如何对给定视频的每一帧应用对象检测器？

import cv2
import torch
from yolov5 import YOLOv5

# 加载预训练的YOLOv5模型
model = YOLOv5("yolov5s.pt")

# 打开视频文件
video = cv2.VideoCapture("input_video.mp4")

# 获取视频的宽度和高度
width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT))

# 创建一个VideoWriter对象以保存输出视频
fourcc = cv2.VideoWriter_fourcc(*'mp4v')
out = cv2.VideoWriter("output_video.mp4", fourcc, 30.0, (width, height))

while True:
    # 读取视频的下一帧
    ret, frame = video.read()

    if not ret:
        break

    # 将帧传递给YOLOv5模型进行对象检测
    results = model.predict(frame)

    # 在原始帧上绘制检测结果
    results.render(frame)

    # 显示处理后的帧
    cv2.imshow("Object Detection", frame)

    # 将处理后的帧保存到输出视频文件
    out.write(frame)

    # 按'q'键退出循环
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# 释放资源
video.release()
out.release()
cv2.destroyAllWindows()