rum
AI-basketball-analysis
rum | AI-basketball-analysis | |
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4 | 12 | |
1,772 | 923 | |
- | - | |
3.8 | 0.0 | |
5 months ago | about 1 year ago | |
HTML | Python | |
Eclipse Public License 1.0 | 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.
rum
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That people produce HTML with string templates is telling us something
(Note that Rum is also a React wrapper, but you don't have to use that part of it; you can simply use it for static rendering of HTML.)
https://github.com/tonsky/rum
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Common Beginner Mistakes with React
I love React as long as it has a thin skim of clojurescript over top. Rum is the underdog compared to reagent but is still my weapon of choice - https://github.com/tonsky/rum
Was disillusioned when I had to dive into a pure js project using it.
The real benefit, I think, is that you get the well established Clojure idioms around isolating and managing mutable state.
State is stored in a Atom, which is atomically mutated, and reactive components essentially 'subscribe' to updates upon that atom to re render.
The mutations can be handled centrally by a message queue, but really, event sourcing like that is not always needed.
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Giving new life to existing Om legacy SPAs with re-om
We've been using re-om during the last 6 months and it has really made our lives much easier. Before open-sourcing it, we decided to extract from re-om the code that was independent of any view technology. This code is now part of reffectory and it might be used as the base for creating frameworks similar to re-om for other view technologies, like for example rum, or even for pure Clojure projects.
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Ask HN: Show me your Half Baked project
I've had an in-browser animated meme editor in the freezer for a few years now:
https://www.ultime.me/
The idea came when I wanted to make a simple animated meme, but found it exceedingly frustrating to caption a simple animated gif with nice text options (like outlines). Over time, it's grown to have full keyframe animation for all text and image/video clip attributes, so it is actually pretty capable short of using a desktop video editing/fx package.
That said, the UX is bad and I should feel bad :) . I made the deliberate choice up front to focus on the underlying data model and internal APIs rather than polishing the UI - as such, it is very much an engineer interface. It would be more usable with some demo videos or call-to-action helpers for new users, but really the UX just needs reworked. Especially around animation/keyframing.
On the bright side, the clean data model and content addressable assets leave the path clear to add things like collaborative multi-user meme editing, git like meme-forking(and diffing?), and so forth.
Started it about 3 years ago when I had a period of mostly free time to play. It's been idle for a long time due to starting a family and getting consulting momentum, but I'm intending to make the time this year to polish the UX to the point of general usability and experiment with promotion/monetization. Failing that, I'll probably just open source it and write a couple of blog posts about the internals.
It is more or less a static web app, with no server side function short of some optional stats collection. It's written in Clojurescript/Clojure and uses https://github.com/tonsky/rum as a React wrapper and
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?
pgvector - Open-source vector similarity search for Postgres
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
pg_cjk_parser - Postgres CJK Parser pg_cjk_parser is a fts (full text search) parser derived from the default parser in PostgreSQL 11. When a postgres database uses utf-8 encoding, this parser supports all the features of the default parser while splitting CJK (Chinese, Japanese, Korean) characters into 2-gram tokens. If the database's encoding is not utf-8, the parser behaves just like the default parser.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
recoll - recoll with webui in a docker container
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
vtpl - Vtpl is a php template engine that ensures proper separations of concerns, the frontend logic is separated from presentation. The goal is to keep the html unchanged for better maintainability for both backend and frontend developers
veems - An open-source platform for online video.
dream-html - Render HTML, SVG, MathML, htmx markup from your OCaml Dream backend server
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
parsemail - Hanami fork of https://github.com/DusanKasan/parsemail
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data