Comments (2)
Thanks for your reply. But i still want to ask two questions:
- About above question, do you mean that the square pattern is better than the other patterns including the "Frequency Channel Selection"?
2.What is the order in which the 64 frequency channels are selected in Y, Cb, Cr. You just describe the order with the heat maps which is not comprehensive.
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We tested the performance of several static patterns and we found the differences between these patterns are minor. In the code, we use the square pattern and it works pretty good. But you can also try other patterns. Thanks.
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Related Issues (20)
- look for "block_composition" HOT 10
- Do you transform the images from BGR to YCbCr color space? HOT 2
- pretrained model can't be downloaded HOT 1
- The mobilenetv2 cannot be evaluated with your pretrained models. HOT 1
- the link to Training code is not available now ,could you update it again? HOT 5
- Cifar model not found
- About mean and std in transfrom HOT 2
- pretrained model can't be downloaded HOT 1
- How do you group the components with same frequency into one channel? HOT 1
- The code is so bad HOT 2
- pretrained model can't open HOT 5
- Questions about the dataloader and missing files HOT 1
- Missing transforms (ToYCrCb, ChromaSubsample, UpsampleDCT, CenterCropDCT) in cvtransforms.py HOT 3
- update training code
- how to decompress the pretrained model?
- could you share the env config?
- ModuleNotFoundError: No module named '_dctfromjpg_wrapper'
- RuntimeError: Wrong JPEG library version: library is 62, caller expects 90 solved
- 数据预处理
- 2✖ upsampling
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