Comments (1)
Jetcodery
commented on August 25, 2024
output_clean_image = self.sess.run(
[self.Y],feed_dict={self.Y_: clean_image, self.X: noisy,
self.is_training: False})This is weird and i cant understand it , outside result is [self.Y] and feed the self.Y its clean_image at the same time?Would you please explain it for me ,that would be helpful,thx!
sorry i missed 'You need the original files for testing just to calculate the PSNR. You can denoise without original files: just put the noisy files also in ./data/test/original .'
from dncnn-tensorflow.
Related Issues (20)
- hi, i want to know how do you get your denoisy images in training and testing, can you tell me? thank you very much. HOT 1
- error xrange HOT 2
- error: AttributeError: 'Namespace' object has no attribute 'temporal' HOT 3
- Loss function formula
- closed
- DnCNN last layer HOT 1
- Different patches for noisy and clean pairs
- Handling the variable image sizes
- About patch disunderstand
- 'float' object cannot be interpreted as an integer HOT 1
- Memory Explode HOT 6
- help HOT 2
- where is the test set?
- Same picture for denoised and noisy HOT 1
- This program will not run at all, the Python version is too old, and there are no test data. In short, it is terrible. HOT 1
- Does the size of each image have to be fixed as 180*180? HOT 1
- How to use this model for my data?
- Got Fetch argument None has invalid type <class 'NoneType'> error HOT 1
- Performance issue in /model.py (by P3) HOT 2
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