(preds, labels, EMPTY=1., ignore=None, per_image=True)
return 100 * iou
IoU for foreground class
    binary: 1 foreground, 0 background
IoU for foreground class
    binary: 1 foreground, 0 background
IoU for foreground class binary : 1 foreground 0 background
def iou_binary(preds, labels, EMPTY=1., ignore=None, per_image=True):
    """
    IoU for foreground class
    binary: 1 foreground, 0 background
    """
    if not per_image:
        preds, labels = (preds,), (labels,)
    ious = []
    for pred, label in zip(preds, labels):
        intersection = ((label == 1) & (pred == 1)).sum()
        union = ((label == 1) | ((pred == 1) & (label != ignore))).sum()
        if not union:
            iou = EMPTY
        else:
            iou = float(intersection) / union
        ious.append(iou)
    iou = mean(ious)    # mean accross images if per_image
    return 100 * iou
def iou_binary ( preds , labels , EMPTY = 1. , ignore = None , per_image = True ) : if not per_image : preds , labels = ( preds , ) , ( labels , ) ious = [ ] for pred , label in zip ( preds , labels ) : intersection = ( ( label == 1 ) & ( pred == 1 ) ) . sum ( ) union = ( ( label == 1 ) | ( ( pred == 1 ) & ( label != ignore ) ) ) . sum ( ) if not union : iou = EMPTY else : iou = float ( intersection ) / union ious . append ( iou ) iou = mean ( ious ) # mean accross images if per_image return 100 * iou