Mash is a straightforward utility library for common tasks in computer vision and deep model training. The library was broken out of previous Moonshine projects like Moonshine and Zeroshot.

Mash broadly supports a few utilities, but the main ones are:

1. Easy image conversion: simply call to_pil, to_numpy, and to_tensor to convert image formats. Accepts other images, URLs, or local files.
2. Image processing files: convenience functions like crop_to_multiple_of_dimensions for transformer based patch models like ViT.
3. Console UI: for long running jobs, a fullscreen console utility that has a progress bar at the bottom and text logging.
4. Cloud functions: use glob or exists on AWS or GCS links.

For a complete list of functions, see the documentation

To install via pip:

pip install mashlib

To use:

# Import base package
import mash

# Import image processing
import mash.images as mi
image = mi.to_numpy("/path/to/image.png")