ezrealzhang / REPNet_NTIRE23-RTSR

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Evalutation Track1(x2)

python demo/runtime_demo.py --submission-id 1 --model-name repnet  --scale 2 --fp16
python demo/sr_demo.py --submission-id 1 --model-name repnet --checkpoint demo/model_zoo/repnet_x2.pth --scale 2 --lr-dir ./testset/LR2/ --save-sr --fp16

Evalutation Track1(x3)

python demo/runtime_demo.py --submission-id 1 --model-name repnet  --scale 3 --fp16
python demo/sr_demo.py --submission-id 1 --model-name repnet --checkpoint demo/model_zoo/repnet_x3.pth --scale 3 --lr-dir ./testset/LR3/ --save-sr --fp16

References

[1] Mobile AI & AIM 2022 Challenge: Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs

[2] NTIRE 2022 Efficient Super-Resolution Challenge

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License:Apache License 2.0


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