Comments (2)
fbcotter
commented on July 21, 2024
Just added an MIT License
from pytorch_wavelets.
fbcotter
commented on July 21, 2024
If you are using the DTCWT section of the repo, you should see the License at the bottom of the README.rst, in particular the request to cite Nick Kingsbury's paper. If you only wish to use the DWT, then the MIT license applies, but please cite the DOI for now (until I release a paper).
from pytorch_wavelets.
Related Issues (20)
- Support for DoubleFloat HOT 1
- How to implement DTCWT to 1-D signals? HOT 10
- Padding for powers of 2 HOT 1
- Reconstructed wavelet HOT 1
- Export DWTForward to onnx HOT 1
- Not preserving spatial dimensions HOT 1
- Make pypi release with 1D DWT
- using dtcwt as a high freq feature extractor HOT 1
- DWTInverse is not the inverse of DWTForward for small image sizes.
- ValueError: step must be greater than zero HOT 1
- Compatiable with torch AMP?
- How does output yl reflect the two approximate subbands?
- How to change default tensor dtype in pytorch_wavelets HOT 2
- Why must kernels be fixed?
- Hints on avoiding the scaled ouput
- Installation error HOT 1
- How to implement DTCWT for 1-D signals? Looking forward to your answer.
- py37_cu102/fused/fused.so
- How to calculate the params of DWT and IDWT?
- something wrong when we use encoder to process the high_frequency component
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from pytorch_wavelets.