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Code for "Distort-and-Recover: Color Enhancement with Deep Reinforcement Learning", CVPR18

Home Page: https://sites.google.com/view/distort-and-recover/

Python 99.40% Shell 0.60%

distort-and-recover-cvpr18's Introduction

DISTORT-AND-RECOVER-CVPR18

Code for "Distort-and-Recover: Color Enhancement with Deep Reinforcement Learning", CVPR18

Overview

  • You can pull&use the docker image from pjc0309/default_setup:latest to run the code. (TensorFlow 0.11.0rc, and other packages such as numpy/scipy)
  • Before training,prepare MIT5K train/test images in separate folders (train/raw/, train/target/, test/raw/, test/target/). And edit the path in main.py accordingly.
  • run_train.sh starts training.
  • Use parse_test.py to parse the test results. (edit the paths accordingly)
  • The training speed (iterations per second) should be between 20~40 it/sec. (When trained on i5-6600 and GTX 1080)

Data

  • MIT5K Train/Val(RANDOM250) images. Resized to maximum side 500px, JPEG format. (including RANDOM250 list) LINK

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distort-and-recover-cvpr18's Issues

question about 'image_np+0.5'

Hi,

Thanks for sharing the code. May I know why you add 0.5 to image_np before taking any actions?

Regards,
Xiaodong

get "duplicated prefix" issues

Hello, thank you for your wonderful work. I have a trouble when I run the test code. I use ./run_test.sh and get duplicated prefix which is so strange that I can not solve it.
Looking forward for your reply!

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