ML-auto-baseball-pitching-overlay
AI-basketball-analysis
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| ML-auto-baseball-pitching-overlay | AI-basketball-analysis | |
|---|---|---|
| 9 | 12 | |
| 267 | 923 | |
| - | - | |
| 2.7 | 0.0 | |
| 14 days ago | 12 months ago | |
| Python | Python | |
| - | 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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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.
ML-auto-baseball-pitching-overlay
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[P] Basketball Shots Detection and Shooting Pose Analysis (Open Source)
The reason that I'm sharing it again is that I got some comments suggesting me make one for basketball while I'm sharing another baseball overlay project. I really like the idea and I figured out many people haven't seen this AI Basketball Analysis. So I shared it again and expecting more valuable feedback!
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[Updated] Automatically Overlaying Baseball Pitch Motion and Trajectory in Realtime (Open Source)
https://github.com/chonyy/ML-auto-baseball-pitching-overlay/blob/2aab621c7579c143fd75a2a2f8083b5f255aa0cf/src/get_pitch_frames.py#L106
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[P] [Updated] Automatic Baseball Pitch Motion and Trajectory Overlay in Realtime (Open Source)
Source code: https://github.com/chonyy/ML-auto-baseball-pitching-overlay
- Automatically Overlaying Pitch Motion and Trajectory in Realtime
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Ask HN: Show me your Half Baked project
I built this project to automatically overlay baseball pitch motion and trajectory.
https://github.com/chonyy/ML-auto-baseball-pitching-overlay
It's ready for a quick demo. However, there are stiil some little improvements have to make. And I'll build an web app on top of it for people to use it online.
- Show HN: Automatic Baseball Pitching Motion and Trajectory Overlay in Realtime
- Show HN: Automatically Overlaying Baseball Pitch Motion and Trajectory with ML
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Automatically Overlaying Baseball Pitch Motion and Trajectory (Open Source)
Source code: https://github.com/chonyy/ML-auto-baseball-pitching-overlay
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?
opencv_py
Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.
Hitrava - Convert your Huawei Health sport activities and import them in Strava.
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
json-tail
go-live - 🗂️ go-live is an ultra-light server utility that serves files, HTML or anything else, over HTTP.
wcp
veems - An open-source platform for online video.
ping-heatmap - A tool for displaying subsecond offset heatmaps of ICMP ping latency
FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
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.
SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data