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This project forked from joeyballentine/trainner-redux

3.0 3.0 4.0 4.24 MB

(Fork of BasicSR) Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, OmniSR, HAT, GRL, etc. Also support StyleGAN2, DFDNet.

Home Page: https://basicsr.readthedocs.io/en/latest/

License: Apache License 2.0

Shell 0.05% C++ 2.59% Python 93.12% MATLAB 0.38% Cuda 3.86%

trainner-redux-fj's People

Contributors

csjliang avatar cugtyt avatar flotingdream avatar henrymai avatar ibobbyts avatar ira7bar avatar jeremyiv avatar joeyballentine avatar kim2091 avatar kodxana avatar liangbinxie avatar lotayou avatar my-zhu avatar orgoro avatar wenlongzhang0517 avatar wwhio avatar xinntao avatar zenjieli avatar zestloveheart avatar

Stargazers

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trainner-redux-fj's Issues

LDL loss intensive memory usage

LDL loss doubles my VRAM usage. Now, I've read that commenting ema_decay fixes this problem, but doing this triggers this error :
AttributeError: 'GeneralGANModel' object has no attribute 'net_g_ema'

Error when using multiscale

When using multiscale, this error occurs and training stops right away :

AttributeError: 'list' object has no attribute 'new_ones'

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