机器学习备注：Windows上运行Mask_RCNN模型
准备工作
这些模型在Linux上运行比较方便，不过想起Windows便捷的各种工具，总是忍不住弄过来，
原模型的地址在这，
https://github.com/matterport/Mask_RCNN
当然github上还有很多其他版本的，tensorflow, pytorch是主流，大家可自行搜索，安装使用过程大同小异。下面的是一个tensorflow的版本。
注意：windows下的pycocotools版本和Linux不同
需要用到的工具pycocotools在这
不过要注意，这个pycocotools工具有Linux版和windows版本的，不要弄错了，官网链接给出的都是Linux版本的
windows版本（ Windows下用这个 :-o ）
https://github.com/philferriere/cocoapi
linux版本，
https://github.com/waleedka/coco
前提：已经安装好anaconda, 搭建好tensorflow开发环境
提示：
conda create -n tensorflow python=3.6
activate tensorflow
pip3 install (numpy, skimage, scipy, pillow, cython, etc......)
运行时中途碰到一个错误：
ImportError: No module named cv2
原因就是因为没有安装opencv-python，此时在tensorflow环境安装即可
(tensorflow) (tensorflow) E:\AtensorflowDev>pip3 install opencv-python
操作步骤如下
step1 clone the Mask_RCNN repository
git clone https://github.com/matterport/Mask_RCNN.git
此时会在你的目录下生成一个Mask_RCNN的文件夹，这个就是你项目的ROOT_DIR，后面要用到
我的目录是：E:\AtensorflowDev\Mask_RCNN
该目录下有一个requirements.txt文件，此时还需要运行一下
pip3 install -r requirements.txt
以确保所需要的包都安装好
step2 下载已经训练好的COCO weights (mask_rcnn_coco.h5)
官网（https://github.com/matterport/Mask_RCNN/releases）给出的地址是
https://github.com/matterport/Mask_RCNN/releases/download/v2.1/mask_rcnn_balloon.h5
因为（）的原因，下载起来好慢，我下载了10多次，差不多花了一天，如果你运气和我一样差，那就用这个包吧
链接：https://pan.baidu.com/s/12A0E6h-mP4zl9oqoTvj6Ig 密码：4eks
step3 把 mask_rcnn_coco.h5 放置到Mask_RCNN这个目录下面
E:\AtensorflowDev\Mask_RCNN\mask_rcnn_coco.h5
step4 安装coco工具
$ pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI
我的输出界面是这样的
1.（执行命令）
(tensorflow) E:\AtensorflowDev>pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI
(然后回车)
2.（下面是运行后输出的结果，表示安装成功）
Collecting git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI
Cloning https://github.com/philferriere/cocoapi.git to c:\users\admini~1\appdata\local\temp\pip-req-build-a4gugnlj
Building wheels for collected packages: pycocotools
Running setup.py bdist_wheel for pycocotools ... done
Stored in directory: C:\Users\ADMINI~1\AppData\Local\Temp\pip-ephem-wheel-cache-35xkjtfa\wheels\69\2b\12\2fa959e49f73d26cff202c2f4e5079096c9c57c8a8509fd75c
Successfully built pycocotools
Installing collected packages: pycocotools
Successfully installed pycocotools-2.0如果你在安装pycocotools这一步碰到困难，请参考后面的pycocotools安装说明。
step5 启动anaconda中的tensor开发环境，选择jupyter notebook，然后在jupyter中upload这个demo,
E:\AtensorflowDev\MaskRCNN\samples\demo.ipynb
最后给出一张本人运行的结果全图，注意包括了一些调试信息，有点啰嗦，还有那个ROOT_DIR路径，因为老是提示ModuleNotFoundError，我干脆写成绝对路径，另外说一下的是，我没有GPU，程序中的那个GPU_COUNT=1仅仅是用来计算每个批次图片的张数（这里就一张）和真实的GPU数量无关
pycocotools安装说明
有的人可能会发现在线安装 比较费时间，有时我也是，一连试了好几次，安装不成功，不知道什么问题，止在这里，
(torch) E:\>pip install git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI Collecting git+https://github.com/philferriere/cocoapi.git#subdirectory=PythonAPI Cloning https://github.com/philferriere/cocoapi.git to c:\users\admini~1\appdata\local\temp\pip-req-build-mff3lz_x ... 于是我的做法就是直接把包下载下来，本地编译安装，主要步骤就是切换到PythonAPI目录， 然后运行安装指令： python setup.py install 编译运行之前请检查已经安装了VS2017工具（https://github.com/philferriere/cocoapi 上有说明）和cython。 全部运行过程及内容如下，其中包括VS2017community工具使用的详细信息。(torch) E:\>cd E:\AMaskRCNN\pf-cocoapi-master\PythonAPI (torch) E:\AMaskRCNN\pf-cocoapi-master\PythonAPI>dir 驱动器 E 中的卷是 文档 卷的序列号是 84xx-xxxx E:\AMaskRCNN\pf-cocoapi-master\PythonAPI 的目录 2018/10/24 周三 下午 04:00. 2018/10/24 周三 下午 04:00 .. 2018/10/24 周三 下午 04:00 demos 2018/10/24 周三 下午 04:00 199 Makefile 2018/10/24 周三 下午 04:00 pycocotools 2018/10/24 周三 下午 04:00 910 setup.py 2 个文件 1,109 字节 4 个目录 213,706,694,656 可用字节 (torch) E:\AMaskRCNN\pf-cocoapi-master\PythonAPI>python setup.py install Compiling pycocotools/_mask.pyx because it changed. [1/1] Cythonizing pycocotools/_mask.pyx d:\Anaconda3\envs\torch\lib\site-packages\Cython\Compiler\Main.py:367: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: E:\AMaskRCNN\pf-cocoapi-master\PythonAPI\pycocotools\_mask.pyx tree = Parsing.p_module(s, pxd, full_module_name) running install running build running build_py creating build creating build\lib.win-amd64-3.7 creating build\lib.win-amd64-3.7\pycocotools copying pycocotools\coco.py -> build\lib.win-amd64-3.7\pycocotools copying pycocotools\cocoeval.py -> build\lib.win-amd64-3.7\pycocotools copying pycocotools\mask.py -> build\lib.win-amd64-3.7\pycocotools copying pycocotools\__init__.py -> build\lib.win-amd64-3.7\pycocotools running build_ext building 'pycocotools._mask' extension creating build\temp.win-amd64-3.7 creating build\temp.win-amd64-3.7\Release creating build\temp.win-amd64-3.7\Release\pycocotools creating build\temp.win-amd64-3.7\common C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -Id:\Anaconda3\envs\torch\lib\site-packages\numpy\core\include -I../common -Id:\Anaconda3\envs\torch\include -Id:\Anaconda3\envs\torch\include "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\include" "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\include" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt" /Tcpycocotools/_mask.c /Fobuild\temp.win-amd64-3.7\Release\pycocotools/_mask.obj _mask.c d:\anaconda3\envs\torch\lib\site-packages\numpy\core\include\numpy\npy_1_7_deprecated_api.h(12) : Warning Msg: Using deprecated NumPy API, disable it by #defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION pycocotools/_mask.c(3271): warning C4244: “=”: 从“Py_ssize_t”转换到“siz”，可能丢失数据 pycocotools/_mask.c(3675): warning C4244: “函数”: 从“npy_intp”转换到“siz”，可能丢失数据 pycocotools/_mask.c(6637): warning C4244: “=”: 从“npy_intp”转换到“siz”，可能丢失数据 pycocotools/_mask.c(7383): warning C4244: “=”: 从“Py_ssize_t”转换到“siz”，可能丢失数据 C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -Id:\Anaconda3\envs\torch\lib\site-packages\numpy\core\include -I../common -Id:\Anaconda3\envs\torch\include -Id:\Anaconda3\envs\torch\include "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\include" "-IC:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\include" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\ucrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\shared" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\um" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\winrt" "-IC:\Program Files (x86)\Windows Kits\10\include\10.0.17763.0\cppwinrt" /Tc../common/maskApi.c /Fobuild\temp.win-amd64-3.7\Release\../common/maskApi.obj maskApi.c C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\bin\HostX86\x64\link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:d:\Anaconda3\envs\torch\libs /LIBPATH:d:\Anaconda3\envs\torch\PCbuild\amd64 "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\ATLMFC\lib\x64" "/LIBPATH:C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.16.27023\lib\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\ucrt\x64" "/LIBPATH:C:\Program Files (x86)\Windows Kits\10\lib\10.0.17763.0\um\x64" /EXPORT:PyInit__mask build\temp.win-amd64-3.7\Release\pycocotools/_mask.obj build\temp.win-amd64-3.7\Release\../common/maskApi.obj /OUT:build\lib.win-amd64-3.7\pycocotools\_mask.cp37-win_amd64.pyd /IMPLIB:build\temp.win-amd64-3.7\Release\pycocotools\_mask.cp37-win_amd64.lib 正在创建库 build\temp.win-amd64-3.7\Release\pycocotools\_mask.cp37-win_amd64.lib 和对象 build\temp.win-amd64-3.7\Release\pycocotools\_mask.cp37-win_amd64.exp 正在生成代码 已完成代码的生成 running install_lib creating d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools copying build\lib.win-amd64-3.7\pycocotools\coco.py -> d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools copying build\lib.win-amd64-3.7\pycocotools\cocoeval.py -> d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools copying build\lib.win-amd64-3.7\pycocotools\mask.py -> d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools copying build\lib.win-amd64-3.7\pycocotools\_mask.cp37-win_amd64.pyd -> d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools copying build\lib.win-amd64-3.7\pycocotools\__init__.py -> d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools byte-compiling d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools\coco.py to coco.cpython-37.pyc byte-compiling d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools\cocoeval.py to cocoeval.cpython-37.pyc byte-compiling d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools\mask.py to mask.cpython-37.pyc byte-compiling d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools\__init__.py to __init__.cpython-37.pyc running install_egg_info Writing d:\Anaconda3\envs\torch\Lib\site-packages\pycocotools-2.0-py3.7.egg-info (torch) E:\AMaskRCNN\pf-cocoapi-master\PythonAPI>
参考资料
Object Detection and Segmentation in Python with Mask-RCNN
http://bradsliz.com/2017-11-06-object-segmentation/
https://github.com/philferriere/cocoapi
https://github.com/matterport/Mask_RCNN
https://github.com/waleedka/coco
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