DeadLeaves
An open-source Python package for creating dead leaves images in a systematic, yet flexible way.
Core functionalities
- generating dead leaves images with properties (e.g. sizes, orientations, colors) drawn from a wide range of distributions (e.g. uniform, normal, Poisson, power-law, constant) or directly from an image.
- picking from various leaf shapes (circles, ellipsoids, rectangles, regular polygons).
- sampling in different color spaces (RGB, HSV, Gray-scale).
- applying different noise or image textures, either to the entire image or per-leaf.
- varying the image area covered by leaves, i.e. choosing between sparser or denser sampling and position mask.
- creating arbitrarily complex leaf configurations by adding dependencies between leaf features (e.g. space-dependent color gradients).
Installation
You may install deadleaves from PyPI using pip:
pip install deadleaves
OR (for developers), install from source:
- Clone the repository from GitHub:
git clone git@github.com:ag-perception-wallis-lab/deadleaves.git
- Install
deadleavesto your local python library using pip, by running from the top-level directory:
pip install .
To install in developer/editable mode run pip install -e . at the root directory.
This makes changes to files immediately usable, rather than having to reinstall the package after every change.
Dependencies
The package requires using a Python version 3.12 or newer.
The dependencies should be automatically installed (at least using pip). deadleavess required dependencies are:
2 maintainers
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