spm-image : Sparse modeling and Compressive sensing in Python

spm-image is a Python library for image analysis using sparse modeling and compressive sensing.

Requirements

• Python 3.5 or later

Install

pip install spm-image

For developers

To set up development environment, run the following commands.

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Examples

If you want to run examples, create separated venv from one for development above.

python -m venv examples_venv
source examples_venv/bin/activate
pip install -r examples_requirements.txt

Then add it to jupyter kernels like this.

python -m ipykernel install --user --name spm-image-examples --display-name "spm-image Examples"

Thereafter, you can run jupyter notebook as follows.

jupyter notebook

Testing

You can run all test cases just like this

python -m unittest discover

Or run specific test case as follows

python -m unittest tests.test_decomposition_ksvd.TestKSVD