![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "WvRyifGfTQQ2"
+ },
+ "source": [
+ "# instance segmentation using various different approach"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "yVFdjWeRS8jh",
+ "outputId": "8c057c2b-39c5-4407-ee03-b9358fe17c0b"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Requirement already satisfied: datasets in ./.venv/lib/python3.12/site-packages (3.2.0)\n",
+ "Collecting ultralytics\n",
+ " Downloading ultralytics-8.3.68-py3-none-any.whl.metadata (35 kB)\n",
+ "Requirement already satisfied: filelock in ./.venv/lib/python3.12/site-packages (from datasets) (3.16.1)\n",
+ "Requirement already satisfied: numpy>=1.17 in ./.venv/lib/python3.12/site-packages (from datasets) (2.2.1)\n",
+ "Requirement already satisfied: pyarrow>=15.0.0 in ./.venv/lib/python3.12/site-packages (from datasets) (18.1.0)\n",
+ "Requirement already satisfied: dill<0.3.9,>=0.3.0 in ./.venv/lib/python3.12/site-packages (from datasets) (0.3.8)\n",
+ "Requirement already satisfied: pandas in ./.venv/lib/python3.12/site-packages (from datasets) (2.2.3)\n",
+ "Requirement already satisfied: requests>=2.32.2 in ./.venv/lib/python3.12/site-packages (from datasets) (2.32.3)\n",
+ "Requirement already satisfied: tqdm>=4.66.3 in ./.venv/lib/python3.12/site-packages (from datasets) (4.67.1)\n",
+ "Requirement already satisfied: xxhash in ./.venv/lib/python3.12/site-packages (from datasets) (3.5.0)\n",
+ "Requirement already satisfied: multiprocess<0.70.17 in ./.venv/lib/python3.12/site-packages (from datasets) (0.70.16)\n",
+ "Requirement already satisfied: fsspec<=2024.9.0,>=2023.1.0 in ./.venv/lib/python3.12/site-packages (from fsspec[http]<=2024.9.0,>=2023.1.0->datasets) (2024.9.0)\n",
+ "Requirement already satisfied: aiohttp in ./.venv/lib/python3.12/site-packages (from datasets) (3.11.11)\n",
+ "Requirement already satisfied: huggingface-hub>=0.23.0 in ./.venv/lib/python3.12/site-packages (from datasets) (0.27.1)\n",
+ "Requirement already satisfied: packaging in ./.venv/lib/python3.12/site-packages (from datasets) (24.2)\n",
+ "Requirement already satisfied: pyyaml>=5.1 in ./.venv/lib/python3.12/site-packages (from datasets) (6.0.2)\n",
+ "Requirement already satisfied: matplotlib>=3.3.0 in ./.venv/lib/python3.12/site-packages (from ultralytics) (3.10.0)\n",
+ "Collecting opencv-python>=4.6.0 (from ultralytics)\n",
+ " Downloading opencv_python-4.11.0.86-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (20 kB)\n",
+ "Requirement already satisfied: pillow>=7.1.2 in ./.venv/lib/python3.12/site-packages (from ultralytics) (11.1.0)\n",
+ "Requirement already satisfied: scipy>=1.4.1 in ./.venv/lib/python3.12/site-packages (from ultralytics) (1.15.0)\n",
+ "Collecting torch>=1.8.0 (from ultralytics)\n",
+ " Downloading torch-2.5.1-cp312-cp312-manylinux1_x86_64.whl.metadata (28 kB)\n",
+ "Collecting torchvision>=0.9.0 (from ultralytics)\n",
+ " Downloading torchvision-0.20.1-cp312-cp312-manylinux1_x86_64.whl.metadata (6.1 kB)\n",
+ "Requirement already satisfied: psutil in ./.venv/lib/python3.12/site-packages (from ultralytics) (6.1.1)\n",
+ "Collecting py-cpuinfo (from ultralytics)\n",
+ " Downloading py_cpuinfo-9.0.0-py3-none-any.whl.metadata (794 bytes)\n",
+ "Requirement already satisfied: seaborn>=0.11.0 in ./.venv/lib/python3.12/site-packages (from ultralytics) (0.13.2)\n",
+ "Collecting ultralytics-thop>=2.0.0 (from ultralytics)\n",
+ " Downloading ultralytics_thop-2.0.14-py3-none-any.whl.metadata (9.4 kB)\n",
+ "Requirement already satisfied: aiohappyeyeballs>=2.3.0 in ./.venv/lib/python3.12/site-packages (from aiohttp->datasets) (2.4.4)\n",
+ "Requirement already satisfied: aiosignal>=1.1.2 in ./.venv/lib/python3.12/site-packages (from aiohttp->datasets) (1.3.2)\n",
+ "Requirement already satisfied: attrs>=17.3.0 in ./.venv/lib/python3.12/site-packages (from aiohttp->datasets) (24.3.0)\n",
+ "Requirement already satisfied: frozenlist>=1.1.1 in ./.venv/lib/python3.12/site-packages (from aiohttp->datasets) (1.5.0)\n",
+ "Requirement already satisfied: multidict<7.0,>=4.5 in ./.venv/lib/python3.12/site-packages (from aiohttp->datasets) (6.1.0)\n",
+ "Requirement already satisfied: propcache>=0.2.0 in ./.venv/lib/python3.12/site-packages (from aiohttp->datasets) (0.2.1)\n",
+ "Requirement already satisfied: yarl<2.0,>=1.17.0 in ./.venv/lib/python3.12/site-packages (from aiohttp->datasets) (1.18.3)\n",
+ "Requirement already satisfied: typing-extensions>=3.7.4.3 in ./.venv/lib/python3.12/site-packages (from huggingface-hub>=0.23.0->datasets) (4.12.2)\n",
+ "Requirement already satisfied: contourpy>=1.0.1 in ./.venv/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (1.3.1)\n",
+ "Requirement already satisfied: cycler>=0.10 in ./.venv/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (0.12.1)\n",
+ "Requirement already satisfied: fonttools>=4.22.0 in ./.venv/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (4.55.3)\n",
+ "Requirement already satisfied: kiwisolver>=1.3.1 in ./.venv/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (1.4.8)\n",
+ "Requirement already satisfied: pyparsing>=2.3.1 in ./.venv/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (3.2.1)\n",
+ "Requirement already satisfied: python-dateutil>=2.7 in ./.venv/lib/python3.12/site-packages (from matplotlib>=3.3.0->ultralytics) (2.9.0.post0)\n",
+ "Requirement already satisfied: pytz>=2020.1 in ./.venv/lib/python3.12/site-packages (from pandas->datasets) (2024.2)\n",
+ "Requirement already satisfied: tzdata>=2022.7 in ./.venv/lib/python3.12/site-packages (from pandas->datasets) (2024.2)\n",
+ "Requirement already satisfied: charset-normalizer<4,>=2 in ./.venv/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (3.4.1)\n",
+ "Requirement already satisfied: idna<4,>=2.5 in ./.venv/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (3.10)\n",
+ "Requirement already satisfied: urllib3<3,>=1.21.1 in ./.venv/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (2.3.0)\n",
+ "Requirement already satisfied: certifi>=2017.4.17 in ./.venv/lib/python3.12/site-packages (from requests>=2.32.2->datasets) (2024.12.14)\n",
+ "Collecting networkx (from torch>=1.8.0->ultralytics)\n",
+ " Downloading networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB)\n",
+ "Collecting jinja2 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading jinja2-3.1.5-py3-none-any.whl.metadata (2.6 kB)\n",
+ "Collecting nvidia-cuda-nvrtc-cu12==12.4.127 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+ "Collecting nvidia-cuda-runtime-cu12==12.4.127 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+ "Collecting nvidia-cuda-cupti-cu12==12.4.127 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+ "Collecting nvidia-cudnn-cu12==9.1.0.70 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+ "Collecting nvidia-cublas-cu12==12.4.5.8 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+ "Collecting nvidia-cufft-cu12==11.2.1.3 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+ "Collecting nvidia-curand-cu12==10.3.5.147 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+ "Collecting nvidia-cusolver-cu12==11.6.1.9 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+ "Collecting nvidia-cusparse-cu12==12.3.1.170 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl.metadata (1.6 kB)\n",
+ "Collecting nvidia-nccl-cu12==2.21.5 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB)\n",
+ "Collecting nvidia-nvtx-cu12==12.4.127 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.7 kB)\n",
+ "Collecting nvidia-nvjitlink-cu12==12.4.127 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)\n",
+ "Collecting triton==3.1.0 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (1.3 kB)\n",
+ "Collecting setuptools (from torch>=1.8.0->ultralytics)\n",
+ " Using cached setuptools-75.8.0-py3-none-any.whl.metadata (6.7 kB)\n",
+ "Collecting sympy==1.13.1 (from torch>=1.8.0->ultralytics)\n",
+ " Downloading sympy-1.13.1-py3-none-any.whl.metadata (12 kB)\n",
+ "Collecting mpmath<1.4,>=1.1.0 (from sympy==1.13.1->torch>=1.8.0->ultralytics)\n",
+ " Downloading mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)\n",
+ "Requirement already satisfied: six>=1.5 in ./.venv/lib/python3.12/site-packages (from python-dateutil>=2.7->matplotlib>=3.3.0->ultralytics) (1.17.0)\n",
+ "Collecting MarkupSafe>=2.0 (from jinja2->torch>=1.8.0->ultralytics)\n",
+ " Downloading MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB)\n",
+ "Downloading ultralytics-8.3.68-py3-none-any.whl (913 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m913.6/913.6 kB\u001b[0m \u001b[31m4.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hDownloading opencv_python-4.11.0.86-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (63.0 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m63.0/63.0 MB\u001b[0m \u001b[31m11.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading torch-2.5.1-cp312-cp312-manylinux1_x86_64.whl (906.4 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m906.4/906.4 MB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:02\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl (363.4 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m10.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cuda_cupti_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (13.8 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.8/13.8 MB\u001b[0m \u001b[31m8.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (24.6 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.6/24.6 MB\u001b[0m \u001b[31m7.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (883 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m883.7/883.7 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m8.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:02\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl (211.5 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m11.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl (56.3 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.3/56.3 MB\u001b[0m \u001b[31m13.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl (127.9 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m127.9/127.9 MB\u001b[0m \u001b[31m10.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl (207.5 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m10.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl (188.7 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m188.7/188.7 MB\u001b[0m \u001b[31m11.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m11.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (99 kB)\n",
+ "Downloading sympy-1.13.1-py3-none-any.whl (6.2 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.2/6.2 MB\u001b[0m \u001b[31m11.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0ma \u001b[36m0:00:01\u001b[0m\n",
+ "\u001b[?25hDownloading triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (209.6 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m209.6/209.6 MB\u001b[0m \u001b[31m9.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading torchvision-0.20.1-cp312-cp312-manylinux1_x86_64.whl (7.2 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.2/7.2 MB\u001b[0m \u001b[31m3.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m00:01\u001b[0m\n",
+ "\u001b[?25hDownloading ultralytics_thop-2.0.14-py3-none-any.whl (26 kB)\n",
+ "Downloading py_cpuinfo-9.0.0-py3-none-any.whl (22 kB)\n",
+ "Downloading jinja2-3.1.5-py3-none-any.whl (134 kB)\n",
+ "Downloading networkx-3.4.2-py3-none-any.whl (1.7 MB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.7/1.7 MB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0mta \u001b[36m0:00:01\u001b[0m\n",
+ "\u001b[?25hUsing cached setuptools-75.8.0-py3-none-any.whl (1.2 MB)\n",
+ "Downloading MarkupSafe-3.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (23 kB)\n",
+ "Downloading mpmath-1.3.0-py3-none-any.whl (536 kB)\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m536.2/536.2 kB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25hInstalling collected packages: py-cpuinfo, mpmath, triton, sympy, setuptools, opencv-python, 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, networkx, MarkupSafe, nvidia-cusparse-cu12, nvidia-cudnn-cu12, jinja2, nvidia-cusolver-cu12, torch, ultralytics-thop, torchvision, ultralytics\n",
+ "Successfully installed MarkupSafe-3.0.2 jinja2-3.1.5 mpmath-1.3.0 networkx-3.4.2 nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nccl-cu12-2.21.5 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.4.127 opencv-python-4.11.0.86 py-cpuinfo-9.0.0 setuptools-75.8.0 sympy-1.13.1 torch-2.5.1 torchvision-0.20.1 triton-3.1.0 ultralytics-8.3.68 ultralytics-thop-2.0.14\n"
+ ]
+ }
+ ],
+ "source": [
+ "! pip install datasets ultralytics"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 430,
+ "referenced_widgets": [
+ "f110bf4cec204815b518dcd7262f4110",
+ "6c6ee1eec7764ab88d97dcdd3b823411",
+ "4a57bf2d79874b4f9cf78eb604556f67",
+ "294b9c9a60664948a694b94d65a6e3ee",
+ "d7fd1c9f3e2a4da6958249e8f146d887",
+ "d237c86e9087450bbba6b8bd48485dc6",
+ "bb59949fafd94785bae45321e0711837",
+ "759fd1dedf694f57b1bd23309e7749d8",
+ "4fa8ea4ec26d4d60983374fa44a0df76",
+ "8ab46df36bc0484188b7dd31d7e1b069",
+ "b0ca058cab35428e9b845bd5dfdefdc7",
+ "bb216713afad4ec7b55e9382498e8a93",
+ "3ae35a6c4fa048b495ebe5a477de961b",
+ "5fd9fbac8ae14bcc9c3becb17980589c",
+ "2ebd4788f82d4d6f89cf08b89dc071bf",
+ "04b9d680e34c4ff89552b093f68b6e89",
+ "f765b3535f8d48f987ff7f0d1ed0d27e",
+ "02ef3a2d28c84af98e466e399a42f8a4",
+ "646934b1a9c5438eba158d47ec8e804f",
+ "347eb74722f74db7952ceb378885b5a4",
+ "353da333b46a4487800c2243e4305153",
+ "c6dc7afc53094fb8a630dd9ca41e6c48",
+ "5fe19a732e96458d9da6c04951f65792",
+ "98f1dfdadd5440afa23fa793c5982b29",
+ "14fe10b7a9a24d8799aa1c6e044de554",
+ "80598cce422d4892a0aded2f1b78ec7e",
+ "85e1150e38e14575acec852e11e5ea43",
+ "7ddcffa3be8349dea54077b2abeee3ad",
+ "b4806effde704aeead948920debebcdd",
+ "6a7e26dcba854bca8504a57aa17e391c",
+ "a3119fce6b6942f5b01e7d3cb5f0af27",
+ "63755d6d09744efcbc63297372e1d679",
+ "a333e2d5bb284c5087f86ed4655268b9",
+ "057301b8a5694d14bc3fcb71d0c29eaf",
+ "59facccfa2f44d87a5e14d42b2c5b112",
+ "48cf627fbb9243c7b52a4b9f669b978c",
+ "254ed912e97c42e589c81320bdb9c41f",
+ "c3b871e061134a5f9561c8d473a46964",
+ "d8e237beb6114ceeb81d216c2b920570",
+ "e3f6a23964704488bac6372cb5e94bc3",
+ "fdababc887cc4ad99bcc5393b6873a81",
+ "3967f6d26e3c4a27b5a9b073b3cfa819",
+ "9390dfa535a443b789930a452ebc334a",
+ "13eb3bf7aa4c456d8ecabf7b1463be92",
+ "0728467c6fc04a8bb5ef2abb6acca3d3",
+ "ea2e17d8f56f4e918ef714cb3e70c840",
+ "46123093d57f45af930f396d5147c91b",
+ "3fa50ca858394748b2394a5ff78ae32a",
+ "8ab0ad4afb054b98b39cbf4a05379d14",
+ "1ea611c39ee74ede859f99a672709e15",
+ "3982e7688d694e4e8e209cb166bf87c2",
+ "f0fdd04aa17741988080beb831fc6882",
+ "bb05dfeca514492681181ba56a51225f",
+ "0c4018c823ff47de9e365fbc83a1c22f",
+ "1fc97d1dd8a44c6ea5eec0008b9d7747",
+ "8b2de2230ec3476b90d6803764c0365a",
+ "442217a94c7642588b62016d06d6daab",
+ "db6dfa339ecb4b06afc9a4b5b8d57c83",
+ "7457284827654633b7abb74a98428ecf",
+ "fceb8ef4dff9473a854d223958f0770f",
+ "b13dffe8b9a445a4954f61b5aab10adc",
+ "5280eb3992bb4ddd87ab4122ec6f89a0",
+ "c958344979d448c9b452c7ef99d0da1d",
+ "75d2c6bf23b0484086d5020a6d6c3929",
+ "d7e0bebda4854874ae4288395d554412",
+ "03b20ea8d48048fa9ec11862c2855386",
+ "053f3073855549259ec5e3ea7a2c3863",
+ "bd39751fd17043ec836dc677d0b34031",
+ "455cf66e4c024f79b8ec35b1705cfa2e",
+ "508574e083e74f7eb2cf14657a8bce47",
+ "1273af0e3b084d0488ce9c34fb25f805",
+ "e1fa41a7055c4595a0334b08a80c0f77",
+ "1348742c59ba4a00aed3f1c10fc31fb8",
+ "72ce547f43b844319e3a4e0ec71e5131",
+ "9e9bc0853164443ca02800c42bc7eed6",
+ "ad7fdb6be4624917b0c4e93574881a31",
+ "458552538dc749178ea12de9e16d20e0",
+ "7d3fd3314d9d4d1e90d8820a79c9a954",
+ "c70e52edfe3e4222b51b7542424a4c37",
+ "f39c430c793943db88fa8e1ea26681d9",
+ "414adc5bc471472ab50a847244ea1151",
+ "fbf960e037324895801507bb74b6f401",
+ "5e57bf8b48af4ce1b9ddf7f95359aec5",
+ "a80cd47fa08940e8a4e8b41a4ac689cf",
+ "0ee94c205ab8405ebc1fe535a51823d9",
+ "60a3b53107214e319bc9f72f128d7e9a",
+ "fd4ee64461ab4625b88ce785d089343d",
+ "4924c3c2633a422390b2a8355d0f21e3"
+ ]
+ },
+ "id": "jnJT1oEGVV6d",
+ "outputId": "1c18d27b-310f-4c45-b299-f2839a2922c8"
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/xd/Documents/machine_learning/ML_Notebooks/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+ " from .autonotebook import tqdm as notebook_tqdm\n",
+ "Generating train split: 100%|██████████| 6176/6176 [00:02<00:00, 2845.51 examples/s]\n",
+ "Generating validation split: 100%|██████████| 1765/1765 [00:00<00:00, 24120.12 examples/s]\n",
+ "Generating test split: 100%|██████████| 882/882 [00:00<00:00, 21573.47 examples/s]\n"
+ ]
+ }
+ ],
+ "source": [
+ "from datasets import load_dataset\n",
+ "\n",
+ "ds = load_dataset(\"keremberke/license-plate-object-detection\", \"full\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "haIMLABdXUmZ",
+ "outputId": "f9730faf-6301-4f97-a441-8ef4f97f2f78"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Creating new Ultralytics Settings v0.0.6 file ✅ \n",
+ "View Ultralytics Settings with 'yolo settings' or at '/home/xd/.config/Ultralytics/settings.json'\n",
+ "Update Settings with 'yolo settings key=value', i.e. 'yolo settings runs_dir=path/to/dir'. For help see https://docs.ultralytics.com/quickstart/#ultralytics-settings.\n"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "from matplotlib import pyplot as plt\n",
+ "import numpy as np\n",
+ "import cv2\n",
+ "from ultralytics import YOLO"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 685
+ },
+ "id": "xEqD51f1Xmce",
+ "outputId": "8568a97c-a572-4e2b-c175-89e1c8c56f4a"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "| \n", + " | image_id | \n", + "image | \n", + "width | \n", + "height | \n", + "objects | \n", + "
|---|---|---|---|---|---|
| 0 | \n", + "6152 | \n", + "{'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... | \n", + "472 | \n", + "303 | \n", + "{'id': [6388], 'area': [2604], 'bbox': [[261.0... | \n", + "
| 1 | \n", + "5500 | \n", + "{'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... | \n", + "472 | \n", + "303 | \n", + "{'id': [5719], 'area': [742], 'bbox': [[263.0,... | \n", + "
| 2 | \n", + "1188 | \n", + "{'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... | \n", + "400 | \n", + "240 | \n", + "{'id': [1231], 'area': [2701], 'bbox': [[147.0... | \n", + "
| 3 | \n", + "3524 | \n", + "{'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... | \n", + "540 | \n", + "405 | \n", + "{'id': [3651], 'area': [800], 'bbox': [[217.0,... | \n", + "
| 4 | \n", + "5049 | \n", + "{'bytes': b'\\xff\\xd8\\xff\\xe0\\x00\\x10JFIF\\x00\\x... | \n", + "472 | \n", + "303 | \n", + "{'id': [5242], 'area': [2112], 'bbox': [[145.0... | \n", + "