human-action-classification
AI-basketball-analysis
| human-action-classification | AI-basketball-analysis | |
|---|---|---|
| 1 | 12 | |
| 199 | 923 | |
| - | - | |
| 1.8 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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human-action-classification
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Exercise recognition using HRNet
Train another classification model for each exercise which will be feed with image with drawn keypoints. Something like this - https://github.com/dronefreak/human-action-classification
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?
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
ActionAI - Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
veems - An open-source platform for online video.
Keypoint_Communities - [ICCV '21] In this repository you find the code to our paper "Keypoint Communities".
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
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