python常用脚本2——opencv读写中文路径

import cv2
import numpy as np
from PIL import Imagedef imread_cn(path: str, flags=cv2.IMREAD_COLOR):"""用 PIL 读含中文路径的图片，返回 OpenCV ndarray"""if path is None:raise ValueError('path 不能为 None')pil_img = Image.open(path)if pil_img.mode != 'RGB':pil_img = pil_img.convert('RGB')img = np.array(pil_img)if flags == cv2.IMREAD_GRAYSCALE:img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)elif flags == cv2.IMREAD_COLOR:img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)return imgdef imwrite_cn(path: str, img: np.ndarray, params=None):"""把 OpenCV ndarray 用 PIL 保存到含中文路径"""if path is None or img is None:raise ValueError('path 和 img 都不能为 None')if not isinstance(img, np.ndarray):raise TypeError('img 必须是 numpy.ndarray')if len(img.shape) == 2:rgb = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)else:rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)pil_img = Image.fromarray(rgb)save_kwargs = {}if params and len(params) >= 2:key, val = params[0], params[1]if key == cv2.IMWRITE_JPEG_QUALITY:save_kwargs['quality'] = valelif key == cv2.IMWRITE_PNG_COMPRESSION:save_kwargs['compress_level'] = valpil_img.save(path, **save_kwargs)return Trueif __name__ == "__main__":# 1. 读取含中文路径的图片img = imread_cn(r'C:\测试\图片\小猫.png', cv2.IMREAD_COLOR)print('读入成功，shape =', img.shape)# 2. 随便做点 OpenCV 处理，例如转灰度+高斯模糊gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)blur = cv2.GaussianBlur(gray, (15, 15), 0)# 3. 把结果保存到新的中文路径save_ok = imwrite_cn(r'C:\测试\结果\模糊后.jpg', blur,[cv2.IMWRITE_JPEG_QUALITY, 90])print('保存成功' if save_ok else '保存失败')

总结：

        opencv读取和写入的时候如果遇到中文路径的问题，可以使用PIL读取或者写入图片，但是由于PIL需要的是RGB格式，而opencv需要的是BGR格式，所以用PIL读取之后需要转成BGR才能被opencv使用，而要想使用PIL写入opencv图片，则要将BGR格式的图片转为RGB。