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bsrgan-pytorch's Issues

train_bsrgan.py中的resume问题

我在resume时出现了2个错误,一个是checkpoints路径问题,一个resume_d时多了个ema_lsrresnet_model 😂😂😂
应该要改成这样吧

    if bsrgan_config.resume_d:
        lsrresnet_model, start_epoch, est_psnr, best_ssim, optimizer, scheduler = load_state_dict(
            d_model,
            bsrgan_config.resume_d,
            optimizer=d_optimizer,
            scheduler=d_scheduler,
            load_mode="resume")
        print("Loaded pretrained model weights.")
    else:
        print("Resume training d model not found. Start training from scratch.")

    print("Check whether the pretrained g model is restored...")
    if bsrgan_config.resume_g:
        lsrresnet_model, ema_lsrresnet_model, start_epoch, est_psnr, best_ssim, optimizer, scheduler = load_state_dict(
            g_model,
            bsrgan_config.resume_g,
            ema_model=ema_g_model,
            optimizer=g_optimizer,
            scheduler=g_scheduler,
            load_mode="resume")
        print("Loaded pretrained model weights.")

AttributeError: module 'bsrgan_config' has no attribute 'g_arch_name'

Traceback (most recent call last):
File "/home/drfarooq/numan/BSRGAN-PyTorch-main/test.py", line 90, in
main()
File "/home/drfarooq/numan/BSRGAN-PyTorch-main/test.py", line 33, in main
bsrgan_model = model.dict[bsrgan_config.g_arch_name](in_channels=bsrgan_config.in_channels,
AttributeError: module 'bsrgan_config' has no attribute 'g_arch_name'

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