|---| | [ View source on GitHub](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/vision/image_embedder.py#L134-L195) | Options for the image embedder task. mp.tasks.vision.ImageEmbedderOptions( base_options: https://developers.google.com/edge/api/mediapipe/python/mp/tasks/BaseOptions, running_mode: https://developers.google.com/edge/api/mediapipe/python/mp/tasks/vision/RunningMode = https://developers.google.com/edge/api/mediapipe/python/mp/tasks/vision/FaceDetectorOptions#running_mode, l2_normalize: Optional[bool] = None, quantize: Optional[bool] = None, result_callback: Optional[Callable[[ImageEmbedderResult, image_module.Image, int], None]] = None, _result_callback_c: Optional[Callable[[ctypes.c_int32, ctypes.c_void_p, ctypes.c_void_p, ctypes .c_int64], None]] = None )


| ## Attributes || |---|---| | `base_options` | Base options for the image embedder task. | | `running_mode` | The running mode of the task. Default to the image mode. Image embedder task has three running modes: 1) The image mode for embedding image on single image inputs. 2) The video mode for embedding image on the decoded frames of a video. 3) The live stream mode for embedding image on a live stream of input data, such as from camera. | | `l2_normalize` | Whether to normalize the returned feature vector with L2 norm. Use this option only if the model does not already contain a native L2_NORMALIZATION TF Lite Op. In most cases, this is already the case and L2 norm is thus achieved through TF Lite inference. | | `quantize` | Whether the returned embedding should be quantized to bytes via scalar quantization. Embeddings are implicitly assumed to be unit-norm and therefore any dimension is guaranteed to have a value in \[-1.0, 1.0\]. Use the l2_normalize option if this is not the case. | | `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 ### `to_ctypes` [View source](https://github.com/google-ai-edge/mediapipe/blob/master/mediapipe/tasks/python/vision/image_embedder.py#L178-L195) to_ctypes( dispatcher: async_result_dispatcher.AsyncResultDispatcher ) -> MpImageEmbedderOptionsC Generates an MpImageEmbedderOptionsC object. ### `__eq__` __eq__( other ) Return self==value.


| ## Class Variables || |---|---| | l2_normalize | `None` | | quantize | `None` | | result_callback | `None` | | running_mode | `` |