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
ELimNet ELimNet: Eliminating Layers in a Neural Network Pretrained with Large Dataset for Downstream Task Removed top layers from pretrained Efficient
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