Fix coordinates sorting of textlines

CJKPATTERN = re.compile(r'[\uac00-\ud7a3\u3040-\u30ff\u4e00-\u9FFF]')

def sort_pnts(pts: np.ndarray):

    '''

    Direction must be provided for sorting.

    The largest pairwise vector of input points is used to determine the direction.

    It is reliable enough for text lines but not for blocks.

    '''

    if isinstance(pts, List):

        pts = np.array(pts)

    assert isinstance(pts, np.ndarray) and pts.shape == (4, 2)

    diag_vec = pts[:, None] - pts[None]

    diag_vec_norm = np.linalg.norm(diag_vec, axis=2)

    diag_pnt_ids = np.unravel_index(np.argmax(diag_vec_norm), diag_vec_norm.shape)

    diag_vec = diag_vec[diag_pnt_ids[0], diag_pnt_ids[1]]

    diag_vec = np.abs(diag_vec)

    is_vertical = diag_vec[0] <= diag_vec[1]

    if is_vertical:

        pts = pts[np.argsort(pts[:, 1])]

        pts = pts[[*np.argsort(pts[:2, 0]), *np.argsort(pts[2:, 0])[::-1] + 2]]

        return pts, is_vertical

    else:

        pts = pts[np.argsort(pts[:, 0])]

        pts_sorted = np.zeros_like(pts)

        pts_sorted[[0, 3]] = sorted(pts[[0, 1]], key=lambda x: x[1])

        pts_sorted[[1, 2]] = sorted(pts[[2, 3]], key=lambda x: x[1])

        return pts_sorted, is_vertical

@nested_dataclass

class TextBlock:

    xyxy: List = field(default_factory = lambda: [0, 0, 0, 0])

    bbox_score_thresh = 0.4

    mask_score_thresh = 0.1

    for ii, line in enumerate(lines):

        line, is_vertical = sort_pnts(line)

        bx1, bx2 = line[:, 0].min(), line[:, 0].max()

        by1, by2 = line[:, 1].min(), line[:, 1].max()

        bbox_score, bbox_idx = -1, -1