敏感视频审核限时特惠

import tensorflow as tf
from moviepy.editor import VideoFileClip

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

def check_video_sensitivity(video_path):
    clip = VideoFileClip(video_path)
    frames = [frame for frame in clip.iter_frames()]
    
    # 对每一帧进行预测
    predictions = []
    for frame in frames:
        processed_frame = preprocess_image(frame)  # 假设有一个预处理函数
        prediction = model.predict(processed_frame)
        predictions.append(prediction)
    
    # 综合所有帧的结果
    average_prediction = sum(predictions) / len(predictions)
    
    if average_prediction > THRESHOLD:  # THRESHOLD 是一个预设的阈值
        return "Sensitive content detected!"
    else:
        return "Content is safe."

# 使用示例
result = check_video_sensitivity('example_video.mp4')
print(result)