5bc2c075733e672a9a7c5e14bc474788f88e90de,gluoncv/utils/viz/mask.py,,expand_mask,#Any#Any#Any#Any#Any#Any#Any#,9

Before Change

    full_masks = []
    bboxes *= scale
    for i in sorted_inds:
        if scores is not None and scores[i] < thresh:
            continue
        mask = masks[i]
        bbox = bboxes[i]

After Change

        sorted_inds = np.argsort(range(len(masks)))

    bboxes *= scale
    valid = np.where(scores >= thresh)[0]
    sorted_inds = sorted_inds[valid]
    masks = masks[valid]
    bboxes = bboxes[valid]
    full_masks = fill(masks, bboxes, im_shape)
    return full_masks, sorted_inds

Instances