旋转后的图像完全包含旋转前的内容

from math import *
import cv2
def rotate_image_new(image, degree):
    '''
    :param image:
    :param angle:顺时针旋转的角度
    :return:
    '''
    # dividing height and width by 2 to get the center of the image
    height, width = image.shape[:2]

    heightNew = int(width * fabs(sin(radians(degree))) + height * fabs(cos(radians(degree))))
    widthNew = int(height * fabs(sin(radians(degree))) + width * fabs(cos(radians(degree))))

    matRotation = cv2.getRotationMatrix2D((width / 2, height / 2), degree, 1)
    matRotation[0, 2] += (widthNew - width) / 2  # 重点在这步，目前不懂为什么加这步
    matRotation[1, 2] += (heightNew - height) / 2  # 重点在这步

    imgRotation = cv2.warpAffine(image, matRotation, (widthNew, heightNew), borderValue=(255, 255, 255))

    return imgRotation

旋转后可能丢失部分图像信息

如果 if_fill_white 参数为 True，则填充边界为白色；否则，边界将保持原始图像的值。

这种方法可以更快速地旋转图像，但可能会导致旋转后的图像包含额外的空白区域或丢失部分图像信息。

def rotate_image( image, angle):
    '''
    :param image:
    :param angle:顺时针旋转的角度
    :return:
    '''
    # dividing height and width by 2 to get the center of the image
    height, width = image.shape[:2]
    # get the center coordinates of the image to create the 2D rotation matrix
    center = (width / 2, height / 2)

    # using cv2.getRotationMatrix2D() to get the rotation matrix
    rotate_matrix = cv2.getRotationMatrix2D(center=center, angle=angle, scale=1)

    # rotate the image using cv2.warpAffine
    rotated_image = cv2.warpAffine(src=image, M=rotate_matrix, dsize=(width, height), borderValue= (255, 255,255))
    return rotated_image