{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: roboflow in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (1.1.49)\n", "Requirement already satisfied: certifi in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (2024.8.30)\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) (1.4.7)\n", "Requirement already satisfied: matplotlib in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (3.9.2)\n", "Requirement already satisfied: numpy>=1.18.5 in 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"cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "loading Roboflow workspace...\n", "loading Roboflow project...\n" ] } ], "source": [ "from roboflow import Roboflow\n", "rf = Roboflow(api_key=\"eaqwhd9ZiD8xyb7ZXSgN\")\n", "project = rf.workspace(\"demo-jv53l\").project(\"im3-ec6ca\")\n", "version = project.version(1)\n", "dataset = version.download(\"yolov11\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Ultralytics 8.3.43 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=yolo11m.pt, data=G:/MAGANG/ai elang yolov11/IM3-1/data.yaml, epochs=300, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train6, 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\\train6\n", "Overriding model.yaml nc=80 with nc=3\n", "\n", " from n params module arguments \n", " 0 -1 1 1856 ultralytics.nn.modules.conv.Conv [3, 64, 3, 2] \n", " 1 -1 1 73984 ultralytics.nn.modules.conv.Conv [64, 128, 3, 2] \n", " 2 -1 1 111872 ultralytics.nn.modules.block.C3k2 [128, 256, 1, True, 0.25] \n", " 3 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2] \n", " 4 -1 1 444928 ultralytics.nn.modules.block.C3k2 [256, 512, 1, True, 0.25] \n", " 5 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2] \n", " 6 -1 1 1380352 ultralytics.nn.modules.block.C3k2 [512, 512, 1, True] \n", " 7 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2] \n", " 8 -1 1 1380352 ultralytics.nn.modules.block.C3k2 [512, 512, 1, True] \n", " 9 -1 1 656896 ultralytics.nn.modules.block.SPPF [512, 512, 5] \n", " 10 -1 1 990976 ultralytics.nn.modules.block.C2PSA [512, 512, 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 1642496 ultralytics.nn.modules.block.C3k2 [1024, 512, 1, True] \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 542720 ultralytics.nn.modules.block.C3k2 [1024, 256, 1, True] \n", " 17 -1 1 590336 ultralytics.nn.modules.conv.Conv [256, 256, 3, 2] \n", " 18 [-1, 13] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 19 -1 1 1511424 ultralytics.nn.modules.block.C3k2 [768, 512, 1, True] \n", " 20 -1 1 2360320 ultralytics.nn.modules.conv.Conv [512, 512, 3, 2] \n", " 21 [-1, 10] 1 0 ultralytics.nn.modules.conv.Concat [1] \n", " 22 -1 1 1642496 ultralytics.nn.modules.block.C3k2 [1024, 512, 1, True] \n", " 23 [16, 19, 22] 1 1413337 ultralytics.nn.modules.head.Detect [3, [256, 512, 512]] \n", "YOLO11m summary: 409 layers, 20,055,321 parameters, 20,055,305 gradients, 68.2 GFLOPs\n", "\n", "Transferred 643/649 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" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[34m\u001b[1mtrain: \u001b[0mScanning G:\\MAGANG\\ai elang yolov11\\IM3-1\\train\\labels.cache... 308 images, 0 backgrounds, 0 corrupt: 100%|██████████| 308/308 [00:00