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Multi Sensor Face Detection and Recognition

bsubbaraman edited this page Oct 31, 2019 · 4 revisions

For a Multi-Sensor configuration, take the following steps to get face detection and recognition running:

  • Run the person tracking and detection nodes.

  • For every sensor, launch the face detection and feature extraction nodes:

    roslaunch recognition face_detection_and_feature_extraction.launch sensor_name:="<sensor>"

  • Then, start the face recognition node on the master PC.

    rosrun recognition face_recognition_node

  • To visualize, run recognition_visualization_node:

    rosrun recognition recognition_visualization_node.py

Setting Up an OpenPTrack v2 System:

Running OpenPTrack v2:

Tracking GUI

How to receive tracking data in:

  1. Tested Hardware
  2. Network Configuration
  3. Imager Mounting and Placement
  4. Calibration in Practice
  5. Quick Start Example
  6. Imager Settings
  7. Manual Ground Plane
  8. Calibration Refinement (Person-Based)
  9. Calibration Refinement (Manual)

OPT on the NVidia Jetson

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