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human-sensing-SAM

This repository contains software related to human sensing

The code has been tested on Ubuntu 14.04 LTS & Ubuntu 16.04 LTS

The code needs the follwoing libraries:

1- BLAS (for dlib c++ library)
2- OpenCV 3.0
2- tbb
3- boost
4- dlib (for face detection)
5- icub-main (implemented on icub)

Get BLAS:

sudo apt-get install libopenblas-dev liblapack-dev

Get TBB:

sudo apt-get install libtbb-dev

Get Boost:

sudo apt-get install libboost-all-dev

OpenCV-3.2.0

OpenCV-3.0.0 or higher (OpenCV-3.2.0 is recommended) is a required dependency:

  1. Download OpenCV: git clone https://github.com/opencv/opencv.git.
  2. Checkout the correct branch: git checkout 3.2.0.
  3. Download the external modules: git clone https://github.com/opencv/opencv_contrib.git.
  4. Checkout the correct branch: git checkout 3.2.0.
  5. Configure OpenCV by filling in the cmake var OPENCV_EXTRA_MODULES_PATH with the path pointing to opencv_contrib/modules and then toggling on the var BUILD_opencv_tracking.
  6. Compile OpenCV.

YARP, icub-main and icub-contrib-common

First, follow the installation instructions for yarp, icub-main and icub-contrib-common.

Get dlib:

Download the library (v18.xx) from the following link and install it:

http://dlib.net/

finally, build the main code and test it by running the SimpleCLM executable.

Clone and build this repository

Add CLM_MODEL_DIR=$SRC_FOLDER/human-sensing-SAM/app/CLM_Yarp/conf to your ~/.bashrc

Usage:

CLMYarp --from $CLM_MODEL_DIR

Note: A bunch of video files for testing the code and the main source-code of CLM can be found at: https://github.com/TadasBaltrusaitis/CLM-framework