pegao
AI-basketball-analysis
| pegao | AI-basketball-analysis | |
|---|---|---|
| 5 | 12 | |
| 13 | 923 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| JavaScript | Python | |
| GNU Affero General Public License v3.0 | 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.
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.
pegao
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Ask HN: Admittedly Useless Side Projects?
I built Pegao[1] as an open source side project, which is a web aggregator or bookmark to group links into lists trying to solve my own problem: I had many tabs open on my phone. It didn't work, but I actually use it to remember some links or tools that I know I'll use for upcoming projects.
This is my profile https://pegao.co/@zakokor
[1]https://pegao.co/
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I created a list of 50 websites where you can launch your sideproject
Great!! Would you like to use https://pegao.co to create this list?
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I centralize and distribute my bookmarks
In 2019 I built my own bookmark while learn Reactjs, I launched it as open source and I still use it even though I am the only active user. This is an example with my profile: https://pegao.co/@zakokor
- Share your favorites Books, Podcasts, Newsletters and more
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Ask HN: Show me your Half Baked project
Repo: https://github.com/zakokor/pegao
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?
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
pastty - Copy and paste across devices
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
logsuck - Easy log aggregation, indexing and searching
tone - tone is a cross platform audio tagger and metadata editor to dump and modify metadata for a wide variety of formats, including mp3, m4b, flac and more. It has no dependencies and can be downloaded as single binary for Windows, macOS, Linux and other common platforms.
veems - An open-source platform for online video.
xact - Model based design for developers
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
morphy - A simple static site generator
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data