By Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He
This code is relative to an arXiv tech report, which is also accepted on ECCV 2016.
The RPN code in this repo is written based on the MATLAB re-implementation of Faster R-CNN. Details about Faster R-CNN are in: ShaoqingRen/faster_rcnn.
This BF code in this repo is written based on Piotr's Image & Video Matlab Toolbox. Details about Piotr's Toolbox are in: pdollar/toolbox.
This code has been tested on Ubuntu 14.04 with MATLAB 2014b.
If you find this repo useful in your research, please consider citing:
@article{zhang2016faster,
title={Is Faster R-CNN Doing Well for Pedestrian Detection?},
author={Zhang, Liliang and Lin, Liang and Liang, Xiaodan and He, Kaiming},
journal={arXiv preprint arXiv:1607.07032},
year={2016}
}
Caffe
build for Faster R-CNN (included in this repository, seeexternal/caffe
)- If you are using Windows, you may download a compiled mex file by running
fetch_data/fetch_caffe_mex_windows_vs2013_cuda65.m
- If you are using Linux or you want to compile for Windows, please follow the instructions on our Caffe branch.
- If you are using Windows, you may download a compiled mex file by running