视频智能分析促销

import cv2
import tensorflow as tf

# 加载预训练模型
model = tf.keras.applications.MobileNetV2(weights='imagenet')

# 打开摄像头
cap = cv2.VideoCapture(0)

while True:
    ret, frame = cap.read()
    if not ret:
        break

    # 预处理图像
    img = cv2.resize(frame, (224, 224))
    img = tf.keras.applications.mobilenet_v2.preprocess_input(img)
    img = tf.expand_dims(img, 0)

    # 进行预测
    predictions = model.predict(img)
    decoded_predictions = tf.keras.applications.mobilenet_v2.decode_predictions(predictions, top=3)[0]

    # 显示结果
    for pred in decoded_predictions:
        label = pred[1]
        confidence = pred[2]
        cv2.putText(frame, f"{label}: {confidence:.2f}", (10, 30), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)

    cv2.imshow('Object Detection', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()