https://github.com/willbrennan/skindetector

A Python based skin detection system using OpenCV
https://github.com/willbrennan/skindetector

computer-vision detection opencv python skin-detection skin-segmentation

Last synced: 12 months ago
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A Python based skin detection system using OpenCV

• Host: GitHub
• URL: https://github.com/willbrennan/skindetector
• Owner: WillBrennan
• License: mit
• Created: 2015-03-15T14:50:06.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2021-07-26T19:30:59.000Z (almost 5 years ago)
• Last Synced: 2025-04-02T01:11:27.040Z (about 1 year ago)
• Topics: computer-vision, detection, opencv, python, skin-detection, skin-segmentation
• Language: Python
• Size: 1.93 MB
• Stars: 170
• Watchers: 7
• Forks: 44
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
# SkinDetector

[![Build Status](https://travis-ci.org/WillBrennan/SkinDetector.svg?branch=master)](https://travis-ci.org/WillBrennan/SkinDetector)

# This project is depreciated and has been replaced by [SemanticSegmentation](https://github.com/WillBrennan/SemanticSegmentation)!!!!

# Or [ObjectDetection](https://github.com/WillBrennan/ObjectDetection) if you want to find instances of skin!

This is a high-speed python based skin detection system using OpenCV, it is done using adaptive thresholding, reference

papers can be found below. It is designed for processing VGA sized images in real time for Gesture Control.

## Quick Start

Getting the app to run is pretty easy. This script will not [install OpenCV](http://docs.opencv.org/doc/tutorials/introduction/linux_install/linux_install.html).

However to install the rest of the project dependencies and run the demo script use the following commands;

```bash

# Clone the repo

git clone https://github.com/WillBrennan/SkinDetector && cd SkinDetector

make install

python FromFile.py  --display

```

## Usage

```python

import cv2

import skin_detector

img_path = raw_input("Please Enter Image Path")

image = cv2.imread(img_path)

mask = skin_detector.process(image)

cv2.imshow("input", image)

cv2.imshow("mask", mask)

cv2.waitKey(0)

```

## Demonstration

![Demo on Astronaut](https://raw.githubusercontent.com/WillBrennan/SkinDetector/master/docs/assets/demo.png "Demonstration")

## Based Upon

This repo is based upon the paper; 

 - Skin Segmentation Using Multiple Thresholds (2003) - http://www.ivl.disco.unimib.it/papers2003/EI06-EI109%20Skin-paper.pdf

 

 . Which is no longer accessiable; its similar to the technique used in the more modern paper, [Skin color segmentation using multi-color space threshold](https://www.semanticscholar.org/paper/Skin-color-segmentation-using-multi-color-space-Rahmat-Chairunnisa/c06873e619c679fd1aa7648a6e402a7d57ea0e20?tab=abstract&citingPapersSort=is-influential&citingPapersLimit=10&citingPapersOffset=0&year%5B0%5D=&year%5B1%5D=&citedPapersSort=is-influential&citedPapersLimit=10&citedPapersOffset=10).