`tlc.client.data_format`¶

Defines the standard representations of composite features in 3LC.

Module Contents¶

Class	Description
`InstanceSegmentationDict`	The base class for dictionary representations of instance segmentation data.
`SegmentationPolygonsDict`	A dictionary representation of instance segmentation data where each instance is represented by a list of polygons.
`SegmentationMasksDict`	A dictionary representation of instance segmentation data where each instance is represented by a binary mask.

class tlc.client.data_format.InstanceSegmentationDict¶

The base class for dictionary representations of instance segmentation data.

Initialize self. See help(type(self)) for accurate signature.

instance_properties: dict[str, dict | list] = None¶: A potentially nested dictionary with string keys where all leaf nodes are lists with one element per instance.

class tlc.client.data_format.SegmentationPolygonsDict¶

A dictionary representation of instance segmentation data where each instance is represented by a list of polygons.

Initialize self. See help(type(self)) for accurate signature.

polygons: list[list[float]] = None¶: A list of lists of floats, where each inner list represents a polygon enclosing a single instance. The inner list is a list of floats representing the coordinates of the polygon vertices, alternating between x and y coordinates, i.e. [x1, y1, x2, y2, …]. The floats can either be in terms of pixels or normalized to the range [0, 1] by dividing by the image width or height respectively, this should be specified in the schema.

class tlc.client.data_format.SegmentationMasksDict¶

A dictionary representation of instance segmentation data where each instance is represented by a binary mask.

Initialize self. See help(type(self)) for accurate signature.

masks: numpy.typing.NDArray[numpy.uint8] = None¶: A numpy array of shape (width, height, num_instances) where each element is 1 if the pixel belongs to an instance and 0 otherwise.