YOLOv10_pho.ipynb

{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"id":"fbEjqYx5CtGv"},"outputs":[],"source":["! ls"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"background_save":true},"id":"5F6H9oTTfA4k"},"outputs":[{"name":"stdout","output_type":"stream","text":["/content/drive/MyDrive/pho_food_YOLOv10\n"]}],"source":["cd drive/MyDrive/pho_food_YOLOv10/"]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6246,"status":"ok","timestamp":1723143116117,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"Ma4Gi7B5qJ0v","outputId":"060834c5-95de-4545-bdcf-8ac3b70054a4"},"outputs":[{"name":"stdout","output_type":"stream","text":["Cloning into 'yolov10'...\n","remote: Enumerating objects: 20329, done.\u001b[K\n","remote: Counting objects: 100% (1527/1527), done.\u001b[K\n","remote: Compressing objects: 100% (176/176), done.\u001b[K\n","remote: Total 20329 (delta 1450), reused 1363 (delta 1351), pack-reused 18802\u001b[K\n","Receiving objects: 100% (20329/20329), 11.19 MiB | 12.64 MiB/s, done.\n","Resolving deltas: 100% (14326/14326), done.\n","Updating files: 100% (580/580), done.\n"]}],"source":["!git clone https://github.com/THU-MIG/yolov10.git"]},{"cell_type":"code","execution_count":4,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1075,"status":"ok","timestamp":1723143145763,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"m1f-pQN92mNg","outputId":"8487a0cc-7c56-4b4f-ca76-792e1ce72036"},"outputs":[{"name":"stdout","output_type":"stream","text":["/content/drive/MyDrive/pho_food_YOLOv10/yolov10\n"]}],"source":["cd yolov10"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":57078,"status":"ok","timestamp":1723143205008,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"w_R_pXK12n2b","outputId":"7b43cad5-c656-4d33-e016-b877b00bde0e"},"outputs":[{"name":"stdout","output_type":"stream","text":["Processing /content/drive/MyDrive/pho_food_YOLOv10/yolov10\n","  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n","  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n","  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","Requirement already satisfied: matplotlib\u003e=3.3.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (3.7.1)\n","Requirement already satisfied: opencv-python\u003e=4.6.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (4.10.0.84)\n","Requirement already satisfied: pillow\u003e=7.1.2 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (9.4.0)\n","Requirement already satisfied: pyyaml\u003e=5.3.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (6.0.1)\n","Requirement already satisfied: requests\u003e=2.23.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (2.32.3)\n","Requirement already satisfied: scipy\u003e=1.4.1 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (1.13.1)\n","Requirement already satisfied: torch\u003e=1.8.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (2.3.1+cu121)\n","Requirement already satisfied: torchvision\u003e=0.9.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (0.18.1+cu121)\n","Requirement already satisfied: tqdm\u003e=4.64.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (4.66.5)\n","Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (5.9.5)\n","Requirement already satisfied: py-cpuinfo in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (9.0.0)\n","Collecting thop\u003e=0.1.1 (from ultralytics==8.1.34)\n","  Downloading thop-0.1.1.post2209072238-py3-none-any.whl.metadata (2.7 kB)\n","Requirement already satisfied: pandas\u003e=1.1.4 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (2.1.4)\n","Requirement already satisfied: seaborn\u003e=0.11.0 in /usr/local/lib/python3.10/dist-packages (from ultralytics==8.1.34) (0.13.1)\n","Requirement already satisfied: contourpy\u003e=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (1.2.1)\n","Requirement already satisfied: cycler\u003e=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (0.12.1)\n","Requirement already satisfied: fonttools\u003e=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (4.53.1)\n","Requirement already satisfied: kiwisolver\u003e=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (1.4.5)\n","Requirement already satisfied: numpy\u003e=1.20 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (1.26.4)\n","Requirement already satisfied: packaging\u003e=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (24.1)\n","Requirement already satisfied: pyparsing\u003e=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (3.1.2)\n","Requirement already satisfied: python-dateutil\u003e=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib\u003e=3.3.0-\u003eultralytics==8.1.34) (2.8.2)\n","Requirement already satisfied: pytz\u003e=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas\u003e=1.1.4-\u003eultralytics==8.1.34) (2024.1)\n","Requirement already satisfied: tzdata\u003e=2022.1 in /usr/local/lib/python3.10/dist-packages (from pandas\u003e=1.1.4-\u003eultralytics==8.1.34) (2024.1)\n","Requirement already satisfied: charset-normalizer\u003c4,\u003e=2 in /usr/local/lib/python3.10/dist-packages (from requests\u003e=2.23.0-\u003eultralytics==8.1.34) (3.3.2)\n","Requirement already satisfied: idna\u003c4,\u003e=2.5 in /usr/local/lib/python3.10/dist-packages (from requests\u003e=2.23.0-\u003eultralytics==8.1.34) (3.7)\n","Requirement already satisfied: urllib3\u003c3,\u003e=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests\u003e=2.23.0-\u003eultralytics==8.1.34) (2.0.7)\n","Requirement already satisfied: certifi\u003e=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests\u003e=2.23.0-\u003eultralytics==8.1.34) (2024.7.4)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch\u003e=1.8.0-\u003eultralytics==8.1.34) (3.15.4)\n","Requirement already satisfied: typing-extensions\u003e=4.8.0 in /usr/local/lib/python3.10/dist-packages (from torch\u003e=1.8.0-\u003eultralytics==8.1.34) (4.12.2)\n","Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch\u003e=1.8.0-\u003eultralytics==8.1.34) (1.13.1)\n","Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch\u003e=1.8.0-\u003eultralytics==8.1.34) (3.3)\n","Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch\u003e=1.8.0-\u003eultralytics==8.1.34) (3.1.4)\n","Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch\u003e=1.8.0-\u003eultralytics==8.1.34) (2024.6.1)\n","Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n","Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n","Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n","Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n","Collecting nvidia-cublas-cu12==12.1.3.1 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n","Collecting nvidia-cufft-cu12==11.0.2.54 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n","Collecting nvidia-curand-cu12==10.3.2.106 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)\n","Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n","Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)\n","Collecting nvidia-nccl-cu12==2.20.5 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB)\n","Collecting nvidia-nvtx-cu12==12.1.105 (from torch\u003e=1.8.0-\u003eultralytics==8.1.34)\n","  Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)\n","Requirement already satisfied: triton==2.3.1 in /usr/local/lib/python3.10/dist-packages (from torch\u003e=1.8.0-\u003eultralytics==8.1.34) (2.3.1)\n","Collecting nvidia-nvjitlink-cu12 (from 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nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n","Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n","Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)\n","Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n","Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n","Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n","Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)\n","Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)\n","Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n","Using cached nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl (19.7 MB)\n","Building wheels for collected packages: ultralytics\n","  Building wheel for ultralytics (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for ultralytics: filename=ultralytics-8.1.34-py3-none-any.whl size=731411 sha256=948d099a1c1bca31af641877c2141fee26386289677a637ced1dc6266afec04e\n","  Stored in directory: /tmp/pip-ephem-wheel-cache-0tl3llxs/wheels/c9/00/5d/7e05e437b312f12ff8b78ff23c650c06bf4b266eb7c52b5588\n","Successfully built ultralytics\n","Installing collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, thop, ultralytics\n","Successfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 thop-0.1.1.post2209072238 ultralytics-8.1.34\n"]}],"source":["!pip install ."]},{"cell_type":"code","execution_count":6,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6046,"status":"ok","timestamp":1723143211047,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"oZLml4vN2qRF","outputId":"b19abc97-5904-4fb2-d858-08de2fae926d"},"outputs":[{"name":"stdout","output_type":"stream","text":["Downloaded /content/drive/MyDrive/pho_food_YOLOv10/yolov10/weights/yolov10n.pt\n","Downloaded /content/drive/MyDrive/pho_food_YOLOv10/yolov10/weights/yolov10l.pt\n"]}],"source":["import os\n","import urllib.request\n","\n","# Create a directory for the weights in the current working directory\n","weights_dir = os.path.join(os.getcwd(), \"weights\")\n","os.makedirs(weights_dir, exist_ok=True)\n","\n","# URLs of the weight files\n","urls = [\n","    \"https://github.com/jameslahm/yolov10/releases/download/v1.0/yolov10n.pt\",\n","    #\"https://github.com/jameslahm/yolov10/releases/download/v1.0/yolov10s.pt\",\n","    #\"https://github.com/jameslahm/yolov10/releases/download/v1.0/yolov10m.pt\",\n","    #\"https://github.com/jameslahm/yolov10/releases/download/v1.0/yolov10b.pt\",\n","    #\"https://github.com/jameslahm/yolov10/releases/download/v1.0/yolov10x.pt\",\n","    \"https://github.com/jameslahm/yolov10/releases/download/v1.0/yolov10l.pt\"\n","]\n","\n","# Download each file\n","for url in urls:\n","    file_name = os.path.join(weights_dir, os.path.basename(url))\n","    urllib.request.urlretrieve(url, file_name)\n","    print(f\"Downloaded {file_name}\")"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1151,"status":"ok","timestamp":1723143218951,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"DAL_JV-2GTJD","outputId":"3be0279c-2a22-4197-fed6-f61ea152fd8c"},"outputs":[{"name":"stdout","output_type":"stream","text":["app.py\t\t data.yaml  examples  LICENSE\t  pyproject.toml    tests\t\t  weights\n","build\t\t docker     figures   logs\t  README.md\t    ultralytics\n","CONTRIBUTING.md  docs\t    flops.py  mkdocs.yml  requirements.txt  ultralytics.egg-info\n"]}],"source":["! ls"]},{"cell_type":"markdown","metadata":{"id":"arGTkVrC2uLD"},"source":["YOLOV10\n"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":1027027,"status":"ok","timestamp":1723144833015,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"quknHjc_2wU6","outputId":"04464d03-81ea-44f3-815f-5d5c5a766564"},"outputs":[{"name":"stdout","output_type":"stream","text":["New https://pypi.org/project/ultralytics/8.2.74 available 😃 Update with 'pip install -U ultralytics'\n","Ultralytics YOLOv8.1.34 🚀 Python-3.10.12 torch-2.3.1+cu121 CUDA:0 (NVIDIA L4, 22700MiB)\n","\u001b[34m\u001b[1mengine/trainer: \u001b[0mtask=detect, mode=train, model=weights/yolov10n.pt, data=data.yaml, epochs=100, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, val_period=1, cache=False, device=None, workers=8, project=None, name=train2, 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=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs/detect/train2\n","Downloading https://ultralytics.com/assets/Arial.ttf to '/root/.config/yolov10/Arial.ttf'...\n","100% 755k/755k [00:00\u003c00:00, 154MB/s]\n","2024-08-08 19:03:33.421330: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n","2024-08-08 19:03:33.442557: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n","2024-08-08 19:03:33.449075: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n","Overriding model.yaml nc=80 with nc=73\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      7360  ultralytics.nn.modules.block.C2f             [32, 32, 1, True]             \n","  3                  -1  1     18560  ultralytics.nn.modules.conv.Conv             [32, 64, 3, 2]                \n","  4                  -1  2     49664  ultralytics.nn.modules.block.C2f             [64, 64, 2, True]             \n","  5                  -1  1      9856  ultralytics.nn.modules.block.SCDown          [64, 128, 3, 2]               \n","  6                  -1  2    197632  ultralytics.nn.modules.block.C2f             [128, 128, 2, True]           \n","  7                  -1  1     36096  ultralytics.nn.modules.block.SCDown          [128, 256, 3, 2]              \n","  8                  -1  1    460288  ultralytics.nn.modules.block.C2f             [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.PSA             [256, 256]                    \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    148224  ultralytics.nn.modules.block.C2f             [384, 128, 1]                 \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     37248  ultralytics.nn.modules.block.C2f             [192, 64, 1]                  \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    123648  ultralytics.nn.modules.block.C2f             [192, 128, 1]                 \n"," 20                  -1  1     18048  ultralytics.nn.modules.block.SCDown          [128, 128, 3, 2]              \n"," 21            [-1, 10]  1         0  ultralytics.nn.modules.conv.Concat           [1]                           \n"," 22                  -1  1    282624  ultralytics.nn.modules.block.C2fCIB          [384, 256, 1, True, True]     \n"," 23        [16, 19, 22]  1    910012  ultralytics.nn.modules.head.v10Detect        [73, [64, 128, 256]]          \n","YOLOv10n summary: 385 layers, 2755724 parameters, 2755708 gradients, 8.6 GFLOPs\n","\n","Transferred 493/595 items from pretrained weights\n","\u001b[34m\u001b[1mTensorBoard: \u001b[0mStart with 'tensorboard --logdir runs/detect/train2', view at http://localhost:6006/\n","Freezing layer 'model.23.dfl.conv.weight'\n","\u001b[34m\u001b[1mAMP: \u001b[0mrunning Automatic Mixed Precision (AMP) checks with YOLOv8n...\n","Downloading https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt to 'yolov8n.pt'...\n","100% 6.23M/6.23M [00:00\u003c00:00, 233MB/s]\n","\u001b[34m\u001b[1mAMP: \u001b[0mchecks passed ✅\n","\u001b[34m\u001b[1mtrain: \u001b[0mScanning /content/drive/MyDrive/pho_food_YOLOv10/custom_dataset/dataset/train/labels... 705 images, 0 backgrounds, 0 corrupt: 100% 705/705 [01:31\u003c00:00,  7.73it/s]\n","\u001b[34m\u001b[1mtrain: \u001b[0mNew cache created: /content/drive/MyDrive/pho_food_YOLOv10/custom_dataset/dataset/train/labels.cache\n","INFO:albumentations.check_version:A new version of Albumentations is available: 1.4.13 (you have 1.4.12). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.\n","/usr/local/lib/python3.10/dist-packages/albumentations/core/composition.py:161: UserWarning: Got processor for bboxes, but no transform to process it.\n","  self._set_keys()\n","\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n","/usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n","  self.pid = os.fork()\n","\u001b[34m\u001b[1mval: \u001b[0mScanning /content/drive/MyDrive/pho_food_YOLOv10/custom_dataset/dataset/valid/labels... 55 images, 1 backgrounds, 0 corrupt: 100% 55/55 [00:13\u003c00:00,  4.21it/s]\n","\u001b[34m\u001b[1mval: \u001b[0mNew cache created: /content/drive/MyDrive/pho_food_YOLOv10/custom_dataset/dataset/valid/labels.cache\n","Plotting labels to runs/detect/train2/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=0.00013, momentum=0.9) with parameter groups 95 weight(decay=0.0), 108 weight(decay=0.0005), 107 bias(decay=0.0)\n","\u001b[34m\u001b[1mTensorBoard: \u001b[0mmodel graph visualization added ✅\n","Image sizes 640 train, 640 val\n","Using 8 dataloader workers\n","Logging results to \u001b[1mruns/detect/train2\u001b[0m\n","Starting training for 100 epochs...\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      1/100      3.35G      1.239      4.995      1.504      1.109      7.179      1.422          4        640: 100% 45/45 [00:10\u003c00:00,  4.10it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:01\u003c00:00,  1.35it/s]\n","                   all         55        103    0.00724      0.425     0.0307     0.0239\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      2/100      3.35G      1.158       4.73      1.397      1.043      6.742      1.312          4        640: 100% 45/45 [00:07\u003c00:00,  6.01it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.62it/s]\n","                   all         55        103     0.0107      0.485      0.052     0.0442\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      3/100      3.34G       1.16      4.544      1.419      1.038      6.745       1.32         10        640: 100% 45/45 [00:07\u003c00:00,  6.36it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.37it/s]\n","                   all         55        103      0.994     0.0286      0.061     0.0498\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      4/100      3.32G      1.089      4.334      1.382     0.9616      6.616       1.28          1        640: 100% 45/45 [00:07\u003c00:00,  6.35it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.47it/s]\n","                   all         55        103     0.0102      0.644      0.107     0.0758\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      5/100       3.3G      1.114      4.083      1.393     0.9649      6.135      1.264          4        640: 100% 45/45 [00:07\u003c00:00,  6.39it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.36it/s]\n","                   all         55        103     0.0107      0.674      0.126     0.0987\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      6/100      3.43G      1.211      3.866      1.468      1.044      6.099      1.334          2        640: 100% 45/45 [00:07\u003c00:00,  6.37it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.60it/s]\n","                   all         55        103      0.878     0.0702      0.189      0.142\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      7/100      3.32G      1.125      3.509      1.405     0.9862      5.629      1.292          4        640: 100% 45/45 [00:07\u003c00:00,  6.27it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.52it/s]\n","                   all         55        103      0.858     0.0829      0.218      0.162\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      8/100      3.32G       1.15      3.339      1.414      1.021      5.337      1.302          4        640: 100% 45/45 [00:07\u003c00:00,  6.32it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.16it/s]\n","                   all         55        103      0.824      0.115      0.284      0.206\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","      9/100       3.3G       1.17      3.314      1.436      1.031      5.373      1.291          1        640: 100% 45/45 [00:07\u003c00:00,  6.38it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.32it/s]\n","                   all         55        103      0.789      0.165      0.293      0.221\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     10/100      3.31G      1.151      3.085      1.398      1.023       5.22      1.272          3        640: 100% 45/45 [00:07\u003c00:00,  6.35it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.53it/s]\n","                   all         55        103      0.731      0.138      0.322      0.226\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     11/100      3.32G      1.092      2.908      1.382     0.9668      5.169      1.272          1        640: 100% 45/45 [00:07\u003c00:00,  6.24it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.34it/s]\n","                   all         55        103      0.752      0.244       0.33      0.244\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     12/100      3.31G      1.116      2.673      1.379     0.9984      4.823      1.279          4        640: 100% 45/45 [00:07\u003c00:00,  6.38it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.44it/s]\n","                   all         55        103      0.719      0.286      0.395      0.289\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     13/100      3.33G       1.05      2.446      1.329     0.9717      4.605      1.239          5        640: 100% 45/45 [00:06\u003c00:00,  6.44it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.38it/s]\n","                   all         55        103      0.818      0.209      0.414      0.301\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     14/100      3.32G      1.088      2.524      1.339     0.9914      4.641       1.24          4        640: 100% 45/45 [00:06\u003c00:00,  6.44it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.33it/s]\n","                   all         55        103      0.774      0.267      0.455      0.335\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     15/100      3.34G      1.073      2.445      1.329     0.9965        4.4      1.243          1        640: 100% 45/45 [00:07\u003c00:00,  6.18it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.23it/s]\n","                   all         55        103      0.598      0.404      0.445      0.324\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     16/100      3.44G      1.066      2.265      1.324     0.9836      4.383      1.243          1        640: 100% 45/45 [00:06\u003c00:00,  6.49it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.39it/s]\n","                   all         55        103      0.624      0.462      0.499       0.38\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     17/100       3.3G      1.023      2.153       1.28     0.9524      4.205      1.211          2        640: 100% 45/45 [00:07\u003c00:00,  6.23it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.26it/s]\n","                   all         55        103      0.829      0.258      0.477       0.37\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     18/100      3.31G       1.04      2.086      1.302     0.9806      4.164      1.241          2        640: 100% 45/45 [00:07\u003c00:00,  6.27it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.46it/s]\n","                   all         55        103       0.63      0.386       0.51      0.383\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     19/100      3.41G      1.037      2.026      1.312     0.9605      4.045      1.242          3        640: 100% 45/45 [00:07\u003c00:00,  6.09it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.24it/s]\n","                   all         55        103      0.637       0.44      0.527      0.406\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     20/100      3.31G      1.022      1.955      1.303     0.9623      4.065      1.235          6        640: 100% 45/45 [00:06\u003c00:00,  6.48it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.52it/s]\n","                   all         55        103      0.638      0.454      0.505      0.405\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     21/100       3.3G      1.028      1.906      1.283     0.9878      3.821      1.218          4        640: 100% 45/45 [00:07\u003c00:00,  6.29it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.61it/s]\n","                   all         55        103      0.641      0.378      0.542      0.418\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     22/100      3.32G     0.9856      1.826      1.249     0.9511      3.804      1.196         10        640: 100% 45/45 [00:06\u003c00:00,  6.90it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.15it/s]\n","                   all         55        103      0.728      0.409       0.56      0.428\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     23/100      3.35G      1.015       1.81      1.275     0.9781      3.741      1.219          5        640: 100% 45/45 [00:07\u003c00:00,  6.14it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.17it/s]\n","                   all         55        103      0.617      0.444      0.557      0.428\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     24/100      3.31G     0.9595      1.743      1.256      0.938       3.79      1.215          2        640: 100% 45/45 [00:07\u003c00:00,  6.37it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.59it/s]\n","                   all         55        103      0.677      0.412      0.569      0.435\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     25/100       3.3G      0.973      1.714      1.244     0.9574      3.627      1.199          5        640: 100% 45/45 [00:07\u003c00:00,  6.18it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.56it/s]\n","                   all         55        103      0.701      0.398      0.496      0.386\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     26/100      3.31G     0.9136      1.632      1.241      0.916       3.65       1.21          2        640: 100% 45/45 [00:06\u003c00:00,  6.48it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.49it/s]\n","                   all         55        103      0.598      0.524      0.536      0.408\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     27/100      3.31G     0.9343      1.719      1.218     0.9185      3.701       1.18          1        640: 100% 45/45 [00:07\u003c00:00,  6.31it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.51it/s]\n","                   all         55        103      0.589      0.511      0.541      0.418\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     28/100      3.31G     0.9198      1.642      1.247     0.9166      3.718      1.207          1        640: 100% 45/45 [00:07\u003c00:00,  6.43it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.36it/s]\n","                   all         55        103      0.654      0.426      0.554      0.404\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     29/100      3.38G     0.9009      1.587      1.211      0.891      3.582      1.182          1        640: 100% 45/45 [00:07\u003c00:00,  6.16it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.29it/s]\n","                   all         55        103      0.628      0.446      0.614      0.466\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     30/100      3.52G     0.9135      1.569      1.223     0.9074      3.456      1.189          8        640: 100% 45/45 [00:07\u003c00:00,  6.32it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.51it/s]\n","                   all         55        103      0.599      0.471      0.604      0.474\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     31/100      3.34G     0.8609      1.452      1.171     0.8505      3.308      1.141          4        640: 100% 45/45 [00:07\u003c00:00,  6.22it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.38it/s]\n","                   all         55        103      0.591      0.549      0.622      0.496\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     32/100      3.34G     0.9012      1.459        1.2     0.9034      3.212      1.183          3        640: 100% 45/45 [00:07\u003c00:00,  6.31it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.35it/s]\n","                   all         55        103      0.609      0.566      0.619      0.497\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     33/100       3.5G     0.8669      1.441      1.191     0.8784      3.247      1.164          6        640: 100% 45/45 [00:07\u003c00:00,  6.14it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.47it/s]\n","                   all         55        103      0.676      0.471       0.63      0.491\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     34/100      3.44G      0.909      1.386      1.219     0.9097      3.103       1.19          4        640: 100% 45/45 [00:06\u003c00:00,  6.51it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.44it/s]\n","                   all         55        103      0.658      0.515      0.628      0.502\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     35/100      3.31G     0.8464      1.407      1.163     0.8645      3.195      1.142          1        640: 100% 45/45 [00:07\u003c00:00,  6.26it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.53it/s]\n","                   all         55        103      0.618      0.511      0.621      0.486\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     36/100      3.35G     0.8648      1.367      1.171     0.8693      3.127       1.15          1        640: 100% 45/45 [00:07\u003c00:00,  6.39it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.24it/s]\n","                   all         55        103      0.609      0.571      0.648      0.508\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     37/100      3.31G     0.8737      1.312      1.193     0.8896      3.013      1.179          2        640: 100% 45/45 [00:07\u003c00:00,  6.21it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.36it/s]\n","                   all         55        103      0.658      0.546      0.651      0.514\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     38/100      3.32G     0.8568      1.315      1.174      0.873      3.036      1.153         12        640: 100% 45/45 [00:06\u003c00:00,  6.52it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.25it/s]\n","                   all         55        103      0.676      0.515      0.694      0.536\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     39/100      3.43G     0.8046      1.337      1.141     0.8375      3.053      1.129          1        640: 100% 45/45 [00:07\u003c00:00,  6.23it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.50it/s]\n","                   all         55        103      0.605      0.565      0.634      0.492\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     40/100      3.34G      0.855      1.317      1.171     0.8709      2.994      1.154         13        640: 100% 45/45 [00:07\u003c00:00,  6.22it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.30it/s]\n","                   all         55        103      0.684      0.509      0.684      0.521\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     41/100      3.42G     0.8084      1.288      1.137     0.8412      2.952      1.126          6        640: 100% 45/45 [00:07\u003c00:00,  6.31it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.48it/s]\n","                   all         55        103       0.63      0.526       0.67      0.509\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     42/100      3.34G     0.7999      1.236      1.123     0.8265      2.857      1.109          1        640: 100% 45/45 [00:06\u003c00:00,  6.43it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.11it/s]\n","                   all         55        103      0.671      0.557      0.708      0.555\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     43/100      3.35G     0.8307      1.267      1.152     0.8535      2.816      1.143         15        640: 100% 45/45 [00:07\u003c00:00,  6.35it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.53it/s]\n","                   all         55        103      0.618      0.581       0.71      0.556\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     44/100       3.4G     0.8327      1.289      1.159     0.8533      2.887      1.146         13        640: 100% 45/45 [00:07\u003c00:00,  6.33it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.28it/s]\n","                   all         55        103       0.71      0.519      0.716      0.566\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     45/100      3.31G     0.8324      1.187      1.147     0.8666      2.694      1.136          4        640: 100% 45/45 [00:06\u003c00:00,  6.48it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.40it/s]\n","                   all         55        103        0.7      0.523      0.726      0.566\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     46/100      3.31G     0.7779       1.18      1.113     0.8144      2.784      1.111          4        640: 100% 45/45 [00:07\u003c00:00,  6.27it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.47it/s]\n","                   all         55        103      0.606      0.531      0.672      0.532\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     47/100      3.34G     0.7911      1.167      1.138     0.8219      2.743      1.127          4        640: 100% 45/45 [00:07\u003c00:00,  6.38it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.49it/s]\n","                   all         55        103      0.805      0.459      0.707      0.547\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     48/100      3.31G     0.8422      1.163      1.191     0.8535      2.699      1.141          1        640: 100% 45/45 [00:07\u003c00:00,  6.34it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.28it/s]\n","                   all         55        103       0.54       0.65      0.725      0.562\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     49/100      3.31G     0.8226      1.183      1.195     0.8145      2.707      1.137          1        640: 100% 45/45 [00:07\u003c00:00,  6.36it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.59it/s]\n","                   all         55        103      0.699      0.508      0.683      0.525\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     50/100      3.32G      0.786      1.153      1.111     0.8097      2.655      1.103          2        640: 100% 45/45 [00:07\u003c00:00,  6.34it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.25it/s]\n","                   all         55        103      0.557      0.641      0.689      0.544\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     51/100      3.31G     0.7673      1.128      1.114     0.8006      2.703      1.114          2        640: 100% 45/45 [00:06\u003c00:00,  6.45it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.51it/s]\n","                   all         55        103      0.706      0.532      0.684      0.554\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     52/100      3.35G     0.7928      1.149      1.132     0.8319      2.643      1.132          2        640: 100% 45/45 [00:07\u003c00:00,  6.23it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.19it/s]\n","                   all         55        103      0.681      0.549      0.674      0.535\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     53/100       3.3G     0.7485      1.173      1.106     0.7865      2.642      1.108          1        640: 100% 45/45 [00:07\u003c00:00,  6.41it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.58it/s]\n","                   all         55        103      0.706      0.534      0.704      0.569\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     54/100      3.32G      0.752      1.117      1.087     0.7907      2.562       1.08          1        640: 100% 45/45 [00:07\u003c00:00,  6.36it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.37it/s]\n","                   all         55        103      0.776       0.49      0.721      0.587\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     55/100      3.32G     0.7711      1.102      1.125     0.7988      2.593      1.116          3        640: 100% 45/45 [00:07\u003c00:00,  6.40it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.26it/s]\n","                   all         55        103      0.784      0.489      0.717      0.569\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     56/100      3.44G      0.765      1.061      1.118     0.7934      2.466      1.115          2        640: 100% 45/45 [00:07\u003c00:00,  6.18it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.34it/s]\n","                   all         55        103       0.67      0.592      0.677      0.533\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     57/100      3.31G     0.7441      1.061      1.105     0.7938      2.424      1.109          4        640: 100% 45/45 [00:06\u003c00:00,  6.56it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.59it/s]\n","                   all         55        103      0.775       0.54       0.68      0.542\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     58/100      3.35G      0.773      1.092      1.116     0.8215      2.469      1.123          4        640: 100% 45/45 [00:06\u003c00:00,  6.53it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.28it/s]\n","                   all         55        103      0.652      0.635      0.712      0.562\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     59/100      3.32G      0.726      1.051      1.093     0.7659      2.463      1.096          1        640: 100% 45/45 [00:06\u003c00:00,  6.63it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.28it/s]\n","                   all         55        103      0.644      0.585      0.743       0.59\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     60/100      3.32G     0.7385      1.065      1.097     0.7771      2.497      1.095          1        640: 100% 45/45 [00:07\u003c00:00,  6.30it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.29it/s]\n","                   all         55        103      0.564      0.596      0.744      0.588\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     61/100      3.31G     0.7604      1.047      1.099     0.7982       2.44      1.097          2        640: 100% 45/45 [00:07\u003c00:00,  6.40it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.36it/s]\n","                   all         55        103      0.664      0.568      0.708      0.552\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     62/100      3.32G     0.7643      1.094      1.128     0.7794      2.425      1.111          1        640: 100% 45/45 [00:07\u003c00:00,  6.18it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.43it/s]\n","                   all         55        103      0.605      0.619      0.712      0.554\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     63/100      3.33G     0.7396       1.07      1.108     0.7682      2.422      1.096          1        640: 100% 45/45 [00:06\u003c00:00,  6.46it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.32it/s]\n","                   all         55        103      0.676      0.548      0.686      0.547\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     64/100      3.32G     0.7073     0.9914      1.084     0.7534      2.329      1.085          1        640: 100% 45/45 [00:07\u003c00:00,  6.28it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.21it/s]\n","                   all         55        103      0.644      0.635      0.697      0.548\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     65/100      3.31G     0.7074     0.9929      1.077     0.7539      2.327      1.081          2        640: 100% 45/45 [00:07\u003c00:00,  6.38it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.51it/s]\n","                   all         55        103      0.662      0.616      0.683      0.533\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     66/100      3.43G     0.7126      1.025      1.067      0.756      2.284      1.073         11        640: 100% 45/45 [00:07\u003c00:00,  6.28it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.30it/s]\n","                   all         55        103      0.793      0.464      0.706      0.555\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     67/100      3.33G      0.682      1.003      1.063     0.7324      2.293      1.071          5        640: 100% 45/45 [00:07\u003c00:00,  6.42it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.41it/s]\n","                   all         55        103      0.715      0.564      0.703      0.551\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     68/100      3.31G     0.6925     0.9746      1.056      0.733      2.239      1.061          8        640: 100% 45/45 [00:07\u003c00:00,  6.05it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.43it/s]\n","                   all         55        103      0.751      0.532      0.707      0.562\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     69/100      3.31G     0.7412      1.057      1.106      0.777      2.336      1.102          3        640: 100% 45/45 [00:06\u003c00:00,  6.71it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.47it/s]\n","                   all         55        103      0.746      0.543      0.741      0.581\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     70/100      3.32G     0.6824     0.9809      1.049     0.7237      2.206      1.057          2        640: 100% 45/45 [00:07\u003c00:00,  6.21it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.37it/s]\n","                   all         55        103      0.707      0.566      0.746       0.58\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     71/100      3.32G     0.6826     0.9495      1.065     0.7314      2.218      1.072          4        640: 100% 45/45 [00:06\u003c00:00,  6.49it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.44it/s]\n","                   all         55        103      0.672      0.594      0.703      0.551\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     72/100      3.31G     0.6815     0.9878      1.071     0.7235      2.304      1.074          2        640: 100% 45/45 [00:07\u003c00:00,  6.23it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.31it/s]\n","                   all         55        103      0.753      0.494      0.706      0.546\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     73/100      3.31G     0.6959     0.9843      1.072     0.7469      2.243      1.095          2        640: 100% 45/45 [00:06\u003c00:00,  6.56it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.13it/s]\n","                   all         55        103      0.603       0.61      0.716       0.55\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     74/100      3.31G     0.6718     0.9611      1.063     0.7327      2.218      1.071          3        640: 100% 45/45 [00:07\u003c00:00,  6.34it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.34it/s]\n","                   all         55        103      0.778       0.56       0.72      0.563\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     75/100      3.32G     0.6549     0.9627      1.052     0.6946      2.215      1.061          4        640: 100% 45/45 [00:06\u003c00:00,  6.48it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.54it/s]\n","                   all         55        103      0.667      0.619      0.694      0.548\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     76/100      3.34G     0.6594     0.9176      1.047     0.7073      2.114      1.054          8        640: 100% 45/45 [00:07\u003c00:00,  6.28it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.52it/s]\n","                   all         55        103       0.71      0.554      0.742      0.585\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     77/100      3.34G     0.6901     0.9134      1.078     0.7312      2.149      1.088          3        640: 100% 45/45 [00:06\u003c00:00,  6.57it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.49it/s]\n","                   all         55        103      0.716      0.589      0.703      0.549\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     78/100      3.34G     0.6403     0.9198      1.036     0.6912      2.198      1.043          1        640: 100% 45/45 [00:07\u003c00:00,  6.18it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.46it/s]\n","                   all         55        103      0.715      0.581       0.73      0.588\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     79/100      3.32G     0.6635     0.9804      1.054     0.7089      2.241      1.061          8        640: 100% 45/45 [00:06\u003c00:00,  6.48it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.51it/s]\n","                   all         55        103       0.67      0.639      0.711      0.563\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     80/100      3.32G     0.6518     0.9559      1.041     0.6996      2.181       1.05         10        640: 100% 45/45 [00:07\u003c00:00,  6.32it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.13it/s]\n","                   all         55        103      0.758      0.559      0.739      0.591\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     81/100      3.32G     0.6316     0.9043      1.047     0.6853      2.136      1.058          3        640: 100% 45/45 [00:06\u003c00:00,  6.64it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.45it/s]\n","                   all         55        103      0.674      0.608      0.713       0.57\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     82/100      3.34G     0.6352     0.8936      1.041     0.6847      2.104      1.047          1        640: 100% 45/45 [00:07\u003c00:00,  6.39it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.56it/s]\n","                   all         55        103      0.822      0.516      0.733      0.587\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     83/100      3.32G     0.6661     0.9918      1.088     0.7044       2.21      1.089          1        640: 100% 45/45 [00:06\u003c00:00,  6.47it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.63it/s]\n","                   all         55        103      0.804      0.562      0.744      0.594\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     84/100      3.32G     0.6593     0.9206      1.031      0.715      2.056      1.043          5        640: 100% 45/45 [00:07\u003c00:00,  6.24it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.24it/s]\n","                   all         55        103      0.808       0.51      0.734      0.584\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     85/100       3.3G     0.6333     0.8939      1.036     0.6901      2.128      1.051          3        640: 100% 45/45 [00:06\u003c00:00,  6.69it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.56it/s]\n","                   all         55        103      0.784      0.544      0.721      0.573\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     86/100       3.4G     0.6415       0.87       1.03     0.6932      2.017      1.036          2        640: 100% 45/45 [00:07\u003c00:00,  6.27it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.45it/s]\n","                   all         55        103      0.738      0.566      0.733      0.587\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     87/100      3.31G      0.637     0.8701      1.038      0.689      2.035      1.043          2        640: 100% 45/45 [00:06\u003c00:00,  6.65it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.61it/s]\n","                   all         55        103      0.636      0.635      0.732      0.585\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     88/100      3.52G     0.6584     0.9051      1.034     0.7136      2.034      1.044          3        640: 100% 45/45 [00:07\u003c00:00,  6.40it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.40it/s]\n","                   all         55        103      0.707      0.602      0.736      0.583\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     89/100       3.3G     0.6743     0.9343      1.064     0.7192      2.055      1.065          4        640: 100% 45/45 [00:06\u003c00:00,  6.44it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.57it/s]\n","                   all         55        103      0.761      0.551      0.722      0.571\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     90/100      3.51G     0.6089     0.8711      1.029     0.6595      1.976      1.041          5        640: 100% 45/45 [00:07\u003c00:00,  6.24it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.34it/s]\n","                   all         55        103      0.723      0.589      0.732      0.581\n","Closing dataloader mosaic\n","/usr/local/lib/python3.10/dist-packages/albumentations/core/composition.py:161: UserWarning: Got processor for bboxes, but no transform to process it.\n","  self._set_keys()\n","\u001b[34m\u001b[1malbumentations: \u001b[0mBlur(p=0.01, blur_limit=(3, 7)), MedianBlur(p=0.01, blur_limit=(3, 7)), ToGray(p=0.01), CLAHE(p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))\n","/usr/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n","  self.pid = os.fork()\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     91/100      3.31G     0.5333     0.9889     0.9894     0.5597      2.791      1.005          7        640: 100% 45/45 [00:08\u003c00:00,  5.29it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.43it/s]\n","                   all         55        103      0.839      0.463      0.704      0.554\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     92/100      3.31G     0.5321     0.9785     0.9972     0.5501      2.778      1.008          3        640: 100% 45/45 [00:07\u003c00:00,  6.33it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.51it/s]\n","                   all         55        103      0.761       0.52      0.706       0.55\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     93/100      3.42G     0.5323      0.955      1.025     0.5521      2.756      1.023          1        640: 100% 45/45 [00:06\u003c00:00,  6.53it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.64it/s]\n","                   all         55        103      0.784      0.512      0.724      0.563\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     94/100      3.32G     0.5069     0.8807     0.9818     0.5264      2.693     0.9902          1        640: 100% 45/45 [00:07\u003c00:00,  6.27it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.50it/s]\n","                   all         55        103      0.761      0.518       0.72      0.556\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     95/100      3.31G     0.5073      0.931     0.9817     0.5307      2.698      0.989          1        640: 100% 45/45 [00:06\u003c00:00,  6.59it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.53it/s]\n","                   all         55        103      0.726      0.561      0.723      0.571\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     96/100      3.31G     0.5031     0.8702     0.9647      0.528      2.647     0.9756          1        640: 100% 45/45 [00:07\u003c00:00,  6.40it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.49it/s]\n","                   all         55        103      0.772      0.525      0.724      0.571\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     97/100      3.42G     0.5113     0.9273     0.9931     0.5344      2.661     0.9964          5        640: 100% 45/45 [00:06\u003c00:00,  6.76it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.60it/s]\n","                   all         55        103      0.742       0.56      0.723       0.57\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     98/100      3.31G     0.4992     0.8733     0.9514     0.5151      2.645     0.9589          3        640: 100% 45/45 [00:07\u003c00:00,  6.40it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.21it/s]\n","                   all         55        103      0.755      0.539      0.723      0.576\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","     99/100      3.43G     0.4928     0.9395     0.9619     0.5161      2.714     0.9673          1        640: 100% 45/45 [00:06\u003c00:00,  6.52it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.59it/s]\n","                   all         55        103      0.784      0.515      0.711      0.563\n","\n","      Epoch    GPU_mem     box_om     cls_om     dfl_om     box_oo     cls_oo     dfl_oo  Instances       Size\n","    100/100      3.32G     0.5355     0.9313      1.034     0.5233      2.646      1.006          1        640: 100% 45/45 [00:07\u003c00:00,  6.36it/s]\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.36it/s]\n","                   all         55        103      0.765      0.528      0.709      0.558\n","\n","100 epochs completed in 0.245 hours.\n","Optimizer stripped from runs/detect/train2/weights/last.pt, 5.9MB\n","Optimizer stripped from runs/detect/train2/weights/best.pt, 5.9MB\n","\n","Validating runs/detect/train2/weights/best.pt...\n","Ultralytics YOLOv8.1.34 🚀 Python-3.10.12 torch-2.3.1+cu121 CUDA:0 (NVIDIA L4, 22700MiB)\n","YOLOv10n summary (fused): 285 layers, 2742938 parameters, 0 gradients, 8.5 GFLOPs\n","                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% 2/2 [00:00\u003c00:00,  4.60it/s]\n","                   all         55        103      0.802      0.563      0.744      0.594\n","              aguacate         55          3          1      0.464      0.995      0.995\n","           albaricoque         55          8      0.507          1      0.746      0.566\n","             berenjena         55          1      0.689          1      0.995      0.895\n","               calamar         55          1      0.645          1      0.995        0.9\n","      cerveza estrella         55          1      0.653          1      0.995      0.895\n","            chamipinon         55          7      0.693      0.649      0.692      0.401\n","            escalivada         55          1          1          0      0.995      0.796\n","                  flan         55          2      0.902        0.5      0.498      0.498\n","                 fresa         55          5      0.825        0.6       0.88      0.545\n","            hortalizas         55          1      0.648          1      0.995      0.903\n","                  kiwi         55          2      0.338      0.514      0.497      0.217\n","            langostino         55          8      0.378      0.375      0.363      0.128\n","                  lech         55          1          1          0          0          0\n","               lechuga         55          2          1      0.995      0.995       0.92\n","                  lima         55          4          1          0          0          0\n","             longaniza         55          1      0.662          1      0.995      0.995\n","             melocoton         55          5       0.92        0.6      0.597      0.517\n","                   pan         55          3      0.929          1      0.995      0.569\n","                  pavo         55          1      0.645          1      0.995      0.708\n","      pechuga de pollo         55          2      0.795          1      0.995      0.767\n","               perejil         55          1          1          0      0.995      0.562\n","        pimiento verde         55          3          1        0.9      0.995      0.895\n","              pistacho         55          6      0.532          1      0.913      0.582\n","                puerro         55          5      0.532        0.4      0.497      0.311\n","                 queso         55          1      0.487          1      0.995      0.995\n","       queso de loncha         55          2          1      0.986      0.995      0.705\n","            salchichas         55          1      0.666          1      0.995      0.895\n","                salmon         55          3      0.632      0.333      0.462      0.186\n","       salsa de tomate         55          1          1          0     0.0355     0.0284\n","     solomillo decerdo         55          1          1          0      0.995      0.995\n","             special K         55          1          1          0      0.995        0.8\n","                surimi         55          7          1          0      0.167     0.0602\n","                tomate         55          9          1       0.38      0.674       0.54\n","        yogourt griego         55          2          1          0     0.0995     0.0228\n","             zanahoria         55          1          1          0      0.995      0.995\n","Speed: 0.2ms preprocess, 3.1ms inference, 0.0ms loss, 0.0ms postprocess per image\n","Results saved to \u001b[1mruns/detect/train2\u001b[0m\n","💡 Learn more at https://docs.ultralytics.com/modes/train\n"]}],"source":["!yolo task=detect mode=train epochs=100 batch=16 plots=True model=weights/yolov10n.pt data=data.yaml"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":193},"executionInfo":{"elapsed":24,"status":"error","timestamp":1723144833017,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"x5FJcq_08HOr","outputId":"8a59b9c3-b2bf-4061-d8c9-7f911fc5ce70"},"outputs":[{"name":"stdout","output_type":"stream","text":["[Errno 2] No such file or directory: '{HOME}'\n","/content/drive/MyDrive/pho_food_YOLOv10/yolov10\n"]},{"ename":"NameError","evalue":"name 'Image' is not defined","output_type":"error","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m\u003cipython-input-11-9047ec3ae771\u003e\u001b[0m in \u001b[0;36m\u003ccell line: 2\u003e\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_line_magic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'cd'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'{HOME}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----\u003e 2\u001b[0;31m \u001b[0mImage\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf'{HOME}/runs/detect/train6/results.png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwidth\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m600\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mNameError\u001b[0m: name 'Image' is not defined"]}],"source":["%cd {HOME}\n","Image(filename=f'{HOME}/runs/detect/train/results.png', width=600)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NHRqHBpF8CG3"},"outputs":[],"source":["%cd {HOME}\n","Image(filename=f'{HOME}/runs/detect/train/confusion_matrix.png', width=600)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"x3HOsmRwD9NH"},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{"executionInfo":{"elapsed":12,"status":"aborted","timestamp":1723144833018,"user":{"displayName":"Erik Martínez","userId":"01712608569947988332"},"user_tz":-120},"id":"XzpkfjTbD9Dv"},"outputs":[],"source":["!yolo task=detect mode=train epochs=100 batch=16 plots=True model=weights/yolov10l.pt data=custom_data.yaml"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"qdirufA6D9A_"},"outputs":[],"source":["%cd {HOME}\n","Image(filename=f'{HOME}/runs/detect/train7/results.png', width=600)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"DhQhLdE-EHBg"},"outputs":[],"source":["%cd {HOME}\n","Image(filename=f'{HOME}/runs/detect/train7/confusion_matrix.png', width=600)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JwZkLC_XEG_P"},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8vRLaPp6EG8u"},"outputs":[],"source":[]},{"cell_type":"markdown","metadata":{"id":"jZxq3yhK2206"},"source":["INFERENCE PIC"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"c-brCrf921NK"},"outputs":[],"source":["!yolo task=detect mode=predict conf=0.25 save=True model=runs/detect/train/weights/best.pt source=test_images_1/veh2.jpg"]},{"cell_type":"markdown","metadata":{"id":"Qsh1CTZ724Jb"},"source":["INFERENCEN VIDEO"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"XZa8n3ay2xE1"},"outputs":[],"source":["!yolo task=detect mode=predict conf=0.25 save=True model=runs/detect/train/weights/best.pt source=b.mp4"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"TAOYDvg-8A5x"},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"44Eaut_s8O0Z"},"outputs":[],"source":[]},{"cell_type":"markdown","metadata":{"id":"V5k9HdAb8Ppf"},"source":["INFERENCE!!!\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FJD_kQhw8PIf"},"outputs":[],"source":["from ultralytics import YOLOv10\n","\n","model = YOLOv10(f'{HOME}/runs/detect/train/weights/best.pt')\n","\n","dataset = sv.DetectionDataset.from_yolo(\n","    images_directory_path=f\"{dataset.location}/valid/images\",\n","    annotations_directory_path=f\"{dataset.location}/valid/labels\",\n","    data_yaml_path=f\"{dataset.location}/data.yaml\"\n",")\n","\n","bounding_box_annotator = sv.BoundingBoxAnnotator()\n","label_annotator = sv.LabelAnnotator()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"-xspKTvM8QyP"},"outputs":[],"source":["import random\n","\n","random_image = random.choice(list(dataset.images.keys()))\n","random_image = dataset.images[random_image]\n","\n","results = model(source=random_image, conf=0.25)[0]\n","detections = sv.Detections.from_ultralytics(results)\n","\n","annotated_image = bounding_box_annotator.annotate(\n","    scene=random_image, detections=detections)\n","annotated_image = label_annotator.annotate(\n","    scene=annotated_image, detections=detections)\n","\n","sv.plot_image(annotated_image)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"PheQZtxf8Oyv"},"outputs":[],"source":[]}],"metadata":{"accelerator":"GPU","colab":{"authorship_tag":"ABX9TyP9Xeg6d0biHLi3DhiUikpl","gpuType":"L4","machine_shape":"hm","mount_file_id":"1yIVxgJgaUs-R8o_hwZpsoE1eE04pfEo0","name":"","version":""},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}