abs_cd
AI-basketball-analysis
| abs_cd | AI-basketball-analysis | |
|---|---|---|
| 9 | 12 | |
| 70 | 923 | |
| - | - | |
| 7.8 | 0.0 | |
| 3 months ago | about 1 year ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
abs_cd
-
Looking for co-maintainers (AUR)
Get a CI to check if pkg build in clean environments. So many users will falsely report broken packages while they simply ran makepkg in their arch installation & the build system pulls crap from it into the build process & it fails despite your pkg being fine. It's a shame every AUR helper except aurutils still doesn't support building in clean chroots, but you can't change that. I build https://github.com/bionade24/abs_cd for that, which end the end served a custom repo easing the installation for users, too. There are plenty alternatives to my SW out there, too.
-
ROS OS support be like
You can find the CD status on https://abs-cd.oscloud.info/
-
ABS-CD, a CI/CD for Arch packages, now features automatic check for changes in the PKGBUILD repo.
This commit should also be a good example on how to configure crond to work well with logging in an Arch container.
-
Ask HN: Show me your Half Baked project
https://github.com/bionade24/abs_cd
A CI/CD with webinterface for Archlinux packages which optional AUR push support if builds succeed. It's based on Django and works with Docker/Podman. I originally made it for my own AUR packages (> 300), I needed accessible build logs if I want to collab, which the common builders didn't provide. I made the project public and it's crazy for me as an open source beginner to see how many people like this. The basic features are complete, but things like multiarch are getting add soon.
-
Show HN: A CI/CD for Archlinux packages with optional AUR push
It now has podman compatibility as as a PR: https://github.com/bionade24/abs_cd/pull/8
-
ABS_CD - a CI/CD for Archlinux packages with optional AUR push support making it easy to serve a private repo.
It now should have podman compatibility, would be nice if you test it: https://github.com/bionade24/abs_cd/pull/8
-
Can I automatically put in my password after building with yay
If it really takes that long (and you maybe have more than one device or your friends use the same packages) and you can't find a user already packaging it in their private repo you could host an own repo in you local network. I created a CI/CD software for Arch packages which makes this easier: https://github.com/bionade24/abs_cd
AI-basketball-analysis
-
[P] Basketball Shots Detection and Shooting Pose Analysis (Open Source)
Source code: https://github.com/chonyy/AI-basketball-analysis
- Show HN: Visualizing Basketball Trajectory and Analyzing Shooting Pose
- Automatically Overlaying Baseball Pitch Motion and Trajectory in Realtime (Open Source)
- Show HN: AI Basketball Analysis Web App and API
- Show HN: Visualize and Analyze Basketball Shots and Shooting Pose with ML
-
Ask HN: Show me your Half Baked project
I built an app to visualize and analyze basketball shots and shooting pose with machine learning.
https://github.com/chonyy/AI-basketball-analysis
The result is pretty nice. However, the only problem is the slow inference speed. I'm now refactoring the project structure and changing the model to a much faster YOLO model.
-
Show HN: Automatic Baseball Pitching Motion and Trajectory Overlay in Realtime
Thanks for asking! This is not a noob question.
I would say that the similar workflow could be applied to any ball-related sports. The object detection and the tracking algorithm is basically the same. Then, you could add any sport-specific feature!
For example, I have used a similar method to build AI Basketball Analysis.
https://github.com/chonyy/AI-basketball-analysis
- Show HN: AI Basketball Analysis in Realtime
- Show HN: AI Basketball Visualization
What are some alternatives?
DIY-arcade - How to build your own full-size arcade machine from scratch
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
tinyjam - A radically simple, zero-configuration static site generator in JavaScript
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
smug - Session manager and task runner for tmux. Start your development environment within one command.
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
json-tail
veems - An open-source platform for online video.
stdnum-js - A JavaScript library to provide functions to handle, parse and validate standard numbers.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
wcp
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data