dupver
AI-basketball-analysis
| dupver | AI-basketball-analysis | |
|---|---|---|
| 8 | 12 | |
| 13 | 923 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Go | Python | |
| BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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dupver
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Data Version Control
I work with a lot of uncompressed structured binary files so I finally broke down and wrote my own system based on the Restic chunker: https://github.com/akbarnes/dupver
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Write Plain Text Files
I wound up writing dupver https://github.com/akbarnes/dupver after getting frustrated with the lack of versioning tools for binary files. One neat thing about .docx files and their ilk is that they are "just" zip files so it isn't hard to add special handling to pull out their contents and run deduplication over that.
- Dupver - Deduplicating VCS for large binary files in Go
- Show HN: Deduplicating VCS for large binary files in Go
- Dupver: deduplicating version control for large-ish binary files
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Ask HN: Show me your Half Baked project
DupVer https://github.com/akbarnes/dupver is a deduplicating version control system for large binary files. It's designed to keep state in a repository on the local machine separate from the working directory so it plays nice with cloud synchronization software.
I started it after constant headaches involving Git LFS and the corporate proxy. It's based around the Restic chunker library, with inspiration from both the Duplicacy backup software and Boar, another binary version control system for large binary files.
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What comes after Git? It's been 15 years since it was created
https://github.com/akbarnes/dupver
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
What are some alternatives?
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wcp
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tinyjam - A radically simple, zero-configuration static site generator in JavaScript
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data