双11视频人物识别推荐

import cv2
import numpy as np

# 假设我们有一个预训练的人物识别模型
person_recognition_model = load_model('person_recognition_model.h5')

def detect_person_in_video(video_path):
    cap = cv2.VideoCapture(video_path)
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break
        # 对每一帧进行人物识别
        person_detected = person_recognition_model.predict(frame)
        if person_detected:
            print("人物检测到！")
            # 进行推荐逻辑
            recommend_related_videos()
    cap.release()

def recommend_related_videos():
    # 这里实现推荐逻辑，可以根据人物特征等信息进行推荐
    pass

detect_person_in_video('example_video.mp4')