mani
AI-basketball-analysis
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mani | AI-basketball-analysis | |
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14 | 12 | |
423 | 923 | |
- | - | |
4.3 | 0.0 | |
about 1 month ago | 12 months 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.
mani
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sake - like make but for servers
a bit of both, planning to make a gopher sake logo, now I just copied the one I had from https://github.com/alajmo/mani. Had an alternative name initially, pan, poor man's ansible :D
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mani, a CLI Tool to Manage Multiple Repositories
Mani came about because I needed a CLI tool to manage multiple repositories, both at work and for my projects. The premise is, you have a bunch of repositories and want the following:
- mani - CLI tool to help you manage multiple repositories
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Tell ONE terminal app you use everyday but no one seems know about the app
I work with data science, so a lot of the time I'm looking at CSV files, and lately, I've been using https://github.com/chrisbra/csv.vim with I can recommend. Other than that, I wrote a CLI tool to help manage microservices and many-repo setups, https://manicli.com/.
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New release for mani, a CLI tool to manage multiple repositories
Github: https://github.com/alajmo/mani
- Show HN: Mani – Task runner CLI to manage multiple repos (manicli.com)
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?
gita - Manage many git repos with sanity 从容管理多个git库
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
cointop - A fast and lightweight interactive terminal based UI application for tracking cryptocurrencies 🚀
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
kafka-go - Kafka library in Go
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
elvish - Powerful scripting language & Versatile interactive shell
veems - An open-source platform for online video.
termui - Golang terminal dashboard
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
go-prompt - Building powerful interactive prompts in Go, inspired by python-prompt-toolkit.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data