Darknet-On-OpenCL

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Darknet-On-OpenCL

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Darknet On OpenCL

Darknet-On-OpenCL 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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Darknet on OpenCL
==========

## Darknet
Darknet is an open source neural network framework written in C and CUDA. 
It is fast, easy to install, and supports CPU and GPU computation. 
You can find the origin project [here](https://github.com/pjreddie/darknet). 
## Darknet on OpenCL
As the origin darknet project is written in CUDA, this project is to port 
the darknet to OpenCL. Also, darknet is assumed to run on Linux and used 
some POSIX C APIs, This project rewrite this with standard C++ libraries. 
So that it could also run on Windows. 
## Dependency
`OpenCL` 
Make sure you have OpenCL installed, and set environment variables OPENCL_SDK 
point to your OpenCL installed path. 
`clBLAS` 
clBLAS is equivalent to cuBLAS, you can find the source code [here](https://github.com/clMathLibraries/clBLAS) 
and compile it yourself. 
or you can use binary library for Windows/Ubuntu x64 platform I have already provided 
You can find clBLAS.lib/clBLAS.dll for Windows and libclBLAS.so for Linux 
as well as header file [here](https://github.com/ganyc717/Darknet-On-OpenCL/tree/master/darknet_cl/clBLAS). 
## Build
`Windows` 
This project is prepared with Visual Studio 2017, just open darknet_cl.sln 
and build it. 
To enable OpenCL, please set environment variables OPENCL_SDK first. 
To enable OpenCV, please set environment variables OPENCV_INCLUDE_DIR 
and OPENCV_LIB first. 
`Linux` 
mkdir build && cd build 
cmake ../ 
make 
## Usage
Once you compiled this project, it has the same usage as darknet, 
you can find it [here](https://pjreddie.com/darknet/). 
If you compile the project depend on the clBLAS library I provided, you'd better 
copy dependent library clBLAS.dll or libclBLAS.so to 
system lib path.(C:\\Windows\\System32 or /usr/lib). 
## Attention
This project didn't build the DarkGo into the darknet_cl, maybe support it later.

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