SemanticSegmentationPlugin

Plugin to create semantic masks for images. The Plugin implements the ITransform interface to be loaded in the core application. More...

Classes
class	SemanticSegmentation
	The SemanticSegmentation class is used to create binary masks for the reconstruction. The masks are based on a semantic map created by an neural network model. The models can be added to the models/SemanticSegmentation path. To be recognized and loaded by the plugin they need to be in .onnx format. Plugin allows to use CUDA api with cuDNN to accelerate evaluation of the model using the gpu. More...
class	SettingsWidget
	The SettingsWidget class provides user access to the parameters of SemanticSegmentation. The available .onnx models are listed and one can be seleted for calculating the score in SemanticSegmentation::transform. The classes of the selected model are displayed with their associated color and can be ckecked to be included in the output masks. The overlay alpha for the semantic map can be adjusted. More...

Detailed Description

Plugin to create semantic masks for images. The Plugin implements the ITransform interface to be loaded in the core application.