|---| | [ View source on GitHub](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/vision/image_segmenter.py#L205-L232) | Options for the image segmenter task. ```python mp.tasks.vision.ImageSegmenterOptions( base_options: `mp.tasks.BaseOptions`, running_mode: `mp.tasks.vision.RunningMode` = `mp.tasks.vision.FaceDetectorOptions.running_mode`, display_names_locale: str = 'en', output_confidence_masks: bool = True, output_category_mask: bool = False, result_callback: Optional[Callable[[ImageSegmenterResult, image_module.Image, int], None]] = None ) ```


| ## Attributes || |---|---| | `base_options` | Base options for the image segmenter task. | | `running_mode` | The running mode of the task. Default to the image mode. Image segmenter task has three running modes: 1) The image mode for segmenting objects on single image inputs. 2) The video mode for segmenting objects on the decoded frames of a video. 3) The live stream mode for segmenting objects on a live stream of input data, such as from camera. | | `display_names_locale` | The locale to use for display names specified through the TFLite Model Metadata. | | `output_confidence_masks` | Whether to output confidence masks. | | `output_category_mask` | Whether to output category mask. | | `result_callback` | The user-defined result callback for processing live stream data. The result callback should only be specified when the running mode is set to the live stream mode. |
## Methods ### `__eq__` ```python __eq__( other ) ``` Return self==value.


| ## Class Variables || |---|---| | display_names_locale | `'en'` | | output_category_mask | `False` | | output_confidence_masks | `True` | | result_callback | `None` | | running_mode | `` |