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Use ESRGAN (old Architecture) weights #12
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Could you just share the bin files instead of pointing to the Colab script? |
This the converted weights& prog I currently use.. 1x ( cmd: realsr.exe -m c -s 1 ) is "Fatality DeBlur"; Weights form: default input = tibr_o.jpg |
@Klanly |
https://github.com/Klanly/realsr-ncnn-vulkan/blob/master/src/Readme/Readme.md So, |
I made a google colab script to convert ESRGAN (old Architecture) pth files to .param and .bin:
ncnnconv.zip, rename it to .7z
(to_onnx.py .etc from github.com/achie27/super-resolution )
Replace 'models-DF2K/x4.bin' with the generated x4_fp32.bin or x4_fp16.bin then that's it.
There are about +-3 value bias per channel, comparing to it's original pytorch results.
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