Football Analysis using Computer Vision

[Pranshu-jais]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Football Analysis system :red_circle: Aim : Buliding football analysis system using computer vision :red_circle: Dataset : https://www.kaggle.com/competitions/dfl-bundesliga-data-shootout/data?select=clips :red_circle: Approach : using YOlO to detect the players, referees and footballs ,l assign players to teams based on the colors of their t-shirts using Kmeans for pixel segmentation and clustering and use optical flow to measure camera movement between frames, enabling us to accurately measure a player's movemen

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name : Pranshu Jaiswal
• GitHub Profile Link : https://github.com/Pranshu-jais
• Email ID : [email protected]
• Participant ID (if applicable):Pranshu | Contributor. Discord ID: anurag342
• Approach for this Project :As mentioned above
• What is your participant role? GSSoC 2024

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎