You can also extract frames from videos using ImageIO, which is both faster and more readable than via OpenCV, so that could be worth a look, too. ``` import imageio.v3 as iio for idx, frame in enumerate(iio.imiter("path/to/video.mp4")): ...
并使用get_frame方法逐帧读取。1from moviepy.editor import VideoFileClip23video = VideoFileClip('video.mp4')45for t, frame in video.iter_frames():6# 对frame进行处理78video.close()这些方法都可以用于读取视频文件，选择哪种方法根据自己的需求和习惯进行选择。
( 'Scene %2d: Start %s / Frame %d, End %s / Frame %d' % ( i + 1, scene[0].get_timecode(), scene[0].get_frames(), scene[1].get_timecode(), scene[1].get_frames(),)) finally: video_manager.release() return shijian_list #将时间字符转为毫秒数 #字符形式:00:00:06.867 def...
sudo apt-getinstall python-imaging 二、Image模块 Image模块是在Python PIL图像处理中常见的模块,对图像进行基础操作的功能基本都包含于此模块内。如open、save、conver、show…等功能。 open类 代码语言:javascript 复制 Image.open(file)⇒ image Image.open(file,mode)⇒ image ...
问使用OpenCV的VideoCapture和Python从视频中抓取缓慢的图像(帧)EN版权声明：本文内容由互联网用户自发贡献...
out_stream_video = container_out.add_stream("mpeg4", rate=25)forpacketincontainer.demux(): frames = packet.decode()iflen(frames) ==0:continueframe = frames[0]try:iftype(frame) == av.video.frame.VideoFrame:forpinout_stream_video.encode(frame):# packet.stream = out_stream_videocontainer...
importffmpegdefget_frame_count(video_path):probe=ffmpeg.probe(video_path)video_info=next(streamforstreaminprobe['streams']ifstream['codec_type']=='video')frame_count=int(video_info['nb_frames'])returnframe_count video_path="path/to/your/video.mp4"frame_count=get_frame_count(video_path)prin...
frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) duration = frame_count / fps self.result_label.config(text="帧率: {:.2f} 帧数: {} 时间长度: {:.2f}秒".format(fps, frame_count, duration), font=("Arial", 14)) def play_video(self): ...
VideoClip的子类还有DataVideoClip、UpdatedVideoClip这2个。 二、Clip类的属性 2.1、start属性 start属性用于多个子剪辑拼接成一个剪辑的场景,每个子剪辑通过设置自己的start来指定自己在合成后的剪辑中的播放开始时间,该属性通过方法set_start来设置。 set_start...
import os.path as osp import os import cv2 def extract_frames(input_video, output_folder): # 打开视频文件 video = cv2.VideoCapture(input_video) # 确定视频的帧率 fps = video.get(cv2.CAP_PROP_FPS) print(fps) # 确定视频的总帧数 total_frames = int(video.get(cv2.CAP_PROP_FRAME_COUNT))...