impermalink
AI-basketball-analysis
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impermalink | AI-basketball-analysis | |
---|---|---|
1 | 12 | |
0 | 923 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | about 1 year ago | |
TypeScript | 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.
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impermalink
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Ask HN: Show me your Half Baked project
https://impermalink.spiffy.tech - Save Links for Later. Optimized for a triage-save-read-trash loop.
I'm a long-time Instapaper/Pocket/Wallabag user. I love scanning my RSS feeds, saving links into those, and clicking 'mark all as read'. Then, when I have some downtime, I pore over all the interesting articles/videos I saved. I always have something interesting to read, and I can read it with focus, not doomscrolling and hoping to luck into something good.
But Instapaper et al. aren't built for the way I use them. I put a link in, read it, and delete it. No tagging, no archiving. I usually don't even want text extraction. I just want to read something interesting, then I'm done with it. I can bookmark the link in my browser if I really want to.
Also, I want to open HN/Reddit/YouTube links in their native mobile apps. Instapaper/Wallabag make that clumsy, Pocket makes it almost impossible. These apps also have bugs with sync, but I don't care about offline access, so why am I paying the cost for buggy offline sync I don't use?
Impermalink is designed to streamline my workflow. You can share to it from other apps. When you click a link to open it, it's marked for deletion and will disappear the next time you click another link. You can rescue a link from the recycle bin. Links are grouped by domain, so it's easy to lump all those YouTube videos under a collapsed header so you can focus on other content. Links are just links - your browser will open them however it's normally configured to, including opening them in native apps on mobile.
The app's condition is "rough and ready". It works enough that I use it every day and really enjoy it. The UX has obvious areas for improvement. The home page has no content. Svelte has bugs that double-render some of the content sometimes. But it's there, and it works.
Give it a try, let me know what you think, [email protected]
Install the app to your home screen with Chrome on Android. Yes, Chrome, not anything else, not even Chrome derivatives. I haven't tried on iOS yet. You can use the app in any browser you want, but only Chrome on Android knows how to share links to web apps.
https://impermalink.spiffy.tech
https://github.com/spiffytech/impermalink
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?
pastty - Copy and paste across devices
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
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.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
DIY-arcade - How to build your own full-size arcade machine from scratch
veems - An open-source platform for online video.
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.
thgtoa - The Hitchhiker’s Guide to Online Anonymity
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
hacn - A "monad" or DSL for creating React components using Fable and F# computation expressions
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data
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