anchor
AI-basketball-analysis
| anchor | AI-basketball-analysis | |
|---|---|---|
| 2 | 12 | |
| 24 | 923 | |
| - | - | |
| 1.8 | 0.0 | |
| over 3 years ago | about 1 year ago | |
| Dart | Python | |
| MIT License | GNU General Public License v3.0 or later |
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anchor
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I made my own Ubuntu theme on Android. It took a while to do, but I never changed it again.
The homescreen should be possible with https://github.com/quaintdev/anchor
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Ask HN: Show me your Half Baked project
A hand coded Android launcher
- does not have widgets
- no shortcut icons on home screen (at least not like what we have currently)
What it has?
- App shortcuts on sidebar (please see: https://github.com/quaintdev/anchor)
- App drawer
- QOTD
- TODO
- Any flutter widget that you can think off!
Why?
Having multiple apps just to customize my home screen was not working for me. So I decided to hand code my home screen. Implementing Flutter widgets is so fast and easy that I have replaced apps like TODO, Quotes, Grocery list with Flutter widgets on home screen. I am planning to add more functions to it like
- Drinking water reminders
- Solar panel output monitor
- Blog visitor counter
Here is the repo: https://github.com/quaintdev/anchor
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?
pastty - Copy and paste across devices
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
pyodide - Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
veems - An open-source platform for online video.
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
live_data
hof - Framework that joins data models, schemas, code generation, and a task engine. Language and technology agnostic.
human-detection - yolov3 tensorflow object detection and report human movements in persian
espn-api - ESPN Fantasy API! (Football, Basketball)