ffmpeg -i my_video.mp4 -filter_complex "select=gt(scene\,0.01)" "extracted_imgs/%04d.jpg" -vsync drop -vb 20M
在这里，您可以更改 0.01 调整如何更敏感或更加粗略的框架。
ffmpeg tool can do this by differencing frames in the video. However, for this to work, you need to have a video consisting only of slides, or you need to crop a part of whole video frame if the video has a moving object, like a person's camera, so only the slide is visible. Otherwise, ffmpeg can capture the whole video frames.
Install ffmpeg:
sudo apt install ffmpeg
Then, capture differentiated frames into extracted_imgs folder, as an example:
ffmpeg -i my_video.mp4 -filter_complex "select=gt(scene\,0.01)" "extracted_imgs/%04d.jpg" -vsync drop -vb 20M
Here, you can change 0.01 to adjust how to difference the frames, more sensitively or more coarsely.
You can give https://reccap.it a shot. It doesn't directly output a slide deck file. But it's pretty good at detecting every slide and snapshotting it.
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ffmpeg工具可以通过在视频中区分框架来做到这一点。但是，要使此工作，您需要只有一个由幻灯片组成的视频，或者如果视频具有移动对象（例如人的相机），则需要裁剪整个视频框架的一部分，因此只能看到幻灯片。否则，ffmpeg可以捕获整个视频帧。安装FFMPEG：
然后，将差异化框架捕获到
extract_imgs文件夹中，例如：在这里，您可以更改
0.01调整如何更敏感或更加粗略的框架。ffmpegtool can do this by differencing frames in the video. However, for this to work, you need to have a video consisting only of slides, or you need to crop a part of whole video frame if the video has a moving object, like a person's camera, so only the slide is visible. Otherwise,ffmpegcan capture the whole video frames.Install ffmpeg:
Then, capture differentiated frames into
extracted_imgsfolder, as an example:Here, you can change
0.01to adjust how to difference the frames, more sensitively or more coarsely.您可能想看看U2Docs。 https://www.u2docs.com 它是通过比较视频框架并捕获它们来实现的。
You might want to take a look at u2Docs. https://www.u2docs.com It was implemented by comparing frames from video and capturing them.
您可以给出 https://reccap.it 它不会直接输出幻灯片甲板文件。但这非常擅长检测每张幻灯片并捕捉它。
这是一个示例：
You can give https://reccap.it a shot. It doesn't directly output a slide deck file. But it's pretty good at detecting every slide and snapshotting it.
Here is an example: https://reccap.it/recaps/open-pretrained-transformers-susan-zhang-stanford-mlsys-77-fd41161abaed477787bff4393c4d98b5