Install yolov3 win10 cuda8.0 vs2017

Reference https://blog.csdn.net/dz4543/article/details/85255267

https://blog.csdn.net/sinat_35907936/article/details/82017127

Time: 2019.6.5

surroundings

windows10

 cuda8.0 cudnn5.1 (cuda9.0 and above are not compatible with vs2017)

vs2017 (actually using the vs2015 version compiler V140 in vs2017)

opencv3.3 (cannot exceed 3.4)

These are prepared in advance

One. download

1. Download yolov3 from github

git clone https://github.com/AlexeyAB/darknet.git

My installation location D: \ software_engineer \ darknet

2. yolo_v3 weights:     https://pjreddie.com/media/files/yolov3.weights (this will be used later)

two. Compile yolov3 in vs

1. Go to the D: \ software_engineer \ darknet \ darknet \ build \ darknet folder, open darknet.vcxproj, and replace CUDA 10.0 "with CUDA 8.0 (8.0 is my cuda version, just replace it with your own), (some People are not CUDA 10.0, but CUDA9.1, and they are also replaced with their own version numbers)

If your vs version is vs2013, change 14.0 to 12.0 and V140 to V120 in the picture below

Save and exit

2. Then use vs2017 to open darknet.sln, do not upgrade

Change the project to Release x64. Then you need to redirect the project: right-click project-> redirect project

If it is VS2017, you need to modify the tool set (see 1.1 for downloading the tool set process), modify as follows: right-click project-> properties

If you did not choose this tool when installing vs2017, it does not matter, exit VS2017. Open Visual Studio Installer in the menu .

Check vc ++ 2015 (V140)

3. Configure opencv in the property sheet

4. Copy CUDA 8.0.props and other files

CUDA 8.0.props and other files are in the cuda installation directory. The default path of cuda is: C: \ Program Files \ NVIDIA GPU Computing Toolkit \ CUDA \ v8.0 \ extras \ visual_studio_integration \ MSBuildExtensions,

Copy these four files to C: \ Program Files (x86) \ MSBuild \ Microsoft.Cpp \ v4.0 \ v140 \ BuildCustomizations, this is the path after vs2017 is installed, otherwise the following error may be reported:

5. Open the darknet.h header file to see if there is a red wavy line in it. If you don't, you don't need to do this step

1. My include <pthread.h> error, can not find the header file, solution: right-click the project-"Manage NuGet package, search for pthread, then install

2. My include <cudnn.h> is also wrong, the solution is (provided that cudnn is installed correctly):

Include a directory and library directory in the property, the path is inside the cuda installation directory

Then the connector-"input, add cudnn.lib in additional dependencies

6. Build the project. After the build is successful, there are more darknet.exe and other files in the project directory × 64.

Then put the previously downloaded yolo_v3 weights file in the same folder as darknet.exe

three. test

Then find the path of darknet-master \ build \ darknet \ x64 \ darknet.exe on cmd D: \> cd D: \ darknet \ build \ darknet \ x64 mine is this. Then enter darknet.exe detector test data / coco.data yolov3.cfg yolov3.weights -i 0 -thresh 0.25 dog.jpg

success! ! ! ! ! ! !

 

Note: The following error may be encountered when compiling darknet

 错误    MSB3721    The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin\nvcc.exe" -gencode=arch=compute_30,code=\"sm_30,compute_30\" -gencode=arch=compute_75,code=\"sm_75,compute_75\" --use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 14.0\VC\bin\x86_amd64" -x cu  -I\include -IC:\opencv_3.0\opencv\build\include -I..\..\include -I..\..\3rdparty\stb\include -I..\..\3rdparty\pthreads\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include" -I\include -I\include -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\include"     --keep-dir x64\Release -maxrregcount=0  --machine 64 --compile -cudart static     -DOPENCV -DCUDNN_HALF -DCUDNN -D_TIMESPEC_DEFINED -D_SCL_SECURE_NO_WARNINGS -D_CRT_SECURE_NO_WARNINGS -D_CRT_RAND_S -DGPU -DWIN32 -DNDEBUG -D_CONSOLE -D_LIB -D_MBCS -Xcompiler "/EHsc /W3 /nologo /O2 /Fdx64\Release\vc140.pdb /FS /Zi  /MD " -o x64\Release\activation_kernels.cu.obj "G:\daek\darknet-master\src\activation_kernels.cu"" exited with code 1.    darknet    C:\Program Files (x86)\MSBuild\Microsoft.Cpp\v4.0\V140\BuildCustomizations\CUDA 8.0.targets    712  

  This problem can be solved by deleting the two items shown in the figure below.

Or modify it in the darknet.vcxproj file