AI剪辑试用

import cv2
import tensorflow as tf

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

def ai_edit_video(video_path):
    cap = cv2.VideoCapture(video_path)
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break
        # 预处理帧数据
        processed_frame = preprocess(frame)
        # 使用模型进行预测
        prediction = model.predict(processed_frame)
        # 根据预测结果决定是否保留该帧
        if should_keep_frame(prediction):
            cv2.imshow('Edited Video', frame)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    cap.release()
    cv2.destroyAllWindows()

def preprocess(frame):
    # 实现帧数据的预处理逻辑
    pass

def should_keep_frame(prediction):
    # 根据模型预测结果判断是否保留帧
    pass

ai_edit_video('example_video.mp4')