vidgear
opencv-steel-darts
vidgear | opencv-steel-darts | |
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14 | 2 | |
3,347 | 233 | |
- | - | |
8.8 | 0.0 | |
2 months ago | over 4 years ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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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
opencv-steel-darts
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Photo-recognition scoring app
Big challenge is always going to be calibration of the cameras. The software problem is tractable. Check this project out: https://github.com/hanneshoettinger/opencv-steel-darts and I believe there's a Facebook group where some developers collaborate.
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When you play online and you get a 180 almost every time you get 1 out of 5 rating afterwards . Ppfff there is a lot of cheating online. Any suggestions are welcome for better platforms
I never played online. Just asking myself how you can cheat there? Is it cheating like showing recorded 180s or how they do it? I was thinking of software that tracks the score (like https://github.com/hanneshoettinger/opencv-steel-darts). Are there platforms supporting it?
What are some alternatives?
moviepy - Video editing with Python
SkunkBooth - Text based command line webcam photobooth app
scikit-video - Video processing routines for SciPy
Batch-crop-images - A tool for cropping similar images in a batch with an interface.
OpenCV - Open Source Computer Vision Library
Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries
SaveTube - Youtube-dl GUI Wrapper
imagezmq - A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
ffmpeg-normalize - Audio Normalization for Python/ffmpeg
imagehub - Receive and save images from multiple Raspberry Pi's
opencv-raspberrypi - Precompiled OpenCV 4.10 binaries for Raspberry Pi 3 & 4
lane-detection-opencv - This is for detecting any lane in the road to identify the road map