[TNNLS 2021] The official code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement"

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Deep Learning CSDNet-CSDGAN
Overview

CSDNet-CSDGAN

this is the code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement"

Environment Preparing

python 3.6
pytorch 0.4.1

Testing

Download pretrained model from Google drive or Baidu drive (extraction code:xcch). Then put them into ./checkpoints/

Finally, run the script below, the results will be saved in ./results/

python test.py 
--dataroot           #The folder path of the picture you want to test
E:/test/
--name               #The checkpoint name
CSDNet_UPE or CSDNet_LOL or CSDGAN or LiteCSDNet_UPE or LiteCSDNet_LOL or SLiteCSDNet_UPE or SLiteCSDNet_LOL
--gpu_ids            #could be single or multiple
0

A great thanks to EnlightenGAN for providing the basis for this code.

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Comments
  • ModuleNotFoundError: No module named 'torch.utils.serialization'

    ModuleNotFoundError: No module named 'torch.utils.serialization'

    I am using pytorch version 0.4.1 and torchvision 0.2.0 on my device with cuda 9.2.

    I ran code to generate results and it was working fine previously. Now, suddenly it is showing error: ModuleNotFoundError: No module named 'torch.utils.serialization'.

    Traceback (most recent call last): File "test.py", line 12, in from models.test_model import TestModel File "/home/ppp/Desktop/PYTORCH-LOW-LIGHT/CSDNet-CSDGAN-master/models/test_model.py", line 8, in from . import networks as networks File "/home/ppp/Desktop/PYTORCH-LOW-LIGHT/CSDNet-CSDGAN-master/models/networks.py", line 10, in from torch.utils.serialization import load_lua ModuleNotFoundError: No module named 'torch.utils.serialization'

    opened by singhkavinder 0
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