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RealSense Pose Detector

A simple pose detector which runs with the realsense framework.

Install & Run

Currently this is only tested on Windows and macOS. It's recommended to use Python3 (>3.7) and a virtual environment.

python install -r requirements.txt

To run an example use the basic python command to start up the script.

# start pose detection with realsense camera
python pose.py

Full-Body Pose Landmark Model (BlazePose Tracker)

The landmark model currently included in MediaPipe Pose predicts the location of 33 full-body landmarks (see figure below), each with (x, y, z, visibility). Note that the z value should be discarded as the model is currently not fully trained to predict depth, but this is something we have on the roadmap.

Pose Description

Reference: mediapipe/solutions/pose

Format

  • count - Indicates how many poses are detected (currently only 0 or 1)
  • list of landmarks (33 per pose) (if pose has been detected)
    • x - X-Position of the landmark
    • y - Y-Position of the landmark
    • z - Z-Position of the landmark
    • visibility - Visibility of the landmark
/mediapipe/pose [count, x, y, z, visibility, x, y, z, visibility ...]

Help

usage: pose.py [-h] [--resolution width height] [--fps FPS]
               [--model-complexity MODEL_COMPLEXITY] [--no-smooth-landmarks]
               [--static-image-mode] [-mdc MIN_DETECTION_CONFIDENCE]
               [-mtc MIN_TRACKING_CONFIDENCE] [--ip IP] [--port PORT]

optional arguments:
  -h, --help            show this help message and exit

RealSense:
  --resolution width height
                        Resolution of the realsense stream.
  --fps FPS             Framerate of the realsense stream.

MediaPipe:
  --model-complexity MODEL_COMPLEXITY
                        Set model complexity (0=Light, 1=Full, 2=Heavy).
  --no-smooth-landmarks
                        Disable landmark smoothing.
  --static-image-mode   Enables static image mode.
  -mdc MIN_DETECTION_CONFIDENCE, --min-detection-confidence MIN_DETECTION_CONFIDENCE
                        Minimum confidence value ([0.0, 1.0]) for the
                        detection to be considered successful.
  -mtc MIN_TRACKING_CONFIDENCE, --min-tracking-confidence MIN_TRACKING_CONFIDENCE
                        Minimum confidence value ([0.0, 1.0]) to be considered
                        tracked successfully.

Network:
  --ip IP               The ip of the OSC server
  --port PORT           The port the OSC server is listening on

About

MIT License - Copyright (c) 2021 Florian Bruggisser

Based on the ideas of mediapipe-osc.