Comments (4)
rfuruta
commented on September 14, 2024
You can get the pretrained models for color enhancement from here: https://1drv.ms/u/s!Ar-9gQOTm4zvkf82hP_TJlUpVCv0Bw?e=StU9z6
By using these weights with the test codes, you can reproduce our results.
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dhruv12399
commented on September 14, 2024
We are trying to retrain the model by using RMC from scratch. We wanted the weights with which you initialised the model and not the final weights.
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rfuruta
commented on September 14, 2024
I see. So, train the model with 200model.npz as the initial weights without RMC. Then, train the model again with RMC.
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dhruv12399
commented on September 14, 2024
Thanks a lot for your help :)
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Related Issues (13)
- Image Restoration and Color Enhancement? HOT 3
- image compression using PixelRL? HOT 1
- Color images? HOT 1
- 3 channel image restoration HOT 1
- Why the FCN needs a pre-trained weight? HOT 7
- What is the moved_image used for? Can you explain the function of state.step() a bit more? HOT 3
- Can pixelRL be combined with GAN? HOT 3
- How to run the code in google colab
- How to run in Colab HOT 6
- Regarding Testing Setup HOT 4
- Why did you augment the test set as well as the training set? And why did that boost the performance of your proposed method? HOT 1
- Reward functions used in image denoising
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