汽车相关识别大促

import cv2
import pytesseract

def recognize_license_plate(image_path):
    # 读取图像
    image = cv2.imread(image_path)
    
    # 转换为灰度图
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    # 应用二值化处理
    _, binary = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY_INV)
    
    # 查找轮廓
    contours, _ = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    
    for contour in contours:
        x, y, w, h = cv2.boundingRect(contour)
        aspect_ratio = w / float(h)
        
        if 2 < aspect_ratio < 5 and 20 < w < 200 and 10 < h < 100:
            plate_image = binary[y:y+h, x:x+w]
            plate_text = pytesseract.image_to_string(plate_image, config='--psm 7')
            print("识别的车牌号:", plate_text.strip())

# 使用示例
recognize_license_plate('path_to_your_image.jpg')