Update Readme.md

Alexey

2017-04-21 56ff0edf102747ffc39d60f57a54385bba40267b

 README.md

@@ -12,7 +12,7 @@
|  ![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) |   ![map_fps](https://hsto.org/files/a24/21e/068/a2421e0689fb43f08584de9d44c2215f.jpg) https://arxiv.org/abs/1612.08242 |
|---|---|

|  ![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) |   ![map_fps](https://hsto.org/files/978/a64/7ca/978a647caaee40b7b0a64f7770f11e99.jpg) https://arxiv.org/abs/1612.08242 |
|  ![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png) |   ![map_fps](https://hsto.org/files/3a6/fdf/b53/3a6fdfb533f34cee9b52bdd9bb0b19d9.jpg) https://arxiv.org/abs/1612.08242 |
|---|---|


@@ -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
      
@@ -136,13 +136,14 @@
`..\..\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
@@ -168,7 +169,9 @@

5. Run command: `type 2007_train.txt 2007_val.txt 2012_*.txt > train.txt`

6. Start training by using `train_voc.cmd` or by using the command line: `darknet.exe detector train data/voc.data yolo-voc.cfg darknet19_448.conv.23`
6. Set `batch=64` and `subdivisions=8` in the file `yolo-voc.cfg`: [link](https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/yolo-voc.cfg#L3)

7. Start training by using `train_voc.cmd` or by using the command line: `darknet.exe detector train data/voc.data yolo-voc.cfg darknet19_448.conv.23`

If required change pathes in the file `build\darknet\x64\data\voc.data`

@@ -186,6 +189,8 @@

1. Create file `yolo-obj.cfg` with the same content as in `yolo-voc.cfg` (or copy `yolo-voc.cfg` to `yolo-obj.cfg)` and:

  * change line batch to [`batch=64`](https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/yolo-voc.cfg#L3)
  * change line subdivisions to [`subdivisions=8`](https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/yolo-voc.cfg#L4)
  * change line `classes=20` to your number of objects
  * change line #224 from [`filters=125`](https://github.com/AlexeyAB/darknet/blob/master/cfg/yolo-voc.cfg#L224) to `filters=(classes + 5)*5` (generally this depends on the `num` and `coords`, i.e. equal to `(classes + coords + 1)*num`)