mp.tasks.vision.FaceStylizer

Class that performs face stylization on images.

mp.tasks.vision.FaceStylizer(
    graph_config: mp.calculators.core.constant_side_packet_calculator_pb2.mediapipe_dot_framework_dot_calculator__pb2.CalculatorGraphConfig,
    running_mode: mp.tasks.vision.RunningMode,
    packet_callback: Optional[Callable[[Mapping[str, packet_module.Packet]], None]] = None
) -> None

graph_config The mediapipe vision task graph config proto.
running_mode The running mode of the mediapipe vision task.
packet_callback The optional packet callback for getting results asynchronously in the live stream mode.

ValueError The packet callback is not properly set based on the task's running mode.

Methods

close

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close() -> None

Shuts down the mediapipe vision task instance.

Raises
RuntimeError If the mediapipe vision task failed to close.

convert_to_normalized_rect

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convert_to_normalized_rect(
    options: mp.tasks.vision.holistic_landmarker.image_processing_options_module.ImageProcessingOptions,
    image: mp.Image,
    roi_allowed: bool = True
) -> mp.tasks.components.containers.NormalizedRect

Converts from ImageProcessingOptions to NormalizedRect, performing sanity checks on-the-fly.

If the input ImageProcessingOptions is not present, returns a default NormalizedRect covering the whole image with rotation set to 0. If 'roi_allowed' is false, an error will be returned if the input ImageProcessingOptions has its 'region_of_interest' field set.

Args
options Options for image processing.
image The image to process.
roi_allowed Indicates if the region_of_interest field is allowed to be set. By default, it's set to True.

Returns
A normalized rect proto that represents the image processing options.

create_from_model_path

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@classmethod
create_from_model_path(
    model_path: str
) -> 'FaceStylizer'

Creates an FaceStylizer object from a TensorFlow Lite model and the default FaceStylizerOptions.

Note that the created FaceStylizer instance is in image mode, for stylizing one face on a single image input.

Args
model_path Path to the model.

Returns
FaceStylizer object that's created from the model file and the default FaceStylizerOptions.

Raises
ValueError If failed to create FaceStylizer object from the provided file such as invalid file path.
RuntimeError If other types of error occurred.

create_from_options

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@classmethod
create_from_options(
    options: mp.tasks.vision.FaceStylizerOptions
) -> 'FaceStylizer'

Creates the FaceStylizer object from face stylizer options.

Args
options Options for the face stylizer task.

Returns
FaceStylizer object that's created from options.

Raises
ValueError If failed to create FaceStylizer object from FaceStylizerOptions such as missing the model.
RuntimeError If other types of error occurred.

get_graph_config

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get_graph_config() -> mp.calculators.core.constant_side_packet_calculator_pb2.mediapipe_dot_framework_dot_calculator__pb2.CalculatorGraphConfig

Returns the canonicalized CalculatorGraphConfig of the underlying graph.

stylize

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stylize(
    image: mp.Image,
    image_processing_options: Optional[mp.tasks.vision.holistic_landmarker.image_processing_options_module.ImageProcessingOptions] = None
) -> mp.Image

Performs face stylization on the provided MediaPipe Image.

Only use this method when the FaceStylizer is created with the image running mode.

Args
image MediaPipe Image.
image_processing_options Options for image processing.

Returns
The stylized image of the most visible face. The stylized output image size is the same as the model output size. None if no face is detected on the input image.

Raises
ValueError If any of the input arguments is invalid.
RuntimeError If face stylization failed to run.

__enter__

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__enter__()

Return self upon entering the runtime context.

__exit__

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__exit__(
    unused_exc_type, unused_exc_value, unused_traceback
)

Shuts down the mediapipe vision task instance on exit of the context manager.

Raises
RuntimeError If the mediapipe vision task failed to close.