vidgear
moviepy
vidgear | moviepy | |
---|---|---|
14 | 45 | |
3,347 | 12,438 | |
- | - | |
8.8 | 4.8 | |
2 months ago | about 2 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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vidgear
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Why HTTP/3 is eating the world
My experience that played out over the last few weeks lead me to a similar belief, somewhat. For rather uninteresting reasons I decided I wanted to create mp4 videos of an animation programmatically, from scratch.
The first solution suggested when googling around is to just create all the frames, save them to disk, and then let ffmpeg do its thing from there. I would have just gone with that for a one-off task, but it seems like a pretty bad solution if the video is long, or high res, or both. Plus, what I really wanted was to build something more "scalable/flexible".
Maybe I didn't know the right keywords to search for, but there really didn't seem to be many options for creating frames, piping them straight to an encoder, and writing just the final video file to disk. The only one I found that seemed like it could maybe do it the way I had in mind was VidGear[1] (Python). I had figured that with the popularity of streaming, and video in general on the web, there would be so much more tooling for these sorts of things.
I ended up digging way deeper into this than I had intended, and built myself something on top of Membrane[2] (Elixir)
[1] https://abhitronix.github.io/vidgear/
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Need help to choose toolchain for setting up a video streaming server on my PC.
I've been googling and reading for a while but I'm very unsure about which tools I need, which tools will help me achieve what I want the easiest way. What about (pylivestream)[https://pypi.org/project/pylivestream/] for example? Will this do the job for me? What about a lower level approach including (pyopencv)[https://pypi.org/project/opencv-python/]? What about a higher level approach using (vidgear)[https://github.com/abhiTronix/vidgear], which seems promising but I don't feel confident in assessing if it's the tool I really need?
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Which not so well known Python packages do you like to use on a regular basis and why?
Vidgear and new deffcode library are my best. I bet you don't know none of them. But they're pretty awesome when it comes to video-processing and stuff.
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Deffcode: FFmpeg decoding made easy with python.
Yes, fortunately I already resolved it in my previous(popular) library called vidgearthrough its WriteGear API: https://abhitronix.github.io/vidgear/latest/gears/writegear/compression/overview/
- VidGear Is a High-Performance Video Processing Python Library
- VidGear: Making Video-Processing with Python as easy as pie
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I created VidGear that makes Video-Processing with Python as easy as can be
Code: https://github.com/abhiTronix/vidgear
- VidGear 0.2.3: Video-Processing with Python as easy as can.
- VidGear – A High-Performance Video Processing Python Framework
moviepy
- Show HN: Revideo – Create Videos with Code
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Video Generation with Python
Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we will look closer at how Python can be used for video generation and explore some of the powerful libraries and tools that make it possible.
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VideoClip.set_layer functionality not working
VideoClip.set_layer functionality was added in https://github.com/Zulko/moviepy/pull/1176 but when I try to use it I get this error:
- Is there any Python library that can programmatically add text to videos with effects?
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YouTube Downloader
Moviepy was used to connect video and audio track.
- Video Editor
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Generate all possible combinations of a set of videos
I'm pretty sure Moviepy can do something like this.
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bug in 'cutout' transformation
For those of you who will try to figure this out, I have a couple notes. First, this doesn’t appear to be the only bug in cutout. If one tries to cut out X length of video, then the new rendered video will have X length of audio removed from the end. In other words, if I remove 3 seconds of film somewhere in the media, the resulting movie will have 3 seconds of silence at the end, although the video at the end is still intact. Thankfully, this can be fixed by going into the moviepy library, into “decorators”, and on line 43 under “def apply_to_audio(f, clip, *a, **k):”, change it from “newclip.audio = f(newclip.audio, *a, **k)” to “newclip.audio = f(clip.audio, *a, **k)”. By the way, I didn’t come up with this fix, these guys did.
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lord-of-the-clips (lotc): CLI app to download, trim/clip, and merge videos. Supports lots of sites. Downloads/trims at multiple points. Merges multiple clips.
This app leverages these powerful libraries: - yt-dlp: video downloader - moviepy: video trimmer/merger - click: CLI app creator - rich / rich-click: CLI app styler
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How to extract an audio file from a video with Python
The pip will be used to install and use Moviepy.
What are some alternatives?
scikit-video - Video processing routines for SciPy
ffmpeg-python - Python bindings for FFmpeg - with complex filtering support
OpenCV - Open Source Computer Vision Library
SaveTube - Youtube-dl GUI Wrapper
opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
PyAV - Pythonic bindings for FFmpeg's libraries.
ffmpeg-normalize - Audio Normalization for Python/ffmpeg
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
opencv-raspberrypi - Precompiled OpenCV 4.10 binaries for Raspberry Pi 3 & 4
pillow - Python Imaging Library (Fork)