abracabra
AI-basketball-analysis
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abracabra | AI-basketball-analysis | |
---|---|---|
1 | 12 | |
0 | 923 | |
- | - | |
0.0 | 0.0 | |
almost 2 years ago | 12 months ago | |
Rust | Python | |
BSD Zero Clause License | GNU General Public License v3.0 or later |
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abracabra
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Ask HN: Show me your Half Baked project
Half-baked as in eating it can cause gastric problems, not as in 50% done?
https://github.com/hadrianw/werf a graphical mouse driven text editor inspired by Plan 9's acme. It can open quite big files, you can WIMP around a bit, but README is just wishful thinking, it can't even save files. Written in C with cairo and fontconfig. Currently for a few years I'm in process of rewriting text buffer, I have something nice, but did not test it enough and did not integrate it. Now I'm thinking of a rewrite in Zig to learn it and also make it easier to test. But that's my wishful thinking again.
https://github.com/hadrianw/tomatoaster a ChromeOS like Linux distribution based on Void Linux build system, AB partition scheme, building squashfs image without root privileges. Currently I did a nice and almost proper script to handle it and do not need to patch as match to build an image, that runs, but is not entirely useful. Need to clean-up the script and commit. Mostly bash, bunch of patches and config files and a bit of C.
https://github.com/hadrianw/abracabra a search engine, that will not index pages with ads (all results would be uBlock-Origin clean), that is not yet even a proper pipeline to check whether a page does contain ads or not, no crawler yet at all. I want to go through Common Crawl archives first. I did something in Go first (https://github.com/hadrianw/abracabra-legacy), but now I'm rewriting it in Rust, because of awesome lol_html crate, that will make filtering fast and easy. Currently writing code to filter URLs with Rabin-Karp and a bit of loops. It created an e-mail thread years ago with people wanting to help, but I've been too slow.
I don't want much help to code things, I would appreciate however a bit of pointers on a couple of things regarding Rust and watchdogs (to recognize a partition as unbootable and reset the system to the previous partition).
AI-basketball-analysis
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[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
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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.
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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
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