Represents one Segmentation object in the image segmenter's results.
tflite_support.task.processor.Segmentation(
height: int,
width: int,
colored_labels: List[tflite_support.task.processor.ColoredLabel
],
category_mask: Optional[np.ndarray] = None,
confidence_masks: Optional[List[ConfidenceMask]] = None
)
Attributes |
height
|
The height of the mask. This is an intrinsic parameter of the model
being used, and does not depend on the input image dimensions.
|
width
|
The width of the mask. This is an intrinsic parameter of the model
being used, and does not depend on the input image dimensions.
|
colored_labels
|
A list of ColoredLabel objects.
|
category_mask
|
A NumPy 2D-array of the category mask.
|
confidence_masks
|
A list of ConfidenceMask objects.
|
Methods
__eq__
View source
__eq__(
other: Any
) -> bool
Checks if this object is equal to the given object.
Args |
other
|
The object to be compared with.
|
Returns |
True if the objects are equal.
|
Class Variables |
category_mask
|
None
|
confidence_masks
|
None
|