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{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","authorship_tag":"ABX9TyNLxWLmgg3+FUe8S5Ok1XrD"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","source":["%pip install ultralytics"],"metadata":{"id":"UHU3mtCSxqrZ"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"g2E9tk65xRgm"},"outputs":[],"source":["from ultralytics import YOLO\n","import os\n","from pathlib import Path\n","import torch"]},{"cell_type":"code","source":["# Mount Google Drive\n","from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"8zMhjTaPxlDf","executionInfo":{"status":"ok","timestamp":1748909783078,"user_tz":-300,"elapsed":29966,"user":{"displayName":"Ramzan","userId":"08951432166749336452"}},"outputId":"073e626b-ff93-4cd8-e7df-56f35cc2d3d3"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"code","source":["# Setup paths\n","dataset_yaml = '/content/drive/MyDrive/Flash Detection Project/Dataset/data.yaml'\n","model_save_dir = Path('/content/drive/MyDrive/Flash Detection Project/Model_Files')\n","eval_save_dir = Path('/content/drive/MyDrive/Flash Detection Project/Model_Evaluation')"],"metadata":{"id":"IIqPxHtNxoJO"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["#Initialize YOLOv8n model\n","model = YOLO(\"yolo11n.pt\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_k_Rzb5cx78Y","executionInfo":{"status":"ok","timestamp":1748887765237,"user_tz":-300,"elapsed":2153,"user":{"displayName":"Ramzan","userId":"08951432166749336452"}},"outputId":"886f4e42-213b-46da-81a9-0b4922254649"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading https://github.com/ultralytics/assets/releases/download/v8.3.0/yolo11n.pt to 'yolo11n.pt'...\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 5.35M/5.35M [00:00<00:00, 111MB/s]\n"]}]},{"cell_type":"code","source":["# Training configuration (optimized for Colab)\n","training_results = model.train(\n"," data=dataset_yaml,\n"," epochs=50,\n"," patience=10,\n"," batch=16,\n"," imgsz=640,\n","\n"," save=True,\n"," save_period=1,\n"," project=str(model_save_dir),\n"," name='flash_detection',\n"," exist_ok=True,\n"," optimizer='auto',\n"," lr0=0.01,\n"," lrf=0.01,\n"," warmup_epochs=3,\n"," cos_lr=True,\n"," resume=False,\n"," device='cuda' if torch.cuda.is_available() else 'cpu',\n"," workers=2, # Reduced for Colab stability\n"," seed=42 # For reproducibility\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-Ui4ywUmx-wC","executionInfo":{"status":"ok","timestamp":1748888943022,"user_tz":-300,"elapsed":1172593,"user":{"displayName":"Ramzan","userId":"08951432166749336452"}},"outputId":"fa182bb0-9135-4665-a375-a1dda19a92ac"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Ultralytics 8.3.147 🚀 Python-3.11.12 torch-2.6.0+cu124 CUDA:0 (Tesla T4, 15095MiB)\n","\u001b[34m\u001b[1mengine/trainer: \u001b[0magnostic_nms=False, amp=True, augment=False, auto_augment=randaugment, batch=16, bgr=0.0, box=7.5, cache=False, cfg=None, classes=None, close_mosaic=10, cls=0.5, conf=None, copy_paste=0.0, copy_paste_mode=flip, cos_lr=True, cutmix=0.0, data=/content/drive/MyDrive/Flash Detection Project/Dataset/data.yaml, degrees=0.0, deterministic=True, device=0, dfl=1.5, dnn=False, dropout=0.0, dynamic=False, embed=None, epochs=50, erasing=0.4, exist_ok=True, fliplr=0.5, flipud=0.0, format=torchscript, fraction=1.0, freeze=None, half=False, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, imgsz=640, int8=False, iou=0.7, keras=False, kobj=1.0, line_width=None, lr0=0.01, lrf=0.01, mask_ratio=4, max_det=300, mixup=0.0, mode=train, model=yolo11n.pt, momentum=0.937, mosaic=1.0, multi_scale=False, name=flash_detection, nbs=64, nms=False, opset=None, optimize=False, optimizer=auto, overlap_mask=True, patience=10, perspective=0.0, plots=True, pose=12.0, pretrained=True, profile=False, project=/content/drive/MyDrive/Flash Detection Project/Model_Files, rect=False, resume=False, retina_masks=False, save=True, save_conf=False, save_crop=False, save_dir=/content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection, save_frames=False, save_json=False, save_period=1, save_txt=False, scale=0.5, seed=42, shear=0.0, show=False, show_boxes=True, show_conf=True, show_labels=True, simplify=True, single_cls=False, source=None, split=val, stream_buffer=False, task=detect, time=None, tracker=botsort.yaml, translate=0.1, val=True, verbose=True, vid_stride=1, visualize=False, warmup_bias_lr=0.1, warmup_epochs=3, warmup_momentum=0.8, weight_decay=0.0005, workers=2, workspace=None\n","Downloading https://ultralytics.com/assets/Arial.ttf to '/root/.config/Ultralytics/Arial.ttf'...\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 755k/755k [00:00<00:00, 20.1MB/s]"]},{"output_type":"stream","name":"stdout","text":["Overriding model.yaml nc=80 with nc=1\n","\n"," from n params module arguments \n"," 0 -1 1 464 ultralytics.nn.modules.conv.Conv [3, 16, 3, 2] \n"," 1 -1 1 4672 ultralytics.nn.modules.conv.Conv [16, 32, 3, 2] \n"," 2 -1 1 6640 ultralytics.nn.modules.block.C3k2 [32, 64, 1, False, 0.25] \n"," 3 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n"," 4 -1 1 26080 ultralytics.nn.modules.block.C3k2 [64, 128, 1, False, 0.25] \n"," 5 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n"," 6 -1 1 87040 ultralytics.nn.modules.block.C3k2 [128, 128, 1, True] \n"," 7 -1 1 295424 ultralytics.nn.modules.conv.Conv [128, 256, 3, 2] \n"," 8 -1 1 346112 ultralytics.nn.modules.block.C3k2 [256, 256, 1, True] \n"," 9 -1 1 164608 ultralytics.nn.modules.block.SPPF [256, 256, 5] \n"," 10 -1 1 249728 ultralytics.nn.modules.block.C2PSA [256, 256, 1] \n"," 11 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n"," 12 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"," 13 -1 1 111296 ultralytics.nn.modules.block.C3k2 [384, 128, 1, False] \n"," 14 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n"," 15 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"," 16 -1 1 32096 ultralytics.nn.modules.block.C3k2 [256, 64, 1, False] \n"," 17 -1 1 36992 ultralytics.nn.modules.conv.Conv [64, 64, 3, 2] \n"," 18 [-1, 13] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"," 19 -1 1 86720 ultralytics.nn.modules.block.C3k2 [192, 128, 1, False] \n"," 20 -1 1 147712 ultralytics.nn.modules.conv.Conv [128, 128, 3, 2] \n"," 21 [-1, 10] 1 0 ultralytics.nn.modules.conv.Concat [1] \n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":[" 22 -1 1 378880 ultralytics.nn.modules.block.C3k2 [384, 256, 1, True] \n"," 23 [16, 19, 22] 1 430867 ultralytics.nn.modules.head.Detect [1, [64, 128, 256]] \n","YOLO11n summary: 181 layers, 2,590,035 parameters, 2,590,019 gradients, 6.4 GFLOPs\n","\n","Transferred 448/499 items from pretrained weights\n","Freezing layer 'model.23.dfl.conv.weight'\n","\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n","\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n","\u001b[34m\u001b[1mtrain: \u001b[0mFast image access ✅ (ping: 0.5±0.1 ms, read: 2.9±5.4 MB/s, size: 942.5 KB)\n"]},{"output_type":"stream","name":"stderr","text":["\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/My Drive/Flash Detection Project/Dataset/labels/train.cache... 392 images, 73 backgrounds, 0 corrupt: 100%|██████████| 400/400 [00:00<?, ?it/s]\n"]},{"output_type":"stream","name":"stdout","text":["\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n","\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 35.0±64.9 ms, read: 27.7±58.0 MB/s, size: 751.9 KB)\n"]},{"output_type":"stream","name":"stderr","text":["\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/My Drive/Flash Detection Project/Dataset/labels/val.cache... 98 images, 17 backgrounds, 0 corrupt: 100%|██████████| 100/100 [00:00<?, ?it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Plotting labels to /content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection/labels.jpg... \n","\u001b[34m\u001b[1moptimizer:\u001b[0m 'optimizer=auto' found, ignoring 'lr0=0.01' and 'momentum=0.937' and determining best 'optimizer', 'lr0' and 'momentum' automatically... \n","\u001b[34m\u001b[1moptimizer:\u001b[0m AdamW(lr=0.002, momentum=0.9) with parameter groups 81 weight(decay=0.0), 88 weight(decay=0.0005), 87 bias(decay=0.0)\n","Image sizes 640 train, 640 val\n","Using 2 dataloader workers\n","Logging results to \u001b[1m/content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection\u001b[0m\n","Starting training for 50 epochs...\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 1/50 2.35G 2.179 3.71 1.826 51 640: 100%|██████████| 25/25 [00:19<00:00, 1.28it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:06<00:00, 1.54s/it]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.00603 0.804 0.0309 0.0109\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 2/50 2.74G 1.873 2.777 1.53 40 640: 100%|██████████| 25/25 [00:17<00:00, 1.40it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.56it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.00627 0.542 0.203 0.0809\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 3/50 2.76G 1.763 2.402 1.431 57 640: 100%|██████████| 25/25 [00:21<00:00, 1.18it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 3.06it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.00835 0.542 0.00726 0.0032\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 4/50 2.76G 1.755 2.305 1.46 42 640: 100%|██████████| 25/25 [00:17<00:00, 1.44it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.25it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.519 0.173 0.231 0.0915\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 5/50 2.76G 1.684 1.967 1.427 48 640: 100%|██████████| 25/25 [00:20<00:00, 1.25it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.46it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.049 0.387 0.0357 0.0147\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 6/50 2.76G 1.715 1.928 1.455 54 640: 100%|██████████| 25/25 [00:18<00:00, 1.32it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.56it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.467 0.338 0.326 0.128\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 7/50 2.77G 1.685 1.87 1.376 50 640: 100%|██████████| 25/25 [00:18<00:00, 1.37it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.25it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.463 0.402 0.397 0.18\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 8/50 2.79G 1.584 1.769 1.35 64 640: 100%|██████████| 25/25 [00:19<00:00, 1.31it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.98it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.513 0.569 0.534 0.254\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 9/50 2.8G 1.569 1.695 1.35 42 640: 100%|██████████| 25/25 [00:18<00:00, 1.37it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.50it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.474 0.444 0.426 0.202\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 10/50 2.82G 1.576 1.732 1.343 46 640: 100%|██████████| 25/25 [00:19<00:00, 1.27it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.99it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.467 0.449 0.43 0.233\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 11/50 2.82G 1.512 1.641 1.306 40 640: 100%|██████████| 25/25 [00:17<00:00, 1.44it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.70it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.63 0.596 0.616 0.334\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 12/50 2.82G 1.487 1.56 1.276 55 640: 100%|██████████| 25/25 [00:21<00:00, 1.18it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.47it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.598 0.587 0.582 0.295\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 13/50 2.82G 1.513 1.508 1.302 43 640: 100%|██████████| 25/25 [00:19<00:00, 1.31it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.50it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.638 0.556 0.632 0.34\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 14/50 2.82G 1.465 1.517 1.269 41 640: 100%|██████████| 25/25 [00:20<00:00, 1.20it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 3.22it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.595 0.549 0.562 0.281\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 15/50 2.82G 1.527 1.469 1.335 69 640: 100%|██████████| 25/25 [00:18<00:00, 1.37it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.70it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.579 0.582 0.591 0.297\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 16/50 2.82G 1.495 1.446 1.308 62 640: 100%|██████████| 25/25 [00:17<00:00, 1.39it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.31it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.513 0.511 0.445 0.19\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 17/50 2.82G 1.513 1.451 1.292 38 640: 100%|██████████| 25/25 [00:19<00:00, 1.27it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.98it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.64 0.529 0.588 0.288\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 18/50 2.82G 1.414 1.387 1.241 27 640: 100%|██████████| 25/25 [00:17<00:00, 1.39it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.23it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.657 0.545 0.603 0.333\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 19/50 2.82G 1.414 1.356 1.247 43 640: 100%|██████████| 25/25 [00:19<00:00, 1.27it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.38it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.581 0.579 0.62 0.313\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 20/50 2.82G 1.416 1.314 1.247 116 640: 100%|██████████| 25/25 [00:18<00:00, 1.36it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 3.18it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.698 0.524 0.616 0.31\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 21/50 2.82G 1.393 1.324 1.247 65 640: 100%|██████████| 25/25 [00:19<00:00, 1.28it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.34it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.617 0.587 0.643 0.335\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 22/50 2.82G 1.379 1.293 1.245 77 640: 100%|██████████| 25/25 [00:17<00:00, 1.42it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.97it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.687 0.582 0.638 0.349\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 23/50 2.83G 1.352 1.224 1.213 57 640: 100%|██████████| 25/25 [00:20<00:00, 1.21it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.84it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.578 0.636 0.596 0.29\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 24/50 2.85G 1.399 1.308 1.242 46 640: 100%|██████████| 25/25 [00:19<00:00, 1.31it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.60it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.642 0.615 0.624 0.321\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 25/50 2.85G 1.354 1.243 1.232 32 640: 100%|██████████| 25/25 [00:17<00:00, 1.43it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.67it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.612 0.638 0.662 0.378\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 26/50 2.85G 1.358 1.225 1.22 50 640: 100%|██████████| 25/25 [00:18<00:00, 1.35it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.92it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.585 0.644 0.647 0.349\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 27/50 2.85G 1.305 1.177 1.204 40 640: 100%|██████████| 25/25 [00:17<00:00, 1.47it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.50it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.64 0.664 0.697 0.399\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 28/50 2.85G 1.273 1.121 1.175 54 640: 100%|██████████| 25/25 [00:20<00:00, 1.20it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.46it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.69 0.609 0.704 0.389\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 29/50 2.85G 1.29 1.083 1.165 52 640: 100%|██████████| 25/25 [00:18<00:00, 1.38it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.74it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.685 0.676 0.704 0.398\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 30/50 2.85G 1.307 1.127 1.186 53 640: 100%|██████████| 25/25 [00:20<00:00, 1.20it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 3.03it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.673 0.716 0.71 0.408\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 31/50 2.85G 1.26 1.084 1.162 68 640: 100%|██████████| 25/25 [00:20<00:00, 1.20it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.15it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.647 0.716 0.711 0.423\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 32/50 2.85G 1.248 1.04 1.162 49 640: 100%|██████████| 25/25 [00:18<00:00, 1.34it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.79it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.672 0.698 0.715 0.41\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 33/50 2.85G 1.293 1.068 1.191 57 640: 100%|██████████| 25/25 [00:19<00:00, 1.28it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.70it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.666 0.709 0.736 0.433\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 34/50 2.85G 1.228 1.07 1.15 51 640: 100%|██████████| 25/25 [00:17<00:00, 1.46it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.52it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.733 0.671 0.747 0.414\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 35/50 2.85G 1.2 1.004 1.136 65 640: 100%|██████████| 25/25 [00:18<00:00, 1.33it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.50it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.705 0.644 0.724 0.404\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 36/50 2.85G 1.247 1.037 1.195 70 640: 100%|██████████| 25/25 [00:17<00:00, 1.42it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.65it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.699 0.72 0.748 0.415\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 37/50 2.85G 1.251 0.9741 1.158 85 640: 100%|██████████| 25/25 [00:20<00:00, 1.22it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.49it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.686 0.658 0.695 0.375\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 38/50 2.85G 1.202 0.9655 1.137 53 640: 100%|██████████| 25/25 [00:17<00:00, 1.39it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.46it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.62 0.68 0.672 0.346\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 39/50 2.85G 1.182 0.9578 1.142 56 640: 100%|██████████| 25/25 [00:18<00:00, 1.34it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.60it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.71 0.689 0.733 0.429\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 40/50 2.85G 1.167 0.9505 1.127 63 640: 100%|██████████| 25/25 [00:18<00:00, 1.35it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 3.21it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.642 0.604 0.669 0.355\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["Closing dataloader mosaic\n","\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01, method='weighted_average', num_output_channels=3), CLAHE(p=0.01, clip_limit=(1.0, 4.0), tile_grid_size=(8, 8))\n","\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 41/50 2.85G 1.208 1.084 1.165 35 640: 100%|██████████| 25/25 [00:21<00:00, 1.18it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.99it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.732 0.644 0.75 0.432\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 42/50 2.85G 1.161 0.9899 1.16 20 640: 100%|██████████| 25/25 [00:21<00:00, 1.17it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.71it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.721 0.598 0.691 0.388\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 43/50 2.85G 1.142 0.9546 1.135 18 640: 100%|██████████| 25/25 [00:18<00:00, 1.32it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.89it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.662 0.707 0.739 0.42\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 44/50 2.85G 1.099 0.9329 1.121 28 640: 100%|██████████| 25/25 [00:19<00:00, 1.25it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.49it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.742 0.671 0.758 0.448\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 45/50 2.85G 1.077 0.912 1.123 36 640: 100%|██████████| 25/25 [00:18<00:00, 1.36it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.38it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.688 0.653 0.73 0.418\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 46/50 2.85G 1.074 0.9053 1.125 35 640: 100%|██████████| 25/25 [00:19<00:00, 1.31it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 2.59it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.722 0.64 0.742 0.435\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 47/50 2.85G 1.06 0.8751 1.1 38 640: 100%|██████████| 25/25 [00:19<00:00, 1.28it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.43it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.72 0.662 0.75 0.437\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 48/50 2.85G 1.027 0.8329 1.084 24 640: 100%|██████████| 25/25 [00:19<00:00, 1.27it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 3.01it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.685 0.684 0.746 0.435\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 49/50 2.85G 1.044 0.853 1.095 30 640: 100%|██████████| 25/25 [00:18<00:00, 1.35it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:02<00:00, 1.82it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.689 0.689 0.733 0.432\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n"," Epoch GPU_mem box_loss cls_loss dfl_loss Instances Size\n"]},{"output_type":"stream","name":"stderr","text":[" 50/50 2.85G 1.043 0.8567 1.094 29 640: 100%|██████████| 25/25 [00:18<00:00, 1.32it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:01<00:00, 3.38it/s]"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.698 0.687 0.742 0.429\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n","50 epochs completed in 0.313 hours.\n","Optimizer stripped from /content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection/weights/last.pt, 5.4MB\n","Optimizer stripped from /content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection/weights/best.pt, 5.4MB\n","\n","Validating /content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection/weights/best.pt...\n","Ultralytics 8.3.147 🚀 Python-3.11.12 torch-2.6.0+cu124 CUDA:0 (Tesla T4, 15095MiB)\n","YOLO11n summary (fused): 100 layers, 2,582,347 parameters, 0 gradients, 6.3 GFLOPs\n"]},{"output_type":"stream","name":"stderr","text":[" Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 4/4 [00:05<00:00, 1.29s/it]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.739 0.671 0.757 0.447\n","Speed: 0.2ms preprocess, 4.5ms inference, 0.0ms loss, 4.1ms postprocess per image\n","Results saved to \u001b[1m/content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection\u001b[0m\n"]}]},{"cell_type":"code","source":["# Save evaluation metrics and plots\n","model.val(\n"," save_json=True,\n"," save_hybrid=True,\n"," plots=True,\n"," project=str(eval_save_dir),\n"," name='evaluation'\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"D5Zt6EJByCUu","executionInfo":{"status":"ok","timestamp":1748888996004,"user_tz":-300,"elapsed":13394,"user":{"displayName":"Ramzan","userId":"08951432166749336452"}},"outputId":"7286e1f6-9de9-4193-9e91-30bcb556e76a"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["WARNING ⚠️ 'save_hybrid' is deprecated and will be removed in in the future.\n","Ultralytics 8.3.147 🚀 Python-3.11.12 torch-2.6.0+cu124 CUDA:0 (Tesla T4, 15095MiB)\n","YOLO11n summary (fused): 100 layers, 2,582,347 parameters, 0 gradients, 6.3 GFLOPs\n","\u001b[34m\u001b[1mval: \u001b[0mFast image access ✅ (ping: 8.8±19.0 ms, read: 217.9±194.9 MB/s, size: 1490.3 KB)\n"]},{"output_type":"stream","name":"stderr","text":["\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/My Drive/Flash Detection Project/Dataset/labels/val.cache... 98 images, 17 backgrounds, 0 corrupt: 100%|██████████| 100/100 [00:00<?, ?it/s]\n"," Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 7/7 [00:06<00:00, 1.05it/s]\n"]},{"output_type":"stream","name":"stdout","text":[" all 100 225 0.747 0.667 0.761 0.45\n","Speed: 2.6ms preprocess, 14.5ms inference, 0.0ms loss, 4.2ms postprocess per image\n","Saving /content/drive/MyDrive/Flash Detection Project/Model_Evaluation/evaluation/predictions.json...\n","Results saved to \u001b[1m/content/drive/MyDrive/Flash Detection Project/Model_Evaluation/evaluation\u001b[0m\n"]},{"output_type":"execute_result","data":{"text/plain":["ultralytics.utils.metrics.DetMetrics object with attributes:\n","\n","ap_class_index: array([0])\n","box: ultralytics.utils.metrics.Metric object\n","confusion_matrix: <ultralytics.utils.metrics.ConfusionMatrix object at 0x7e3650881a10>\n","curves: ['Precision-Recall(B)', 'F1-Confidence(B)', 'Precision-Confidence(B)', 'Recall-Confidence(B)']\n","curves_results: [[array([ 0, 0.001001, 0.002002, 0.003003, 0.004004, 0.005005, 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0.44962])\n","names: {0: 'flash'}\n","plot: True\n","results_dict: {'metrics/precision(B)': np.float64(0.74701111955778), 'metrics/recall(B)': np.float64(0.6666666666666666), 'metrics/mAP50(B)': np.float64(0.760505665920669), 'metrics/mAP50-95(B)': np.float64(0.4496207825563411), 'fitness': np.float64(0.48070927089277393)}\n","save_dir: PosixPath('/content/drive/MyDrive/Flash Detection Project/Model_Evaluation/evaluation')\n","speed: {'preprocess': 2.57881036000299, 'inference': 14.540850230005162, 'loss': 0.0018140500014851568, 'postprocess': 4.232421990002422}\n","task: 'detect'"]},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["# Move best and last weights\n","!cp \"{model_save_dir}/flash_detection/weights/best.pt\" \"{model_save_dir}/\"\n","!cp \"{model_save_dir}/flash_detection/weights/last.pt\" \"{model_save_dir}/\""],"metadata":{"id":"pSxplit_yE-M"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Resume Training\n","\n","''''\n","from ultralytics import YOLO\n","# 1. Load the last checkpoint\n","model = YOLO('/content/drive/MyDrive/Flash Detection Project/Model_Files/flash_detection/weights/last.pt')\n","\n","# 2. Check GPU availability and set device\n","device = 'cuda' if torch.cuda.is_available() else 'cpu'\n","print(f\"Using device: {device}\")\n","\n","# 3. Resume training with additional epochs\n","model.train(\n"," resume=True, # Critical for continuing from checkpoint\n"," epochs=100, # New total epochs (original 50 + new 50 = 100)\n"," patience=10, # Maintain early stopping\n"," batch=16,\n"," imgsz=640,\n"," project='/content/drive/MyDrive/Flash Detection Project/Model_Files',\n"," name='flash_detection_resumed',\n"," exist_ok=True,\n"," device=device\n",")\n","'''"],"metadata":{"id":"CH8bYTN0yxBq"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":[],"metadata":{"id":"CxMC6dk6O5lS"},"execution_count":null,"outputs":[]}]} |