anl13 / darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores is used)

Home Page:http://pjreddie.com/darknet/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Brief Introduction

This is a modified version of original darknet. Support C++ batch detection manner.

Original README.md see README.md.bk.

It is just for test and personal usage. I am happy for any advice on it.

Changes

This code is modified to detect batch images. src/yolo_batch.hpp and src/yolo_batch.cpp are modified version of yolo_v2_class.hpp and yolo_v2_class.cpp, with tracking feature removed and batch detection added.

Compiling

Just make it. It will generate some test executable. Source code for testing executable are src/test*.

My environment: CUDA 9.0 with CUDNN 7.0.5, Ubuntu 16.04, gcc5.4.0

Evaluation

With batch_size = 4, batch detection may save about 10ms compared with one-by-one manner.

About

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores is used)

http://pjreddie.com/darknet/

License:Other


Languages

Language:C 79.0%Language:C++ 7.7%Language:Cuda 6.1%Language:Python 6.0%Language:Batchfile 0.5%Language:Makefile 0.3%Language:C# 0.2%Language:Shell 0.2%Language:Objective-C 0.0%