https://github.com/nourmorsy/people_segmentation

https://github.com/nourmorsy/people_segmentation

deep-learning image-processing segmentation

Last synced: 5 days ago
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• Host: GitHub
• URL: https://github.com/nourmorsy/people_segmentation
• Owner: nourmorsy
• Created: 2023-12-15T01:04:01.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-11-01T23:01:27.000Z (18 days ago)
• Last Synced: 2024-11-02T00:16:37.598Z (17 days ago)
• Topics: deep-learning, image-processing, segmentation
• Language: Jupyter Notebook
• Homepage:
• Size: 334 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# People Segmentation

## Overview

This project focuses on segmenting people within images using advanced image processing and deep learning techniques. The goal is to create a model that can accurately identify and separate people from the background, useful in applications like photo editing, augmented reality, and automated content creation.

## Dependencies

To run this project, ensure the following dependencies are installed:

- Python 3.x

- Jupyter Notebook

- Libraries:

  - `pandas`

  - `numpy`

  - `opencv-python`

  - `tensorflow` or `pytorch` (depending on the framework used)

  - `matplotlib`

  - `scikit-image`

Install dependencies using:

```bash

pip install pandas numpy opencv-python tensorflow matplotlib scikit-image

```

## Files

- **people_segmentation.ipynb**: Main Jupyter Notebook containing code for loading images, preprocessing, model training, and evaluation. Follow the cells in this notebook to execute each step of the segmentation pipeline.