| | |
| | | |
| | | 5. If you want to build with CUDNN to speed up then: |
| | | |
| | | * download and install CUDNN: https://developer.nvidia.com/cudnn |
| | | * download and install **cuDNN 5.1 for CUDA 8.0**: https://developer.nvidia.com/cudnn |
| | | |
| | | * add Windows system variable `cudnn` with path to CUDNN: https://hsto.org/files/a49/3dc/fc4/a493dcfc4bd34a1295fd15e0e2e01f26.jpg |
| | | |
| | |
| | | `..\..\3rdparty\lib\x64\pthreadVC2.lib;cublas.lib;curand.lib;cudart.lib;cudnn.lib;%(AdditionalDependencies)` |
| | | - (right click on project) -> properties -> C/C++ -> Preprocessor -> Preprocessor Definitions |
| | | |
| | | `OPENCV;_TIMESPEC_DEFINED;_CRT_SECURE_NO_WARNINGS;GPU;WIN32;NDEBUG;_CONSOLE;_LIB;%(PreprocessorDefinitions)` |
| | | |
| | | - open file: `\src\yolo.c` and change 3 lines to your OpenCV-version - `249` (for 2.4.9), `2413` (for 2.4.13), ... : |
| | | |
| | | * `#pragma comment(lib, "opencv_core249.lib")` |
| | | * `#pragma comment(lib, "opencv_imgproc249.lib")` |
| | | * `#pragma comment(lib, "opencv_highgui249.lib")` |
| | | |
| | | `OPENCV;_TIMESPEC_DEFINED;_CRT_SECURE_NO_WARNINGS;GPU;WIN32;NDEBUG;_CONSOLE;_LIB;%(PreprocessorDefinitions)` |
| | | - compile to .exe (X64 & Release) and put .dll-s near with .exe: |
| | | |
| | | `pthreadVC2.dll, pthreadGC2.dll` from \3rdparty\dll\x64 |