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Computer Vision for Noobs is a beginner-friendly repository providing practical examples and projects to learn computer vision concepts.

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Computer Vision for Noobs

Description

This repository is designed to help beginners learn computer vision and image processing concepts through practical examples and projects. It covers the fundamentals of computer vision and provides step-by-step instructions for implementing various image processing techniques.

Installation

To get started, make sure you have the following prerequisites:

  • Python (version 3.6 or later)

Next, you can install the necessary dependencies by running the following command:

pip install opencv-python numpy

Usage

Once you have installed the required dependencies, you can begin exploring the computer vision concepts and projects provided in this repository. Each project folder contains a self-contained Python script along with any additional resources or data files required.

Contributing

Contributions to this repository are welcome! If you have any improvements, bug fixes, or additional projects to add, please feel free to submit a pull request.

About

Computer Vision for Noobs is a beginner-friendly repository providing practical examples and projects to learn computer vision concepts.

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