Python常用视频编辑操作——读取与保存视频、更改帧数、拼接视频、视频语音合并、视频与图像互转等

1.更改视频帧数

降低视频帧数，简单的操作只能降低视频帧数，如果要增加视频帧数，那就要使用深度学习进行插帧处理：

import cv2 from moviepy.editor import * def change_fps(inpt_path,output_path,fps): # 加载视频 video = VideoFileClip(inpt_path) # 将帧率降低为15帧/秒 new_video = video.set_fps(fps) # 保存为新的文件 new_video.write_videofile(output_path, codec="libx264") def change_fps_dir(video_dir,fps): file_list = os.listdir(video_dir) for file in file_list: # 使用os.path.basename()获取文件名（包括后缀） file_name = os.path.basename(file) out_name = "F" + file_name input = os.path.join(video_dir,file_name) output = os.path.join(video_dir,out_name) change_fps(input,output,fps) 2.把视频拆分成帧保存 def split_video(video_path,save_path): # 创建输出目录 os.makedirs(save_path, exist_ok=True) # 打开视频文件 cap = cv2.VideoCapture(video_path) frame_count = 0 # 读取视频帧并保存为图像 while True: ret, frame = cap.read() if not ret: break # 生成输出图像文件名 frame_filename = os.path.join(save_path, f'{frame_count:05d}.jpg') frame_count += 1 # 保存帧图像 cv2.imwrite(frame_filename, frame) # 释放视频文件 cap.release() print(f"总共保存了 {frame_count} 帧图像") 3.把拆分图像合成视频 def img_video_merge(img_dir,video_path,frame_rate): file_list = os.listdir(img_dir) cv_src = cv2.imread(os.path.join(img_dir,file_list[0])) fourcc = cv2.VideoWriter_fourcc(*'mp4v') # 使用H.264编解码器 height, width, channels = cv_src.shape # 帧速率和帧大小 frame_size = (width, height) # 创建VideoWriter对象 out = cv2.VideoWriter(video_path, fourcc, frame_rate, frame_size) for file in file_list: cv_dst = cv2.imread(os.path.join(img_dir, file)) out.write(cv_dst) 4.提取视频的音轨 def video_to_audio(video_path,audio_path): video = VideoFileClip(video_path) audio = video.audio audio_temp = "temp.wav" if os.path.exists(audio_path): os.remove(audio_temp) audio.write_audiofile(audio_temp) audio.close() if os.path.exists(audio_path): os.remove(audio_path) cmd = "ffmpeg -i " + audio_temp + " -ac 1 -ar 16000 " + audio_path subprocess.run(cmd,shell=True) 5.视频与音轨合并 from moviepy.editor import VideoFileClip, AudioFileClip # 读取视频和音轨 video_clip = VideoFileClip('video.mp4') # 替换为您的视频文件 audio_clip = AudioFileClip('audio.mp3') # 替换为您的音轨文件 # 将音轨添加到视频 video_clip = video_clip.set_audio(audio_clip) # 保存合并后的视频 output_video_path = 'output_video.mp4' video_clip.write_videofile(output_video_path, codec='libx264') # 关闭视频和音轨文件 video_clip.close() audio_clip.close() print(f"已将音轨成功合并到视频并保存为 {output_video_path}") 6.视频合并 def image_stitching(images,stack): height, width, channels = images[0].shape # 遍历所有图像，如果尺寸不同，将它们调整为相同的尺寸 for i in range(1, len(images)): if images[i].shape != (height, width, channels): images[i] = cv2.resize(images[i], (width, height)) if stack == 0: result = np.hstack(images) else: result = np.vstack(images) return result #stack为0是水平合并，等于1是垂直合并 def video_stitching(video_path_1,video_path_2,output_path,stack): cap1 = cv2.VideoCapture(video_path_1) cap2 = cv2.VideoCapture(video_path_2) if stack == 0: frame_width = int(cap1.get(3)) * 2 frame_height = int(cap1.get(4)) elif stack == 1: frame_width = int(cap1.get(3)) frame_height = int(cap1.get(4)) * 2 fourcc = cv2.VideoWriter_fourcc('m', 'p', '4', 'v') out = cv2.VideoWriter(output_path, fourcc, 25, (frame_width, frame_height)) while (True): ret1, frame1 = cap1.read() ret2, frame2 = cap2.read() if ret1 and ret2 == True: images = [frame1, frame2] dst = image_stitching(images,stack) out.write(dst) else: break cap1.release() cap2.release() out.release()