百度飞桨 OCR识别代码

import warnings import time import cv2 as cv import paddlehub as hub # Load the image img = cv.imread("1.jpg") height, width, channels = img.shape imglist = [img] ocr = hub.Module(name="ch_pp-ocrv3", enable_mkldnn=True)  # mkldnn acceleration is only effective on CPU start_time = time.time() result = ocr.recognize_text(images=imglist) end_time = time.time() elapsed_time = end_time - start_time print(f"执行时间: {elapsed_time} seconds") for data in result[0]['data']:     text = data['text']     confidence = data['confidence']     if confidence > 0.85:         points = data['text_box_position']         left = min(point[0] for point in points)         top = min(point[1] for point in points)         right = max(point[0] for point in points)         bottom = max(point[1] for point in points)         print(f"Text: {text}, Box: ({left}, {top}), ({right}, {bottom})")         cv.rectangle(img, (left, top), (right, bottom), (0,0, 255), 2)         cv.putText(img, text, (left, top - 10), cv.FONT_HERSHEY_SIMPLEX, 2, (0, 0, 255), 2) resize_img = cv.resize(img, [width // 4, height // 4]) cv.imwrite("result.jpg", resize_img) cv.imshow("Result",resize_img) cv.waitKey(0) cv.destroyAllWindows() print(result)  

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