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- import os
- import subprocess
- # 视频绝对路径
- video_path = r"E:\BaiduNetdiskDownload\gaussian-splatting\gaussian-splatting\data\table\table.mp4"
- # 切分帧数,每秒多少帧
- fps = 2
- # 获取当前工作路径
- current_path = os.getcwd()
- # 上一级文件夹所在路径
- folder_path = os.path.dirname(video_path)
- # 图片保存路径
- images_path = os.path.join(folder_path, 'input')
- os.makedirs(images_path, exist_ok=True)
- ffmpeg_path = os.path.join(current_path, 'external', r'ffmpeg/bin/ffmpeg.exe')
- # 脚本运行
- # 视频切分脚本
- command = f'{ffmpeg_path} -i {video_path} -qscale:v 1 -qmin 1 -vf fps={fps} {images_path}\\%04d.jpg'
- subprocess.run(command, shell=True)
- # COLMAP估算相机位姿
- command = f'python convert.py -s {folder_path}'
- subprocess.run(command, shell=True)
- # 模型训练脚本,模型会保存在output路径下
- # command = f'python train.py -s {folder_path}'
- # subprocess.run(command, shell=True)
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