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# Copyright (c) OpenMMLab. All rights reserved. | |
import numpy as np | |
from mmocr.utils.typing_utils import ArrayLike | |
def points_center(points: ArrayLike) -> np.ndarray: | |
"""Calculate the center of a set of points. | |
Args: | |
points (ArrayLike): A set of points. | |
Returns: | |
np.ndarray: The coordinate of center point. | |
""" | |
points = np.array(points, dtype=np.float32) | |
assert points.size % 2 == 0 | |
points = points.reshape([-1, 2]) | |
return np.mean(points, axis=0) | |
def point_distance(pt1: ArrayLike, pt2: ArrayLike) -> float: | |
"""Calculate the distance between two points. | |
Args: | |
pt1 (ArrayLike): The first point. | |
pt2 (ArrayLike): The second point. | |
Returns: | |
float: The distance between two points. | |
""" | |
pt1 = np.array(pt1) | |
pt2 = np.array(pt2) | |
assert (pt1.size == 2 and pt2.size == 2) | |
dist = np.square(pt2 - pt1).sum() | |
dist = np.sqrt(dist) | |
return dist | |