Package qupath.opencv.dnn

package qupath.opencv.dnn

QuPath classes to use OpenCV's DNN module.

Related Packages

Package	Description
qupath.opencv	Detection plugins using OpenCV.
qupath.opencv.features	Classes for feature calculation using OpenCV.
qupath.opencv.io	Support for serializing and deserializing OpenCV objects.
qupath.opencv.ml	QuPath classes to apply machine learning to pixels and objects using OpenCV.
qupath.opencv.ops	Image operations, implemented with OpenCV.
qupath.opencv.tools	Additional processing methods for use with OpenCV Mats.

Class	Description
BlobFunction<T>	Convert OpenCV Mats into blobs (tensors) for use with a deep learning framework.
DnnModel<T>	Wrapper for a deep learning model in a pipeline using OpenCV.
DnnModelBuilder<T>	Builder to create a DnnModel from DnnModelParams.
DnnModelParams	Parameters to build a DnnModel.
DnnModelParams.Builder	Builder for DnnModelParams.
DnnModels	Helper class for building new DnnModels.
DnnObjectClassifier<T>	Initial implementation of a patch-based ObjectClassifier using an OpenCV-compatible DNN.
DnnShape	Helper class to represent input and output shapes associated with PredictionFunction.
DnnTools	Tools for working with OpenCV's DNN module.
DnnTools.DNNLayer	Helper class to summarize a DNN layer.
OpenCVDnn	Wrapper for an OpenCV Net, including essential metadata about how it should be used.
OpenCVDnn.Builder	Helper class to build an OpenCVDnn.
OpenCVDnn.ModelType	Enum representing different classes of Model supported by OpenCV.
OpenCVDnnModelBuilder	A DnnModelBuilder implementation that uses OpenCV's DNN module to build a Net.
OpenCVModelObjectClassifier	Initial implementation of a patch-based ObjectClassifier using an OpenCV-compatible DNN.
PredictionFunction<T>	Prediction function, typically used with a deep learning framework.