Camouflage Pattern Generator

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Table of Contents

1. Update
2. How It Works?
   • Extract Colors
   • Generate Fractal Noise and fill with colors
3. How to Use

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Update

Now you can use Pycamo with a GUI!. Just run GUI.py and enjoy.

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How It Works?

This camouflage pattern generator is based on fractal noise. Below is an overview of its working process:

1. Extract Colors

The first step involves extracting the main colors from an input image.

You can customize the number of colors to extract by modifying the num_colors parameter. For example:

color_palette = cp.extract_palette("demo_input/k20r.jpg", num_colors=4)  # Extract 4 main colors

2. Generate Fractal Noise

In this step, fractals are randomly generated within a given frame size and filled with the extracted colors. You can control the parameters to customize the final camouflage pattern.

Example:

generate_pattern(color_palette, "gencamo.png", size=(500, 500), c=3)

How to Use

Follow these steps to use the Camouflage Pattern Generator:

1. Clone the Project Repository

git clone https://github.com/Minhtrna/Pycamo.git

Install library

pip install -r requirements.txt

Then you can run Camogen

python camogen.py

You can edit parameter here

Parameter	Description
color_palette	A list of colors extracted from an image or defined manually.
num_colors	The number of colors to extract from the image using the extract_palette function.
ratios	A list of percentages defining how much each color should contribute to the pattern.
size	The dimensions of the generated camouflage pattern in pixels (width, height).
c	A parameter that controls the complexity of the fractal noise.
ratios=ratios	Passes the predefined ratios for each color to the generate_pattern function.
"demo_input/teste3.png"	The input image file used to extract colors.
"gencamo.png"	The output file name where the generated pattern will be saved.

To use GUI instead of command.

cd to GUI folder

then

python GUI.py

ENJOY!