roost-hsm
AI-basketball-analysis
roost-hsm | AI-basketball-analysis | |
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1 | 12 | |
3 | 923 | |
- | - | |
2.0 | 0.0 | |
over 3 years ago | about 1 year ago | |
C++ | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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roost-hsm
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Ask HN: Show me your Half Baked project
https://github.com/ragnot/roost-hsm
I wanted a C++ hierarchical state machine library didn't require massive compile times like boost msm.
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?
HFSM2 - High-Performance Hierarchical Finite State Machine Framework
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
ws-monitoring - A simple & lightweight realtime monitoring web UI + server in Node.js
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
invisible-ink - :secret: Gradually loading web fonts
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
hsm - Finite state machine library based on the boost hana meta programming library. It follows the principles of the boost msm and boost sml libraries, but tries to reduce own complex meta programming code to a minimum.
veems - An open-source platform for online video.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
hof - Framework that joins data models, schemas, code generation, and a task engine. Language and technology agnostic.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data