{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\n# for dirname, _, filenames in os.walk('/kaggle/input'):\n#     for filename in filenames:\n#         print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-01-11T12:23:01.593851Z","iopub.execute_input":"2023-01-11T12:23:01.594325Z","iopub.status.idle":"2023-01-11T12:23:01.618497Z","shell.execute_reply.started":"2023-01-11T12:23:01.594245Z","shell.execute_reply":"2023-01-11T12:23:01.617692Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!pip install /kaggle/input/pytorch112-cu113/{torch-1.12.1+cu113-cp37-cp37m-linux_x86_64.whl,torchvision-0.13.1+cu113-cp37-cp37m-linux_x86_64.whl}","metadata":{},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!pip wheel mmcv==2.0.0rc3 mmengine==0.3.2 mmdet==3.0.0rc4 mmcls==1.0.0rc3 -w /kaggle/working --no-cache","metadata":{"execution":{"iopub.status.busy":"2023-01-11T12:23:01.621496Z","iopub.execute_input":"2023-01-11T12:23:01.621753Z","iopub.status.idle":"2023-01-11T12:46:29.177629Z","shell.execute_reply.started":"2023-01-11T12:23:01.621729Z","shell.execute_reply":"2023-01-11T12:46:29.176441Z"},"trusted":true},"execution_count":null,"outputs":[]}]}