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All Projects → murphypei → faster-rcnn-pedestrian-detection

murphypei / faster-rcnn-pedestrian-detection

Licence: MIT License
Faster R-CNN for pedestrian detection

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Pedestrian-RCNN

This code extends py-faster-rcnn by adding:

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

Base

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/faster_rcnn_end2end.sh 0 ResNet50 caltech_reasonable

Notices

For different datasets, the interval frame rate is different, so it need to be changed.

In ./lib/datasets/caltech.py, change the start_frame and frame_rate of insert_frame function.

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