{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: roboflow in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (1.1.51)\n", "Requirement already satisfied: certifi in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (2024.12.14)\n", "Requirement already satisfied: idna==3.7 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (3.7)\n", "Requirement already satisfied: cycler in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (0.12.1)\n", "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (1.4.8)\n", "Requirement already satisfied: matplotlib in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (3.10.0)\n", "Requirement already satisfied: numpy>=1.18.5 in 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AI-ELANG-availability-10 in yolov12:: 100%|██████████| 5385/5385 [00:22<00:00, 239.40it/s]\n" ] } ], "source": [ "!pip install roboflow\n", "\n", "from roboflow import Roboflow\n", "rf = Roboflow(api_key=\"\")\n", "project = rf.workspace(\"\").project(\"\")\n", "version = project.version(10)\n", "dataset = version.download(\"\")\n", " " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: ultralytics in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (8.3.65)\n", "Collecting ultralytics\n", " Downloading ultralytics-8.3.78-py3-none-any.whl.metadata (35 kB)\n", "Requirement already satisfied: numpy<=2.1.1,>=1.23.0 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from ultralytics) (1.26.3)\n", "Requirement already satisfied: matplotlib>=3.3.0 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from ultralytics) (3.10.0)\n", 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MB/s eta 0:00:00\n", "Installing collected packages: ultralytics\n", " Attempting uninstall: ultralytics\n", " Found existing installation: ultralytics 8.3.65\n", " Uninstalling ultralytics-8.3.65:\n", " Successfully uninstalled ultralytics-8.3.65\n", "Successfully installed ultralytics-8.3.78\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install --upgrade ultralytics" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Looking in indexes: https://download.pytorch.org/whl/cu126\n", "Requirement already satisfied: torch in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (2.5.1+cu124)\n", "Requirement already satisfied: torchvision in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (0.20.1+cu124)\n", "Requirement already satisfied: torchaudio in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (2.5.1+cu124)\n", 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numpy in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from torchvision) (1.26.3)\n", "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from torchvision) (10.2.0)\n", "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from jinja2->torch) (3.0.2)\n", "Note: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ultralytics 8.3.78 Python-3.10.12 torch-2.5.1+cu124 CUDA:0 (NVIDIA GeForce RTX 3080 Ti, 12287MiB)\n", "\u001b[34m\u001b[1mengine\\trainer: \u001b[0mtask=detect, mode=train, model=yolo12x.pt, data=G:\\MAGANG\\ai elang yolov12\\AI-ELANG-availability-10\\data.yaml, epochs=500, time=None, patience=80, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=0, workers=8, project=None, name=train3, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=True, opset=None, workspace=None, 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, pose=12.0, kobj=1.0, 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, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, copy_paste_mode=flip, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs\\detect\\train3\n", "Overriding model.yaml nc=80 with nc=4\n", "\n", " from n params module arguments \n", " 0 -1 1 2784 ultralytics.nn.modules.conv.Conv [3, 96, 3, 2] \n", " 1 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2] \n", " 2 -1 2 389760 ultralytics.nn.modules.block.C3k2 [192, 384, 2, True, 0.25] \n", " 3 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2] \n", " 4 -1 2 1553664 ultralytics.nn.modules.block.C3k2 [384, 768, 2, True, 0.25] \n", " 5 -1 1 5309952 ultralytics.nn.modules.conv.Conv [768, 768, 3, 2] \n", " 6 -1 4 9512128 ultralytics.nn.modules.block.A2C2f [768, 768, 4, True, 4, True, 1.2]\n", " 7 -1 1 5309952 ultralytics.nn.modules.conv.Conv [768, 768, 3, 2] \n", " 8 -1 4 9512128 ultralytics.nn.modules.block.A2C2f [768, 768, 4, True, 1, True, 1.2]\n", " 9 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", " 10 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 11 -1 2 4727040 ultralytics.nn.modules.block.A2C2f [1536, 768, 2, False, -1, True, 1.2]\n", " 12 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest'] \n", " 13 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 14 -1 2 1331328 ultralytics.nn.modules.block.A2C2f [1536, 384, 2, False, -1, True, 1.2]\n", " 15 -1 1 1327872 ultralytics.nn.modules.conv.Conv [384, 384, 3, 2] \n", " 16 [-1, 11] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 17 -1 2 4579584 ultralytics.nn.modules.block.A2C2f [1152, 768, 2, False, -1, True, 1.2]\n", " 18 -1 1 5309952 ultralytics.nn.modules.conv.Conv [768, 768, 3, 2] \n", " 19 [-1, 8] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 20 -1 2 5612544 ultralytics.nn.modules.block.C3k2 [1536, 768, 2, True] \n", " 21 [14, 17, 20] 1 3150172 ultralytics.nn.modules.head.Detect [4, [384, 768, 768]] \n", "YOLOv12x summary: 488 layers, 59,123,004 parameters, 59,122,988 gradients, 199.8 GFLOPs\n", "\n", "Transferred 1239/1245 items from pretrained weights\n", "Freezing layer 'model.21.dfl.conv.weight'\n", "\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks...\n", "\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed \n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[34m\u001b[1mtrain: \u001b[0mScanning G:\\MAGANG\\ai elang yolov12\\AI-ELANG-availability-10\\train\\labels.cache... 2667 images, 108 backgrounds, 0 corrupt: 100%|██████████| 2667/2667 [00:00