Winner solution for CVPR 2023 PBVS Guided Thermal Image Super-Resolution
Home Page: https://codalab.lisn.upsaclay.fr/competitions/9666#results
torchrun --nnodes 1 --nproc_per_node=4 --rdzv_backend=c10d --rdzv_endpoint=localhost:10342 main.py -c ./config/nir.yml --scale 8 --model_name Base2 --show_every 10 --epochs 90 --num_gpus 4 --opt Adam --decay_epochs '40_70' --lr 3e-4 --embed_dim 64 --sched multistep --seed 60
torchrun --nnodes 1 --nproc_per_node=2 --rdzv_backend=c10d --rdzv_endpoint=localhost:10345 main.py -c ./config/nir.yml --scale 8 --test_only
From the code you gave, the data set seems to be in h5 format. Can you provide a way to download the data set?
您好，可以上传一下可见光和红外图像的训练验证数据集嘛，codalab里面的链接过期了，麻烦了，谢谢！
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