Factual package intelligence from PyPI

segmentmytif 0.3.0 package intelligence

Segment (georeferenced) raster data in an interactive fashion. Retrain models in seconds. Only small amounts of labeled data necessary because of our use of pretrained base models as feature extractor

pip install segmentmytif

Current version
0.3.0
Python requirement
>=3.8
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
4.4 MiB
Release history
4 releases with files
Median release cadence
22 days

segmentmytif dependencies

PyPI declares 36 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. dask
  2. tqdm
  3. numpy
  4. pandas
  5. rasterio
  6. scikit-learn
  7. torch
  8. torchvision
  9. torchinfo
  10. geopandas
  11. rioxarray
  12. huggingface_hub

The compact report shows 12 of 36 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

segmentmytif publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .