morphy
AI-basketball-analysis
| morphy | AI-basketball-analysis | |
|---|---|---|
| 3 | 12 | |
| 2 | 923 | |
| - | - | |
| 1.8 | 0.0 | |
| over 3 years ago | about 1 year ago | |
| Clojure | Python | |
| Eclipse Public License 1.0 | 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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morphy
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Ask HN: Show me your Half Baked project
This is so true but my biggest struggle. Everything I have just shipped before I thought it was ready did really well, yet I still struggle to do it. I built my own static site generator, which I use for my own blog: https://github.com/kiramclean/morphy
I need to at least add documentation, and obviously there's a million other things I think I need before I tell anyone else about it.
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How To Set Up Codecov For a Clojure Deps Project
I recently set up code coverage reporting with Codecov for a Clojure project of mine that uses tools.deps and builds on CircleCI. It turned out to be pretty easy but the documentation for the various parts was a bit ambiguous, so I wrote down the steps here in case you're looking to do the same. You can see all the changes it took together in context in this commit where I set it up for my project.
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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