paddleocr是百度飞桨开源的轻量级文本识别模型，支持中英文，支持倾斜、竖排等多种方向文字识别

    1. #!/usr/bin/python3
    2. #!coding:utf-8
    3. import cv2
    4. from paddleocr import PaddleOCR
    6. class TextRecognizer(object):
    7.     def __init__(self):
    8.         self.roi = [(120, 120), (360, 240)]
    9.         # 支持 `ch`, `en`, `fr`, `german`, `korean`, `japan`
    10.         # --use_angle_cls true设置使用方向分类器识别180度旋转文字
    11.         self.ocr = PaddleOCR(use_angle_cls=False, lang='ch')
    13.     def detect(self, image, lang=None):
    14.         img = image[self.roi[0][1]:self.roi[1][1], 
    15.                     self.roi[0][0]:self.roi[1][0]]
    16.         result = self.ocr.ocr(image, cls=False)
    17.         print(result)
    18.         text = ''
    19.         for line in result:
    20.             text = text+line[1][0]+' '
    21.         return text
    25. if __name__ == '__main__':
    26.     recognizer = TextRecognizer()
    27.     Key_Esc = 27
    29.     cap = cv2.VideoCapture(0)
    30.     if not cap.isOpened():
    31.         print("Cannot open camera")
    32.         exit()
    33.     cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
    34.     cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)
    35.     while True:
    36.         # 逐帧捕获
    37.         ret, frame = cap.read()
    38.         # 显示原图或灰度图
    39.         cv2.imshow('frame', np.rot90(cv2.resize(frame, (320, 240))))
    40.         # cv2.imshow('gray', np.rot90(cv2.resize(gray,(320,240))))
    41.         # 按Esc键退出，不加这一句可能无法正常显示图像
    42.         if cv2.waitKey(1) == Key_Esc:
    43.             break
    44.     # 完成所有操作后，释放捕获器
    45.     cap.release()
    46.     cv2.destroyAllWindows()