汽车相关识别年末促销

import cv2
import pytesseract

def recognize_plate(image_path):
    image = cv2.imread(image_path)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    _, binary = cv2.threshold(gray, 150, 255, cv2.THRESH_BINARY_INV)
    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 w > 100 and h > 30:
            plate = binary[y:y+h, x:x+w]
            text = pytesseract.image_to_string(plate, config='--psm 7')
            return text.strip()
    
    return "未找到车牌"

# 使用示例
plate_number = recognize_plate('path_to_image.jpg')
print(f"识别到的车牌号码: {plate_number}")