一、利用PIL

import PIL
from PIL import Image

def rotate_1(inputpath, outputpath, value):
    ''' 说明 ：将图片旋转任意角度值 picin : 输入图片路径 picout ： 输出图片路径 value ： 角度值 '''
    im1 = PIL.Image.open(inputpath)  # 打开图片路径1
    # 旋转value角度
    im2 = im1.rotate(270 + eval(str(value)))
    # im2.show()
    im2.save(outputpath)  # 保存路径

二、利用opencv

import cv2
import numpy as np
from math import *

def rotate(picin, picout, value):
    ''' 说明 ：将图片旋转任意角度值 picin : 输入图片路径 picout ： 输出图片路径 value ： 角度值 '''
    # img = cv2.imread("plane.jpg")
    img = Image.open(picin)
    img = np.array(img)
    height, width = img.shape[:2]

    degree = 270 + value
    # 旋转后的尺寸
    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
    matRotation[1, 2] += (heightNew - height) / 2  # 重点在这步

    imgRotation = cv2.warpAffine(img, matRotation, (widthNew, heightNew), borderValue=(255, 255, 255))
    cv2.imwrite(picout, imgRotation)