官网
使用matplotlib — moviepy-cn 文档
案例
from moviepy.editor import *from moviepy.video.fx import resizefrom PIL import Imagefile1=r"D:\xy_fs_try\video_to_deal\spider_video\file\vedeo3.mp4"file2=r"D:\xy_fs_try\video_to_deal\spider_video\file\vedeo4.mp4"file4=r'D:\xy_fs_try\video_to_deal\spider_video\file\qianlong.mp4'file3=r'D:\xy_fs_try\video_to_deal\spider_video\file\source.mp4'file5=r'D:\xy_fs_try\video_to_deal\spider_video\file\source1.mp4'file6=r'D:\xy_fs_try\video_to_deal\spider_video\file\source2.mp4'def extract_frames_on_original(video_path, output_path, fps=1):original_clip = VideoFileClip(video_path)frames = original_clip.iter_frames(fps=fps)extracted_clips = []for frame in frames:extracted_clip = VideoFileClip(video_path).set_duration(1/fps).set_start(len(extracted_clips) / fps)extracted_clips.append(extracted_clip)# 将原视频和抽帧视频拼接起来final_clip = clips_array([[original_clip], [clips_array([extracted_clips])]])final_clip.write_videofile(output_path, codec='libx264')# 使用示例# video_file = r"D:\xy_fs_try\video_to_deal\spider_video\file\vedeo3.mp4"# 替换为你的视频文件路径# output_video = "./extracted_video.mp4"# 替换为你想要保存的抽帧后的视频路径# extract_frames_on_original(video_file, output_video, fps=1)# 抽取帧并生成视频，每秒一帧def concatenate_videos(video1_path, video2_path, output_path):'''视频拼接'''audio=VideoFileClip(file3).audiovideo = VideoFileClip(file3).without_audio()video2 = VideoFileClip(file5).without_audio()video3 = VideoFileClip(file6).without_audio()re_video=video.subclip(1,25)ba_video=video.subclip(26,56.7)# # 拼接两个视频剪辑final_clip = concatenate_videoclips([re_video, video2,video3,ba_video],method='compose')final_clip=final_clip.set_audio(audio)final_clip.write_videofile(output_path, codec='libx264')final_clip.reader.close()final_clip.audio.reader.close_proc()video1_file = file3# 替换为第一个视频文件路径video2_file = file4# 替换为第二个视频文件路径output_video = "./concatenated_video.mp4"# 替换为输出的合并视频路径concatenate_videos(video1_file, video2_file, output_video)# 将两个视频拼接成一个新视频总结
moviepy使用的还是比较方便的，比起opencv需要自己去遍历处理，视频拼接原理与列表切分原理是一样的，灵活性比较高，内置一些其他的函数叠加，使用还是比较方便的