An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020
An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020 turn RCAN(modified) --> xmodel(xilinx graph)
python -W ignore train.py
if you want to deploy it on pynq-dpu(now support V2.6)
cd convert
sh quantize.sh
you can get .xmodel in RCAN_DPU_OutPut, that's what you want
Hello, when trying to deploy your project, found that there is no data set file for training, would like to ask where can get it? I am looking forward to your answer.thanks
Would you like to know that your test code is to run xmodel.py? In addition, is the pytorch_nndct in the code a file generated during the training process or is it not published here yet? Thank you very much for your help.
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