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I saw the Cyclic Burst Sampling module in your article, and I think this module is very cleverly designed, but I can't find the definition of the code for this module in your code, can I ask you where this code is? There is one more question, the weights in the trace 1 part you gave me don't seem to match the model, is the weight file uploaded wrongly?
thank you
The text was updated successfully, but these errors were encountered:
Here is the answer to your first question: there is a class called no_ref_back_projection in Burst De-noising/Network.py that performs the cyclic burst sampling in the forward pass. It uses torch.roll to shift the burst and then reshape both the original and shifted versions to couple the frames and finally concatenate the results.
thanks for your replying.
---- Replied Message ----
| From | ***@***.***> |
| Date | 07/21/2023 04:02 |
| To | akshaydudhane16/Burstormer ***@***.***> |
| Cc | seeuao ***@***.***>,
Author ***@***.***> |
| Subject | Re: [akshaydudhane16/Burstormer] Question for Cyclic Burst Sampling in NRFE. (Issue #6) |
Here is the answer to your first question: there is a class called no_ref_back_projection in Burst De-noising/Network.py that performs the cyclic burst sampling in the forward pass. It uses torch.roll to shift the burst and then reshape both the original and shifted versions to couple the frames and finally concatenate the results.
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I saw the Cyclic Burst Sampling module in your article, and I think this module is very cleverly designed, but I can't find the definition of the code for this module in your code, can I ask you where this code is? There is one more question, the weights in the trace 1 part you gave me don't seem to match the model, is the weight file uploaded wrongly?
thank you
The text was updated successfully, but these errors were encountered: