From 9ff0b7efcb9281bd68ffc9b670e4f882a03dc559 Mon Sep 17 00:00:00 2001
From: AlexeyAB <kikots@mail.ru>
Date: Thu, 03 Aug 2017 19:18:00 +0000
Subject: [PATCH] Linux supported
---
README.md | 7 ++++---
1 files changed, 4 insertions(+), 3 deletions(-)
diff --git a/README.md b/README.md
index 28e8201..0976c18 100644
--- a/README.md
+++ b/README.md
@@ -102,13 +102,13 @@
3.1 (right click on project) -> properties -> C/C++ -> General -> Additional Include Directories: `C:\opencv_2.4.13\opencv\build\include`
- 3.2 (right click on project) -> properties -> Linker -> General -> Additional Library Directories: `C:\opencv_2.4.13\opencv\build\x64\vc12\lib`
+ 3.2 (right click on project) -> properties -> Linker -> General -> Additional Library Directories: `C:\opencv_2.4.13\opencv\build\x64\vc14\lib`
4. If you have other version of OpenCV 2.4.x (not 3.x) then you also should change lines like `#pragma comment(lib, "opencv_core2413.lib")` in the file `\src\detector.c`
5. If you want to build with CUDNN to speed up then:
- * download and install **cuDNN 5.1 for CUDA 8.0**: https://developer.nvidia.com/cudnn
+ * download and install **cuDNN 6.0 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
@@ -143,7 +143,7 @@
* `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
* For OpenCV 3.0: `opencv_world320.dll` and `opencv_ffmpeg320_64.dll` from `C:\opencv_3.0\opencv\build\x64\vc14\bin`
- * For OpenCV 2.4.13: `opencv_core249.dll`, `opencv_highgui249.dll` and `opencv_ffmpeg249_64.dll` from `C:\opencv_2.4.9\opencv\build\x64\vc12\bin` or `vc14\bin`
+ * For OpenCV 2.4.13: `opencv_core249.dll`, `opencv_highgui249.dll` and `opencv_ffmpeg249_64.dll` from `C:\opencv_2.4.9\opencv\build\x64\vc14\bin`
## How to train (Pascal VOC Data):
@@ -332,6 +332,7 @@
* 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)
+ * you can see source code of simple example for detection on the video file: [link](https://github.com/AlexeyAB/darknet/blob/ab1c5f9e57b4175f29a6ef39e7e68987d3e98704/src/yolo_console_dll.cpp#L75)
`yolo_cpp_dll.dll`-API: [link](https://github.com/AlexeyAB/darknet/blob/master/src/yolo_v2_class.hpp#L31)
```
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