https://github.com/phamtrinhduc/fooball-analysis

The football analysis project helps detect players on the field, statistics on parameters such as speed, distance, ball retention rate... in a football match.
https://github.com/phamtrinhduc/fooball-analysis

football-analytics k-means-clustering opencv yolov8

Last synced: 16 days ago
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The football analysis project helps detect players on the field, statistics on parameters such as speed, distance, ball retention rate... in a football match.

• Host: GitHub
• URL: https://github.com/phamtrinhduc/fooball-analysis
• Owner: PhamTrinhDuc
• License: gpl-3.0
• Created: 2024-09-09T03:02:02.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-09-13T01:37:38.000Z (2 months ago)
• Last Synced: 2024-10-10T17:42:06.336Z (about 1 month ago)
• Topics: football-analytics, k-means-clustering, opencv, yolov8
• Language: Jupyter Notebook
• Homepage:
• Size: 3.34 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Footbal Analysis

## 1. DEMO RESULT

![alt text](images/demo_result.png)

## 2. Tutorial

### 2.1 Tree folder:

### 2.2  Install dependencies

    pip install -r requirements.txt

    

### 2.3 Run repo

    python3 main.py

    

### 2.4 The results are saved in the folder: data/video/output