AlexeyAB
2017-04-07 113a8cd372bdcb7ef3858cb2bca1c048240aa377
README.md
@@ -112,7 +112,7 @@
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
      
@@ -136,19 +136,21 @@
`..\..\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
`cusolver64_80.dll, curand64_80.dll, cudart64_80.dll, cublas64_80.dll` - 80 for CUDA 8.0 or your version, from C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\bin
`opencv_core249.dll`, `opencv_highgui249.dll` and `opencv_ffmpeg249_64.dll` in `C:\opencv_2.4.9\opencv\build\x64\vc12\bin` or `vc14\bin`
## How to train (Pascal VOC Data):
@@ -327,3 +329,19 @@
    * after launching your console application and entering the image file name - you will see info for each object: 
    `<obj_id> <left_x> <top_y> <width> <height> <probability>`
    * to use simple OpenCV-GUI you should uncomment line `//#define OPENCV` in `yolo_console_dll.cpp`-file: [link](https://github.com/AlexeyAB/darknet/blob/a6cbaeecde40f91ddc3ea09aa26a03ab5bbf8ba8/src/yolo_console_dll.cpp#L5)
`yolo_cpp_dll.dll`-API: [link](https://github.com/AlexeyAB/darknet/blob/master/src/yolo_v2_class.hpp#L31)
```
class Detector {
public:
   Detector(std::string cfg_filename, std::string weight_filename, int gpu_id = 0);
   ~Detector();
   std::vector<bbox_t> detect(std::string image_filename, float thresh = 0.2);
   std::vector<bbox_t> detect(image_t img, float thresh = 0.2);
#ifdef OPENCV
   std::vector<bbox_t> detect(cv::Mat mat, float thresh = 0.2);
#endif
};
```