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{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.11","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[],"dockerImageVersionId":31040,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"#安装虚拟环境\n\n!wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n!bash Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local\n!which conda\n# 创建 Python 3.10 环境\n!conda create -n py310 python=3.10 -y\n!conda install -n py310 -c conda-forge cudatoolkit=11.2 cudnn=8.1 -y\n\n!/usr/local/envs/py310/bin/pip uninstall onnxruntime onnxruntime-gpu\n!/usr/local/envs/py310/bin/pip install onnxruntime-gpu==1.15.1","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2025-06-20T02:47:19.459004Z","iopub.execute_input":"2025-06-20T02:47:19.459219Z","iopub.status.idle":"2025-06-20T02:50:22.726589Z","shell.execute_reply.started":"2025-06-20T02:47:19.459196Z","shell.execute_reply":"2025-06-20T02:50:22.725859Z"},"scrolled":true},"outputs":[{"name":"stdout","text":"--2025-06-20 02:47:19-- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\nResolving repo.anaconda.com (repo.anaconda.com)... 104.16.32.241, 104.16.191.158, 2606:4700::6810:bf9e, ...\nConnecting to repo.anaconda.com (repo.anaconda.com)|104.16.32.241|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 155472915 (148M) [application/octet-stream]\nSaving to: ‘Miniconda3-latest-Linux-x86_64.sh’\n\nMiniconda3-latest-L 100%[===================>] 148.27M 209MB/s in 0.7s \n\n2025-06-20 02:47:20 (209 MB/s) - ‘Miniconda3-latest-Linux-x86_64.sh’ saved [155472915/155472915]\n\nPREFIX=/usr/local\nUnpacking payload ...\nentry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\nentry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\n\nInstalling base environment...\n\nPreparing transaction: ...working... done\nExecuting transaction: ...working... done\nentry_point.py:256: DeprecationWarning: Python 3.14 will, by default, filter extracted tar archives and reject files or modify their metadata. Use the filter argument to control this behavior.\ninstallation finished.\nWARNING:\n You currently have a PYTHONPATH environment variable set. This may cause\n unexpected behavior when running the Python interpreter in Miniconda3.\n For best results, please verify that your PYTHONPATH only points to\n directories of packages that are compatible with the Python interpreter\n in Miniconda3: /usr/local\n/usr/local/bin/conda\nChannels:\n - defaults\nPlatform: linux-64\nCollecting package metadata (repodata.json): done\nSolving environment: done\n\n\n==> WARNING: A newer version of conda exists. <==\n current version: 25.3.1\n latest version: 25.5.1\n\nPlease update conda by running\n\n $ conda update -n base -c defaults conda\n\n\n\n## Package Plan ##\n\n environment location: /usr/local/envs/py310\n\n added / updated specs:\n - python=3.10\n\n\nThe following packages will be downloaded:\n\n package | build\n ---------------------------|-----------------\n libxcb-1.17.0 | h9b100fa_0 430 KB\n pip-25.1 | pyhc872135_2 1.3 MB\n pthread-stubs-0.3 | h0ce48e5_1 5 KB\n python-3.10.18 | h1a3bd86_0 26.5 MB\n setuptools-78.1.1 | py310h06a4308_0 1.7 MB\n tk-8.6.14 | h993c535_1 3.4 MB\n tzdata-2025b | h04d1e81_0 116 KB\n wheel-0.45.1 | py310h06a4308_0 115 KB\n xorg-libx11-1.8.12 | h9b100fa_1 895 KB\n xorg-libxau-1.0.12 | h9b100fa_0 13 KB\n xorg-libxdmcp-1.1.5 | h9b100fa_0 19 KB\n xorg-xorgproto-2024.1 | h5eee18b_1 580 KB\n ------------------------------------------------------------\n Total: 35.1 MB\n\nThe following NEW packages will be INSTALLED:\n\n _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main \n _openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu \n bzip2 pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6 \n ca-certificates pkgs/main/linux-64::ca-certificates-2025.2.25-h06a4308_0 \n expat pkgs/main/linux-64::expat-2.7.1-h6a678d5_0 \n ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0 \n libffi pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1 \n libgcc-ng pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1 \n libgomp pkgs/main/linux-64::libgomp-11.2.0-h1234567_1 \n libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1 \n libuuid pkgs/main/linux-64::libuuid-1.41.5-h5eee18b_0 \n libxcb pkgs/main/linux-64::libxcb-1.17.0-h9b100fa_0 \n ncurses pkgs/main/linux-64::ncurses-6.4-h6a678d5_0 \n openssl pkgs/main/linux-64::openssl-3.0.16-h5eee18b_0 \n pip pkgs/main/noarch::pip-25.1-pyhc872135_2 \n pthread-stubs pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 \n python pkgs/main/linux-64::python-3.10.18-h1a3bd86_0 \n readline pkgs/main/linux-64::readline-8.2-h5eee18b_0 \n setuptools pkgs/main/linux-64::setuptools-78.1.1-py310h06a4308_0 \n sqlite pkgs/main/linux-64::sqlite-3.45.3-h5eee18b_0 \n tk pkgs/main/linux-64::tk-8.6.14-h993c535_1 \n tzdata pkgs/main/noarch::tzdata-2025b-h04d1e81_0 \n wheel pkgs/main/linux-64::wheel-0.45.1-py310h06a4308_0 \n xorg-libx11 pkgs/main/linux-64::xorg-libx11-1.8.12-h9b100fa_1 \n xorg-libxau pkgs/main/linux-64::xorg-libxau-1.0.12-h9b100fa_0 \n xorg-libxdmcp pkgs/main/linux-64::xorg-libxdmcp-1.1.5-h9b100fa_0 \n xorg-xorgproto pkgs/main/linux-64::xorg-xorgproto-2024.1-h5eee18b_1 \n xz pkgs/main/linux-64::xz-5.6.4-h5eee18b_1 \n zlib pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1 \n\n\n\nDownloading and Extracting Packages:\npython-3.10.18 | 26.5 MB | | 0% \ntk-8.6.14 | 3.4 MB | | 0% \u001b[A\n\nsetuptools-78.1.1 | 1.7 MB | | 0% \u001b[A\u001b[A\n\n\npip-25.1 | 1.3 MB | | 0% \u001b[A\u001b[A\u001b[A\n\n\n\nxorg-libx11-1.8.12 | 895 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\nxorg-xorgproto-2024. | 580 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\nlibxcb-1.17.0 | 430 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\ntzdata-2025b | 116 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\nwheel-0.45.1 | 115 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\nxorg-libxdmcp-1.1.5 | 19 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\nxorg-libxau-1.0.12 | 13 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\n\npthread-stubs-0.3 | 5 KB | | 0% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\npython-3.10.18 | 26.5 MB | | 0% \u001b[A\u001b[A\ntk-8.6.14 | 3.4 MB | ###8 | 10% \u001b[A\n\n\n\nxorg-libx11-1.8.12 | 895 KB | #######2 | 20% \u001b[A\u001b[A\u001b[A\u001b[A\n\n\npip-25.1 | 1.3 MB | ####5 | 12% \u001b[A\u001b[A\u001b[A\n\n\n\nxorg-libx11-1.8.12 | 895 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\nxorg-xorgproto-2024. | 580 KB | # | 3% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\npython-3.10.18 | 26.5 MB | ###3 | 9% \u001b[A\u001b[A\u001b[A\n\n\n\n\nxorg-xorgproto-2024. | 580 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\nlibxcb-1.17.0 | 430 KB | #3 | 4% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\ntzdata-2025b | 116 KB | ##### | 14% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\nsetuptools-78.1.1 | 1.7 MB | ##################################### | 100% \u001b[A\u001b[A\n\nsetuptools-78.1.1 | 1.7 MB | ##################################### | 100% \u001b[A\u001b[A\n\n\n\n\n\nlibxcb-1.17.0 | 430 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\ntzdata-2025b | 116 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\nxorg-libxau-1.0.12 | 13 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\nxorg-libxau-1.0.12 | 13 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\npython-3.10.18 | 26.5 MB | ######## | 22% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\ntk-8.6.14 | 3.4 MB | ##################################### | 100% \u001b[A\ntk-8.6.14 | 3.4 MB | ##################################### | 100% \u001b[A\n\n\n\n\n\n\n\nwheel-0.45.1 | 115 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\nxorg-libxdmcp-1.1.5 | 19 KB | ###############################4 | 85% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\nxorg-libxdmcp-1.1.5 | 19 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\n\npthread-stubs-0.3 | 5 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\n\npython-3.10.18 | 26.5 MB | ############################ | 76% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\nxorg-libx11-1.8.12 | 895 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\npython-3.10.18 | 26.5 MB | ##################################9 | 94% \u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\nxorg-xorgproto-2024. | 580 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\nxorg-xorgproto-2024. | 580 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\nlibxcb-1.17.0 | 430 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\nlibxcb-1.17.0 | 430 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\npip-25.1 | 1.3 MB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\n\n\npip-25.1 | 1.3 MB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\npython-3.10.18 | 26.5 MB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\ntzdata-2025b | 116 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\ntzdata-2025b | 116 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\nwheel-0.45.1 | 115 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\nwheel-0.45.1 | 115 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\nxorg-libxdmcp-1.1.5 | 19 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\n\npthread-stubs-0.3 | 5 KB | ##################################### | 100% \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\ntk-8.6.14 | 3.4 MB | ##################################### | 100% \u001b[A\n\n \u001b[A\u001b[A\n \u001b[A\n\n \u001b[A\u001b[A\n\n\n \u001b[A\u001b[A\u001b[A\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n\n\n\n\n\n\n\n\n\n\n \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\n#\n# To activate this environment, use\n#\n# $ conda activate py310\n#\n# To deactivate an active environment, use\n#\n# $ conda deactivate\n\nChannels:\n - conda-forge\n - defaults\nPlatform: linux-64\nCollecting package metadata (repodata.json): done\nSolving environment: done\n\n\n==> WARNING: A newer version of conda exists. <==\n current version: 25.3.1\n latest version: 25.5.1\n\nPlease update conda by running\n\n $ conda update -n base -c defaults conda\n\n\n\n## Package Plan ##\n\n environment location: /usr/local/envs/py310\n\n added / updated specs:\n - cudatoolkit=11.2\n - cudnn=8.1\n\n\nThe following packages will be downloaded:\n\n package | build\n ---------------------------|-----------------\n ca-certificates-2025.6.15 | hbd8a1cb_0 148 KB conda-forge\n cudatoolkit-11.2.2 | hbe64b41_10 876.8 MB conda-forge\n cudnn-8.1.0.77 | h90431f1_0 634.8 MB conda-forge\n ------------------------------------------------------------\n Total: 1.48 GB\n\nThe following NEW packages will be INSTALLED:\n\n cudatoolkit conda-forge/linux-64::cudatoolkit-11.2.2-hbe64b41_10 \n cudnn conda-forge/linux-64::cudnn-8.1.0.77-h90431f1_0 \n\nThe following packages will be UPDATED:\n\n ca-certificates pkgs/main/linux-64::ca-certificates-2~ --> conda-forge/noarch::ca-certificates-2025.6.15-hbd8a1cb_0 \n\n\n\nDownloading and Extracting Packages:\ncudatoolkit-11.2.2 | 876.8 MB | | 0% \ncudnn-8.1.0.77 | 634.8 MB | | 0% \u001b[A\n\ncudatoolkit-11.2.2 | 876.8 MB | | 0% \u001b[A\u001b[A\n\nca-certificates-2025 | 148 KB | #### | 11% \u001b[A\u001b[A\ncudnn-8.1.0.77 | 634.8 MB | | 0% \u001b[A\n\nca-certificates-2025 | 148 KB | ##################################### | 100% \u001b[A\u001b[A\n\ncudatoolkit-11.2.2 | 876.8 MB | 2 | 1% \u001b[A\u001b[A\ncudatoolkit-11.2.2 | 876.8 MB | 4 | 1% \u001b[A\ncudatoolkit-11.2.2 | 876.8 MB | 6 | 2% \u001b[A\ncudnn-8.1.0.77 | 634.8 MB | ##2 | 6% \u001b[A\ncudatoolkit-11.2.2 | 876.8 MB | 8 | 2% \u001b[A\ncudatoolkit-11.2.2 | 876.8 MB | #2 | 3% 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https://docs.nvidia.com/deeplearning/cudnn/sla/index.html\n\ndone\n\u001b[33mWARNING: Skipping onnxruntime as it is not installed.\u001b[0m\u001b[33m\n\u001b[0m\u001b[33mWARNING: Skipping onnxruntime-gpu as it is not installed.\u001b[0m\u001b[33m\n\u001b[0mCollecting onnxruntime-gpu==1.15.1\n Downloading onnxruntime_gpu-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.0 kB)\nCollecting coloredlogs (from onnxruntime-gpu==1.15.1)\n Downloading coloredlogs-15.0.1-py2.py3-none-any.whl.metadata (12 kB)\nCollecting flatbuffers (from onnxruntime-gpu==1.15.1)\n Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)\nCollecting numpy>=1.21.6 (from onnxruntime-gpu==1.15.1)\n Downloading numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (62 kB)\nCollecting packaging (from onnxruntime-gpu==1.15.1)\n Downloading packaging-25.0-py3-none-any.whl.metadata (3.3 kB)\nCollecting protobuf (from onnxruntime-gpu==1.15.1)\n Downloading protobuf-6.31.1-cp39-abi3-manylinux2014_x86_64.whl.metadata (593 bytes)\nCollecting sympy (from onnxruntime-gpu==1.15.1)\n Downloading sympy-1.14.0-py3-none-any.whl.metadata (12 kB)\nCollecting humanfriendly>=9.1 (from coloredlogs->onnxruntime-gpu==1.15.1)\n Downloading humanfriendly-10.0-py2.py3-none-any.whl.metadata (9.2 kB)\nCollecting mpmath<1.4,>=1.1.0 (from sympy->onnxruntime-gpu==1.15.1)\n Downloading mpmath-1.3.0-py3-none-any.whl.metadata (8.6 kB)\nDownloading onnxruntime_gpu-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (121.6 MB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m121.6/121.6 MB\u001b[0m \u001b[31m83.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m0:01\u001b[0m\n\u001b[?25hDownloading numpy-2.2.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.8 MB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.8/16.8 MB\u001b[0m \u001b[31m126.7 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\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m9/9\u001b[0m [onnxruntime-gpu] [onnxruntime-gpu]\n\u001b[1A\u001b[2KSuccessfully installed coloredlogs-15.0.1 flatbuffers-25.2.10 humanfriendly-10.0 mpmath-1.3.0 numpy-2.2.6 onnxruntime-gpu-1.15.1 packaging-25.0 protobuf-6.31.1 sympy-1.14.0\n","output_type":"stream"}],"execution_count":1},{"cell_type":"code","source":"!git clone https://github.com/Vander-Bilt/smart-swap.git\n%cd smart-swap\n!/usr/local/envs/py310/bin/pip install -r requirements.txt","metadata":{"trusted":true,"scrolled":true,"execution":{"iopub.status.busy":"2025-06-20T02:50:22.727939Z","iopub.execute_input":"2025-06-20T02:50:22.728215Z","iopub.status.idle":"2025-06-20T02:56:50.958656Z","shell.execute_reply.started":"2025-06-20T02:50:22.728191Z","shell.execute_reply":"2025-06-20T02:56:50.957928Z"}},"outputs":[{"name":"stdout","text":"Cloning into 'smart-swap'...\nremote: Enumerating objects: 145, done.\u001b[K\nremote: Counting objects: 100% (145/145), done.\u001b[K\nremote: Compressing objects: 100% (132/132), done.\u001b[K\nremote: Total 145 (delta 58), reused 13 (delta 7), pack-reused 0 (from 0)\u001b[K\nReceiving objects: 100% (145/145), 3.13 MiB | 15.72 MiB/s, done.\nResolving deltas: 100% (58/58), done.\n/kaggle/working/smart-swap\nLooking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu118\nIgnoring torch: markers 'sys_platform == \"darwin\"' don't match your environment\nIgnoring torchvision: markers 'sys_platform == \"darwin\"' don't match your environment\nIgnoring onnxruntime: markers 'sys_platform == \"darwin\" and platform_machine != \"arm64\"' don't match your environment\nIgnoring onnxruntime-silicon: markers 'sys_platform == \"darwin\" and platform_machine == \"arm64\"' don't match your environment\nCollecting numpy==1.24.2 (from -r requirements.txt (line 3))\n Downloading numpy-1.24.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.6 kB)\nCollecting gradio>=3.38.0 (from -r requirements.txt (line 4))\n Downloading gradio-5.34.2-py3-none-any.whl.metadata (16 kB)\nCollecting opencv-python==4.7.0.72 (from -r requirements.txt (line 5))\n Downloading opencv_python-4.7.0.72-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (18 kB)\nCollecting onnx==1.14.0 (from -r requirements.txt (line 6))\n Downloading onnx-1.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (15 kB)\nCollecting insightface==0.7.3 (from -r requirements.txt (line 7))\n Downloading insightface-0.7.3.tar.gz (439 kB)\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\nCollecting psutil==5.9.5 (from -r requirements.txt (line 8))\n Downloading psutil-5.9.5-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (21 kB)\nCollecting pillow==9.5.0 (from -r requirements.txt (line 9))\n Downloading Pillow-9.5.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (9.5 kB)\nCollecting torch==2.0.1+cu118 (from -r requirements.txt (line 10))\n Downloading https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl (2267.3 MB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.3/2.3 GB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m0:00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hCollecting torchvision==0.15.2+cu118 (from -r requirements.txt (line 12))\n Downloading https://download.pytorch.org/whl/cu118/torchvision-0.15.2%2Bcu118-cp310-cp310-linux_x86_64.whl (6.1 MB)\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.1/6.1 MB\u001b[0m \u001b[31m113.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hCollecting onnxruntime-gpu==1.15.0 (from -r requirements.txt (line 16))\n Downloading onnxruntime_gpu-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.9 kB)\nCollecting tensorflow==2.13.0 (from -r requirements.txt (line 17))\n Downloading tensorflow-2.13.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.4 kB)\nCollecting opennsfw2==0.10.2 (from -r requirements.txt (line 18))\n Downloading opennsfw2-0.10.2-py3-none-any.whl.metadata (11 kB)\nCollecting notion-client (from -r requirements.txt (line 19))\n Downloading notion_client-2.4.0-py2.py3-none-any.whl.metadata (11 kB)\nCollecting protobuf==4.23.2 (from -r requirements.txt (line 20))\n Downloading protobuf-4.23.2-cp37-abi3-manylinux2014_x86_64.whl.metadata (540 bytes)\nCollecting tqdm==4.65.0 (from -r requirements.txt (line 21))\n Downloading tqdm-4.65.0-py3-none-any.whl.metadata (56 kB)\nCollecting codeformer-pip==0.0.4 (from -r requirements.txt (line 22))\n Downloading codeformer-pip-0.0.4.tar.gz (111 kB)\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\nCollecting gfpgan==1.3.8 (from -r requirements.txt (line 23))\n Downloading gfpgan-1.3.8-py3-none-any.whl.metadata (12 kB)\nCollecting ftfy (from -r requirements.txt (line 24))\n Downloading ftfy-6.3.1-py3-none-any.whl.metadata (7.3 kB)\nCollecting regex (from -r requirements.txt (line 25))\n Downloading regex-2024.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (40 kB)\nCollecting typing-extensions>=3.6.2.1 (from onnx==1.14.0->-r requirements.txt (line 6))\n Downloading typing_extensions-4.14.0-py3-none-any.whl.metadata (3.0 kB)\nCollecting requests (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading requests-2.32.4-py3-none-any.whl.metadata (4.9 kB)\nCollecting matplotlib (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading matplotlib-3.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)\nCollecting scipy (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading scipy-1.15.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (61 kB)\nCollecting scikit-learn (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading scikit_learn-1.7.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (17 kB)\nCollecting scikit-image (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading scikit_image-0.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (14 kB)\nCollecting easydict (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading easydict-1.13-py3-none-any.whl.metadata (4.2 kB)\nCollecting cython (from insightface==0.7.3->-r requirements.txt (line 7))\n Using cached cython-3.1.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (5.9 kB)\nCollecting albumentations (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading albumentations-2.0.8-py3-none-any.whl.metadata (43 kB)\nCollecting prettytable (from insightface==0.7.3->-r requirements.txt (line 7))\n Downloading prettytable-3.16.0-py3-none-any.whl.metadata (33 kB)\nCollecting filelock (from torch==2.0.1+cu118->-r requirements.txt (line 10))\n Downloading filelock-3.18.0-py3-none-any.whl.metadata (2.9 kB)\nRequirement already satisfied: sympy in /usr/local/envs/py310/lib/python3.10/site-packages (from torch==2.0.1+cu118->-r requirements.txt (line 10)) (1.14.0)\nCollecting networkx (from torch==2.0.1+cu118->-r requirements.txt (line 10))\n Downloading networkx-3.4.2-py3-none-any.whl.metadata (6.3 kB)\nCollecting jinja2 (from torch==2.0.1+cu118->-r requirements.txt (line 10))\n Downloading jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)\nCollecting triton==2.0.0 (from torch==2.0.1+cu118->-r requirements.txt (line 10))\n Downloading 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\u001b[?25l\u001b[?25hdone\n Created wheel for insightface: filename=insightface-0.7.3-cp310-cp310-linux_x86_64.whl size=879596 sha256=109182815a443ad0b8c5b4ad07d2ee9bf82d7d77c0779a24a34b55864eff9224\n Stored in directory: /root/.cache/pip/wheels/e3/d0/80/e3773fb8b6d1cca87ea1d33d9b1f20a223a6493c896da249b5\n Building wheel for codeformer-pip (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n Created wheel for codeformer-pip: filename=codeformer_pip-0.0.4-py3-none-any.whl size=138056 sha256=2a53ecd3c6cd5e3049d168f97d1f48b15598461a2a33c554367fe7ebe8b02f4a\n Stored in directory: /root/.cache/pip/wheels/b6/b8/7d/8eb9272d03d3d7246eec9731b10614abf97ab43facea1c7f9c\n\u001b[33m DEPRECATION: Building 'basicsr' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'basicsr'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n\u001b[0m Building wheel for basicsr (setup.py) ... \u001b[?25l\u001b[?25hdone\n Created wheel for basicsr: filename=basicsr-1.4.2-py3-none-any.whl size=214908 sha256=557c15289fb8ebe621b29fb3ab7fa860bb1108c6847d8070a66df4d82fa835ce\n Stored in directory: /root/.cache/pip/wheels/38/83/99/2d8437cc652a01af27df5ff037a4075e95b52d67705c5f30ca\n\u001b[33m DEPRECATION: Building 'filterpy' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'filterpy'. Discussion can be found at https://github.com/pypa/pip/issues/6334\u001b[0m\u001b[33m\n\u001b[0m Building wheel for filterpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n Created wheel for filterpy: filename=filterpy-1.4.5-py3-none-any.whl size=110547 sha256=eee1858d3b68500131d76707058a0bdd9a6afc7d31e52dc98fef170238c6831b\n Stored in directory: /root/.cache/pip/wheels/0f/0c/ea/218f266af4ad626897562199fbbcba521b8497303200186102\nSuccessfully built insightface codeformer-pip basicsr filterpy\nInstalling collected packages: wcwidth, pytz, pydub, lmdb, lit, libclang, easydict, addict, wrapt, websockets, urllib3, tzdata, typing-extensions, tqdm, toolz, tomli, threadpoolctl, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, soupsieve, sniffio, six, semantic-version, rpds-py, regex, pyyaml, python-multipart, PySocks, pyparsing, pyasn1, psutil, protobuf, prettytable, platformdirs, pillow, orjson, opt-einsum, oauthlib, numpy, networkx, markupsafe, markdown, llvmlite, lazy-loader, kiwisolver, keras, joblib, importlib-resources, idna, hf-xet, h11, grpcio, gast, future, ftfy, fsspec, fonttools, filelock, ffmpy, exceptiongroup, cython, cycler, cmake, click, charset_normalizer, certifi, cachetools, attrs, aiofiles, absl-py, yapf, werkzeug, uvicorn, tifffile, scipy, rsa, requests, referencing, python-dateutil, pydantic, pyasn1-modules, opencv-python-headless, opencv-python, onnxruntime-gpu, onnx, numba, jinja2, imageio, httpcore, h5py, google-pasta, contourpy, beautifulsoup4, astunparse, anyio, tb-nightly, starlette, scikit-learn, scikit-image, requests-oauthlib, pandas, matplotlib, jsonschema-specifications, huggingface-hub, httpx, google-auth, qudida, notion-client, jsonschema, gradio-client, google-auth-oauthlib, gdown, filterpy, fastapi, tensorboard, altair, albumentations, tensorflow, insightface, gradio, opennsfw2, triton, torch, torchvision, lpips, facexlib, basicsr, gfpgan, codeformer-pip\n\u001b[2K Attempting uninstall: protobuf[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 32/131\u001b[0m [psutil]ng]d-data-server]\n\u001b[2K Found existing installation: protobuf 6.31.1━━━━━━━━━━━━━━\u001b[0m \u001b[32m 32/131\u001b[0m [psutil]\n\u001b[2K Uninstalling protobuf-6.31.1:━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 32/131\u001b[0m [psutil]\n\u001b[2K Successfully uninstalled protobuf-6.31.1━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 32/131\u001b[0m [psutil]\n\u001b[2K Attempting uninstall: numpy\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 38/131\u001b[0m [opt-einsum]\n\u001b[2K Found existing installation: numpy 2.2.6━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 38/131\u001b[0m [opt-einsum]\n\u001b[2K Uninstalling numpy-2.2.6:╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 40/131\u001b[0m [numpy]]\n\u001b[2K Successfully uninstalled numpy-2.2.6━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m 40/131\u001b[0m [numpy]\n\u001b[2K Attempting uninstall: onnxruntime-gpu91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m 84/131\u001b[0m [opencv-python]headless]\n\u001b[2K Found existing installation: onnxruntime-gpu 1.15.1━━━━━━━\u001b[0m \u001b[32m 84/131\u001b[0m [opencv-python]\n\u001b[2K Uninstalling onnxruntime-gpu-1.15.1:[0m\u001b[90m━━━━━━━━━━━━━━\u001b[0m \u001b[32m 84/131\u001b[0m [opencv-python]\n\u001b[2K Successfully uninstalled onnxruntime-gpu-1.15.1━━━━━━━━━\u001b[0m \u001b[32m 84/131\u001b[0m [opencv-python]\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m131/131\u001b[0m [codeformer-pip]r][facexlib]on]ns]]\n\u001b[1A\u001b[2KSuccessfully installed PySocks-1.7.1 absl-py-2.3.0 addict-2.4.0 aiofiles-23.2.1 albumentations-1.3.1 altair-5.3.0 anyio-3.7.1 astunparse-1.6.3 attrs-25.3.0 basicsr-1.4.2 beautifulsoup4-4.13.4 cachetools-5.5.2 certifi-2025.6.15 charset_normalizer-3.4.2 click-8.2.1 cmake-4.0.3 codeformer-pip-0.0.4 contourpy-1.3.2 cycler-0.12.1 cython-3.1.2 easydict-1.13 exceptiongroup-1.2.2 facexlib-0.3.0 fastapi-0.103.2 ffmpy-0.6.0 filelock-3.18.0 filterpy-1.4.5 fonttools-4.58.4 fsspec-2025.5.1 ftfy-6.3.1 future-1.0.0 gast-0.4.0 gdown-5.2.0 gfpgan-1.3.8 google-auth-2.40.3 google-auth-oauthlib-1.0.0 google-pasta-0.2.0 gradio-3.50.2 gradio-client-0.6.1 grpcio-1.73.0 h11-0.16.0 h5py-3.14.0 hf-xet-1.1.4 httpcore-1.0.9 httpx-0.28.1 huggingface-hub-0.33.0 idna-3.10 imageio-2.37.0 importlib-resources-6.5.2 insightface-0.7.3 jinja2-3.1.6 joblib-1.5.1 jsonschema-4.24.0 jsonschema-specifications-2025.4.1 keras-2.13.1 kiwisolver-1.4.8 lazy-loader-0.4 libclang-18.1.1 lit-18.1.8 llvmlite-0.44.0 lmdb-1.6.2 lpips-0.1.4 markdown-3.8.2 markupsafe-2.1.5 matplotlib-3.10.3 networkx-3.4.2 notion-client-2.4.0 numba-0.61.2 numpy-1.24.2 oauthlib-3.3.1 onnx-1.14.0 onnxruntime-gpu-1.15.0 opencv-python-4.7.0.72 opencv-python-headless-4.11.0.86 opennsfw2-0.10.2 opt-einsum-3.4.0 orjson-3.10.18 pandas-2.3.0 pillow-9.5.0 platformdirs-4.3.8 prettytable-3.16.0 protobuf-4.23.2 psutil-5.9.5 pyasn1-0.6.1 pyasn1-modules-0.4.2 pydantic-1.10.22 pydub-0.25.1 pyparsing-3.2.3 python-dateutil-2.9.0.post0 python-multipart-0.0.20 pytz-2025.2 pyyaml-6.0.2 qudida-0.0.4 referencing-0.36.2 regex-2024.11.6 requests-2.32.4 requests-oauthlib-2.0.0 rpds-py-0.25.1 rsa-4.9.1 scikit-image-0.24.0 scikit-learn-1.7.0 scipy-1.15.3 semantic-version-2.10.0 six-1.17.0 sniffio-1.3.1 soupsieve-2.7 starlette-0.27.0 tb-nightly-2.20.0a20250619 tensorboard-2.13.0 tensorboard-data-server-0.7.2 tensorflow-2.13.0 tensorflow-estimator-2.13.0 tensorflow-io-gcs-filesystem-0.37.1 termcolor-3.1.0 threadpoolctl-3.6.0 tifffile-2025.5.10 tomli-2.2.1 toolz-1.0.0 torch-2.0.1+cu118 torchvision-0.15.2+cu118 tqdm-4.65.0 triton-2.0.0 typing-extensions-4.5.0 tzdata-2025.2 urllib3-2.5.0 uvicorn-0.34.3 wcwidth-0.2.13 websockets-11.0.3 werkzeug-3.1.3 wrapt-1.17.2 yapf-0.43.0\n","output_type":"stream"}],"execution_count":2},{"cell_type":"code","source":"%env MPLBACKEND=agg\n#!/usr/local/envs/py310/bin/pip install gradio==5.32.0 # 2025/06/02 Python 3.10支持Gradio最新版5.32 \n!/usr/local/envs/py310/bin/python run.py","metadata":{"trusted":true,"scrolled":true,"execution":{"iopub.status.busy":"2025-06-20T02:56:50.959659Z","iopub.execute_input":"2025-06-20T02:56:50.960023Z"}},"outputs":[{"name":"stdout","text":"env: MPLBACKEND=agg\nDownloading https://huggingface.co/countfloyd/deepfake/resolve/main/inswapper_128.onnx: 529MB [00:02, 245MB/s]\nDownloading https://huggingface.co/countfloyd/deepfake/resolve/main/GFPGANv1.4.onnx: 325MB [00:01, 206MB/s]\nDownloading https://github.com/csxmli2016/DMDNet/releases/download/v1/DMDNet.pth: 576MB [00:02, 243MB/s]\nDownloading https://huggingface.co/countfloyd/deepfake/resolve/main/rd64-uni-refined.pth: 4.52MB [00:00, 13.3MB/s]\nDownloading https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth: 359MB [00:01, 224MB/s]\nDownloading https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/detection_Resnet50_Final.pth: 104MB [00:00, 154MB/s]\nDownloading https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/parsing_parsenet.pth: 81.4MB [00:00, 127MB/s]\nDownloading https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/RealESRGAN_x2plus.pth: 64.0MB [00:00, 102MB/s]\nUsing provider ['CUDAExecutionProvider'] - Device:cuda\n/usr/local/envs/py310/lib/python3.10/site-packages/gradio/components/dropdown.py:231: UserWarning: The value passed into gr.Dropdown() is not in the list of choices. Please update the list of choices to include: In-Memory or set allow_custom_value=True.\n warnings.warn(\nLets do it...\nRunning on local URL: http://127.0.0.1:7860\nIMPORTANT: You are using gradio version 3.50.2, however version 4.44.1 is available, please upgrade.\n--------\nRunning on public URL: https://e788899d3cc209dee0.gradio.live\n\nThis share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\nCan see me?\nFalse\nGot share url: https://e788899d3cc209dee0.gradio.live\n","output_type":"stream"}],"execution_count":null},{"cell_type":"code","source":"# 如果代码有更新，重新拉取一下！\n# %cd ..\n# !rm -rf smart-swap\n# !git clone https://github.com/Vander-Bilt/smart-swap.git\n# %cd smart-swap","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"!ls -l /kaggle/working/smart-swap/output","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#TODO: 1 upload to huggingface which dataset? token? \n#TODO: 2 many characters: Honghaier, wukong, batman, ironman, etc....\n#!tar -czvf - /kaggle/working/smart-swap/output/ | openssl des3 -salt -k Bilt#vandereight -out /kaggle/working/swap.tar.gz\n\n# !tar -czvf /kaggle/working/swap.tar.gz /kaggle/working/smart-swap/output\n\n# !huggingface-cli login --token ''\n# !huggingface-cli upload mmmgo/mydataset '/kaggle/working/swap.tar.gz' swap.tar.gz --repo-type dataset\n#openssl des3 -d -k xxxxxxxyxyzz -salt -in swap.tar.gz | tar xzf -","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#delete\n# !huggingface-cli repo-files mmmgo/mydataset delete swap.mp4 --repo-type dataset","metadata":{"trusted":true},"outputs":[],"execution_count":null}]} |