diff --git a/README.md b/README.md index 3634b71..6cfa35b 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ #Sample Apps for Affdex SDK for Windows and Linux -Welcome to our repository on GitHub! Here you will find example code to get you started with our Affdex SDK 3.1 and begin emotion-enabling you own app! Documentation for the SDKs is available on the Affectiva's Developer Portal. +Welcome to our repository on GitHub! Here you will find example code to get you started with our Affdex Linux SDK 3.2, Affdex Windows SDK 3.4 and begin emotion-enabling you own app! Documentation for the SDKs is available on the Affectiva's Developer Portal. *Build Status* - Windows: [![Build status](https://ci.appveyor.com/api/projects/status/pn2y9h8a3nnkiw41?svg=true)] @@ -11,12 +11,12 @@ Dependencies ------------ *Windows* -- Affdex SDK 3.1 (64 bit) +- Affdex SDK 3.4 (64 bit) - Visual Studio 2013 or higher *Linux* - Ubuntu 14.04 or CentOS 7 -- Affdex SDK 3.1 +- Affdex SDK 3.2 - CMake 2.8 or higher - GCC 4.8 @@ -24,6 +24,9 @@ Dependencies - OpenCV 2.4 - Boost 1.59 +- libuuid +- libcurl +- libopenssl Installation ------------ @@ -37,10 +40,10 @@ Installation *Ubuntu* ```bashrc -sudo apt-get install build-essential libopencv-dev libboost1.55-all-dev cmake -wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.1.1-2802-linux-64bit.tar.gz +sudo apt-get install build-essential libopencv-dev libboost1.55-all-dev libcurl-dev uuid-dev cmake +wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.2-20-ubuntu-xenial-xerus-64bit.tar.gz mkdir $HOME/affdex-sdk -tar -xzvf affdex-cpp-sdk-3.1.1-2802-linux-64bit.tar.gz -C $HOME/affdex-sdk +tar -xzvf affdex-cpp-sdk-3.2-20-ubuntu-xenial-xerus-64bit.tar.gz -C $HOME/affdex-sdk export AFFDEX_DATA_DIR=$HOME/affdex-sdk/data git clone https://github.com/Affectiva/cpp-sdk-samples.git $HOME/sdk-samples mkdir $HOME/build @@ -50,11 +53,31 @@ make export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib ``` +*CentOS* + +```bashrc +sudo yum install libcurl-devel.x86_64 libuuid-devel.x86_64 opencv-devel cmake.x86_64 +wget https://sourceforge.net/projects/boost/files/boost/1.55.0/boost_1_55_0.tar.gz/download -O boost_1_55_0.tar.gz +tar -xzvf boost_1_55_0.tar.gz -C $HOME +cd boost_1_55 +./bootstrap.sh --with-libraries=log,serialization,system,date_time,filesystem,regex,timer,chrono,thread,program_options +sudo ./b2 link=static install +wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.2-2893-centos-7-64bit.tar.gz +mkdir $HOME/affdex-sdk +tar -xzvf affdex-cpp-sdk-3.2-2893-centos-7-64bit.tar.gz -C $HOME/affdex-sdk +export AFFDEX_DATA_DIR=$HOME/affdex-sdk/data +git clone https://github.com/Affectiva/cpp-sdk-samples.git $HOME/sdk-samples +mkdir $HOME/build +cd $HOME/build +cmake -DOpenCV_DIR=/usr/ -DBOOST_ROOT=/usr/ -DAFFDEX_DIR=$HOME/affdex-sdk $HOME/sdk-samples +make +export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib +``` OpenCV-webcam-demo (c++) ------------------ -Project for demoing the [FrameDetector class](http://developer.affectiva.com/v3_1_1/windows/analyze-frames/). It grabs frames from the camera, analyzes them and displays the results on screen. +Project for demoing the [FrameDetector class](http://developer.affectiva.com/v3_2/cpp/analyze-frames/). It grabs frames from the camera, analyzes them and displays the results on screen. The following command line arguments can be used to run it: @@ -74,7 +97,7 @@ The following command line arguments can be used to run it: Video-demo (c++) ---------- -Project for demoing the Windows SDK [VideoDetector class](http://developer.affectiva.com/v3_1_1/windows/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_1_1/windows/analyze-photo/). It processs video or image files, displays the emotion metrics and exports the results in a csv file. +Project for demoing the Windows SDK [VideoDetector class](http://developer.affectiva.com/v3_2/cpp/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_2/cpp/analyze-photo/). It processs video or image files, displays the emotion metrics and exports the results in a csv file. The following command line arguments can be used to run it: