Machine Graphics

This repository contains Python implementations of various operations on images

Table of contents

• General info
• Features
• Technologies
• Installation
• Get Started

Features

• HSV, HSI, HSL convertion
• Sepia, Grayscale image conversion
• image histogram
• MSE, RMSE image comparison
• aligning image with tail elimination
• convolution
• treshold
• edge and circle detection

Technologies

1. Python 3.10
2. NumPy
3. Matplotlib
4. OpenCV

Installation

1. Clone the repository to your local machine:

git clone https://github.com/Arrturo/Machine-Graphics.git

2. Install necessary libraries, you can use pip:

pip install numpy
pip install matplotlib
pip install opencv-python

You can also install all needed libraries with requirements.txt file:

pip install -r requirements.txt

Get Started

To use repo, you first need to import the Image class:

from Image import Image

Then you can create an instance of the Image class and pass in path to the image:

image = Image('D://Dokumenty//Code//Python//Introduction-to-Computer-Graphics//data//lena.jpg')

You can then display image using the show_img method:

image.show_img()