vidgear
ffmpeg-normalize
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vidgear | ffmpeg-normalize | |
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14 | 22 | |
3,183 | 1,150 | |
- | - | |
7.2 | 6.5 | |
15 days ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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
ffmpeg-normalize
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Normalizing one mp3 to another
Have you considered using ffmpeg-normalize? I use it regularly to normalize the loudness of both mp4's and mp3's and I find it very easy to use.
- FFmpeg-Normalize
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In my Studio One I don’t see this part in the exporting window, but I saw this in a video. I have Studio One 5 artist. Is it something that only comes with the Pro or in S1 6?
You can manually adjust using ffmpeg. measure volume with ebur128 filter then change it with volume filter. There is script for it https://github.com/slhck/ffmpeg-normalize but manual work is easy to do.
- Anyone know what this command actually does -rematrix_maxval 10
- Is it possible to do loudness levelling server side?
- Mass Normalize Opus Audio Files
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Does anyone use ffmpeg at work?
Have you got any scripts to share? I came across this project a couple months ago: https://github.com/slhck/ffmpeg-normalize
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Why Do All These 20-Somethings Have Closed Captions Turned On?
To normalize the audio levels so that they don't get too loud or too soft. Though I wouldn't use it if you have less than 64 kbit/second/track.
https://github.com/slhck/ffmpeg-normalize
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Normalize Volume on whole library
Normalize Volume
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Question about LRA value in loudnorm
I'm trying to setup [ffmpeg-normalize](https://github.com/slhck/ffmpeg-normalize), and I'm actually having problems specifically with properly mastered media with quite and loud bits. loudnorm doesn't accept an lra of over 20, but some tracks have got a higher lra than that - Pink Floyd's Dark Side of the Moon is an excellent example of that, the first track fades in from silence and is supposed to be a seamless transition into the second track. But with an lra of over 20, it goes into dynamic mode, and there is then a noticable step in loudness when the track changes.
What are some alternatives?
moviepy - Video editing with Python
auto-editor - Auto-Editor: Effort free video editing!
scikit-video - Video processing routines for SciPy
video-to-ascii - It is a simple python package to play videos in the terminal using characters as pixels
OpenCV - Open Source Computer Vision Library
aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)
SaveTube - Youtube-dl GUI Wrapper
FFmpeg - Mirror of https://git.ffmpeg.org/ffmpeg.git
opencv-steel-darts - Automatic scoring system for steel darts using OpenCV, a Raspberry Pi 3 Model B and two webcams.
ffsubsync - Automagically synchronize subtitles with video.
opencv-raspberrypi - Precompiled OpenCV 4.9 binaries for Raspberry Pi 3 & 4
deew - Dolby Encoding Engine Wrapper