{
 "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 c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (2.1.3)\n",
      "Requirement already satisfied: opencv-python-headless==4.10.0.84 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (4.10.0.84)\n",
      "Requirement already satisfied: Pillow>=7.1.2 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (11.0.0)\n",
      "Requirement already satisfied: python-dateutil in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (2.9.0.post0)\n",
      "Requirement already satisfied: python-dotenv in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (1.0.1)\n",
      "Requirement already satisfied: requests in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (2.32.3)\n",
      "Requirement already satisfied: six in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (1.16.0)\n",
      "Requirement already satisfied: urllib3>=1.26.6 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (2.2.3)\n",
      "Requirement already satisfied: tqdm>=4.41.0 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (4.67.1)\n",
      "Requirement already satisfied: PyYAML>=5.3.1 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (6.0.2)\n",
      "Requirement already satisfied: requests-toolbelt in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (1.0.0)\n",
      "Requirement already satisfied: filetype in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from roboflow) (1.2.0)\n",
      "Requirement already satisfied: colorama in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from tqdm>=4.41.0->roboflow) (0.4.6)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from matplotlib->roboflow) (1.3.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from matplotlib->roboflow) (4.55.0)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from matplotlib->roboflow) (24.2)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from matplotlib->roboflow) (3.2.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\ai_team\\.conda\\envs\\yolov11\\lib\\site-packages (from requests->roboflow) (3.4.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install roboflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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 8.3.38  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=yolo11n.pt, data=G:/MAGANG/ai elang yolov11/IM3-1/data.yaml, epochs=100, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train, 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\\train\n",
      "Overriding model.yaml nc=80 with nc=3\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",
      " 22                  -1  1    378880  ultralytics.nn.modules.block.C3k2            [384, 256, 1, True]           \n",
      " 23        [16, 19, 22]  1    431257  ultralytics.nn.modules.head.Detect           [3, [64, 128, 256]]           \n",
      "YOLO11n summary: 319 layers, 2,590,425 parameters, 2,590,409 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"
     ]
    },
    {
     "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<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING  Box and segment counts should be equal, but got len(segments) = 702, len(boxes) = 709. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[34m\u001b[1mval: \u001b[0mScanning G:\\MAGANG\\ai elang yolov11\\IM3-1\\valid\\labels.cache... 87 images, 0 backgrounds, 0 corrupt: 100%|██████████| 87/87 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING  Box and segment counts should be equal, but got len(segments) = 205, len(boxes) = 210. To resolve this only boxes will be used and all segments will be removed. To avoid this please supply either a detect or segment dataset, not a detect-segment mixed dataset.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Plotting labels to runs\\detect\\train\\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=0.001429, 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 8 dataloader workers\n",
      "Logging results to \u001b[1mruns\\detect\\train\u001b[0m\n",
      "Starting training for 100 epochs...\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      1/100      2.41G      1.096      3.264      1.367         20        640: 100%|██████████| 20/20 [00:13<00:00,  1.50it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:01<00:00,  1.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210    0.00662      0.718      0.181      0.125\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      2/100      2.42G     0.9864       2.61      1.232         16        640: 100%|██████████| 20/20 [00:04<00:00,  4.48it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:01<00:00,  2.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.91      0.132      0.342      0.258\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      3/100      2.42G      1.033      2.195      1.266         14        640: 100%|██████████| 20/20 [00:03<00:00,  5.90it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.677      0.178       0.37      0.233\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      4/100      2.43G     0.9956      1.961      1.228          6        640: 100%|██████████| 20/20 [00:03<00:00,  6.31it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.508      0.326      0.401      0.269\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      5/100      2.43G      1.064      1.905      1.258         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.58it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.386      0.521      0.428      0.283\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      6/100      2.43G      1.019      1.863      1.237         11        640: 100%|██████████| 20/20 [00:03<00:00,  6.52it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.339      0.417      0.341      0.237\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      7/100      2.44G      1.005      1.715      1.221         12        640: 100%|██████████| 20/20 [00:02<00:00,  6.70it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.426      0.485      0.419      0.269\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      8/100      2.42G     0.9911      1.683      1.231         10        640: 100%|██████████| 20/20 [00:03<00:00,  6.66it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.445      0.526      0.467      0.308\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "      9/100      2.43G      1.019       1.63       1.23         18        640: 100%|██████████| 20/20 [00:03<00:00,  6.60it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.448      0.438      0.435      0.285\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     10/100      2.46G     0.9744      1.584      1.213         10        640: 100%|██████████| 20/20 [00:03<00:00,  6.64it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.54      0.474      0.483      0.336\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     11/100      2.43G     0.9527      1.522      1.197         18        640: 100%|██████████| 20/20 [00:02<00:00,  6.68it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.37it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210        0.5      0.574      0.532      0.384\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     12/100      2.49G     0.9361      1.459      1.188         13        640: 100%|██████████| 20/20 [00:02<00:00,  6.69it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.577      0.587      0.583      0.392\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     13/100      2.45G     0.9468      1.421      1.181         17        640: 100%|██████████| 20/20 [00:02<00:00,  6.73it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.568      0.529       0.53      0.364\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     14/100      2.43G     0.9382      1.358      1.166         16        640: 100%|██████████| 20/20 [00:03<00:00,  6.63it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.62      0.622      0.616      0.429\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     15/100       2.4G     0.9496       1.38      1.181         19        640: 100%|██████████| 20/20 [00:03<00:00,  6.49it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.513      0.566      0.511      0.305\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     16/100      2.43G     0.9404      1.342      1.186         10        640: 100%|██████████| 20/20 [00:02<00:00,  6.68it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.588      0.542      0.585      0.393\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     17/100      2.42G     0.8675      1.309      1.123         20        640: 100%|██████████| 20/20 [00:02<00:00,  6.69it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.773      0.599      0.641      0.468\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     18/100      2.42G     0.8833      1.254      1.145         11        640: 100%|██████████| 20/20 [00:02<00:00,  6.71it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.748      0.677      0.697      0.523\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     19/100      2.42G     0.8738      1.213      1.132         33        640: 100%|██████████| 20/20 [00:03<00:00,  6.64it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.67it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.749      0.616      0.662      0.501\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     20/100      2.42G     0.9012      1.184      1.138         22        640: 100%|██████████| 20/20 [00:02<00:00,  6.73it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.50it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.712      0.624      0.694      0.528\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     21/100      2.45G     0.8205      1.145      1.119         14        640: 100%|██████████| 20/20 [00:02<00:00,  6.73it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.829      0.612      0.718      0.535\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     22/100      2.41G     0.8016      1.074      1.095         19        640: 100%|██████████| 20/20 [00:03<00:00,  6.01it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.697      0.666      0.712      0.537\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     23/100      2.42G     0.8252      1.105      1.106         24        640: 100%|██████████| 20/20 [00:02<00:00,  6.68it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.708      0.627      0.689      0.542\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     24/100      2.43G     0.8031      1.051      1.085         10        640: 100%|██████████| 20/20 [00:04<00:00,  4.96it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.763      0.669      0.719      0.557\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     25/100       2.4G     0.8073      1.081       1.11         23        640: 100%|██████████| 20/20 [00:04<00:00,  4.44it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.725      0.679       0.72      0.556\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     26/100      2.45G     0.7874      1.032      1.082         13        640: 100%|██████████| 20/20 [00:03<00:00,  5.94it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.797      0.643      0.744      0.573\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     27/100      2.43G     0.7819      1.009       1.07         23        640: 100%|██████████| 20/20 [00:03<00:00,  6.56it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.747      0.587      0.682      0.517\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     28/100      2.43G     0.7774      1.005      1.105         16        640: 100%|██████████| 20/20 [00:02<00:00,  6.67it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.741      0.659      0.736      0.562\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     29/100      2.43G     0.8264      1.031      1.111         14        640: 100%|██████████| 20/20 [00:03<00:00,  6.52it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.731      0.668      0.735      0.552\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     30/100      2.43G     0.7739     0.9927      1.079         13        640: 100%|██████████| 20/20 [00:03<00:00,  6.49it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.55it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.83      0.629      0.721      0.543\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     31/100      2.41G     0.7653     0.9237      1.075         11        640: 100%|██████████| 20/20 [00:03<00:00,  5.88it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.797      0.694       0.78      0.609\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     32/100      2.45G     0.7685      0.951      1.062         23        640: 100%|██████████| 20/20 [00:03<00:00,  5.50it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.819      0.693      0.771      0.598\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     33/100      2.43G     0.7403     0.8954      1.055         11        640: 100%|██████████| 20/20 [00:03<00:00,  5.17it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.781      0.626      0.727      0.557\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     34/100      2.43G     0.7924     0.9574      1.084         14        640: 100%|██████████| 20/20 [00:03<00:00,  5.05it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.795      0.678      0.763      0.595\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     35/100      2.43G     0.7727     0.9321      1.066         12        640: 100%|██████████| 20/20 [00:03<00:00,  5.12it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.772      0.775      0.775      0.599\n"
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    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     36/100      2.43G     0.7119     0.8886      1.045         27        640: 100%|██████████| 20/20 [00:03<00:00,  5.30it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.813       0.69      0.764      0.598\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     37/100      2.42G     0.7598     0.8838       1.05         21        640: 100%|██████████| 20/20 [00:03<00:00,  5.67it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.83      0.691      0.771      0.617\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     38/100      2.45G     0.7074     0.8212       1.03         22        640: 100%|██████████| 20/20 [00:03<00:00,  5.39it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.827      0.644      0.739       0.58\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     39/100      2.42G     0.7384     0.8484      1.045          9        640: 100%|██████████| 20/20 [00:04<00:00,  4.74it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.83      0.672      0.775      0.623\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     40/100      2.41G     0.7137     0.8201      1.034         23        640: 100%|██████████| 20/20 [00:03<00:00,  6.13it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.86it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.724      0.796      0.782      0.628\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     41/100      2.42G     0.7396       0.86      1.038         21        640: 100%|██████████| 20/20 [00:03<00:00,  6.53it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.771      0.736      0.766      0.621\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     42/100      2.43G     0.7392     0.8156      1.038         13        640: 100%|██████████| 20/20 [00:03<00:00,  6.26it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.848      0.695      0.766      0.625\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     43/100      2.42G     0.7166     0.8038      1.044         18        640: 100%|██████████| 20/20 [00:03<00:00,  6.27it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.834      0.662      0.764      0.628\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     44/100      2.43G     0.7089     0.7719      1.041         13        640: 100%|██████████| 20/20 [00:02<00:00,  6.72it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.81it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.792      0.688      0.778       0.64\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     45/100      2.42G      0.702     0.7644      1.027         14        640: 100%|██████████| 20/20 [00:02<00:00,  6.73it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.791      0.691      0.779      0.635\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     46/100      2.43G     0.7085     0.8085      1.026         16        640: 100%|██████████| 20/20 [00:03<00:00,  6.40it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.762      0.733      0.799      0.636\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     47/100      2.45G     0.7015     0.7759      1.022         29        640: 100%|██████████| 20/20 [00:02<00:00,  6.75it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.84      0.704      0.798      0.632\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     48/100      2.45G     0.6696     0.7441       1.02         23        640: 100%|██████████| 20/20 [00:02<00:00,  6.70it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.824      0.735      0.778      0.623\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     49/100      2.43G     0.6771     0.7394      1.025         12        640: 100%|██████████| 20/20 [00:02<00:00,  6.74it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.819      0.743      0.801      0.637\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     50/100      2.42G     0.6897     0.7569      1.011         19        640: 100%|██████████| 20/20 [00:03<00:00,  5.59it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.779      0.696      0.761      0.612\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     51/100      2.42G     0.6397     0.7193     0.9979         20        640: 100%|██████████| 20/20 [00:03<00:00,  5.94it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.79        0.7      0.766      0.609\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     52/100      2.43G      0.681     0.7253      1.018         20        640: 100%|██████████| 20/20 [00:03<00:00,  6.22it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.833      0.676      0.778      0.629\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     53/100       2.4G     0.6512     0.7257      1.026         26        640: 100%|██████████| 20/20 [00:03<00:00,  6.59it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.838      0.708      0.797      0.641\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     54/100      2.45G     0.6481     0.7095     0.9908         10        640: 100%|██████████| 20/20 [00:03<00:00,  5.35it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.854      0.753      0.804      0.638\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     55/100      2.44G     0.6307     0.6965      1.002         13        640: 100%|██████████| 20/20 [00:02<00:00,  6.68it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.793      0.686      0.778      0.636\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     56/100       2.4G     0.6483     0.6668      1.015         12        640: 100%|██████████| 20/20 [00:04<00:00,  4.50it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.81      0.675      0.779      0.624\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     57/100      2.42G     0.6531     0.6966      1.005         11        640: 100%|██████████| 20/20 [00:03<00:00,  6.43it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.815      0.725      0.783      0.629\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "     58/100      2.43G     0.6501     0.6509       1.01         11        640: 100%|██████████| 20/20 [00:03<00:00,  6.53it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.873       0.66      0.776      0.624\n"
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    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
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     "output_type": "stream",
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      "     59/100      2.43G     0.6713        0.7      1.022         12        640: 100%|██████████| 20/20 [00:03<00:00,  6.58it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.844      0.743        0.8      0.643\n"
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     "output_type": "stream",
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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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     "output_type": "stream",
     "text": [
      "     60/100      2.43G     0.6318     0.6476     0.9972         21        640: 100%|██████████| 20/20 [00:03<00:00,  6.51it/s]\n",
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    {
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     "output_type": "stream",
     "text": [
      "                   all         87        210      0.808      0.696      0.782      0.626\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     61/100      2.45G      0.613     0.6411     0.9915          6        640: 100%|██████████| 20/20 [00:05<00:00,  3.86it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.788      0.698      0.786      0.637\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     62/100      2.43G     0.6335     0.6641     0.9924         17        640: 100%|██████████| 20/20 [00:03<00:00,  6.49it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.70it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.794      0.737      0.808      0.666\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     63/100      2.43G      0.604     0.6191      0.972          8        640: 100%|██████████| 20/20 [00:03<00:00,  6.46it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.882       0.67      0.774      0.645\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     64/100      2.43G     0.6167     0.6531     0.9923         22        640: 100%|██████████| 20/20 [00:03<00:00,  6.33it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.831      0.723      0.795      0.663\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     65/100      2.42G     0.6104     0.6333     0.9868         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.58it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.911      0.654      0.821       0.67\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     66/100      2.45G     0.5577     0.5742     0.9686         14        640: 100%|██████████| 20/20 [00:02<00:00,  6.72it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.819      0.734      0.819      0.689\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     67/100       2.4G     0.5701     0.5774     0.9713         23        640: 100%|██████████| 20/20 [00:03<00:00,  6.24it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  3.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.811      0.756      0.828      0.683\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     68/100      2.43G     0.6019     0.5949     0.9828         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.14it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.837       0.75      0.825      0.678\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     69/100      2.45G     0.5701     0.5629     0.9682         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.20it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.68it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.797      0.811      0.828      0.683\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     70/100      2.43G     0.6018     0.6373      1.015          7        640: 100%|██████████| 20/20 [00:03<00:00,  6.55it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.829      0.779      0.828      0.679\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     71/100      2.43G     0.6067     0.6107     0.9855         23        640: 100%|██████████| 20/20 [00:03<00:00,  6.60it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.73it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.852      0.757      0.829       0.66\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     72/100      2.43G     0.5938      0.595     0.9814         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.55it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.73it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.813      0.769      0.806      0.656\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     73/100      2.45G     0.5798     0.5754      0.979         13        640: 100%|██████████| 20/20 [00:03<00:00,  6.61it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.86it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.849      0.737      0.821      0.667\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     74/100      2.42G     0.5689     0.5604     0.9673         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.64it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.79      0.801      0.831      0.687\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     75/100      2.41G     0.5812     0.5701      0.967         33        640: 100%|██████████| 20/20 [00:02<00:00,  6.73it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.792      0.741      0.795      0.652\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     76/100      2.42G     0.5814     0.5546     0.9793         14        640: 100%|██████████| 20/20 [00:02<00:00,  6.70it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.784      0.757       0.81      0.671\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     77/100      2.42G     0.5676     0.5447     0.9677         17        640: 100%|██████████| 20/20 [00:03<00:00,  6.51it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.77it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.851      0.738      0.819      0.682\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     78/100      2.45G     0.5716     0.5492     0.9583         20        640: 100%|██████████| 20/20 [00:03<00:00,  6.56it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.82       0.79      0.824      0.678\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     79/100      2.43G      0.546      0.511     0.9634          7        640: 100%|██████████| 20/20 [00:03<00:00,  6.62it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.833      0.748      0.811      0.669\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     80/100      2.43G      0.554     0.5378     0.9741         12        640: 100%|██████████| 20/20 [00:03<00:00,  6.66it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.94it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.835      0.754      0.802       0.67\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     81/100      2.43G     0.5557     0.5604     0.9593         18        640: 100%|██████████| 20/20 [00:03<00:00,  6.63it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.833      0.768      0.805      0.666\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     82/100      2.45G     0.5579     0.5382     0.9644         19        640: 100%|██████████| 20/20 [00:02<00:00,  6.75it/s]\n",
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.817      0.796      0.815      0.677\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     83/100      2.41G     0.5359     0.5201     0.9636         12        640: 100%|██████████| 20/20 [00:03<00:00,  6.54it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.819      0.743      0.813       0.68\n"
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     84/100      2.43G     0.5325     0.5332     0.9553         19        640: 100%|██████████| 20/20 [00:02<00:00,  6.71it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.855      0.708        0.8      0.671\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
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    {
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     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     85/100      2.42G     0.5253     0.4923     0.9456         21        640: 100%|██████████| 20/20 [00:03<00:00,  6.55it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.824       0.77      0.812      0.678\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     86/100      2.45G     0.5426     0.5166     0.9551         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.56it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.799      0.781      0.816      0.684\n"
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    },
    {
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     "output_type": "stream",
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      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     87/100      2.41G     0.5211     0.4968     0.9557         14        640: 100%|██████████| 20/20 [00:03<00:00,  6.43it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.821      0.787      0.819      0.692\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     88/100      2.43G     0.5414     0.5415     0.9772         15        640: 100%|██████████| 20/20 [00:03<00:00,  6.56it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.835      0.762      0.823      0.697\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     89/100      2.43G     0.5334     0.4937     0.9529         11        640: 100%|██████████| 20/20 [00:03<00:00,  6.55it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210       0.84      0.768      0.827      0.694\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     90/100      2.43G     0.5245     0.4841     0.9502         22        640: 100%|██████████| 20/20 [00:03<00:00,  6.56it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.811      0.789      0.828      0.692\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Closing dataloader mosaic\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     91/100      2.52G     0.4724     0.4694     0.9036         11        640: 100%|██████████| 20/20 [00:03<00:00,  5.16it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.812      0.778      0.829      0.691\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     92/100      2.43G     0.4631     0.4339     0.9133          9        640: 100%|██████████| 20/20 [00:03<00:00,  6.54it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.816      0.766       0.82      0.686\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     93/100      2.39G     0.4575     0.4152      0.892          5        640: 100%|██████████| 20/20 [00:02<00:00,  6.85it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.882      0.712      0.818      0.686\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     94/100      2.42G     0.4411     0.4025     0.8964          6        640: 100%|██████████| 20/20 [00:02<00:00,  6.68it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.879      0.741      0.821      0.694\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     95/100      2.42G     0.4176     0.3901     0.8812          6        640: 100%|██████████| 20/20 [00:02<00:00,  7.11it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  4.84it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.883      0.736      0.815      0.687\n",
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     96/100      2.42G     0.4461     0.3962      0.879          7        640: 100%|██████████| 20/20 [00:02<00:00,  7.17it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.865      0.746      0.816      0.685\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "     97/100      2.39G     0.4252     0.3851     0.8915          5        640: 100%|██████████| 20/20 [00:02<00:00,  7.08it/s]\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.868       0.75      0.819      0.689\n"
     ]
    },
    {
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     "output_type": "stream",
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      "\n"
     ]
    },
    {
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      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "     98/100      2.42G     0.4318     0.3816     0.8914          7        640: 100%|██████████| 20/20 [00:02<00:00,  6.98it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.863      0.749      0.824      0.695\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "     99/100      2.42G     0.4388     0.3862     0.8943          8        640: 100%|██████████| 20/20 [00:02<00:00,  7.11it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.885      0.728      0.826      0.694\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "      Epoch    GPU_mem   box_loss   cls_loss   dfl_loss  Instances       Size\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "    100/100      2.42G      0.417     0.3676     0.8717          4        640: 100%|██████████| 20/20 [00:02<00:00,  7.25it/s]\n",
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:00<00:00,  5.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.854      0.751      0.827      0.695\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "100 epochs completed in 0.150 hours.\n",
      "Optimizer stripped from runs\\detect\\train\\weights\\last.pt, 5.5MB\n",
      "Optimizer stripped from runs\\detect\\train\\weights\\best.pt, 5.5MB\n",
      "\n",
      "Validating runs\\detect\\train\\weights\\best.pt...\n",
      "Ultralytics 8.3.38  Python-3.10.12 torch-2.5.1+cu124 CUDA:0 (NVIDIA GeForce RTX 3080 Ti, 12287MiB)\n",
      "YOLO11n summary (fused): 238 layers, 2,582,737 parameters, 0 gradients, 6.3 GFLOPs\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100%|██████████| 3/3 [00:01<00:00,  2.16it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   all         87        210      0.835      0.762      0.824      0.697\n",
      "               attract         40         70      0.762      0.671      0.711      0.512\n",
      "               educate         38         67      0.881      0.806      0.878      0.776\n",
      "              purchase         46         73      0.861      0.808      0.881      0.802\n",
      "Speed: 0.7ms preprocess, 2.0ms inference, 0.0ms loss, 2.9ms postprocess per image\n",
      "Results saved to \u001b[1mruns\\detect\\train\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "from ultralytics import YOLO\n",
    "\n",
    "# Load a model\n",
    "model = YOLO(\"yolo11n.pt\")  # load a pretrained model (recommended for training)\n",
    "\n",
    "# Train the model with 2 GPUs\n",
    "results = model.train(data=\"G:/MAGANG/ai elang yolov11/IM3-1/data.yaml\", epochs=100b, imgsz=640)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "0: 640x640 1 attract, 2 educates, 3 purchases, 7.4ms\n",
      "1: 640x640 10 attracts, 2 purchases, 7.4ms\n",
      "2: 640x640 1 educate, 10 purchases, 7.4ms\n",
      "3: 640x640 3 educates, 1 purchase, 7.4ms\n",
      "4: 640x640 2 educates, 2 purchases, 7.4ms\n",
      "5: 640x640 4 attracts, 2 educates, 1 purchase, 7.4ms\n",
      "6: 640x640 1 attract, 2 educates, 1 purchase, 7.4ms\n",
      "7: 640x640 3 attracts, 1 educate, 1 purchase, 7.4ms\n",
      "8: 640x640 2 educates, 7.4ms\n",
      "9: 640x640 2 educates, 1 purchase, 7.4ms\n",
      "10: 640x640 1 purchase, 7.4ms\n",
      "11: 640x640 2 educates, 7.4ms\n",
      "12: 640x640 1 purchase, 7.4ms\n",
      "13: 640x640 1 educate, 7.4ms\n",
      "14: 640x640 2 purchases, 7.4ms\n",
      "15: 640x640 1 attract, 1 educate, 2 purchases, 7.4ms\n",
      "16: 640x640 2 purchases, 7.4ms\n",
      "17: 640x640 1 purchase, 7.4ms\n",
      "18: 640x640 1 educate, 7.4ms\n",
      "19: 640x640 2 purchases, 7.4ms\n",
      "20: 640x640 1 educate, 1 purchase, 7.4ms\n",
      "21: 640x640 1 educate, 2 purchases, 7.4ms\n",
      "22: 640x640 2 attracts, 1 educate, 7.4ms\n",
      "23: 640x640 2 attracts, 1 educate, 2 purchases, 7.4ms\n",
      "24: 640x640 2 attracts, 1 educate, 1 purchase, 7.4ms\n",
      "25: 640x640 1 educate, 7.4ms\n",
      "26: 640x640 1 educate, 7.4ms\n",
      "27: 640x640 1 educate, 7.4ms\n",
      "28: 640x640 1 educate, 1 purchase, 7.4ms\n",
      "29: 640x640 2 educates, 7.4ms\n",
      "30: 640x640 1 purchase, 7.4ms\n",
      "31: 640x640 4 attracts, 1 educate, 1 purchase, 7.4ms\n",
      "32: 640x640 3 attracts, 2 educates, 1 purchase, 7.4ms\n",
      "33: 640x640 1 attract, 7.4ms\n",
      "34: 640x640 2 attracts, 7.4ms\n",
      "35: 640x640 1 attract, 7.4ms\n",
      "36: 640x640 2 attracts, 7.4ms\n",
      "37: 640x640 1 attract, 7.4ms\n",
      "38: 640x640 1 attract, 3 educates, 7.4ms\n",
      "39: 640x640 1 purchase, 7.4ms\n",
      "40: 640x640 1 attract, 7.4ms\n",
      "41: 640x640 1 attract, 7.4ms\n",
      "42: 640x640 1 attract, 7.4ms\n",
      "Speed: 4.3ms preprocess, 7.4ms inference, 2.4ms postprocess per image at shape (1, 3, 640, 640)\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_1.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_2.jpg\n",
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      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_26.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_27.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_28.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_29.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_30.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_31.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_32.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_33.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_34.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_35.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_36.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_37.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_38.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_39.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_40.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_41.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_42.jpg\n",
      "Hasil disimpan di: G:/MAGANG/ai elang yolov11/IM3-1/test/results\\result_43.jpg\n"
     ]
    }
   ],
   "source": [
    "from ultralytics import YOLO\n",
    "import os\n",
    "\n",
    "# Load the pretrained YOLO model\n",
    "model = YOLO(\"G:/MAGANG/ai elang yolov11/runs/detect/train/weights/best.pt\")  # Ganti dengan model yang Anda gunakan\n",
    "\n",
    "# Path ke folder gambar\n",
    "image_folder = \"G:/MAGANG/ai elang yolov11/IM3-1/test/images\"\n",
    "\n",
    "# Ambil daftar semua gambar dalam folder\n",
    "image_files = [os.path.join(image_folder, img) for img in os.listdir(image_folder) if img.endswith(('.jpg', '.png', '.jpeg'))]\n",
    "\n",
    "# Jalankan inferensi batch pada semua gambar\n",
    "results = model(image_files)\n",
    "\n",
    "# Proses hasil prediksi\n",
    "output_folder = \"G:/MAGANG/ai elang yolov11/IM3-1/test/results\"  # Folder untuk menyimpan hasil\n",
    "os.makedirs(output_folder, exist_ok=True)\n",
    "\n",
    "for idx, result in enumerate(results):\n",
    "    result.show()  # Tampilkan hasil (opsional)\n",
    "\n",
    "    # Simpan hasil prediksi ke disk\n",
    "    output_path = os.path.join(output_folder, f\"result_{idx + 1}.jpg\")\n",
    "    result.save(filename=output_path)\n",
    "    print(f\"Hasil disimpan di: {output_path}\")"
   ]
  }
 ],
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