AI-basketball-analysis
ws-monitoring
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AI-basketball-analysis | ws-monitoring | |
---|---|---|
12 | 8 | |
923 | 182 | |
- | 0.5% | |
0.0 | 3.3 | |
12 months ago | 7 months ago | |
Python | HTML | |
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.
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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.
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
ws-monitoring
- Ws-monitoring: A simple and lightweight realtime monitoring software using Node
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TIL you can freeze (hold/pause) Task manager values by holding Ctrl button
ws-monitoring
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Lightweight system monitoring with graphs
This one is really lightweight and do real time graphs and more: https://github.com/elestio/ws-monitoring/
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Cockpit – Integrated, glanceable, web-based interface for your servers
Shameless plug,I made a lightweight real time monitoring tools using websockets, it's open source: https://github.com/elestio/ws-monitoring/
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Node Service/Daemon that runs forever
You will find samples for both in this repo: https://github.com/elestio/ws-monitoring
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Ask HN: Show me your Half Baked project
Here is my half baked real-time server monitoring system: https://github.com/elestio/ws-monitoring
It's a web UI + websocket backend, very small, 10kb vanilla frontend and 300 LOC for the backend.
My goal is not to compete with netdata or other big tools but serve my own needs using really few resources
- Show HN: Lightweight real-time monitoring in Node.js with WebSockets
- Lightweight real-time server monitoring with Node.js in Docker
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