python+pyhyper实现识别图片中的车牌号思路详解

import cv2
from hyperlpr import HyperLPR_plate_recognition

if __name__ == '__main__':
    image = cv2.imread("one.jpeg")
    result = HyperLPR_plate_recognition(image)

 mat_,inlier = cv2.estimateAffine2D(org_pts, target_pts)

import cv2
import numpy as np
from PIL import ImageFont, Image, ImageDraw
from hyperlpr import HyperLPR_plate_recognition

if __name__ == '__main__':
    image = cv2.imread("two.jpeg")
    result = HyperLPR_plate_recognition(image)
    print(result)
    # 标记车牌号
    if result:
        for index, item in enumerate(result):
            # 车牌号
            car_code = item[0]
            # 可信度
            conf = item[1]
            # 车牌框左上角坐标
            pt1 = (item[2][0], item[2][1])
            # 车牌框右下角坐标
            pt2 = (item[2][2], item[2][3])
            # 绘制车牌框
            cv2.rectangle(image, pt1=pt1, pt2=pt2, color=(255, 0, 0), thickness=3)
            # 设置需要显示的字体
            font_path = 'fonts/simsun.ttc'
            font = ImageFont.truetype(font_path, size=40, index=1)
            image = Image.fromarray(image)
            draw = ImageDraw.Draw(image)
            # 绘制文字信息
            draw.text((pt1[0] + 30, pt1[1] - 30), car_code, font=font, fill=(0, 0, 255))
            image = np.array(image)
        # cv2.namedWindow('image', 0)
        # cv2.imshow('image', image)
        # cv2.waiTKEy(100000)
        cv2.imwrite('d:/two.jpeg', image)