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#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.
Build Status
- Windows: [
] (https://ci.appveyor.com/project/ahamino/win-sdk-samples)
- Ubuntu:
Dependencies
Windows
- Affdex SDK 3.1 (64 bit)
- Visual Studio 2013 or higher
Linux
- Ubuntu 14.04 or CentOS 7
- Affdex SDK 3.1
- CMake 2.8 or higher
- GCC 4.8
Additional dependencies
- OpenCV 2.4
- Boost 1.59
Installation
- Download Affdex SDK from here
Windows
- Install the SDK using MSI installer.
- The additional dependencies get installed automatically by NuGet.
Ubuntu
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
mkdir $HOME/affdex-sdk
tar -xzvf affdex-cpp-sdk-3.1.1-2802-linux-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. 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:
-h [ --help ] Display this help message.
-d [ --data ] arg (=data) Path to the data folder
-r [ --resolution ] arg (=640 480) Resolution in pixels (2-values): width
height
--pfps arg (=30) Processing framerate.
--cfps arg (=30) Camera capture framerate.
--bufferLen arg (=30) process buffer size.
--cid arg (=0) Camera ID.
--faceMode arg (=0) Face detector mode (large faces vs small
faces).
--numFaces arg (=1) Number of faces to be tracked.
--draw arg (=1) Draw metrics on screen.
Video-demo (c++)
Project for demoing the Windows SDK VideoDetector class and PhotoDetector class. 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:
-h [ --help ] Display this help message.
-d [ --data ] arg (=data) Path to the data folder
-i [ --input ] arg Video or photo file to process.
--pfps arg (=30) Processing framerate.
--draw arg (=1) Draw video on screen.
--faceMode arg (=1) Face detector mode (large faces vs small
faces).
--numFaces arg (=1) Number of faces to be tracked.
--loop arg (=0) Loop over the video being processed.
For an example of how to use Affdex in a C# application .. please refer to AffdexMe