涉暴视频审核搭建

import cv2
import numpy as np
from tensorflow.keras.models import load_model

# 加载预训练的暴力检测模型
model = load_model('violence_detection_model.h5')

def preprocess_frame(frame):
    # 将帧转换为灰度图像并进行缩放
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    resized = cv2.resize(gray, (224, 224))
    normalized = resized / 255.0
    input_frame = np.expand_dims(normalized, axis=0)
    return input_frame

def detect_violence(frame):
    processed_frame = preprocess_frame(frame)
    prediction = model.predict(processed_frame)
    return prediction[0][0] > 0.5  # 假设阈值为0.5

cap = cv2.VideoCapture('test_video.mp4')

while cap.isOpened():
    ret, frame = cap.read()
    if not ret:
        break
    
    if detect_violence(frame):
        print("Violent content detected!")
        # 可以在这里添加进一步的处理逻辑，如保存违规视频片段等

cap.release()
cv2.destroyAllWindows()