(gt_sorted)
return jaccard
Computes gradient of the Lovasz extension w.r.t sorted errors
    See Alg. 1 in paper
Computes gradient of the Lovasz extension w.r.t sorted errors
    See Alg. 1 in paper
Computes gradient of the Lovasz extension w . r . t sorted errors See Alg . 1 in paper
def lovasz_grad(gt_sorted):
    """
    Computes gradient of the Lovasz extension w.r.t sorted errors
    See Alg. 1 in paper
    """
    p = len(gt_sorted)
    gts = gt_sorted.sum()
    intersection = gts - gt_sorted.float().cumsum(0)
    union = gts + (1 - gt_sorted).float().cumsum(0)
    jaccard = 1. - intersection / union
    if p > 1: # cover 1-pixel case
        jaccard[1:p] = jaccard[1:p] - jaccard[0:-1]
    return jaccard
def lovasz_grad ( gt_sorted ) : p = len ( gt_sorted ) gts = gt_sorted . sum ( ) intersection = gts - gt_sorted . float ( ) . cumsum ( 0 ) union = gts + ( 1 - gt_sorted ) . float ( ) . cumsum ( 0 ) jaccard = 1. - intersection / union if p > 1 : # cover 1-pixel case jaccard [ 1 : p ] = jaccard [ 1 : p ] - jaccard [ 0 : - 1 ] return jaccard