dacapo.experiments.datasplits.datasets.raw_gt_dataset_config ============================================================ .. py:module:: dacapo.experiments.datasplits.datasets.raw_gt_dataset_config Classes ------- .. autoapisummary:: dacapo.experiments.datasplits.datasets.raw_gt_dataset_config.RawGTDatasetConfig Module Contents --------------- .. py:class:: RawGTDatasetConfig This is a configuration class for the standard dataset with both raw and GT Array. The configuration includes array configurations for raw data, ground truth data and mask data. The configuration for ground truth (GT) data is mandatory, whereas configurations for raw and mask data are optional. It also includes an optional list of points around which training samples will be extracted. .. attribute:: dataset_type The type of dataset that is being configured. :type: class .. attribute:: raw_config Configuration for the raw data associated with this dataset. :type: Optional[ArrayConfig] .. attribute:: gt_config Configuration for the ground truth data associated with this dataset. :type: Optional[ArrayConfig] .. attribute:: mask_config An optional mask configuration that sets the loss equal to zero on voxels where the mask is 1. :type: Optional[ArrayConfig] .. attribute:: sample_points An optional list of points around which training samples will be extracted. :type: Optional[List[Coordinate]] .. method:: verify A method to verify the validity of the configuration. .. rubric:: Notes This class is used to create a configuration object for the standard dataset with both raw and GT Array. .. py:attribute:: dataset_type .. py:attribute:: raw_config :type: Optional[dacapo.experiments.datasplits.datasets.arrays.ArrayConfig] .. py:attribute:: gt_config :type: Optional[dacapo.experiments.datasplits.datasets.arrays.ArrayConfig] .. py:attribute:: mask_config :type: Optional[dacapo.experiments.datasplits.datasets.arrays.ArrayConfig] .. py:attribute:: sample_points :type: Optional[List[funlib.geometry.Coordinate]]