167 lines
6.8 KiB
Markdown
167 lines
6.8 KiB
Markdown
Modified for use with [Specimens of Discriminatory Composite Portraiture](https://git.rubenvandeven.com/r/specimens-of-composite-portraiture)
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---
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# Sample Apps for Affdex SDK for Windows and Linux
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Welcome to our repository on GitHub! Here you will find example code to get you started with our Affdex Linux SDK 4.0.0, Affdex Windows SDK 3.4 and begin emotion-enabling you own app! Documentation for the SDKs is available on the <a href=http://developer.affectiva.com/>Affectiva's Developer Portal</a>.
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Build Status
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-------------
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- Windows: [](https://ci.appveyor.com/project/ahamino/win-sdk-samples)
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- Ubuntu: [](https://travis-ci.org/Affectiva/cpp-sdk-samples)
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Dependencies
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------------
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##### Windows
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- Affdex SDK 3.4 (64 bit)
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- Visual Studio 2013 or higher
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##### Linux
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- Ubuntu 16.04 with GCC v5.4.1
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- CentOS 7 with GCC v4.8.x
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- Affdex SDK 4.0.0
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- CMake 3.5 or higher
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##### Additional dependencies
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- OpenCV 2.4
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- Boost 1.63
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- libuuid
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- libcurl
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- libopenssl
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Installation
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------------
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- Download Affdex SDK for Linux [from here](https://affectiva.readme.io/docs/getting-started-with-the-affectiva-sdk-for-linux#section-1-download-and-extract-the-sdk-archive)
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- Download Affdex SDK for Windows [from here](https://affectiva.readme.io/docs/getting-started-with-the-emotion-sdk-for-windows#section-1-download-and-run-the-sdk-installer)
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##### Windows
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- Install the SDK using MSI installer.
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- The additional dependencies get installed automatically by NuGet.
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##### Linux
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*Installation Guide for dependencies CMake v3.8.1 and Boost v1.63 for CentOS 7 and Ubuntu 16.04*
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- Boost
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```
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$ wget https://sourceforge.net/projects/boost/files/boost/1.63.0/boost_1_63_0.tar.gz
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$ tar -xzvf boost_1_63_0.tar.gz -C $HOME
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$ cd boost_1_63_0
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$ ./bootstrap.sh
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$ sudo ./b2 -j $(nproc) cxxflags=-fPIC threading=multi runtime-link=shared \
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--with-log --with-serialization --with-system --with-date_time \
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--with-filesystem --with-regex --with-timer --with-chrono --with-thread \
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--with-program_options install
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```
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- CMAKE
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```
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$ wget https://cmake.org/files/v3.8/cmake-3.8.1.tar.gz \
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$ tar -xvf cmake-3.8.1.tar.gz && rm cmake-3.8.1.tar.gz
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$ cd $SRC_DIR/cmake-3.8.1/
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$ ./bootstrap --system-curl && \
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make -j$(nproc) && \
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make install && \
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rm -rf $SRC_DIR/cmake-3.8.1
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```
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- Building the SDK on Ubuntu 16.04
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```bashrc
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$ sudo apt-get install build-essential libopencv-dev libcurl4-openssl uuid-dev
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$ wget https://download.affectiva.com/linux/gcc-5.4/affdex-cpp-sdk-4.0-75-ubuntu-xenial-xerus-x86_64bit.tar.gz
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$ mkdir $HOME/affdex-sdk
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$ tar -xzvf affdex-cpp-sdk-4.0-75-ubuntu-xenial-xerus-x86_64bit.tar.gz -C $HOME/affdex-sdk
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$ export AFFDEX_DATA_DIR=$HOME/affdex-sdk/data
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$ git clone https://github.com/Affectiva/cpp-sdk-samples.git $HOME/sdk-samples
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$ mkdir $HOME/build
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$ cd $HOME/build
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$ cmake -DOpenCV_DIR=/usr/ -DBOOST_ROOT=/usr/ -DAFFDEX_DIR=$HOME/affdex-sdk $HOME/sdk-samples
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$ make
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$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib
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# The SDK statically links a forked version of OpenCV, so if you run into double free or corruption error
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# then you will need to preload the OpenCV library installed from package manager
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# Use this command to find the path of libopencv_core.so.2.4
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$ ldconfig -p | grep libopencv_core.so.2.4
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$ export LD_PRELOAD=/path/to/libopencv_core.so.2.4
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```
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- Building the SDK on CentOS 7
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```bashrc
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$ sudo yum install libcurl-devel.x86_64 libuuid-devel.x86_64 opencv-devel
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$ wget https://download.affectiva.com/linux/centos-4.8/affdex-cpp-sdk-4.0-2941-centos-7-x86_64bit.tar.gz
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$ mkdir $HOME/affdex-sdk
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$ tar -xzvf affdex-cpp-sdk-4.0-2941-centos-7-x86_64bit.tar.gz -C $HOME/affdex-sdk
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$ export AFFDEX_DATA_DIR=$HOME/affdex-sdk/data
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$ git clone https://github.com/Affectiva/cpp-sdk-samples.git $HOME/sdk-samples
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$ mkdir $HOME/build
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$ cd $HOME/build
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$ cmake -DOpenCV_DIR=/usr/ -DBOOST_ROOT=/usr/ -DAFFDEX_DIR=$HOME/affdex-sdk $HOME/sdk-samples
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$ make
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$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib
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# The SDK statically links a forked version of OpenCV, so if you run into double free or corruption error
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# then you will need to preload the OpenCV library installed from package manager
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# Use this command to find the path of libopencv_core.so.2.4
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$ ldconfig -p | grep libopencv_core.so.2.4
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$ export LD_PRELOAD=/path/to/libopencv_core.so.2.4
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```
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OpenCV-webcam-demo (c++)
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------------------
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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.
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The following command line arguments can be used to run it:
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-h [ --help ] Display this help message.
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-d [ --data ] arg (=data) Path to the data folder
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-r [ --resolution ] arg (=640 480) Resolution in pixels (2-values): width
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height
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--pfps arg (=30) Processing framerate.
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--cfps arg (=30) Camera capture framerate.
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--bufferLen arg (=30) process buffer size.
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--cid arg (=0) Camera ID.
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--faceMode arg (=0) Face detector mode (large faces vs small
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faces).
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--numFaces arg (=1) Number of faces to be tracked.
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--draw arg (=1) Draw metrics on screen.
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Video-demo (c++)
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----------
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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 process video or image files, displays the emotion metrics and exports the results in a csv file.
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The following command line arguments can be used to run it:
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-h [ --help ] Display this help message.
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-d [ --data ] arg (=data) Path to the data folder
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-i [ --input ] arg Video or photo file to process.
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--pfps arg (=30) Processing framerate.
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--draw arg (=1) Draw video on screen.
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--faceMode arg (=1) Face detector mode (large faces vs small
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faces).
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--numFaces arg (=1) Number of faces to be tracked.
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--loop arg (=0) Loop over the video being processed.
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For an example of how to use Affdex in a C# application .. please refer to [AffdexMe](https://github.com/affectiva/affdexme-win)
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Docker Build Instructions
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-------------------------
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The Dockerfile's are located in the [docker](docker) directory. To build the docker image please refer to the files for instructions.
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