Toucan
AI-basketball-analysis
Toucan | AI-basketball-analysis | |
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1 | 12 | |
17 | 923 | |
- | - | |
0.0 | 0.0 | |
about 3 years ago | about 1 year ago | |
C++ | Python | |
MIT License | GNU General Public License v3.0 or later |
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Toucan
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Ask HN: Show me your Half Baked project
https://github.com/matiasvc/Toucan
I work in robotics and have for a long time been frustrated with how hard it is to visualize data in C++. I created Toucan to try to solve that. The project is still in a very early stage but has already started to become useful.
The API still needs work but itβs getting there. Toucan can be called from anywhere in your code, and runs in its own thread to always remain interactive and responsive.
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
What are some alternatives?
observable-state-tree - An observable state tree is a normal object except that listeners can be bound to any subtree of the state tree.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
morphy - A simple static site generator
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
go-live - ποΈ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
veems - An open-source platform for online video.
invisible-ink - :secret: Gradually loading web fonts
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT π
ht - Friendly and fast tool for sending HTTP requests
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data