Camouflage Objects

This repository contains a camouflage of objects, dominant colors in objects, and color patterns of a given image, using k-means clustering with Python.
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References

Using Python and K-Means to Find the Dominant Colors In Images »

Finding Dominant Image Colours Using Python »

Dominant Colors in an Image Using K-Means Clustering »

OpenCV and Python K-Means Color Clustering »

Table Of Contents

1. K-Means

K-Means is a clustering algorithm used in machine learning techniques. K-Means algorithm is one of the simplest and popular unsupervised learning. Substantially, K-Means algorithm tries to group similar points in the form of clusters. In K-Means algorithm, the number of groups in problem is represented by the K value.

2. Project Settings

For using this project, you can use these steps:

1. Python Installation

   Python 3.8.8

2. Anaconda Installation

   Anaconda

3. OpenCV Installation

   I used the Anaconda channel to install OpenCV, but you can also use other options for OpenCV installation.

   OpenCV installation using Anaconda:

   conda install -c conda-forge opencv

4. Run Command

   python main.py

3. Screenshots from project

1. Original Photo

2. Task 1: Detect object

3. Task 2: Dominant colors

4. Task 3: Color pattern

4. Task 4: Camouflage (Result)

4. Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.