作者原文链接：

https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/INSTALL.md

1.创建虚拟环境 

conda create --name maskrcnn

2.进入虚拟环境

conda activate maskrcnn

接下来我就换成pychram来写了

3.安装ipython

conda install ipython

4.安装opencv等

pip install ninja yacs cython matplotlib tqdm opencv-python

 

5.装pytorch

conda install -c pytorch pytorch-nightly torchvision cudatoolkit=10.2  -c pytorch

 

在这里查找自己的版本

https://pytorch.org/

在这之前安装一下git 

conda install git

 

这里提醒一点 安装pytorch的时候一定要确认一下是否是安装上去了 

6.安装 pycocotools

git clone https://github.com/cocodataset/cocoapi.git

    #To prevent installation error do the following after commiting cocooapi :
    #using file explorer  naviagate to cocoapi\PythonAPI\setup.py and change line 14 from:
    #extra_compile_args=['-Wno-cpp', '-Wno-unused-function', '-std=c99'],
    #to
    #extra_compile_args={'gcc': ['/Qstd=c99']},
    #Based on  https://github.com/cocodataset/cocoapi/issues/51

cd cocoapi/PythonAPI
python setup.py build_ext install

7.安装apex

# navigate back to INSTALL_DIR
cd ..
cd ..
# install apex

git clone https://github.com/NVIDIA/apex.git
cd apex
python setup.py install --cuda_ext --cpp_ext

发现安装的时候不行 只有降级版本的 降级为10.1版本 

然后注释掉apex里面171行

应该是可以了

 

8.安装maskrcnn-benchmark

git clone https://github.com/Idolized22/maskrcnn-benchmark.git
cd maskrcnn-benchmark

# the following will install the lib with
# symbolic links, so that you can modify
# the files if you want and won't need to
# re-build it
python setup.py build develop

最后一步出问题 先放弃一下没时间了之后再来做吧