jarvis
AI-basketball-analysis
| jarvis | AI-basketball-analysis | |
|---|---|---|
| 1 | 12 | |
| 22 | 923 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| C++ | Python | |
| Mozilla Public License 2.0 | 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.
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jarvis
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Ask HN: Show me your Half Baked project
A personal assistant for the desktop computer called Deus. Cross-platforn and open source here: https://github.com/nuttyartist/deus, https://awesomenessnotes.wixsite.com/website-5 (didn't update it for a long time)
Code is in C++ using Qt. Uses Porcupine for wake-up-word detection and Google API's for speech-to-text and text-to-speech.
It can play music, move your windows, you can shout google searches at it, tell it open Gmail, take screenshots, etc.
After launching it I found people didn't find it useful, including myself, after some time. Still, I open sourced it in case somebody will find it interesting. I loved developing the NLP engine part using tree structure to load the database and travel on it to find the most suitable command based on the user input.
Moved on to the next idea (:
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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