flex-sftp-server
AI-basketball-analysis
flex-sftp-server | AI-basketball-analysis | |
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1 | 12 | |
1 | 923 | |
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0.0 | 0.0 | |
over 3 years ago | about 1 year ago | |
Rust | 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.
flex-sftp-server
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Ask HN: Show me your Half Baked project
Two very half baked projects:
1) https://github.com/ayourtch/tbpatch
read the unified diff and apply to files that may have whitespace changes compared to original. The aim is to experiment with structured source control. The first immediate use is to be able to more easily cherry-pick code changes between branches in a big project.
2) https://github.com/ayourtch/flex-sftp-server
an experiment in making an SFTP server that is not tied to openssh, to implement more flexibility like more granular access control, different storage backend etc.
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?
ws-monitoring - A simple & lightweight realtime monitoring web UI + server in Node.js
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
xact - Model based design for developers
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
dflex - The sophisticated Drag and Drop library you've been waiting for 🥳
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
pcopy - pcopy is a temporary file host, nopaste and clipboard across machines. It can be used from the Web UI, via a CLI or without a client by using curl.
veems - An open-source platform for online video.
DIY-arcade - How to build your own full-size arcade machine from scratch
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