商品识别报价

import cv2
import numpy as np
from tensorflow.keras.models import load_model

# 加载预训练的商品识别模型
model = load_model('path_to_model.h5')

def preprocess_image(image):
    # 图像预处理逻辑
    processed_image = ...
    return processed_image

def recognize_product(image):
    processed_image = preprocess_image(image)
    predictions = model.predict(processed_image)
    product_id = np.argmax(predictions)
    return product_id

def get_price(product_id):
    # 查询数据库获取商品价格
    price = ...
    return price

def main():
    cap = cv2.VideoCapture(0)  # 打开摄像头
    while True:
        ret, frame = cap.read()
        if not ret:
            break
        product_id = recognize_product(frame)
        price = get_price(product_id)
        print(f"识别到的商品ID: {product_id}, 报价: {price}")
        # 显示结果等其他逻辑...

if __name__ == "__main__":
    main()