涉暴视频审核怎么搭建

import cv2
import tensorflow as tf

# 加载预训练模型
model = tf.keras.models.load_model('violence_detection_model.h5')

def detect_violence(video_path):
    cap = cv2.VideoCapture(video_path)
    while cap.isOpened():
        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)
        # 预测
        predictions = model.predict(img)
        if predictions[0][0] > 0.5:  # 假设阈值为0.5
            print("Violent content detected!")
        else:
            print("Safe content.")
    cap.release()

# 使用示例
detect_violence('test_video.mp4')