配置命令: 2.1 添加清华anaconda镜像: 2.1 Conda 附加库: pytorch conda-forge msys2 bioconda menpo 1. bioconda conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/ menpo conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/ 版权声明:本文内容由互联网用户自发贡献
bioconda $ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/ ## menpo $ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/ ## pytorch
4.5 2.创建一个新的基于python3.5 mayavi=4.5的环境 2.创建一个新的基于python3.5 mayavi=4.5的环境 conda create -n python3.5 -c menpo mayavi=4.5(如果在默认源有存在不能满足依赖关系的包那么指定从channell来获取) 下载时候可指定国内的镜像源,其中vtk等依赖库可能从 menpo channel 下载;网速不好时候可能导致下载失败
anaconda/cloud/bioconda/ conda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo mirrors.tuna.tsinghua.edu.cn/anaconda/cloud bioconda: http://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud menpo
在Menpo数据集上的半正面人脸检测结果示例: ? 在Menpo数据集上的侧脸检测结果示例: ? 使用不同的主干网在300W数据集上的精度结果: ?
$conda install opencv-python这样是不行的, 会找不到包,正确的应该是$conda install --channel https://conda.anaconda.org/menpo
安装opencv-python conda install --channel https://conda.anaconda.org/menpo opencv3 或者安装Anaconda里的 conda install -c menpo opencv3 或3.4.1 conda install -c conda-forge opencv 5.
bioconda # pro conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/pro # menpo conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo # pytorch conda
对于 Menpo Benchmark 只需要分为 left profile and right profile 使用 Algorithm 2 ? Menpo Benchmark ?
mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo mirrors.tuna.tsinghua.edu.cn/anaconda/cloud bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud menpo
https://mirrors.bfsu.edu.cn/anaconda/cloud bioconda: https://mirrors.bfsu.edu.cn/anaconda/cloud menpo anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/soumith bioconda: https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/bioconda menpo : https://anaconda.mirrors.sjtug.sjtu.edu.cn/cloud/menpo viscid-hub: https://anaconda.mirrors.sjtug.sjtu.edu.cn
https://mirrors.bfsu.edu.cn/anaconda/cloud/pytorch/ - https://mirrors.bfsu.edu.cn/anaconda/cloud/menpo - https://mirrors.bfsu.edu.cn/anaconda/pkgs/free/ - https://mirrors.ustc.edu.cn/anaconda/cloud/menpo mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/peterjc123/ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo
bioconda conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/ menpo conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/ pytorch conda
代码中使用到import cv2 , 但anaconda默认的安装包中没有包含opencv 安装命令: conda install --channel https://conda.anaconda.org/menpo
anaconda环境中的tensorflow虚拟环境,并在tensorflow环境中输入如下命令:conda install --channel https://conda.anaconda.org/menpo
mirrors.ustc.edu.cn/anaconda/cloud/bioconda/ conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/menpo
mirrors.tuna.tsinghua.edu.cn/anaconda/cloud bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud menpo mirrors.tuna.tsinghua.edu.cn/anaconda/cloud bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud menpo
https://mirrors.bfsu.edu.cn/anaconda/cloud bioconda: https://mirrors.bfsu.edu.cn/anaconda/cloud menpo mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo
mirrors.ustc.edu.cn/anaconda/cloud/bioconda/ conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/menpo
https://mirrors.bfsu.edu.cn/anaconda/cloud bioconda: https://mirrors.bfsu.edu.cn/anaconda/cloud menpo