This directory contains code to evaluate the Faster R-CNN object detector described in the paper:
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,
Shaoqing Ren and Kaiming He and Ross Girshick and Jian Sun,
Advances in Neural Information Processing Systems (NIPS), 2015
This code is based on the py-caffe implementation
made available by
Ross Girshick and the MatConvNet
Fast R-CNN implementation by
Hakan Bilen.
The model currently only operates in test mode, using the pre-trained models released with the caffe code which have been imported into matconvnet and can be downloaded here.
Training code will be added when the original experiments have been reproduced.