xmodel(xilinx " /> xmodel(xilinx " /> xmodel(xilinx "/>

An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020

Overview

UnpairedSR

An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020 turn RCAN(modified) --> xmodel(xilinx graph)

Usage

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

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Comments
  •  pytorch_nndct

    pytorch_nndct

    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.

    opened by 497329284 1
Owner
JiaKui Hu
long may the sunshine
JiaKui Hu
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