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视频较长，分辨率较大，这个效果很好，不耗用内存 ffmpeg

imageio，适合视频较短

视频较长，分辨率较大，这个效果很好，不耗用内存 ffmpeg

import subprocess
import glob
import os
from natsort import natsorted
base_dir = r'C:\Users\Administrator\Videos\shuiyin\result'
output_file = r'output_shuiyin.mp4'
video_paths = glob.glob(base_dir + '/*.mp4')
video_paths = natsorted(video_paths)
with open('file_list.txt', 'w') as f:for file in video_paths:f.write(f"file '{file}'\n")
ffmpeg_command = ['ffmpeg','-f', 'concat',           # 指定拼接模式'-safe', '0',             # 允许绝对路径'-i', 'file_list.txt',    # 输入的文件列表'-c:v', 'libx264',        # 使用 libx264 编码器'-c:a', 'aac',            # 使用 aac 编码音频'-strict', 'experimental',# 使用实验性编码output_file               # 输出文件路径
]
subprocess.run(ffmpeg_command, check=True)print(f"视频拼接完成，输出文件：{output_file}")

imageio，适合视频较短

import glob
from natsort import natsorted
from moviepy.editor import VideoFileClip, concatenate_videoclips
import glob
import os.pathfrom natsort import natsorted
import cv2
import imageioif __name__ == '__main__':#内存base_dir =r"C:\Users\Administrator\Videos\shuiyin\0127"base_dir =r'C:\Users\Administrator\Videos\shuiyin\result'output_path = "pinjie_shuiyin.mp4"video_paths =glob.glob(base_dir +'/*.mp4')video_paths=natsorted(video_paths)imgs=[]res = []for file in video_paths:cap_a = cv2.VideoCapture(file)  # 打开视频Bfps = cap_a.get(cv2.CAP_PROP_FPS)frame_count = 0print(file)while True:ret, frame_a = cap_a.read()if not ret:break  # 如果没有读取到帧，则跳出循环res.append(cv2.cvtColor(frame_a, cv2.COLOR_BGR2RGB))frame_count += 1  # 释放视频资源cap_a.release()imageio.mimsave(output_path, res, "mp4", fps=fps, macro_block_size=None)