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.
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 |
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 |