AI-basketball-analysis
go-live
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AI-basketball-analysis | go-live | |
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12 | 5 | |
922 | 25 | |
- | - | |
0.0 | 6.9 | |
12 months ago | 4 months ago | |
Python | Go | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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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.
- Show HN: AI Basketball Analysis in Realtime
- Show HN: AI Basketball Visualization
go-live
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Ask HN: Show me your Half Baked project
Created a shell utility in Go, called go-live. The idea is that you start it in a directory, and then those files are immediately hosted on the network.
The core idea is to be as lightweight and performant as possible, and to do one thing only and well - Unix style.
https://github.com/antsankov/go-live
Looking for contributors and feedback on it.
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Announcing the 1.0 release of go-live, an ultra lightweight/performant (4mb compiled) static-site and file server.
Checkout: https://github.com/antsankov/go-live#todo-help-wanted
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1.0 release of go-live: An ultra light (4mb compiled) Go site and file server
Linux: ```snap install go-live```
Checkout the Github for more info on how to install it: https://github.com/antsankov/go-live#install and interesting use cases.
Any feedback is appreciated, since this is the first open-source Unix utility I've worked on! Also need some help on profiling it.
What are some alternatives?
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hof - Framework that joins data models, schemas, code generation, and a task engine. Language and technology agnostic.
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pegao - Pegao is a community about lists of links on topics of interest.
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rps-scala - Rock Paper Scissor online strategy game, implemented in Scala and Typescript
live_data
logsuck - Easy log aggregation, indexing and searching