Arthur
AI-basketball-analysis
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Arthur | AI-basketball-analysis | |
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5 | 12 | |
7 | 923 | |
- | - | |
8.5 | 0.0 | |
about 3 years ago | 12 months ago | |
Python | Python | |
- | 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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
Arthur
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Ask HN: What is your “I don't care if this succeeds” project?
Here are three hobby projects I've worked on during the last 2 years. I've written extensive guides for all of them:
https://github.com/maxvfischer/DIY-CNC-machine A CNC-machine I built from scratch, using 40x 3d-printed parts.
https://github.com/maxvfischer/Arthur An AI art installation I built from scratch using a GAN network, Samsung The Frame, a button and a PIR-sensor.
https://github.com/maxvfischer/DIY-arcade A full-size Arcade Machine I built from scratch.
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Problem With False Positives On My Soldered
Here you have the complete electronic setup: https://github.com/maxvfischer/Arthur#electronic-components
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What is your “I don't care if this succeeds” project?
When I set out to learn new skills, I usually try to wrap them in a project. I also try to document and open-source the whole process, both for my own learning, but to enable other to leverage my failures and learnings.
Here are the projects I've done so far:
https://github.com/maxvfischer/Arthur An AI art installation I built from scratch using a GAN network, Samsung The Frame, a button and a PIR-sensor (including, code, images and tutorial). The main draft is almost done, but quite some polishing to do.
https://github.com/maxvfischer/shibusa An automatic Zen Garden drawing infinite patterns in sand. Using stepper motors, inverse kinematics and a Raspberry Pi Zero W (including, code, images and tutorial). I'm almost done building the robot, but still have quite some implementation to do. Also, the guide is far from done, I've mostly uploaded images so far.
https://github.com/maxvfischer/DIY-arcade A full-size Arcade Machine I built from scratch (including, code, images and tutorial). I don't know where you draw the life of "half baked". It's done, but there's a lot of improvements that can be done.
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Ask HN: What Are You Working On?
https://github.com/maxvfischer/Arthur An AI art installation I built from scratch using a GAN network, Samsung The Frame, a button and a PIR-sensor (including, code, images and tutorial). The main draft is almost done, but quite some polishing to do.
https://github.com/maxvfischer/shibusa An automatic Zen Garden drawing infinite patterns in sand. Using stepper motors, inverse kinematics and a Raspberry Pi Zero W (including, code, images and tutorial). I'm almost done building the robot, but still have quite some implementation to do. Also, the guide is far from done, I've mostly uploaded images so far.
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Ask HN: Show me your Half Baked project
https://github.com/maxvfischer/Arthur
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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