virelay.model
Contains the data model abstraction.
Module Attributes
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Represents the different methods that can be used to down-sample an image. |
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Represents the different methods that can be used to up-sample an image. |
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The different possible attribution strategies. |
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The different possible dataset types. |
Classes
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Represents an analysis of multiple attributions. |
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Represents a single category in an analysis. |
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Represents a single analysis database, which contains the analysis of attributions. |
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Represents an analysis definition, which is contained in the project definition of the project YAML file. |
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Represents a single attribution from an attribution database. |
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Represents a single attribution database, which contains the attributions for the dataset samples. |
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Represents an attribution definition, which is contained in the project definition of the project YAML file. |
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Represents a dataset definition, which is contained in the project definition of the project YAML file. |
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Represents a dataset that is stored in an HDF5 database. |
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Represents an image dataset, where the image files are in a directory hierarchy were the names of the directories represent the labels of the images. |
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Represents a label of the dataset. |
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Represents a label in the label map JSON file. |
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Represents a map between output neuron indices and their respective human-readable label name. |
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Represents a single project, which can be loaded from a YAML file. |
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Represents the project YAML file, which contains the definition of the project. |
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Represents a project definition, which is contained in project YAML file. |
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Represents a sample in a dataset. |
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Represents a workspace, which may consist of multiple projects. |