All Classes and Interfaces

Class
Description
Helper class for handling the boundaries of training annotations when creating a pixel classifier.
Command to (sub)classify cells as Negative/Positive or Negative/1+/2+/3+ based on a single (usually intensity-based) measurement.
Wrapper for a PixelCalibration to be used to define classifier resolution.
Command to create training images based upon channel names, and add these to a project.
Command to create a composite classifier by merging together two or more other classifiers.
Command to help create annotations defining regions that will be further annotated for algorithm training.
Command to generate a SparseImageServer from multiple image regions across a project.
Command for generating density maps from detections on an image.
Dialog for interactively generating a custom density map.
UI elements associated with density maps.
Command to help export training regions as labelled images to train AI algorithms elsewhere.
QuPath extension & associated static helper methods used to support integration of ImageJ with QuPath.
Commands to install with the ImageJ extension.
Deprecated.
since v0.6.0; use ImageJScriptRunner and ImageJScriptRunnerControllerinstead.
Class to run ImageJ macros and scripts.
Enum representing the objects that the script should be applied to.
 
Class to store parameters used to run ImageJ macros or scripts from QuPath.
 
Controller class for the ImageJ script runner.
Options for the script language.
Options for specifying how the resolution of an image region is determined.
Create commands for displaying pixel classifiers and density maps.
Command used to create and show a suitable dialog box for interactive display of OpenCV classifiers.
Command to apply a pre-trained object classifier to an image.
Open GUI for the current viewer to train a new pixel classifier.
Main user interface for interactively training a PixelClassifier.
Helper class for training a pixel classifier.
Wrapper for training data.
Helper class for generating standardized UI components for pixel classification.
General-purpose processing and machine learning commands.
Commands based on OpenCV.
Class to help with formatting text fields for entering pixel and object classifier names.
ImageJ plugin for sending back all the ROIs on an ImageJ overlay to QuPath.
ImageJ plugin for sending back the active ROI from ImageJ to QuPath.
Small JavaFX pane to support saving object/pixel classifiers and density maps within a project in a standardized way.
Apply simple thresholding to an image via the pixel classification framework to support thresholding at any resolution, optionally with visual feedback via an overlay.
Command to (sub)classify objects based on a single measurement.
Divide a project into training, validation and test sets but flagging individual image entries.
Wand tool, which acts rather like the brush - except that it expands regions (sometimes rather too eagerly?) based upon local pixel values.
 
Enum reflecting different color images that may be used by the Wand tool.