Metadata-Version: 2.4
Name: segmenteverygrain
Version: 0.2.5
Summary: a SAM-based model for segmenting grains in images of grains
Home-page: https://github.com/zsylvester/segmenteverygrain
Author: Zoltan Sylvester
Author-email: zoltan.sylvester@beg.utexas.edu
Keywords: sedimentology,geomorphology,grain size,segment anything model
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: pillow
Requires-Dist: scikit-image
Requires-Dist: tqdm
Requires-Dist: opencv-python
Requires-Dist: networkx
Requires-Dist: rasterio
Requires-Dist: shapely
Requires-Dist: tensorflow
Requires-Dist: segment-anything
Requires-Dist: scikit-learn
Requires-Dist: rtree
Requires-Dist: pandas
Requires-Dist: geopandas
Requires-Dist: keras
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license-file
Dynamic: requires-dist
Dynamic: summary

'segmenteverygrain' is a Python package that aims to detect grains (or grain-like objects) in images. 
The goal is to develop an ML model that does a reasonably good job at detecting most of the grains in a photo, 
so that it will be useful for determining grain size and grain shape, a common task in geomorphology and sedimentary geology.
