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 the Gesture Control project.
Getting the app to run is pretty easy. This script will not install OpenCV. However to install the rest of the project dependencies and run the demo script use the following commands.
# Clone the repo
git clone https://github.com/WillBrennan/SkinDetector && cd SkinDetector
# Install requirements
python setup.py install
# Run the bot
python main.py <directory of images> --displayUsage of this as a submodule is simple, just clone into your projects directory (or preferably add as a git submodule), and your ready to go. Below is an example code usage.
import os
import cv2
import numpy
import SkinDetector
img_path = raw_input("Please Enter Image Path")
assert os.path.exists(img_path), "img_path does not exsist"
image = cv2.imread(img_path)
mask = SkinDetector.process(image)
cv2.imshow("input", image)
cv2.imshow("mask", mask)
cv2.waitKey(0)Skin Segementation Using Multiple Thresholds
