双11敏感视频审核购买

import cv2
import numpy as np

def detect_sensitive_content(video_path):
    cap = cv2.VideoCapture(video_path)
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break
        # 这里可以添加具体的敏感内容检测算法，例如肤色检测、暴力行为识别等
        # 示例：简单的肤色检测
        hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
        lower_skin = np.array([0, 20, 70], dtype=np.uint8)
        upper_skin = np.array([20, 255, 255], dtype=np.uint8)
        mask = cv2.inRange(hsv, lower_skin, upper_skin)
        if np.sum(mask) > 100000:  # 阈值可根据实际情况调整
            print("潜在敏感内容检测到！")
            return True
    cap.release()
    return False

# 使用示例
video_path = "path_to_your_video.mp4"
if detect_sensitive_content(video_path):
    print("该视频包含敏感内容，需要进一步人工审核。")
else:
    print("视频内容正常。")