AI视频审核双11促销活动

import cv2
import tensorflow as tf

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

def preprocess_video(video_path):
    cap = cv2.VideoCapture(video_path)
    frames = []
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break
        frames.append(frame)
    cap.release()
    return frames

def detect_violence(frames):
    predictions = []
    for frame in frames:
        # 预处理帧数据
        processed_frame = preprocess_image(frame)
        # 进行预测
        prediction = model.predict(processed_frame)
        predictions.append(prediction)
    return predictions

def preprocess_image(image):
    # 调整大小、归一化等预处理步骤
    image = cv2.resize(image, (224, 224))
    image = image / 255.0
    image = tf.expand_dims(image, 0)
    return image

# 示例使用
video_path = 'example_video.mp4'
frames = preprocess_video(video_path)
predictions = detect_violence(frames)

for pred in predictions:
    if pred[0] > 0.5:  # 假设阈值为0.5
        print("检测到违规内容")
    else:
        print("内容合规")