python 用hyperlpr3 进行车牌识别

news/2025/2/19 8:04:34/

开源项目

https://github.com/zeusees/HyperLPR
下面按装相关的模块

pip install opencv-python
pip install hyperlpr3
pip install cvlib

代码

在这里插入图片描述

download_image_from_url 将网上图片存本地。

import urllib.request
import cv2
import hyperlpr3 as lpr3
import matplotlib.pyplot as plt
import tempfile
import osfont_path = 'simhei.ttf'# 加载字体文件
font = cv2.FONT_HERSHEY_SIMPLEXdef download_image_from_url(url):with urllib.request.urlopen(url) as url_obj:data = url_obj.read()with tempfile.NamedTemporaryFile(delete=False) as tmp_file:tmp_file.write(data)return tmp_file.namedef get_car_info():url = "https://pics.jjsos.cn/FgHtNacqa808NZTRklrWJNrmryiA"image_path = download_image_from_url(url)catcher = lpr3.LicensePlateCatcher()image = cv2.imread(image_path)result = catcher(image)os.remove(image_path)if isinstance(result, list):result_list = []for item in result:license_plate = item[0]confidence = item[1]coordinates = item[3]x1, y1, x2, y2 = map(int, coordinates)cv2.rectangle(image, (x1, y1), (x2, y2), (255, 0, 255), 2)text = f"{license_plate} "# Use a specific font for Chinese characters (you can adjust the font size if needed)# cv2.putText(image, text, (x1, y1 - 10), font, 0.5, (255, 0, 255), 2)result_list.append({"license_plate": license_plate, "confidence": str(confidence)})plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))plt.show()cv2.waitKey(0)cv2.destroyAllWindows()vreturn = {"code": 0, "results": result_list}print(vreturn)return vreturnelse:license_plate = result[0]confidence = result[1]coordinates = result[3]x1, y1, x2, y2 = map(int, coordinates)cv2.rectangle(image, (x1, y1), (x2, y2), (255, 0, 255), 2)text = f"{license_plate} "# Use a specific font for Chinese characters (you can adjust the font size if needed)# cv2.putText(image, text, (x1, y1 - 10), font, 0.5, (255, 0, 255), 2)plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))plt.show()cv2.waitKey(0)cv2.destroyAllWindows()vreturn = {"code": 0, "license_plate": license_plate, "confidence": str(confidence)}print(vreturn)return vreturn# Call the function to get car information
get_car_info()