人脸检测，openCV 上放置中文

#!/usr/bin/env python
# !_*_ coding:utf-8 _*_

import face_recognition
import cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont


def cv2ImgAddText(img, text, left, top, textColor=(0, 255, 0), textSize=20):
    if (isinstance(img, np.ndarray)):
        pil_img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
        draw = ImageDraw.Draw(pil_img)
        # 字体默认在 C:\Windows\Fonts 下面，要鼠标右键查看属性
        # fontStyle = ImageFont.truetype(‘simsun.ttc‘, textSize, encoding=‘utf-8‘)
        fontStyle = ImageFont.truetype(‘msyh.ttc‘, textSize, encoding=‘utf-8‘)
        draw.text((left, top), text, textColor, font=fontStyle)
        return cv2.cvtColor(np.asarray(pil_img), cv2.COLOR_RGB2BGR)


face_image = face_recognition.load_image_file(‘imgs/qsz001.jpg‘)
# face_recognition.load_image_file 读出的文件是RGB,而后面需要在cv2 上画框，cv2是BGR 的np.ndarray的数组文件
face_image = cv2.cvtColor(face_image, cv2.COLOR_RGB2BGR)
face_locations = face_recognition.face_locations(face_image)
for face_location in face_locations:
    print(face_location)
    top, right, bottom, left = face_location
    cv2.rectangle(face_image, (left, top), (right, bottom), (0, 255, 0), 2)
    face_image = cv2ImgAddText(face_image, "邱淑贞", left, bottom + 5, (255, 0, 0), 20)

    cv2.imshow("image", face_image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()