[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-08 UTC."],[],[],null,["# tflite_support.task.processor.SegmentationOptions\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/segmentation_options.proto) |\n\nOptions for segmentation processor. \n\n tflite_support.task.processor.SegmentationOptions(\n display_names_locale: Optional[str] = None,\n output_type: Optional[../../../tflite_support/task/processor/OutputType] = ../../../tflite_support/task/processor/OutputType#CATEGORY_MASK\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|------------------------|---------------------------------------------------------------------------------------------------------|\n| `display_names_locale` | The locale to use for display names specified through the TFLite Model Metadata. |\n| `output_type` | The output mask type allows specifying the type of post-processing to perform on the raw model results. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `create_from_pb2`\n\n[View source](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/segmentation_options.proto) \n\n @classmethod\n create_from_pb2(\n pb2_obj: _SegmentationOptionsProto\n ) -\u003e 'SegmentationOptions'\n\nCreates a `SegmentationOptions` object from the given protobuf object.\n\n### `to_pb2`\n\n[View source](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/segmentation_options.proto) \n\n to_pb2() -\u003e _SegmentationOptionsProto\n\nGenerates a protobuf object to pass to the C++ layer.\n\n### `__eq__`\n\n[View source](https://github.com/tensorflow/tflite-support/blob/v0.4.4/tensorflow_lite_support/python/task/processor/proto/segmentation_options.proto) \n\n __eq__(\n other: Any\n ) -\u003e bool\n\nChecks if this object is equal to the given object.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|---------|---------------------------------|\n| `other` | The object to be compared with. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|---|---|\n| True if the objects are equal. ||\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Class Variables --------------- ||\n|----------------------|---------------------------------|\n| display_names_locale | `None` |\n| output_type | `\u003cOutputType.CATEGORY_MASK: 1\u003e` |\n\n\u003cbr /\u003e"]]