " all 2094 5214 0.89 0.754 0.828 0.595\n",
538
+ "\n",
539
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
540
+ " 90/100 15.1G 0.8991 0.7469 1.175 43 640: 1\n",
541
+ " Class Images Instances Box(P R mAP50 m\n",
542
+ " all 2094 5214 0.888 0.752 0.829 0.597\n",
543
+ "Closing dataloader mosaic\n",
544
+ "\n",
545
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
546
+ " 91/100 15.1G 0.8567 0.4992 1.141 22 640: 1\n",
547
+ " Class Images Instances Box(P R mAP50 m\n",
548
+ " all 2094 5214 0.882 0.759 0.832 0.602\n",
549
+ "\n",
550
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
551
+ " 92/100 15.1G 0.8237 0.472 1.118 27 640: 1\n",
552
+ " Class Images Instances Box(P R mAP50 m\n",
553
+ " all 2094 5214 0.893 0.753 0.836 0.607\n",
554
+ "\n",
555
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
556
+ " 93/100 15.1G 0.8052 0.4655 1.102 20 640: 1\n",
557
+ " Class Images Instances Box(P R mAP50 m\n",
558
+ " all 2094 5214 0.892 0.759 0.836 0.609\n",
559
+ "\n",
560
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
561
+ " 94/100 15.1G 0.8046 0.4628 1.107 32 640: 1\n",
562
+ " Class Images Instances Box(P R mAP50 m\n",
563
+ " all 2094 5214 0.887 0.758 0.834 0.61\n",
564
+ "\n",
565
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
566
+ " 95/100 15.1G 0.7941 0.4492 1.097 31 640: 1\n",
567
+ " Class Images Instances Box(P R mAP50 m\n",
568
+ " all 2094 5214 0.879 0.762 0.833 0.611\n",
569
+ "\n",
570
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
571
+ " 96/100 15.1G 0.7839 0.445 1.093 29 640: 1\n",
572
+ " Class Images Instances Box(P R mAP50 m\n",
573
+ " all 2094 5214 0.884 0.763 0.834 0.613\n",
574
+ "\n",
575
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
576
+ " 97/100 15.1G 0.7733 0.4419 1.087 29 640: 1\n",
577
+ " Class Images Instances Box(P R mAP50 m\n",
578
+ " all 2094 5214 0.886 0.761 0.833 0.613\n",
579
+ "\n",
580
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
581
+ " 98/100 15.1G 0.7594 0.4302 1.074 38 640: 1\n",
582
+ " Class Images Instances Box(P R mAP50 m\n",
583
+ " all 2094 5214 0.89 0.758 0.833 0.614\n",
584
+ "\n",
585
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
586
+ " 99/100 15.1G 0.7513 0.4248 1.072 13 640: 1\n",
587
+ " Class Images Instances Box(P R mAP50 m\n",
588
+ " all 2094 5214 0.896 0.753 0.833 0.614\n",
589
+ "\n",
590
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
591
+ " 100/100 15.1G 0.7498 0.4216 1.07 30 640: 1\n",
592
+ " Class Images Instances Box(P R mAP50 m\n",
593
+ " all 2094 5214 0.885 0.761 0.831 0.615\n",
594
+ "\n",
595
+ "100 epochs completed in 2.577 hours.\n",
596
+ "Optimizer stripped from runs/detect/train10/weights/last.pt, 136.7MB\n",
597
+ "Optimizer stripped from runs/detect/train10/weights/best.pt, 136.7MB\n",
598
+ "\n",
599
+ "Validating runs/detect/train10/weights/best.pt...\n",
600
+ "Ultralytics YOLOv8.0.13 🚀 Python-3.8.10 torch-1.12.1 CUDA:0 (NVIDIA A100-SXM4-40GB, 40396MiB)\n",
601
+ "Fusing... \n",
602
+ "Model summary: 268 layers, 68124531 parameters, 0 gradients, 257.4 GFLOPs\n",
603
+ " Class Images Instances Box(P R mAP50 m\n",
604
+ " all 2094 5214 0.885 0.761 0.831 0.614\n",
605
+ "Speed: 0.1ms pre-process, 3.1ms inference, 0.0ms loss, 0.5ms post-process per image\n",
606
+ "Saving runs/detect/train10/predictions.json...\n",
607
+ "Results saved to \u001b[1mruns/detect/train10\u001b[0m\n"
608
+ ]
609
+ }
610
+ ],
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+ "source": [
612
+ "!yolo task=detect mode=train model=yolov8x.pt data='Dataset/data.yaml' epochs=100 imgsz=640 v5loader=True"
613
+ ]
614
+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "0a97bd45-a8e5-4238-bf04-83d7ad521a5d",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3",
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+ "language": "python",
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+ "name": "python3"
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+ "language_info": {
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+ "version": "3.8.10"
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+ }
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }
yolo/runs/.DS_Store ADDED
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yolo/runs/detect/.DS_Store ADDED
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yolo/runs/detect/train10/.DS_Store ADDED
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yolo/runs/detect/train10/args.yaml ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ task: detect
2
+ mode: train
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+ model: yolov8x.pt
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+ data: Dataset/data.yaml
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+ epochs: 100
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+ patience: 50
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+ batch: 16
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+ imgsz: 640
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+ save: true
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+ cache: false
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+ device: ''
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+ workers: 8
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+ project: null
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+ name: null
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+ exist_ok: false
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+ pretrained: false
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+ optimizer: SGD
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+ verbose: false
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+ seed: 0
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+ deterministic: true
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+ single_cls: false
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+ image_weights: false
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+ rect: false
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+ cos_lr: false
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+ close_mosaic: 10
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+ resume: false
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+ overlap_mask: true
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+ mask_ratio: 4
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+ dropout: 0.0
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+ val: true
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+ save_json: false
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+ save_hybrid: false
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+ conf: null
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+ iou: 0.7
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+ max_det: 300
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+ half: false
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+ dnn: false
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+ plots: true
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+ source: null
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+ show: false
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+ save_txt: false
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+ save_conf: false
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+ save_crop: false
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+ hide_labels: false
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+ hide_conf: false
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+ vid_stride: 1
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+ line_thickness: 3
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+ visualize: false
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+ augment: false
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+ agnostic_nms: false
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+ retina_masks: false
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+ format: torchscript
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+ keras: false
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+ optimize: false
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+ int8: false
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+ dynamic: false
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+ simplify: false
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+ opset: 17
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+ workspace: 4
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+ nms: false
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+ lr0: 0.01
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+ lrf: 0.01
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+ momentum: 0.937
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+ weight_decay: 0.0005
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+ warmup_epochs: 3.0
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+ warmup_momentum: 0.8
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+ warmup_bias_lr: 0.1
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+ box: 7.5
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+ cls: 0.5
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+ dfl: 1.5
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+ fl_gamma: 0.0
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+ label_smoothing: 0.0
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+ nbs: 64
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+ hsv_h: 0.015
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+ hsv_s: 0.7
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+ hsv_v: 0.4
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+ degrees: 0.0
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+ translate: 0.1
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+ scale: 0.5
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+ flipud: 0.0
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+ fliplr: 0.5
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+ mosaic: 1.0
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+ mixup: 0.0
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+ copy_paste: 0.0
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+ cfg: null
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+ v5loader: true
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+ save_dir: runs/detect/train10
yolo/runs/detect/train10/predictions.json ADDED
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yolo/runs/detect/train10/results.csv ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
5
+ "execution_count": 2,
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+ "id": "c03b71c7-4161-4078-98b4-ada303d52bf6",
7
+ "metadata": {},
8
+ "outputs": [],
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+ "source": [
10
+ "from ultralytics import YOLO\n",
11
+ "import torch"
12
+ ]
13
+ },
14
+ {
15
+ "cell_type": "code",
16
+ "execution_count": 14,
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+ "id": "71d3e3d5-6841-4f6b-8b37-4120e49db6da",
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+ "metadata": {},
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+ "outputs": [
20
+ {
21
+ "name": "stdout",
22
+ "output_type": "stream",
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+ "text": [
24
+ "/home/ubuntu/.local/lib/python3.8/site-packages/pandas/core/computation/expressions.py:20: UserWarning: Pandas requires version '2.7.3' or newer of 'numexpr' (version '2.7.1' currently installed).\n",
25
+ " from pandas.core.computation.check import NUMEXPR_INSTALLED\n",
26
+ "Ultralytics YOLOv8.0.13 🚀 Python-3.8.10 torch-1.12.1 CUDA:0 (NVIDIA A100-SXM4-40GB, 40396MiB)\n",
27
+ "\u001b[34m\u001b[1myolo/engine/trainer: \u001b[0mtask=detect, mode=train, model=yolov8x.pt, data=Dataset/data.yaml, epochs=100, patience=50, batch=16, imgsz=640, save=True, cache=False, device=, workers=8, project=None, name=None, exist_ok=False, pretrained=False, optimizer=SGD, verbose=False, seed=0, deterministic=True, single_cls=False, image_weights=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, show=False, save_txt=False, save_conf=False, save_crop=False, hide_labels=False, hide_conf=False, vid_stride=1, line_thickness=3, visualize=False, augment=False, agnostic_nms=False, retina_masks=False, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=17, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, fl_gamma=0.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0, cfg=None, v5loader=True, save_dir=runs/detect/train10\n",
28
+ "Overriding model.yaml nc=80 with nc=1\n",
29
+ "\n",
30
+ " from n params module arguments \n",
31
+ " 0 -1 1 2320 ultralytics.nn.modules.Conv [3, 80, 3, 2] \n",
32
+ " 1 -1 1 115520 ultralytics.nn.modules.Conv [80, 160, 3, 2] \n",
33
+ " 2 -1 3 436800 ultralytics.nn.modules.C2f [160, 160, 3, True] \n",
34
+ " 3 -1 1 461440 ultralytics.nn.modules.Conv [160, 320, 3, 2] \n",
35
+ " 4 -1 6 3281920 ultralytics.nn.modules.C2f [320, 320, 6, True] \n",
36
+ " 5 -1 1 1844480 ultralytics.nn.modules.Conv [320, 640, 3, 2] \n",
37
+ " 6 -1 6 13117440 ultralytics.nn.modules.C2f [640, 640, 6, True] \n",
38
+ " 7 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n",
39
+ " 8 -1 3 6969600 ultralytics.nn.modules.C2f [640, 640, 3, True] \n",
40
+ " 9 -1 1 1025920 ultralytics.nn.modules.SPPF [640, 640, 5] \n",
41
+ " 10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
42
+ " 11 [-1, 6] 1 0 ultralytics.nn.modules.Concat [1] \n",
43
+ " 12 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n",
44
+ " 13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n",
45
+ " 14 [-1, 4] 1 0 ultralytics.nn.modules.Concat [1] \n",
46
+ " 15 -1 3 1948800 ultralytics.nn.modules.C2f [960, 320, 3] \n",
47
+ " 16 -1 1 922240 ultralytics.nn.modules.Conv [320, 320, 3, 2] \n",
48
+ " 17 [-1, 12] 1 0 ultralytics.nn.modules.Concat [1] \n",
49
+ " 18 -1 3 7174400 ultralytics.nn.modules.C2f [960, 640, 3] \n",
50
+ " 19 -1 1 3687680 ultralytics.nn.modules.Conv [640, 640, 3, 2] \n",
51
+ " 20 [-1, 9] 1 0 ultralytics.nn.modules.Concat [1] \n",
52
+ " 21 -1 3 7379200 ultralytics.nn.modules.C2f [1280, 640, 3] \n",
53
+ " 22 [15, 18, 21] 1 8718931 ultralytics.nn.modules.Detect [1, [320, 640, 640]] \n",
54
+ "[W NNPACK.cpp:51] Could not initialize NNPACK! Reason: Unsupported hardware.\n",
55
+ "Model summary: 365 layers, 68153571 parameters, 68153555 gradients, 258.1 GFLOPs\n",
56
+ "\n",
57
+ "Transferred 589/595 items from pretrained weights\n",
58
+ "--------------------------------------------------------------------------\n",
59
+ "WARNING: No preset parameters were found for the device that Open MPI\n",
60
+ "detected:\n",
61
+ "\n",
62
+ " Local host: 158-101-124-138\n",
63
+ " Device name: mlx5_0\n",
64
+ " Device vendor ID: 0x02c9\n",
65
+ " Device vendor part ID: 4126\n",
66
+ "\n",
67
+ "Default device parameters will be used, which may result in lower\n",
68
+ "performance. You can edit any of the files specified by the\n",
69
+ "btl_openib_device_param_files MCA parameter to set values for your\n",
70
+ "device.\n",
71
+ "\n",
72
+ "NOTE: You can turn off this warning by setting the MCA parameter\n",
73
+ " btl_openib_warn_no_device_params_found to 0.\n",
74
+ "--------------------------------------------------------------------------\n",
75
+ "--------------------------------------------------------------------------\n",
76
+ "No OpenFabrics connection schemes reported that they were able to be\n",
77
+ "used on a specific port. As such, the openib BTL (OpenFabrics\n",
78
+ "support) will be disabled for this port.\n",
79
+ "\n",
80
+ " Local host: 158-101-124-138\n",
81
+ " Local device: mlx5_0\n",
82
+ " Local port: 1\n",
83
+ " CPCs attempted: udcm\n",
84
+ "--------------------------------------------------------------------------\n",
85
+ "\u001b[34m\u001b[1moptimizer:\u001b[0m SGD(lr=0.01) with parameter groups 97 weight(decay=0.0), 104 weight(decay=0.0005), 103 bias\n",
86
+ "\u001b[34m\u001b[1mtrain: \u001b[0mScanning /home/ubuntu/Dataset/train/labels... 6091 images, 4 backgrounds,\u001b[0m\n",
87
+ "\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /home/ubuntu/Dataset/train/labels.cache\n",
88
+ "\u001b[34m\u001b[1mval: \u001b[0mScanning /home/ubuntu/Dataset/valid/labels... 2094 images, 0 backgrounds, 0\u001b[0m\n",
89
+ "\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /home/ubuntu/Dataset/valid/labels.cache\n",
90
+ "Image sizes 640 train, 640 val\n",
91
+ "Using 8 dataloader workers\n",
92
+ "Logging results to \u001b[1mruns/detect/train10\u001b[0m\n",
93
+ "Starting training for 100 epochs...\n",
94
+ "\n",
95
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
96
+ " 1/100 12.3G 1.745 2.153 1.78 46 640: 1\n",
97
+ " Class Images Instances Box(P R mAP50 m\n",
98
+ " all 2094 5214 0.481 0.388 0.369 0.179\n",
99
+ "\n",
100
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
101
+ " 2/100 15.1G 1.658 1.671 1.662 37 640: 1\n",
102
+ " Class Images Instances Box(P R mAP50 m\n",
103
+ " all 2094 5214 0.564 0.476 0.477 0.217\n",
104
+ "\n",
105
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
106
+ " 3/100 15.1G 1.757 1.817 1.744 36 640: 1\n",
107
+ " Class Images Instances Box(P R mAP50 m\n",
108
+ " all 2094 5214 0.478 0.353 0.338 0.151\n",
109
+ "\n",
110
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
111
+ " 4/100 15.1G 1.814 1.914 1.796 37 640: 1\n",
112
+ " Class Images Instances Box(P R mAP50 m\n",
113
+ " all 2094 5214 0.532 0.41 0.408 0.189\n",
114
+ "\n",
115
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
116
+ " 5/100 15.1G 1.789 1.863 1.79 46 640: 1\n",
117
+ " Class Images Instances Box(P R mAP50 m\n",
118
+ " all 2094 5214 0.538 0.43 0.44 0.206\n",
119
+ "\n",
120
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
121
+ " 6/100 15.1G 1.751 1.793 1.755 50 640: 1\n",
122
+ " Class Images Instances Box(P R mAP50 m\n",
123
+ " all 2094 5214 0.468 0.367 0.353 0.162\n",
124
+ "\n",
125
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
126
+ " 7/100 15.1G 1.718 1.746 1.748 58 640: 1\n",
127
+ " Class Images Instances Box(P R mAP50 m\n",
128
+ " all 2094 5214 0.631 0.511 0.549 0.271\n",
129
+ "\n",
130
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
131
+ " 8/100 15.1G 1.7 1.707 1.737 31 640: 1\n",
132
+ " Class Images Instances Box(P R mAP50 m\n",
133
+ " all 2094 5214 0.604 0.479 0.515 0.259\n",
134
+ "\n",
135
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
136
+ " 9/100 15.1G 1.671 1.681 1.709 50 640: 1\n",
137
+ " Class Images Instances Box(P R mAP50 m\n",
138
+ " all 2094 5214 0.618 0.496 0.532 0.267\n",
139
+ "\n",
140
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
141
+ " 10/100 15.1G 1.66 1.635 1.713 23 640: 1\n",
142
+ " Class Images Instances Box(P R mAP50 m\n",
143
+ " all 2094 5214 0.652 0.532 0.577 0.298\n",
144
+ "\n",
145
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
146
+ " 11/100 15.1G 1.632 1.592 1.69 44 640: 1\n",
147
+ " Class Images Instances Box(P R mAP50 m\n",
148
+ " all 2094 5214 0.702 0.538 0.607 0.308\n",
149
+ "\n",
150
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
151
+ " 12/100 15.1G 1.622 1.58 1.685 36 640: 1\n",
152
+ " Class Images Instances Box(P R mAP50 m\n",
153
+ " all 2094 5214 0.663 0.56 0.615 0.322\n",
154
+ "\n",
155
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
156
+ " 13/100 15.1G 1.594 1.544 1.666 35 640: 1\n",
157
+ " Class Images Instances Box(P R mAP50 m\n",
158
+ " all 2094 5214 0.673 0.565 0.611 0.318\n",
159
+ "\n",
160
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
161
+ " 14/100 15.1G 1.581 1.52 1.656 48 640: 1\n",
162
+ " Class Images Instances Box(P R mAP50 m\n",
163
+ " all 2094 5214 0.678 0.598 0.643 0.334\n",
164
+ "\n",
165
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
166
+ " 15/100 15.1G 1.568 1.491 1.642 29 640: 1\n",
167
+ " Class Images Instances Box(P R mAP50 m\n",
168
+ " all 2094 5214 0.686 0.555 0.611 0.315\n",
169
+ "\n",
170
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
171
+ " 16/100 15.1G 1.554 1.488 1.647 27 640: 1\n",
172
+ " Class Images Instances Box(P R mAP50 m\n",
173
+ " all 2094 5214 0.687 0.585 0.646 0.337\n",
174
+ "\n",
175
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
176
+ " 17/100 15.1G 1.533 1.457 1.63 30 640: 1\n",
177
+ " Class Images Instances Box(P R mAP50 m\n",
178
+ " all 2094 5214 0.723 0.606 0.678 0.359\n",
179
+ "\n",
180
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
181
+ " 18/100 15.1G 1.529 1.418 1.608 54 640: 1\n",
182
+ " Class Images Instances Box(P R mAP50 m\n",
183
+ " all 2094 5214 0.716 0.609 0.673 0.356\n",
184
+ "\n",
185
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
186
+ " 19/100 15.1G 1.51 1.384 1.601 40 640: 1\n",
187
+ " Class Images Instances Box(P R mAP50 m\n",
188
+ " all 2094 5214 0.732 0.627 0.687 0.367\n",
189
+ "\n",
190
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
191
+ " 20/100 15.1G 1.499 1.36 1.59 36 640: 1\n",
192
+ " Class Images Instances Box(P R mAP50 m\n",
193
+ " all 2094 5214 0.701 0.607 0.654 0.349\n",
194
+ "\n",
195
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
196
+ " 21/100 15.1G 1.484 1.356 1.581 51 640: 1\n",
197
+ " Class Images Instances Box(P R mAP50 m\n",
198
+ " all 2094 5214 0.725 0.624 0.686 0.376\n",
199
+ "\n",
200
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
201
+ " 22/100 15.1G 1.473 1.353 1.576 37 640: 1\n",
202
+ " Class Images Instances Box(P R mAP50 m\n",
203
+ " all 2094 5214 0.707 0.639 0.682 0.371\n",
204
+ "\n",
205
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
206
+ " 23/100 15.1G 1.462 1.335 1.575 49 640: 1\n",
207
+ " Class Images Instances Box(P R mAP50 m\n",
208
+ " all 2094 5214 0.733 0.643 0.699 0.381\n",
209
+ "\n",
210
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
211
+ " 24/100 15.1G 1.463 1.325 1.566 49 640: 1\n",
212
+ " Class Images Instances Box(P R mAP50 m\n",
213
+ " all 2094 5214 0.747 0.651 0.71 0.391\n",
214
+ "\n",
215
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
216
+ " 25/100 15.1G 1.431 1.306 1.56 30 640: 1\n",
217
+ " Class Images Instances Box(P R mAP50 m\n",
218
+ " all 2094 5214 0.738 0.632 0.7 0.389\n",
219
+ "\n",
220
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
221
+ " 26/100 15.1G 1.43 1.277 1.546 32 640: 1\n",
222
+ " Class Images Instances Box(P R mAP50 m\n",
223
+ " all 2094 5214 0.751 0.648 0.709 0.391\n",
224
+ "\n",
225
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
226
+ " 27/100 15.1G 1.414 1.274 1.542 32 640: 1\n",
227
+ " Class Images Instances Box(P R mAP50 m\n",
228
+ " all 2094 5214 0.765 0.653 0.727 0.4\n",
229
+ "\n",
230
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
231
+ " 28/100 15.1G 1.407 1.261 1.528 45 640: 1\n",
232
+ " Class Images Instances Box(P R mAP50 m\n",
233
+ " all 2094 5214 0.745 0.674 0.732 0.406\n",
234
+ "\n",
235
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
236
+ " 29/100 15.1G 1.41 1.236 1.535 50 640: 1\n",
237
+ " Class Images Instances Box(P R mAP50 m\n",
238
+ " all 2094 5214 0.761 0.658 0.726 0.414\n",
239
+ "\n",
240
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
241
+ " 30/100 15.1G 1.394 1.245 1.525 48 640: 1\n",
242
+ " Class Images Instances Box(P R mAP50 m\n",
243
+ " all 2094 5214 0.783 0.653 0.735 0.419\n",
244
+ "\n",
245
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
246
+ " 31/100 15.1G 1.366 1.211 1.5 28 640: 1\n",
247
+ " Class Images Instances Box(P R mAP50 m\n",
248
+ " all 2094 5214 0.782 0.651 0.726 0.407\n",
249
+ "\n",
250
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
251
+ " 32/100 15.1G 1.369 1.208 1.5 30 640: 1\n",
252
+ " Class Images Instances Box(P R mAP50 m\n",
253
+ " all 2094 5214 0.763 0.681 0.745 0.427\n",
254
+ "\n",
255
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
256
+ " 33/100 15.1G 1.353 1.175 1.489 51 640: 1\n",
257
+ " Class Images Instances Box(P R mAP50 m\n",
258
+ " all 2094 5214 0.761 0.684 0.747 0.434\n",
259
+ "\n",
260
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
261
+ " 34/100 15.1G 1.349 1.177 1.491 28 640: 1\n",
262
+ " Class Images Instances Box(P R mAP50 m\n",
263
+ " all 2094 5214 0.784 0.678 0.755 0.437\n",
264
+ "\n",
265
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
266
+ " 35/100 15.1G 1.343 1.185 1.48 27 640: 1\n",
267
+ " Class Images Instances Box(P R mAP50 m\n",
268
+ " all 2094 5214 0.786 0.679 0.757 0.443\n",
269
+ "\n",
270
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
271
+ " 36/100 15.1G 1.316 1.142 1.457 45 640: 1\n",
272
+ " Class Images Instances Box(P R mAP50 m\n",
273
+ " all 2094 5214 0.788 0.692 0.762 0.448\n",
274
+ "\n",
275
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
276
+ " 37/100 15.1G 1.323 1.152 1.468 52 640: 1\n",
277
+ " Class Images Instances Box(P R mAP50 m\n",
278
+ " all 2094 5214 0.805 0.697 0.775 0.458\n",
279
+ "\n",
280
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
281
+ " 38/100 15.1G 1.308 1.139 1.459 45 640: 1\n",
282
+ " Class Images Instances Box(P R mAP50 m\n",
283
+ " all 2094 5214 0.801 0.701 0.775 0.464\n",
284
+ "\n",
285
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
286
+ " 39/100 15.1G 1.293 1.11 1.437 46 640: 1\n",
287
+ " Class Images Instances Box(P R mAP50 m\n",
288
+ " all 2094 5214 0.805 0.704 0.777 0.459\n",
289
+ "\n",
290
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
291
+ " 40/100 15.1G 1.296 1.115 1.452 29 640: 1\n",
292
+ " Class Images Instances Box(P R mAP50 m\n",
293
+ " all 2094 5214 0.808 0.709 0.783 0.466\n",
294
+ "\n",
295
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
296
+ " 41/100 15.1G 1.272 1.086 1.437 27 640: 1\n",
297
+ " Class Images Instances Box(P R mAP50 m\n",
298
+ " all 2094 5214 0.824 0.702 0.777 0.47\n",
299
+ "\n",
300
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
301
+ " Class Images Instances Box(P R mAP50 m\n",
302
+ " all 2094 5214 0.814 0.704 0.784 0.479\n",
303
+ "\n",
304
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
305
+ " 43/100 15.1G 1.273 1.085 1.433 39 640: 1\n",
306
+ " Class Images Instances Box(P R mAP50 m\n",
307
+ " all 2094 5214 0.827 0.716 0.79 0.483\n",
308
+ "\n",
309
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
310
+ " 44/100 15.1G 1.254 1.074 1.407 55 640: 1\n",
311
+ " Class Images Instances Box(P R mAP50 m\n",
312
+ " all 2094 5214 0.814 0.707 0.778 0.475\n",
313
+ "\n",
314
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
315
+ " 45/100 15.1G 1.236 1.032 1.402 30 640: 1\n",
316
+ " Class Images Instances Box(P R mAP50 m\n",
317
+ " all 2094 5214 0.839 0.705 0.79 0.492\n",
318
+ "\n",
319
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
320
+ " 46/100 15.1G 1.237 1.046 1.407 29 640: 1\n",
321
+ " Class Images Instances Box(P R mAP50 m\n",
322
+ " all 2094 5214 0.824 0.731 0.806 0.503\n",
323
+ "\n",
324
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
325
+ " 47/100 15.1G 1.222 1.033 1.395 25 640: 1\n",
326
+ " Class Images Instances Box(P R mAP50 m\n",
327
+ " all 2094 5214 0.832 0.742 0.808 0.508\n",
328
+ "\n",
329
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
330
+ " 48/100 15.1G 1.217 1.041 1.39 36 640: 1\n",
331
+ " Class Images Instances Box(P R mAP50 m\n",
332
+ " all 2094 5214 0.833 0.736 0.803 0.504\n",
333
+ "\n",
334
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
335
+ " 49/100 15.1G 1.202 1.006 1.382 37 640: 1\n",
336
+ " Class Images Instances Box(P R mAP50 m\n",
337
+ " all 2094 5214 0.838 0.73 0.801 0.507\n",
338
+ "\n",
339
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
340
+ " 50/100 15.1G 1.211 1.022 1.385 37 640: 1\n",
341
+ " Class Images Instances Box(P R mAP50 m\n",
342
+ " all 2094 5214 0.846 0.725 0.806 0.514\n",
343
+ "\n",
344
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
345
+ " 51/100 15.1G 1.207 1.022 1.378 47 640: 1\n",
346
+ " Class Images Instances Box(P R mAP50 m\n",
347
+ " all 2094 5214 0.843 0.726 0.8 0.505\n",
348
+ "\n",
349
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
350
+ " 52/100 15.1G 1.183 1.005 1.363 50 640: 1\n",
351
+ " Class Images Instances Box(P R mAP50 m\n",
352
+ " all 2094 5214 0.831 0.744 0.811 0.515\n",
353
+ "\n",
354
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
355
+ " 53/100 15.1G 1.187 1.004 1.368 35 640: 1\n",
356
+ " Class Images Instances Box(P R mAP50 m\n",
357
+ " all 2094 5214 0.86 0.728 0.815 0.526\n",
358
+ "\n",
359
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
360
+ " 54/100 15.1G 1.171 0.9915 1.363 39 640: 1\n",
361
+ " Class Images Instances Box(P R mAP50 m\n",
362
+ " all 2094 5214 0.835 0.747 0.816 0.53\n",
363
+ "\n",
364
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
365
+ " 55/100 15.1G 1.164 0.9765 1.355 40 640: 1\n",
366
+ " Class Images Instances Box(P R mAP50 m\n",
367
+ " all 2094 5214 0.847 0.738 0.812 0.528\n",
368
+ "\n",
369
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
370
+ " 56/100 15.1G 1.151 0.9672 1.352 40 640: 1\n",
371
+ " Class Images Instances Box(P R mAP50 m\n",
372
+ " all 2094 5214 0.845 0.75 0.813 0.523\n",
373
+ "\n",
374
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
375
+ " 57/100 15.1G 1.139 0.9553 1.346 33 640: 1\n",
376
+ " Class Images Instances Box(P R mAP50 m\n",
377
+ " all 2094 5214 0.841 0.747 0.817 0.534\n",
378
+ "\n",
379
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
380
+ " 58/100 15.1G 1.133 0.9477 1.332 42 640: 1\n",
381
+ " Class Images Instances Box(P R mAP50 m\n",
382
+ " all 2094 5214 0.848 0.75 0.827 0.543\n",
383
+ "\n",
384
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
385
+ " 59/100 15.1G 1.129 0.9347 1.334 33 640: 1\n",
386
+ " Class Images Instances Box(P R mAP50 m\n",
387
+ " all 2094 5214 0.863 0.746 0.822 0.542\n",
388
+ "\n",
389
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
390
+ " 60/100 15.1G 1.122 0.9287 1.323 27 640: 1\n",
391
+ " Class Images Instances Box(P R mAP50 m\n",
392
+ " all 2094 5214 0.854 0.753 0.821 0.545\n",
393
+ "\n",
394
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
395
+ " 61/100 15.1G 1.119 0.9338 1.319 40 640: 1\n",
396
+ " Class Images Instances Box(P R mAP50 m\n",
397
+ " all 2094 5214 0.857 0.75 0.825 0.551\n",
398
+ "\n",
399
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
400
+ " 62/100 15.1G 1.11 0.922 1.314 44 640: 1\n",
401
+ " Class Images Instances Box(P R mAP50 m\n",
402
+ " all 2094 5214 0.857 0.759 0.827 0.554\n",
403
+ "\n",
404
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
405
+ " 63/100 15.1G 1.095 0.9126 1.302 38 640: 1\n",
406
+ " Class Images Instances Box(P R mAP50 m\n",
407
+ " all 2094 5214 0.853 0.759 0.829 0.557\n",
408
+ "\n",
409
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
410
+ " 64/100 15.1G 1.099 0.9194 1.303 22 640: 1\n",
411
+ " Class Images Instances Box(P R mAP50 m\n",
412
+ " all 2094 5214 0.87 0.753 0.831 0.562\n",
413
+ "\n",
414
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
415
+ " 65/100 15.1G 1.082 0.9035 1.289 35 640: 1\n",
416
+ " Class Images Instances Box(P R mAP50 m\n",
417
+ " all 2094 5214 0.865 0.756 0.832 0.564\n",
418
+ "\n",
419
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
420
+ " 66/100 15.1G 1.085 0.8965 1.284 25 640: 1\n",
421
+ " Class Images Instances Box(P R mAP50 m\n",
422
+ " all 2094 5214 0.87 0.75 0.829 0.565\n",
423
+ "\n",
424
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
425
+ " 67/100 15.1G 1.073 0.8829 1.271 29 640: 1\n",
426
+ " Class Images Instances Box(P R mAP50 m\n",
427
+ " all 2094 5214 0.87 0.756 0.835 0.57\n",
428
+ "\n",
429
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
430
+ " 68/100 15.1G 1.061 0.8676 1.28 36 640: 1\n",
431
+ " Class Images Instances Box(P R mAP50 m\n",
432
+ " all 2094 5214 0.876 0.751 0.825 0.565\n",
433
+ "\n",
434
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
435
+ " 69/100 15.1G 1.05 0.8651 1.272 17 640: 1\n",
436
+ " Class Images Instances Box(P R mAP50 m\n",
437
+ " all 2094 5214 0.875 0.753 0.83 0.57\n",
438
+ "\n",
439
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
440
+ " 70/100 15.1G 1.036 0.8491 1.255 29 640: 1\n",
441
+ " Class Images Instances Box(P R mAP50 m\n",
442
+ " all 2094 5214 0.884 0.75 0.83 0.572\n",
443
+ "\n",
444
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
445
+ " 71/100 15.1G 1.047 0.8793 1.269 51 640: 1\n",
446
+ " Class Images Instances Box(P R mAP50 m\n",
447
+ " all 2094 5214 0.871 0.755 0.828 0.574\n",
448
+ "\n",
449
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
450
+ " 72/100 15.1G 1.031 0.8529 1.259 23 640: 1\n",
451
+ " Class Images Instances Box(P R mAP50 m\n",
452
+ " all 2094 5214 0.876 0.753 0.825 0.567\n",
453
+ "\n",
454
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
455
+ " 73/100 15.1G 1.021 0.8454 1.253 39 640: 1\n",
456
+ " Class Images Instances Box(P R mAP50 m\n",
457
+ " all 2094 5214 0.878 0.752 0.827 0.57\n",
458
+ "\n",
459
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
460
+ " 74/100 15.1G 1.009 0.835 1.244 40 640: 1\n",
461
+ " Class Images Instances Box(P R mAP50 m\n",
462
+ " all 2094 5214 0.887 0.746 0.825 0.574\n",
463
+ "\n",
464
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
465
+ " 75/100 15.1G 1.007 0.8348 1.252 25 640: 1\n",
466
+ " Class Images Instances Box(P R mAP50 m\n",
467
+ " all 2094 5214 0.877 0.749 0.829 0.577\n",
468
+ "\n",
469
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
470
+ " 76/100 15.1G 1.013 0.8338 1.24 28 640: 1\n",
471
+ " Class Images Instances Box(P R mAP50 m\n",
472
+ " all 2094 5214 0.879 0.747 0.824 0.573\n",
473
+ "\n",
474
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
475
+ " 77/100 15.1G 0.9942 0.8244 1.235 45 640: 1\n",
476
+ " Class Images Instances Box(P R mAP50 m\n",
477
+ " all 2094 5214 0.877 0.751 0.828 0.578\n",
478
+ "\n",
479
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
480
+ " 78/100 15.1G 0.9697 0.8026 1.228 28 640: 1\n",
481
+ " Class Images Instances Box(P R mAP50 m\n",
482
+ " all 2094 5214 0.892 0.752 0.831 0.582\n",
483
+ "\n",
484
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
485
+ " 79/100 15.1G 0.9774 0.8125 1.232 37 640: 1\n",
486
+ " Class Images Instances Box(P R mAP50 m\n",
487
+ " all 2094 5214 0.889 0.755 0.832 0.583\n",
488
+ "\n",
489
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
490
+ " 80/100 15.1G 0.9647 0.7974 1.215 29 640: 1\n",
491
+ " Class Images Instances Box(P R mAP50 m\n",
492
+ " all 2094 5214 0.898 0.746 0.832 0.588\n",
493
+ "\n",
494
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
495
+ " 81/100 15.1G 0.9608 0.8017 1.22 34 640: 1\n",
496
+ " Class Images Instances Box(P R mAP50 m\n",
497
+ " all 2094 5214 0.889 0.758 0.833 0.591\n",
498
+ "\n",
499
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
500
+ " 82/100 15.1G 0.9584 0.7996 1.212 23 640: 1\n",
501
+ " Class Images Instances Box(P R mAP50 m\n",
502
+ " all 2094 5214 0.889 0.75 0.83 0.591\n",
503
+ "\n",
504
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
505
+ " 83/100 15.1G 0.9418 0.7796 1.205 51 640: 1\n",
506
+ " Class Images Instances Box(P R mAP50 m\n",
507
+ " all 2094 5214 0.894 0.753 0.831 0.591\n",
508
+ "\n",
509
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
510
+ " 84/100 15.1G 0.9472 0.7892 1.206 56 640: 1\n",
511
+ " Class Images Instances Box(P R mAP50 m\n",
512
+ " all 2094 5214 0.885 0.761 0.832 0.591\n",
513
+ "\n",
514
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
515
+ " 85/100 15.1G 0.9538 0.7975 1.215 26 640: 1\n",
516
+ " Class Images Instances Box(P R mAP50 m\n",
517
+ " all 2094 5214 0.881 0.764 0.83 0.593\n",
518
+ "\n",
519
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
520
+ " 86/100 15.1G 0.9328 0.7684 1.2 28 640: 1\n",
521
+ " Class Images Instances Box(P R mAP50 m\n",
522
+ " all 2094 5214 0.891 0.758 0.832 0.596\n",
523
+ "\n",
524
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
525
+ " 87/100 15.1G 0.9253 0.7695 1.193 26 640: 1\n",
526
+ " Class Images Instances Box(P R mAP50 m\n",
527
+ " all 2094 5214 0.888 0.757 0.829 0.594\n",
528
+ "\n",
529
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
530
+ " 88/100 15.1G 0.9042 0.7459 1.182 41 640: 1\n",
531
+ " Class Images Instances Box(P R mAP50 m\n",
532
+ " all 2094 5214 0.889 0.751 0.829 0.596\n",
533
+ "\n",
534
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
535
+ " 89/100 15.1G 0.91 0.756 1.19 38 640: 1\n",
536
+ " Class Images Instances Box(P R mAP50 m\n",
537
+ " all 2094 5214 0.89 0.754 0.828 0.595\n",
538
+ "\n",
539
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
540
+ " 90/100 15.1G 0.8991 0.7469 1.175 43 640: 1\n",
541
+ " Class Images Instances Box(P R mAP50 m\n",
542
+ " all 2094 5214 0.888 0.752 0.829 0.597\n",
543
+ "Closing dataloader mosaic\n",
544
+ "\n",
545
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
546
+ " 91/100 15.1G 0.8567 0.4992 1.141 22 640: 1\n",
547
+ " Class Images Instances Box(P R mAP50 m\n",
548
+ " all 2094 5214 0.882 0.759 0.832 0.602\n",
549
+ "\n",
550
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
551
+ " 92/100 15.1G 0.8237 0.472 1.118 27 640: 1\n",
552
+ " Class Images Instances Box(P R mAP50 m\n",
553
+ " all 2094 5214 0.893 0.753 0.836 0.607\n",
554
+ "\n",
555
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
556
+ " 93/100 15.1G 0.8052 0.4655 1.102 20 640: 1\n",
557
+ " Class Images Instances Box(P R mAP50 m\n",
558
+ " all 2094 5214 0.892 0.759 0.836 0.609\n",
559
+ "\n",
560
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
561
+ " 94/100 15.1G 0.8046 0.4628 1.107 32 640: 1\n",
562
+ " Class Images Instances Box(P R mAP50 m\n",
563
+ " all 2094 5214 0.887 0.758 0.834 0.61\n",
564
+ "\n",
565
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
566
+ " 95/100 15.1G 0.7941 0.4492 1.097 31 640: 1\n",
567
+ " Class Images Instances Box(P R mAP50 m\n",
568
+ " all 2094 5214 0.879 0.762 0.833 0.611\n",
569
+ "\n",
570
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
571
+ " 96/100 15.1G 0.7839 0.445 1.093 29 640: 1\n",
572
+ " Class Images Instances Box(P R mAP50 m\n",
573
+ " all 2094 5214 0.884 0.763 0.834 0.613\n",
574
+ "\n",
575
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
576
+ " 97/100 15.1G 0.7733 0.4419 1.087 29 640: 1\n",
577
+ " Class Images Instances Box(P R mAP50 m\n",
578
+ " all 2094 5214 0.886 0.761 0.833 0.613\n",
579
+ "\n",
580
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
581
+ " 98/100 15.1G 0.7594 0.4302 1.074 38 640: 1\n",
582
+ " Class Images Instances Box(P R mAP50 m\n",
583
+ " all 2094 5214 0.89 0.758 0.833 0.614\n",
584
+ "\n",
585
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
586
+ " 99/100 15.1G 0.7513 0.4248 1.072 13 640: 1\n",
587
+ " Class Images Instances Box(P R mAP50 m\n",
588
+ " all 2094 5214 0.896 0.753 0.833 0.614\n",
589
+ "\n",
590
+ " Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n",
591
+ " 100/100 15.1G 0.7498 0.4216 1.07 30 640: 1\n",
592
+ " Class Images Instances Box(P R mAP50 m\n",
593
+ " all 2094 5214 0.885 0.761 0.831 0.615\n",
594
+ "\n",
595
+ "100 epochs completed in 2.577 hours.\n",
596
+ "Optimizer stripped from runs/detect/train10/weights/last.pt, 136.7MB\n",
597
+ "Optimizer stripped from runs/detect/train10/weights/best.pt, 136.7MB\n",
598
+ "\n",
599
+ "Validating runs/detect/train10/weights/best.pt...\n",
600
+ "Ultralytics YOLOv8.0.13 🚀 Python-3.8.10 torch-1.12.1 CUDA:0 (NVIDIA A100-SXM4-40GB, 40396MiB)\n",
601
+ "Fusing... \n",
602
+ "Model summary: 268 layers, 68124531 parameters, 0 gradients, 257.4 GFLOPs\n",
603
+ " Class Images Instances Box(P R mAP50 m\n",
604
+ " all 2094 5214 0.885 0.761 0.831 0.614\n",
605
+ "Speed: 0.1ms pre-process, 3.1ms inference, 0.0ms loss, 0.5ms post-process per image\n",
606
+ "Saving runs/detect/train10/predictions.json...\n",
607
+ "Results saved to \u001b[1mruns/detect/train10\u001b[0m\n"
608
+ ]
609
+ }
610
+ ],
611
+ "source": [
612
+ "!yolo task=detect mode=train model=yolov8x.pt data='Dataset/data.yaml' epochs=100 imgsz=640 v5loader=True"
613
+ ]
614
+ },
615
+ {
616
+ "cell_type": "code",
617
+ "execution_count": null,
618
+ "id": "0a97bd45-a8e5-4238-bf04-83d7ad521a5d",
619
+ "metadata": {},
620
+ "outputs": [],
621
+ "source": []
622
+ }
623
+ ],
624
+ "metadata": {
625
+ "kernelspec": {
626
+ "display_name": "Python 3",
627
+ "language": "python",
628
+ "name": "python3"
629
+ },
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+ "language_info": {
631
+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
638
+ "nbconvert_exporter": "python",
639
+ "pygments_lexer": "ipython3",
640
+ "version": "3.8.10"
641
+ }
642
+ },
643
+ "nbformat": 4,
644
+ "nbformat_minor": 5
645
+ }
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@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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