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Hello, in the use of torchmetrics. Segmentation. MeanIoU calculation, more time-consuming, even with the cuda.
Example:
num_classes = 21
bs,h,w =10, 512,512
preds = torch.randint(0,num_classes,(bs,h,w))
labels = torch.randint(0,num_classes,(bs,h,w))
Can it be optimized?
The text was updated successfully, but these errors were encountered:
Hello, in the use of torchmetrics. Segmentation. MeanIoU calculation, more time-consuming, even with the cuda.
Example:
num_classes = 21
bs,h,w =10, 512,512
preds = torch.randint(0,num_classes,(bs,h,w))
labels = torch.randint(0,num_classes,(bs,h,w))
Can it be optimized?
The text was updated successfully, but these errors were encountered: