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humanActivityDetection2D: Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, through YARP ports. Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, t…

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davidvelascogarcia/humanActivityDetection2D

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Human Activity: Detector 2D (Python API)

Introduction

humanActivityDetection2D module use openCV python API. The module analyze human activity using pre-trained models. Also use YARP to send video source pre and post-procesed. Also admits YARP source video like input. This module also publish detection results in YARP port.

Documentation available on docs.

Running Software

humanActivityDetection2D requires images source to detect. First you need pre-trained models or train a model and locate in models dir, you can download pre-trained model here:

  1. Execute programs/humanActivityDetection2D.py, to start the program.
python3 humanActivityDetection2D.py
  1. Connect video source to humanActivityDetection2D.
yarp connect /videoSource /humanActivityDetection2D/img:i

NOTE:

  • Video results are published on /humanActivityDetection2D/img:o
  • Data results are published on /humanActivityDetection2D/data:o

Requirements

humanActivityDetection2D requires:

Tested on: windows 10, ubuntu 14.04, ubuntu 16.04, ubuntu 18.04, lubuntu 18.04 and raspbian.

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humanActivityDetection2D: Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, through YARP ports. Implementation of 2D detector of human actions through DNN with OpenCV. Video source reception via YARP, processed video source emission and results, t…

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