MOOSE 2.0: How to Harness Its Power

Command-Line Mastery

Engage with MOOSE 2.0’s command-line tool effortlessly. The tool requires the directory containing your images and the desired segmentation model.

moosez -d <path_to_image_dir> -m <model_name>

For guidance:

moosez -h

Library Integration

Incorporate MOOSE 2.0 into your Python projects:

from moosez import moose
moose(model_name, input_dir, output_dir, accelerator)