开源ocr 识别手机截图定位

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# coding: utf-8# import uiautomator2 as u2 import time from tqdm import tqdm from loguru import logger from cnocr import CnOcr     def calculate_centroid(points):     if len(points) == 0:         return None       num_points = len(points)     sum_x = sum(point[0] for point in points)     sum_y = sum(point[1] for point in points)       centroid_x = sum_x / num_points     centroid_y = sum_y / num_points     print(pos_format(centroid_x,centroid_y))     return (centroid_x, centroid_y)     # Example usage def pos_format(x,y):     pos_w = "{:.4f}".format(x/width)     pos_y = "{:.4f}".format(y/hight)     return (pos_w,pos_y)     if __name__ == '__main__':     d = u2.connect("5f83933a")     image = d.screenshot()     image.save("home.jpg")     width = image.width     hight  = image.height     img_fp = 'home.jpg'     ocr = CnOcr()  # 所有参数都使用默认值     out = ocr.ocr(image)     for line in out:         print(f"{calculate_centroid(line['position'])} --- {line['text']} --- {line['score']}")     print(out)