Merging updates from dependabot

Signed-off-by: João Lucas de Sousa Almeida <[email protected]>

Author: Joao-L-S-Almeida

.gitignore

@@ -3,6 +3,7 @@ site/*
 build/*
 dist/*
 *.egg-info
+*.coverage.*
+**/*.pt
 *.ipynb_checkpoints
-**/*pt
 **/*pth

README.md

@@ -4,11 +4,13 @@
 
 ## Overview
 TerraTorch is a library based on [PyTorch Lightning](https://lightning.ai/docs/pytorch/stable/) and the [TorchGeo](https://github.com/microsoft/torchgeo) domain library
-for geospatial data. TerraTorch’s main purpose is to provide a flexible fine-tuning framework for Geospatial Foundation Models, which can be interacted with at different abstraction levels.
+for geospatial data. 
+
+TerraTorch’s main purpose is to provide a flexible fine-tuning framework for Geospatial Foundation Models, which can be interacted with at different abstraction levels.
 
 The library provides:
 
-- Easy access to open source pre-trained Geospatial Foundation Model backbones (e.g., [Prithvi](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M), [SatMAE](https://sustainlab-group.github.io/SatMAE/) and [ScaleMAE](https://github.com/bair-climate-initiative/scale-mae) and other backbones available in the [timm](https://github.com/huggingface/pytorch-image-models) (Pytorch image models) or [SMP](https://github.com/qubvel/segmentation_models.pytorch) (Pytorch Segmentation models with pre-training backbones) packages.
+- Easy access to open source pre-trained Geospatial Foundation Model backbones (e.g., [Prithvi](https://huggingface.co/ibm-nasa-geospatial/Prithvi-100M), [SatMAE](https://sustainlab-group.github.io/SatMAE/) and [ScaleMAE](https://github.com/bair-climate-initiative/scale-mae), other backbones available in the [timm](https://github.com/huggingface/pytorch-image-models) (Pytorch image models) or [SMP](https://github.com/qubvel/segmentation_models.pytorch) (Pytorch Segmentation models with pre-training backbones) packages, as well as fine-tuned models such as [granite-geospatial-biomass](https://huggingface.co/ibm-granite/granite-geospatial-biomass)
 - Flexible trainers for Image Segmentation, Classification and Pixel Wise Regression fine-tuning tasks
 - Launching of fine-tuning tasks through flexible configuration files
 

requirements/required.txt

@@ -1,13 +1,13 @@
-torchgeo==0.5.1
+torchgeo==0.5.2
 rioxarray==0.15.0
 albumentations==1.3.1
-rasterio==1.3.9
+rasterio==1.3.10
 torch==2.3.1
 torchvision==0.18.1
 torchmetrics==1.4.0
 geopandas==0.14.2
 lightly==1.4.25
 h5py==3.10.0
 geobench==1.0.0
-mlflow==2.12.1
+mlflow==2.14.3
 lightning==2.2.5