Integrate segment anything for post model bounding box to polygons.

https://segment-anything.com/ was a new transformer object detection model. @MarconiS showed good results for bounding box to polygon workflows. The main problem was it was too slow. There is a new CNN module that claims similar performance at 50x speed. This needs to be investigated.

https://arxiv.org/pdf/2306.12156.pdf

Next steps.

[ ] @MarconiS can you give us links and a couple code snippets to assess next steps for getting this into main branch.
[ ] Determine how to evaluate results given bounding box test data we have on hand
[ ] Identify potential workflow: after prediction (predict_image or predict_tile), take bounding box coordinates as prompts for segment anything. Do we use the 4 vertexes of the bounding box, or the centroids of the boxes?
[ ] Add fastSA model weights to git download. Use for either bird or tree release.

Start by reviewing the Segment Anything site and the linked paper, then inspect the existing predict_image and predict_tile workflows. Use the available bounding box test data to define how results should be evaluated and decide how boxes prompt segmentation; done means a documented integration path, evaluation approach, and plan for adding fastSA model weights.