{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"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\n# You can write up to 5GB 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","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!git clone https://github.com/qiuqiangkong/audioset_tagging_cnn.git","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip download torchlibrosa","execution_count":null,"outputs":[]},{"metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","trusted":true},"cell_type":"code","source":"# !wget https://zenodo.org/record/3960586/files/Cnn10_mAP%3D0.380.pth \n!wget https://zenodo.org/record/3960586/files/Cnn14_DecisionLevelAtt_mAP%3D0.425.pth \n# !wget https://zenodo.org/record/3960586/files/Cnn14_DecisionLevelMax_mAP%3D0.385.pth \n!wget https://zenodo.org/record/3960586/files/CNN14_emb128_mAP%3D0.412.pth \n# !wget https://zenodo.org/record/3960586/files/Cnn14_emb32_mAP%3D0.364.pth \n!wget https://zenodo.org/record/3960586/files/Cnn14_emb512_mAP%3D0.420.pth \n!wget https://zenodo.org/record/3960586/files/Cnn14_mAP%3D0.431.pth \n# !wget https://zenodo.org/record/3960586/files/Cnn6_mAP%3D0.343.pth \n# !wget https://zenodo.org/record/3960586/files/DaiNet19_mAP%3D0.295.pth \n#!wget https://zenodo.org/record/3960586/files/LeeNet11_mAP%3D0.266.pth\n# !wget https://zenodo.org/record/3960586/files/LeeNet24_mAP%3D0.336.pth \n# !wget https://zenodo.org/record/3960586/files/MobileNetV1_mAP%3D0.389.pth \n# !wget https://zenodo.org/record/3960586/files/MobileNetV2_mAP%3D0.383.pth \n# !wget https://zenodo.org/record/3960586/files/Res1dNet31_mAP%3D0.365.pth \n# !wget https://zenodo.org/record/3960586/files/Res1dNet51_mAP%3D0.355.pth \n!wget https://zenodo.org/record/3960586/files/ResNet22_mAP%3D0.430.pth \n!wget https://zenodo.org/record/3960586/files/ResNet38_mAP%3D0.434.pth \n!wget https://zenodo.org/record/3960586/files/ResNet54_mAP%3D0.429.pth \n# !wget https://zenodo.org/record/3960586/files/Wavegram_Cnn14_mAP%3D0.389.pth \n!wget https://zenodo.org/record/3960586/files/Wavegram_Logmel_Cnn14_mAP%3D0.439.pth ","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!ls","execution_count":null,"outputs":[]}],"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":4,"nbformat_minor":4}