This program was written in Python and compiled using Nuitka, and therefore the standalone executable bundles the entire Python runtime.

Antivirus programs often falsely detect compiled python executables as a virus, due to this compilation process bundling the runtime.

If you don't trust the executable due to this antivirus warning, you can download Python and install the following modules using PIP:

pip install tkinter
pip install Pillow
pip install scikit-learn

Then, run main.py and the program will run identically to the executable.

When a camo is loaded , it will be automatically analysed to find the dominant colours of the image. If this automatic analysis has too many or too few colours, you can tweak the detection parameters:

The maximum number of colours the algorithm will detect.

You can manually set the input colours if the detection misses important colours

When an image is loaded, the input image will show in its unmodified form on the left, and the resulting output image on the right.

Press on a colour in output list, and select a new colour to see the the result in realtime.

Save using the buttons at the bottom.

'Save' will save the output image to a single file 'Save as layers' will attempt to split the image into layers, separated by colour

The colour transposer attempts to match the colours from a different image (transposed image) to the existing colours in the currently loaded image (input image)

It has two modes to match colours by:

The brightest colour of the transposed image will be matched to the brightest of the input image, the darkest to the darkest etc.

The most frequent colour in the input image will be matched to the most frequent colour in the transposed image, the least frequent to the least frequent etc.