tty-share
AI-basketball-analysis
| tty-share | AI-basketball-analysis | |
|---|---|---|
| 5 | 12 | |
| 778 | 923 | |
| - | - | |
| 1.5 | 0.0 | |
| 29 days ago | about 1 year ago | |
| Go | Python | |
| MIT License | 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.
tty-share
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TStream - Live streaming from your terminal
https://tty-share.com this will do what you are asking for ^
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TermPair: Terminal sharing with AES-GCM 128 bit end-to-end encryption
You can quickly provide a shared session connection to an external third party, so they can access computers that are not publicly accessable and that they normally would not have access to without having to do any credential management.
It's great for tech support.
tty-share is also good https://tty-share.com/
- How can I securely give my friend remote access to my linux server to assist with administration?
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tips on how to do a presentation from the terminal?
There's also https://tty-share.com/ if you want people to follow your terminal session live.
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Ask HN: Show me your Half Baked project
A very simple terminal sharing over the Internet tool. It doesn't require anything for the remote to join a session.
https://github.com/elisescu/tty-share
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?
tmate - Instant Terminal Sharing
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
thgtoa - The Hitchhiker’s Guide to Online Anonymity
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
ht - Friendly and fast tool for sending HTTP requests
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
tstream - Live streaming from your terminal
veems - An open-source platform for online video.
asciinema - Platform for hosting and sharing terminal session recordings
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
termpair - View and control terminals from your browser with end-to-end encryption 🔒
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data