mp.tasks.vision.HolisticLandmarker

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Class that performs holistic landmarks detection on images.

  mp 
 . 
 tasks 
 . 
 vision 
 . 
 HolisticLandmarker 
 ( 
 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 
 

Methods

close

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  close 
 () 
 -> 
 None 
 

Shuts down the mediapipe vision task instance.

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.

create_from_model_path

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

Creates an HolisticLandmarker object from a TensorFlow Lite model and the default HolisticLandmarkerOptions .

Note that the created HolisticLandmarker instance is in image mode, for detecting holistic landmarks on single image inputs.

create_from_options

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  @classmethod 
 
  create_from_options 
 ( 
 options 
 : 
   mp 
 . 
 tasks 
 . 
 vision 
 . 
 HolisticLandmarkerOptions 
 
 
 ) 
 -> 
 'HolisticLandmarker' 
 

Creates the HolisticLandmarker object from holistic landmarker options.

detect

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  detect 
 ( 
 image 
 : 
   mp 
 . 
 Image 
 
 
 ) 
 -> 
   mp 
 . 
 tasks 
 . 
 vision 
 . 
 HolisticLandmarkerResult 
 
 
 

Performs holistic landmarks detection on the given image.

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

The image can be of any size with format RGB or RGBA.

detect_async

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  detect_async 
 ( 
 image 
 : 
   mp 
 . 
 Image 
 
 
 , 
 timestamp_ms 
 : 
 int 
 ) 
 -> 
 None 
 

Sends live image data to perform holistic landmarks detection.

The results will be available via the "result_callback" provided in the HolisticLandmarkerOptions. Only use this method when the HolisticLandmarker is created with the live stream running mode.

Only use this method when the HolisticLandmarker is created with the live stream running mode. The input timestamps should be monotonically increasing for adjacent calls of this method. This method will return immediately after the input image is accepted. The results will be available via the result_callback provided in the HolisticLandmarkerOptions . The detect_async method is designed to process live stream data such as camera input. To lower the overall latency, holistic landmarker may drop the input images if needed. In other words, it's not guaranteed to have output per input image.

The result_callback provides:

• The holistic landmarks detection results.
• The input image that the holistic landmarker runs on.
• The input timestamp in milliseconds.

detect_for_video

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  detect_for_video 
 ( 
 image 
 : 
   mp 
 . 
 Image 
 
 
 , 
 timestamp_ms 
 : 
 int 
 ) 
 -> 
   mp 
 . 
 tasks 
 . 
 vision 
 . 
 HolisticLandmarkerResult 
 
 
 

Performs holistic landmarks detection on the provided video frame.

Only use this method when the HolisticLandmarker is created with the video running mode.

Only use this method when the HolisticLandmarker is created with the video running mode. It's required to provide the video frame's timestamp (in milliseconds) along with the video frame. The input timestamps should be monotonically increasing for adjacent calls of this method.

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.

__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.