clesperanto is a graphical user interface for a multi-platform multi-language framework for GPU-accelerated image processing. It is based on napari and the pyclesperanto-prototype.
- Get a python environment, e.g. via mini-conda. If you never used python/conda environments before, please follow the instructions here first.
- Install pyopencl and napari using conda (seriously, don't use pip here, at least on Windows).
conda install -c conda-forge pyopencl napari
Afterwards, install clesperanto using pip:
pip install clesperanto
You can then start clesperanto from the command line:
cle
You can also pass image files as arguments like this:
cle https://samples.fiji.sc/blobs.png
Or:
clesperanto installs multiple napari plugins. Check out their documentation for details
- The clesperanto assistant
- Accelerated pixel and object classification
- Brightness/contrast
- Mouse controls
- Plot profile
- Scikit-image's regionprops
- Segment blobs and things with membranes
- Multi-viewer support
- Cropping
- Layer details display
Also read more details about the clesperanto-project and mission.
clesperanto is developed in the open because we believe in the open source community. See our community guidelines. Feel free to drop feedback as github issue or via image.sc