Created by Tingwu Wang at Sense Time, Beijing and also with Tsinghua University.

It is a course projects, and sorry we have only a linux port one.

This pedestrian detection is based on the work of DPM and libccv. If you want to cite the original work, please cite

@article{girshick15fastrcnn,
	Author = {Ross Girshick},
	Title = {Fast R-CNN},
	Journal = {arXiv preprint arXiv:1504.08083},
	Year = {2015}
}
@misc{libccv,
	author       = "Liu Liu",
	title        = "C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library",
	howpublished = "https://github.com/liuliu/ccv"
}

This pedestrian detector is under the MIT License (refer to the LICENSE file for details).

1. The libccv dependency.

-lm -lcblas -latlas -lpng -ljpeg -lfftw3 -lfftw3f
-lpthread -llinear -lavcodec -lavformat -lswscale
-lgsl -lgslcblas -lcuda -lcudart -lcublas -L/usr/local/cuda/lib64

The cuda, cblas, atlas is what you really need to get. Other packages, you either already have it in Ubuntu, or could easily install using a sudo trick. 2. OpenCV library with 2.6+ 3. g++ with 4.6 or earlier

A GPU that support CUDA-7, or CUDA-6, earlier versions are your own adventures, cause I don't know what will happen.

The data is a big issue. Check out the $PEDESTRIAN/data/whats in the data directory.png It lists all the data I used to run the projects. Take a look in the source file $PEDESTRIAN/pedestrian/, download what is necessary.

1. make sure you download all the lib you need.
2. make the ccv library by

cd lib
./configure && make

3. download the data you need, check out the

pedestrian-detection-thu2015/data/whats in the data directory.png

4. Using the g++ to compile the source code.

cd pedestrian-detection-thu2015/pedestrian/
g++ ...

Remember to add the ccv dependency in /lib/.dep

and the ccv lib you just make in the step 2

and the OpenCV lib of course. 5. The results is stored in the /data/results (or change the path if you want)