网络中有很多关于cv2旋转图片的代码，但是在旋转图片的同时选择相应的坐标代码却很少或者不符合要求，因此在此整理相关代码并展示。

import cv2
import numpy as np


def rotate_img_and_points(image, angle, points):
    """
    旋转图片
    :param image:输入图像
    :param angle: 旋转角度
    :return: 旋转后的图片
    """

    def rotate_points(ps, m):
        pts = np.float32(ps).reshape([-1, 2])  # 要映射的点
        pts = np.hstack([pts, np.ones([len(pts), 1])]).T
        target_point = np.dot(m, pts).T
        return target_point

    h, w = image.shape[:2]
    c_x, c_y = w / 2, h / 2
    M = cv2.getRotationMatrix2D((c_x, c_y), angle, 1.0)
    cos, sin = np.abs(M[0, :2])
    # compute the new bounding dimensions of the image
    n_w = int(h * sin + w * cos)
    n_h = int(h * cos + w * sin)
    # adjust the rotation matrix to take into account translation
    M[0, 2] += n_w / 2 - c_x
    M[1, 2] += n_h / 2 - c_y

    # perform the actual rotation and return the image
    return cv2.warpAffine(image, M, (n_w, n_h), borderValue=(255, 255, 255)), rotate_points(points, M)