Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
| Scripts mostly taken from Pete, and also from the forums. For easy access and reference. | |
| TOC | |
| Alignment: Several scripts to assist in alignment as of M9. Store scripts make files using the Affine transformation while | |
| TransferObjects uses the stored file in the Affine folder with the current image name to move objects into it. | |
| The final result is that one set of files can be generated for the transforms, and those transforms can be accessed to move objects | |
| back and forth between the images. | |
| Change annotations into Cell objects.groovy - Converts annotations into PathCellObjects, which allows certian functions to work within |
| import qupath.lib.scripting.QP | |
| import qupath.lib.geom.Point2 | |
| import qupath.lib.roi.PolygonROI | |
| import qupath.lib.objects.PathAnnotationObject | |
| import qupath.lib.images.servers.ImageServer | |
| //Aperio Image Scope displays images in a different orientation | |
| def rotated = true |