Releases: VectorInstitute/SegMate
Releases · VectorInstitute/SegMate
SegMate v0.3.1
SegMate v0.3.0
SAM prompt tuning:
- Added example showcasing how to perform prompt tuning on satellite images using SegMate
- Added functions in SAM class and updated util functions to support prompt tuning
- Updated fine-tuning code to be more generalized and support different prompt types
SegMate v0.2.0
Restructured functions and classes:
- The SegMate class is now split into Segmented parent class and SAM child class, and object detector is no longer a class attribute
- Moved all non-model related functions to utils
- Removed some unused functions
- Updated some utils functions for more flexibility
- Added deforestation demo, and example training a custom decoder to auto-segment specific objects
- Added support for mask prompt
SegMate v0.1.0
First release of the SegMate package, main features include:
- Easy inference of SAM model with point prompts, box prompts, or auto-segmentation
- Added text prompt segmentation capability for SAM with the support of GroundingDINO
- Fine-tuning function from the provided BIS dataset