Model: SRResNet Scale: 4x Input: 256x160 RGB Output: 1024x640 RGB Residual blocks: 8 Channels: 64 Framework: PyTorch Loss: L1 Optimizer: Adam Learning rate: 1e-4

model = SRResNet(
    scale=4,
    num_blocks=8,
    channels=64
)

model.load_state_dict(
    torch.load("srresnet_final.pth")
)

model.eval()

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