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ColorPolarNet: Residual Dense Network-Based Chromatic Intensity-Polarization Imaging in Low-Light Environment

This repository contains the codes for paper ColorPolarNet: Residual Dense Network Based Chromatic Intensity-Polarization Imaging in Low-Light Environment by Xiuyu Xu, Minjie Wan*, Junyu Ge, et al. (*Corresponding author).

The overall repository style is partially borrowed from IPLNet (https://github.com/Dismoon/IPLNet). Thanks to Haofeng Hu.

We provide the LLCP dataset of our paper. You can download them by the following link. [LLCP (Google Drive)] [LLCP (Baidu Drive pw:85eg)]

Requirements

  • Python 3.6
  • Tensorflow 1.13
  • CUDA10.0 and cuDNN
  • h5py 2.8
  • opencv

Usage

  • Download and release LLCP.zip. Put the LLCP folder in the ColorPolarNet folder.
  • Setup the required parameters in the main scripts.
  • Run main.py for training or testing.

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