利用Tensorflow Api和Opencv实现视频对象的裁剪

import tensorflow as tf
import cv2

model = tf.keras.applications.MobileNetV2(weights='imagenet')

video_capture = cv2.VideoCapture('input_video.mp4')
fps = video_capture.get(cv2.CAP_PROP_FPS)
frame_width = int(video_capture.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(video_capture.get(cv2.CAP_PROP_FRAME_HEIGHT))
output_video = cv2.VideoWriter('output_video.mp4', cv2.VideoWriter_fourcc(*'mp4v'), fps, (frame_width, frame_height))

while video_capture.isOpened():
    ret, frame = video_capture.read()
    if not ret:
        break
    
    # 对帧进行对象检测
    # 使用TensorFlow模型进行对象检测
    # 对检测到的对象进行裁剪
    
    # 将裁剪后的帧写入输出视频
    output_video.write(frame)

video_capture.release()
output_video.release()