pytorch_resnet18和resnet50官方预训练模型 pytroch官网提供的预训练模型:resnet18:resnet18-5c106cde.pth和resnet50:resnet50-19c8e357.pth(两个文件打包在一起)
opencv_python_3.3.1加contrib_cp35_cp35m_win_amd64.whl及manylinux1_x86_64.whl python3.5版本支持的opencvlinux+window.whl文件
tensorflow_1.4.0_cp35_cp35m_win_amd64.whl tensorflow-1.4.0-cp35-cp35m-win_amd64.whl:windows,python3.5的tensorflow1.4版本
tensorflow_1.8.0_cp35_cp35m_win_amd64.whl tensorflow-1.8.0-cp35-cp35m-win_amd64:python3.5,win10的tensorflow1.8安装包(cpu版)
resnet18_5c106cde.pth和resnet101_5d3b4d8f.pth pytroch官网提供的预训练模型:resnet18:resnet18-5c106cde.pth和resnet:resnet101-5d3b4d8f.pth(两个文件打包在一起)