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XZNSH-Code-AI/tool/Video-framing.py

44 lines
1.2 KiB
Python

#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
@File : prediction.py
@Time : 2023/07/26
@Author : Fpt
'''
import cv2
from ultralytics import YOLO
import config
def process_video():
# 加载 YOLOv8 模型
model = YOLO(config.model_file_path)
cap = cv2.VideoCapture(config.input_video_path)
# 获取原始视频的参数
frame_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
frame_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fps = int(cap.get(cv2.CAP_PROP_FPS))
codec = cv2.VideoWriter_fourcc(*'XVID')
# 创建输出视频文件的 VideoWriter 对象
out = cv2.VideoWriter(config.output_video_path, codec, fps, (frame_width, frame_height))
# 遍历视频帧
while cap.isOpened():
success, frame = cap.read()
if success:
# 对帧运行 YOLOv8 推理
results = model(frame)
annotated_frame = results[0].plot()
out.write(annotated_frame)
else:
break
# 释放视频捕获对象和输出视频对象
cap.release()
out.release()
cv2.destroyAllWindows()
if __name__ == '__main__':
process_video()