DK86PC
AI-basketball-analysis
| DK86PC | AI-basketball-analysis | |
|---|---|---|
| 5 | 12 | |
| 12 | 923 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | almost 1 year ago | |
| C | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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DK86PC
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Ask HN: Who Wants to Collaborate?
I'm building an IBM 5150 emulator. Most of it is therefore an 8086 (technically 8088 but no difference for this) emulator. I have it successfully booting the BIOS and running BASIC in ROM (Casette BASIC). I'd like to boot DOS. I could use help with the disk support chips (everything is low level emulation right now) and more CGA graphics modes. It's just a hobby project—I'm not looking to make it performant, just working.
It's written in poor C++ with SDL.
https://github.com/davecom/DK86PC
- What's everyone currently working on?
- Systematic method to reverse engineer and rewrite DOS games project by Kevinx286
- Anyone else playing with x86? (8086, 80186)
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Ask HN: Show me your Half Baked project
https://github.com/davecom/DK86PC
It's at the point where it gets through booting the BIOS and gets to the IBM Casette BASIC (I haven't made much progress on the floppy disk controller to boot DOS). But then all keys get recognized as apostrophes:
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?
rsyscall - Process-independent interface to Linux system calls
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
platelet - Dispatch system for emergency volunteer couriers.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
PSX - PlayStation Bare Metal Mips Assembly Programming
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
nes-test-roms - Collection of test ROMs for testing a NES emulator.
veems - An open-source platform for online video.
temu-vsb - TEMU ("Tandy Emulator") and VSB ("Virtual Sound Blaster"), two nifty MS-DOS TSR utilities originally developed by Andrew Zabolotny (Андрей Заболотный).
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
macrome - The in-tree build system
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data