# chonyy/AI-basketball-analysis

:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

Repository: https://github.com/chonyy/AI-basketball-analysis
Canonical: https://ross.abutalabs.com/products/ai-basketball-analysis
Homepage: https://ai-basketball-analysis.herokuapp.com/
Language: Python
License: NOASSERTION
License Family: other
Topics: basketball, machine-learning, tensorflow, api, computer-vision, object-detection, artificial-intelligence, openpose, deep-learning, pose-estimation, yolo, yolov4
Last push: 2024-09-26T09:40:34+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2321, "days_push": 706, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1277, forks 235 (observed 2026-08-28T04:04:13.315008+00:00)

## What it is
An AI-powered web app and API that analyzes basketball shots and shooting form from uploaded videos using object detection and OpenPose pose estimation. It provides shot accuracy metrics and body keypoint analysis via a web interface or POST requests.

## Use cases
- analyze basketball shot accuracy from video
- estimate shooting pose and body keypoints
- detect ball and hoop in basketball footage
- run shot analysis via API POST requests
- explore computer vision for sports analytics

## When to avoid
- you need commercial use (OpenPose license restricts it to noncommercial research)
- you need real-time live analysis rather than uploaded video
- you need a maintained production-grade service

## Facets
- artifact type: application
- maturity: maintenance
- function: machine-learning, computer-vision, image-processing, api-framework
- domain: computer-vision, machine-learning, sports, deep-learning, apis
- platform: python, cross-platform
- tags: pose-estimation, openpose, yolo, basketball-analytics, shot-detection, sports-analysis, flask-api, web-server

## Member repositories
- chonyy/AI-basketball-analysis (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:13.315008+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:02:49.454479+00:00, confidence not recorded.
  - readme: https://github.com/chonyy/AI-basketball-analysis (fetched 2026-08-28T04:04:13.315008+00:00, sha 269a5ba181ff)
- Data as of 2026-08-30T08:39:29.467469+00:00.