"updating"

Author: rohan-paul

mean_iou.py

@@ -7,6 +7,21 @@
 # First Alternative Mean IoU Calculations with PyTorch
 ########################################################
 def mean_iou(predicted_label, label, eps=1e-10, num_classes=10):
+ """
+ Calculates the mean Intersection over Union (IoU) for multiple classes between predicted labels and true labels.
+
+ The mean IoU is a common evaluation metric for semantic segmentation tasks.
+ It measures the average overlap between the predicted and true labels for each class.
+
+ Args:
+ predicted_label (Tensor): Predicted labels from the model.
+ label (Tensor): True labels or ground truth values.
+ eps (float, optional): Smoothing parameter to avoid division by zero. Default is 1e-10.
+ num_classes (int, optional): Number of classes. Default is 10.
+
+ Returns:
+ float: Mean IoU value.
+ """
  with torch.no_grad():
  predicted_label = F.softmax(predicted_label, dim=1)
  predicted_label = torch.argmax(predicted_label, dim=1)