897565a0174f93d750b22bb846bd0f4c16e76a01,nilearn/regions/region_extractor.py,,extract_regions_labels_img,#Any#Any#Any#,443

Before Change

    current_max_label = 0
    for label_id in unique_labels:
        this_label_mask = (labels_data == label_id)
        if not np.any(this_label_mask):
            continue
        // Extract regions assigned to each label id
        regions, this_n_labels = _compute_regions_labels(
            this_label_mask.astype(np.int), connect_diag=connect_diag)
        regions = regions.copy()

        if min_size is not None:
            index = np.arange(this_n_labels + 1)
            this_label_mask = this_label_mask.astype(np.int)

After Change

            this_label_mask = this_label_mask.astype(np.int)
            regions = _remove_small_regions(regions, this_label_mask,
                                            index, min_size=min_size)
            this_n_labels = regions.max()

        new_labels_data[regions != 0] = (regions[regions != 0]
                                         + current_max_label)
        current_max_label += this_n_labels

Instances