Hi all

I want to ask about the IOU metric for multiclass semantic segmantation

can I use this code from the semantic segmentation PyTorch model to calculate the IOU

def iou(pr, gt, eps=1e-7, threshold=None, ignore_channels=None):

“”“Calculate Intersection over Union between ground truth and prediction

Args:

pr (torch.Tensor): predicted tensor

gt (torch.Tensor): ground truth tensor

eps (float): epsilon to avoid zero division

threshold: threshold for outputs binarization

Returns:

float: IoU (Jaccard) score

“””

```
pr = _threshold(pr, threshold=threshold)
pr, gt = _take_channels(pr, gt, ignore_channels=ignore_channels)
intersection = torch.sum(gt * pr)
union = torch.sum(gt) + torch.sum(pr) - intersection + eps
return (intersection + eps) / union
```

my target mask is: 8x512x512

my predicted mask is: 8x5x512x512

where is 5: No of class

8: batch size