Seg-lib

Release notes:
- This version includes the source code used in the article ["ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy Images"](https://www.mdpi.com/2076-3417/15/3/1046), including the data download links
- Inference classes were created for the SAM architectures
- LPQ texture descriptor source, ported from MatLab to Python
- Incremented the support to SAMv2 and SAMv2.1
- Documentation was enhanced

Release notes:
- This version includes the source code used in the Chapter ["Sample Size for Training and Testing: Segment Anything models and supervised approaches"](https://link.springer.com/chapter/10.1007/978-3-031-65430-5_6)"
- The project was re-structured to include different projects
- The data download was also included for the `sample-size-for-training-and-testing` project
- Documentation was enhanced