Comments (2)
Hello, thanks for your attention.
The initialization is implemented in a load_pretrained_model()
method in PISR/model/base.py
.
More specifically, the config file PISR/configs/fsrcnn/step2.yml
has a configuration named "initialize_from", which is set to results/fsrcnn/fsrcnn_teacher/checkpoint
.
It makes the parameters of the student model initialized from the teacher's parameters.
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oh! I See
Thank you for your reply. I've learned a lot from your code.
thanks!
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Related Issues (20)
- Training help HOT 4
- Can we scale up 8 times?? HOT 2
- How can I visualize the result with the visualizer in your code? HOT 1
- About Teacher Network HOT 1
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- Why my training data is expanded in Teacher net? HOT 1
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- step1_train_teacher.py", line 123 HOT 1
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- Can you provide the magnitude spectrum test code of 2D Fast Fourier Transform (FFT) mentioned in the paper HOT 9
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- encoder HOT 2
- Could this method be applied to EDVR model? HOT 6
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