cf7ed441052a1514bc7747661011944043d95206,inferno/extensions/metrics/arand.py,,adapted_rand,#Any#Any#,39

Before Change

    gt_zeros = np.all(gt == 0)
    if  seg_zeros or gt_zeros:
        if seg_zeros:
            logger.error("Segmentation is all zeros.")
        else:
            print(gt.shape)
            print(np.unique(gt))
            logger.error("Groundtruth is all zeros.")

After Change

    gt_zeros = np.all(gt == 0)
    if  seg_zeros or gt_zeros:
        if seg_zeros:
            logger.warn("Segmentation is all zeros, ignoring for eval.")
            return None
        else:
            print(gt.shape)
            print(np.unique(gt))

Instances