RBM 4 Pixel-Level Multispectral Image Segmentation

This project focuses on segmenting hyperspectral images using restricted Boltzmann machine (RBM) techniques. Hyperspectral images are rich in information, but their analysis and segmentation require advanced data processing techniques. In this project, we leverage RBMs to identify and segment different regions in hyperspectral images, which can significantly facilitate data analysis and understanding.

Installation

1. Clone the repository:

   git clone https://github.com/Dawidemm/pixel-level-image-analysis
   cd pixel-level-image-analysis

2. Python Version:

   This project is developed using Python version 3.10.13.

3. Virtual Environment:

   It is recommended to use a virtual environment to manage dependencies and isolate the project environment.

4. Install the project:

   After activating the virtual environment, navigate to the project directory and install the project using the following command:

   pip install .