1、安装Anaconda3
下载地址 Anaconda 官网下载地址:https://www.continuum.io/downloads
下载以后,点击exe程序,开始安装,详细的安装过程(图片参考:https://blog.csdn.net/u012318074/article/details/77075209)
点击 Next
点击 I Agree
选择两个钟任意一个,如果是新手,个人建议选择第二个
选择安装目录,最好不要是中文路径
这两个都要选择,这样会把Python加入环境变量
等待安装完成
2、安装tensorflow
这里安装的是tensorflow CPU版本
安装过程:
打开开始菜单,选择
在命令行输入:
pip install tensorflow==1.6 (1.6为tensorflow版本,具体版本可自定义)
安装完成以后在命令行输入 python进入python命令行
然后输入: import tensorflow as tf 回车,如果不报错,说明tensorflow安装成功
注:如果想安装tensorflow GPU版本(GPU版本确实比CPU快,有条件的话推荐安装GPU版本),请先确认自己电脑上是否有GPU(打开驱动精灵或者鲁大师或者360驱动进行硬件检测,看显卡一栏,即可找到GPU),如果有,先安装cuda,然后下载对应版本的cudnn,再运行上面的命令可安装tensorflow-gpu版本
3、配置Mask_RCNN
①下载Mask_RCNN:项目源代码地址:https://github.com/matterport/Mask_RCNN
②在COCO数据集上预训练权重(mask_rcnn_coco.h5),
下载地址:https://github.com/matterport/Mask_RCNN/releases
下载完成以后放置在Mask_RCNN目录下即可
③安装pycocotools
下载COCO:
下载地址:https://github.com/philferriere/cocoapi
下载完成以后在前面打开的Anaconda命令窗口中用cd命令切换到cocoapi下的PythonAPI目录
然后在命令行输入 python setup.py build_ext --inplace (注:在此之前确保你的电脑上已经安装了Visual Studio2015,如果Visual Studio没有C++模块,需要打开Visual Studio2015,并安装C++模块,具体安装过程可搜索相关的参考文档)
安装完成标志:
-------------------------------------------------
(E:Anaconda3install1) E:TensorflowcocoapiPythonAPI>python setup.py build_ext --inplace
running build_ext
building 'pycocotools._mask' extension
E:Visual Studio 2015installVCBINx86_amd64cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IE:Anaconda3install1libsite-packages
umpycoreinclude -I../common -IE:Anaconda3install1include -IE:Anaconda3install1include "-IE:Visual Studio 2015installVCINCLUDE" "-IE:Visual Studio 2015installVCATLMFCINCLUDE" "-IC:Program Files (x86)Windows Kits10include10.0.10240.0ucrt" "-IC:Program Files (x86)Windows KitsNETFXSDK4.6.1includeum" "-IC:Program Files (x86)Windows Kits8.1include\shared" "-IC:Program Files (x86)Windows Kits8.1include\um" "-IC:Program Files (x86)Windows Kits8.1include\winrt" /Tcpycocotools/_mask.c /Fobuild emp.win-amd64-3.6Releasepycocotools/_mask.obj
_mask.c
e:anaconda3install1libsite-packages
umpycoreinclude
umpy
py_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(3070): warning C4244: “=”: 从“Py_ssize_t”转换到“siz”,可能丢失数据
pycocotools/_mask.c(3505): warning C4244: “函数”: 从“npy_intp”转换到“siz”,可能丢失数据
pycocotools/_mask.c(6935): warning C4244: “=”: 从“npy_intp”转换到“siz”,可能丢失数据
pycocotools/_mask.c(7742): warning C4244: “=”: 从“Py_ssize_t”转换到“siz”,可能丢失数据
pycocotools/_mask.c(15343): warning C4244: “初始化”: 从“double”转换到“float”,可能丢失数据
pycocotools/_mask.c(15349): warning C4244: “初始化”: 从“double”转换到“float”,可能丢失数据
E:Visual Studio 2015installVCBINx86_amd64cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IE:Anaconda3install1libsite-packages
umpycoreinclude -I../common -IE:Anaconda3install1include -IE:Anaconda3install1include "-IE:Visual Studio 2015installVCINCLUDE" "-IE:Visual Studio 2015installVCATLMFCINCLUDE" "-IC:Program Files (x86)Windows Kits10include10.0.10240.0ucrt" "-IC:Program Files (x86)Windows KitsNETFXSDK4.6.1includeum" "-IC:Program Files (x86)Windows Kits8.1include\shared" "-IC:Program Files (x86)Windows Kits8.1include\um" "-IC:Program Files (x86)Windows Kits8.1include\winrt" /Tc../common/maskApi.c /Fobuild emp.win-amd64-3.6Release../common/maskApi.obj
maskApi.c
E:Visual Studio 2015installVCBINx86_amd64link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:E:Anaconda3install1libs /LIBPATH:E:Anaconda3install1PCbuildamd64 "/LIBPATH:E:Visual Studio 2015installVCLIBamd64" "/LIBPATH:E:Visual Studio 2015installVCATLMFCLIBamd64" "/LIBPATH:C:Program Files (x86)Windows Kits10lib10.0.10240.0ucrtx64" "/LIBPATH:C:Program Files (x86)Windows KitsNETFXSDK4.6.1libumx64" "/LIBPATH:C:Program Files (x86)Windows Kits8.1libwinv6.3umx64" /EXPORT:PyInit__mask build emp.win-amd64-3.6Releasepycocotools/_mask.obj build emp.win-amd64-3.6Release../common/maskApi.obj /OUT:E:TensorflowcocoapiPythonAPIpycocotools\_mask.cp36-win_amd64.pyd /IMPLIB:build emp.win-amd64-3.6Releasepycocotools\_mask.cp36-win_amd64.lib
_mask.obj : warning LNK4197: 多次指定导出“PyInit__mask”;使用第一个规范
正在创建库 build emp.win-amd64-3.6Releasepycocotools\_mask.cp36-win_amd64.lib 和对象 build emp.win-amd64-3.6Releasepycocotools\_mask.cp36-win_amd64.exp
正在生成代码
已完成代码的生成
------------------------------------------------
然后在命令行输入:python setup.py build_ext install
-------------------------------------------------
(E:Anaconda3install1) E:TensorflowcocoapiPythonAPI>python setup.py build_ext install
running build_ext
building 'pycocotools._mask' extension
E:Visual Studio 2015installVCBINx86_amd64cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IC:UsersluoAppDataRoamingPythonPython36site-packages
umpycoreinclude -I../common -IE:Anaconda3install1include -IE:Anaconda3install1include "-IE:Visual Studio 2015installVCINCLUDE" "-IE:Visual Studio 2015installVCATLMFCINCLUDE" "-IC:Program Files (x86)Windows Kits10include10.0.10240.0ucrt" "-IC:Program Files (x86)Windows KitsNETFXSDK4.6.1includeum" "-IC:Program Files (x86)Windows Kits8.1include\shared" "-IC:Program Files (x86)Windows Kits8.1include\um" "-IC:Program Files (x86)Windows Kits8.1include\winrt" /Tcpycocotools/_mask.c /Fobuild emp.win-amd64-3.6Releasepycocotools/_mask.obj
_mask.c
c:usersluoappdata
oamingpythonpython36site-packages
umpycoreinclude
umpy
py_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(3070): warning C4244: “=”: 从“Py_ssize_t”转换到“siz”,可能丢失数据
pycocotools/_mask.c(3505): warning C4244: “函数”: 从“npy_intp”转换到“siz”,可能丢失数据
pycocotools/_mask.c(6935): warning C4244: “=”: 从“npy_intp”转换到“siz”,可能丢失数据
pycocotools/_mask.c(7742): warning C4244: “=”: 从“Py_ssize_t”转换到“siz”,可能丢失数据
pycocotools/_mask.c(15343): warning C4244: “初始化”: 从“double”转换到“float”,可能丢失数据
pycocotools/_mask.c(15349): warning C4244: “初始化”: 从“double”转换到“float”,可能丢失数据
E:Visual Studio 2015installVCBINx86_amd64cl.exe /c /nologo /Ox /W3 /GL /DNDEBUG /MD -IC:UsersluoAppDataRoamingPythonPython36site-packages
umpycoreinclude -I../common -IE:Anaconda3install1include -IE:Anaconda3install1include "-IE:Visual Studio 2015installVCINCLUDE" "-IE:Visual Studio 2015installVCATLMFCINCLUDE" "-IC:Program Files (x86)Windows Kits10include10.0.10240.0ucrt" "-IC:Program Files (x86)Windows KitsNETFXSDK4.6.1includeum" "-IC:Program Files (x86)Windows Kits8.1include\shared" "-IC:Program Files (x86)Windows Kits8.1include\um" "-IC:Program Files (x86)Windows Kits8.1include\winrt" /Tc../common/maskApi.c /Fobuild emp.win-amd64-3.6Release../common/maskApi.obj
maskApi.c
E:Visual Studio 2015installVCBINx86_amd64link.exe /nologo /INCREMENTAL:NO /LTCG /DLL /MANIFEST:EMBED,ID=2 /MANIFESTUAC:NO /LIBPATH:E:Anaconda3install1libs /LIBPATH:E:Anaconda3install1PCbuildamd64 "/LIBPATH:E:Visual Studio 2015installVCLIBamd64" "/LIBPATH:E:Visual Studio 2015installVCATLMFCLIBamd64" "/LIBPATH:C:Program Files (x86)Windows Kits10lib10.0.10240.0ucrtx64" "/LIBPATH:C:Program Files (x86)Windows KitsNETFXSDK4.6.1libumx64" "/LIBPATH:C:Program Files (x86)Windows Kits8.1libwinv6.3umx64" /EXPORT:PyInit__mask build emp.win-amd64-3.6Releasepycocotools/_mask.obj build emp.win-amd64-3.6Release../common/maskApi.obj /OUT:buildlib.win-amd64-3.6pycocotools\_mask.cp36-win_amd64.pyd /IMPLIB:build emp.win-amd64-3.6Releasepycocotools\_mask.cp36-win_amd64.lib
_mask.obj : warning LNK4197: 多次指定导出“PyInit__mask”;使用第一个规范
正在创建库 build emp.win-amd64-3.6Releasepycocotools\_mask.cp36-win_amd64.lib 和对象 build emp.win-amd64-3.6Releasepycocotools\_mask.cp36-win_amd64.exp
正在生成代码
已完成代码的生成
running install
running build
running build_py
running install_lib
copying buildlib.win-amd64-3.6pycocotools\_mask.cp36-win_amd64.pyd -> E:Anaconda3install1Libsite-packagespycocotools
running install_egg_info
Writing E:Anaconda3install1Libsite-packagespycocotools-2.0-py3.6.egg-info
-------------------------------------------------
安装编译完成
④在命令行切换到Mask_RCNN目录下的 samples目录
然后你命令行输入:jupyter notebook
也可以直接在开始菜单打开Jupyter Notebook,
⑤然后会发现该衬托关系打开了默认浏览器,并且打开新的页面,内容如下:
⑥然后点击 demo.ipynb,进入新页面
这是发现改程序有默认的一次运行结果,但这不影响我们后面的操作,
⑦在顶部菜单栏中选择 Cell —> Run All
⑧注意查看下面有没有报错,如果没有报错,等待运行结果,一般报错位置在此处,可能会提示你更新numpty,此时只需要 pip install numpty,numpty会自动更新到新版本
⑨运行成功以后会出现类似第六步的效果图
⑩如果想运行自己的图片,只要打开 Mask_RCNN目录下的images目录,看到里面就有刚才运行的效果原图,可以把这些图片全部删掉,把自己的图片拷贝进去,不用修改图片名称,因为Mask_RCNN程序会自动遍历该目录下的图片,然后随机选取一张图片运行。