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video-repair-for-jpeg-compression's Introduction

Video Repair for 马栏山杯 contest

The code in this repo is used to take part in the video repair contest, whose task is to remove artifacts in video caused by JPEG compression. You can click this link to see more details.

Installation


The code is tested under Python 3.5.2, Tensorflow 1.8.0, CUDA 10 and cuDNN 7.1.4.

Run make to compile deform_conv ops.

Model


The majority of code is modified from EDVR. What I do is to find a more appropriate reconstruction model for video repair. The model is shown as follows.

model

Train


Firstly, you can have a look at scripts under tools folder to prepare data used to train.

Secondly, configure params.py to make sure the code will work as you desire.

Finally, run python train.py to train your own model.

Acknowledgement


deform_conv ops is copied from TF-deformable-conv.

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