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I've trained DPSR for my own dataset and the results seem pretty good when training.
If I apply the learned weights to some new images (very similar to the ones used for training) the output is very bad?
Here an example:
1- The low resolution image (cropped just for this example):
2- This is the result generated during the phase 6 (testing) while training with 'main_train_dpsr.py':
I was expecting this to be the result when applying the learned weights to my low resolution images, but the result when using the main_test_dpsr.py with the learned weights is:
Am I missing something? Could you please suggest?
Many thanks in advance
The text was updated successfully, but these errors were encountered:
Hi @cszn,
I've trained DPSR for my own dataset and the results seem pretty good when training.
If I apply the learned weights to some new images (very similar to the ones used for training) the output is very bad?
Here an example:
1- The low resolution image (cropped just for this example):
2- This is the result generated during the phase 6 (testing) while training with 'main_train_dpsr.py':
I was expecting this to be the result when applying the learned weights to my low resolution images, but the result when using the
main_test_dpsr.py
with the learned weights is:Am I missing something? Could you please suggest?
Many thanks in advance
The text was updated successfully, but these errors were encountered: