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Add shape validation in psnr function in metrics.py #11

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Add shape validation in psnr function in metrics.py #11

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6 changes: 5 additions & 1 deletion ArtExtract_Soyoung/utils/metrics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,10 @@ def __init__(self, feature_extractor, size_average=True):
self.ssim_metric = ssim(data_range=1.0)

def psnr(self, output, target):
if output.shape != target.shape:
raise ValueError(
f"Shape mismatch: output has shape {output.shape}, target has shape {target.shape}"
)
# Compute MSE per channel
mse_per_channel = torch.mean((target - output) ** 2, dim=[0, 2, 3]) # MSE per channel

Expand Down Expand Up @@ -72,4 +76,4 @@ def forward(self, output, target):
psnr_value = self.psnr(output, target)
lpips_value = self.lpips(output, target)
ssim_value = self.ssim(output, target)
return psnr_value, lpips_value, ssim_value
return psnr_value, lpips_value, ssim_value