Pedestrian-RCNN

This code extends py-faster-rcnn by adding:

• ResNet implementation.
• Online Hard Example Mining.
• Caltech Dataset train and test interface.

Base

• The faster rcnn code is based on py-faster-rcnn.
• The ohem code is based on ohem.
• To reduce the memory usage, we use batchnorm layer in Microsoft's caffe
• The caltech dataset interface based on GBJim-py-faster-rcnn

Installation

The installation and useage are same as Faster R-CNN

1. clone the repository and caffe submodule
2. build lib and caffe
3. train your model command like: ./experiments/scripts/caltech.sh 0 ResNet50 reasonable