Tools for managing and analyzing digitization workflows for natural history collections.
productivity.py - Generates a productivity report based on the creation timestamps of image files.
crop.py - (coming soon) Creates a cropped image of just the primary herbarium label, used for metadata extraction in crowdsourced workflows.
barcode.py - (coming soon) Extracts barcodes from images and renames files using barcode data.
Instructions:
These are very minimal right now, but should get you started. A virtual environment is optional but perhaps useful to reduce clutter and conflicts in your primary Python environment.
Create a virtual environment (optional):
virtualenv env
Activate the virtual environment (optional):
source env/bin/activate
Install required Python modules: pip install -r requirements.txt
See details for each tool in their respective directories.