commit 45c5b72d6c294fe1a4cd90f8090442d313886fc9 Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Wed Feb 3 07:17:09 2016 -0500 Remove affdex me .. fix dll references commit 98bfdbc3302c1ba8226a4151826c541d8d250aa9 Author: Abdelrahman Mahmoud <ahamino@gmail.com> Date: Wed Feb 3 06:57:59 2016 -0500 Update README.md commit fd9dedbdc7daeeacc65ef1df8b79447e5e22cc64 Author: Abdelrahman Mahmoud <ahamino@gmail.com> Date: Tue Feb 2 15:43:00 2016 -0500 Update README.md update appveyor badge commit ccbd9770da316c35de75b47d749e14bd551acc2a Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 15:36:11 2016 -0500 Update appveyor badge commit b08547f1dd77548f24140e709a8574d23c8aa7db Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 15:32:03 2016 -0500 Add appveyor badge commit e0a2b36ca9fb0c828bf54c7326aa59a1fa6d1079 Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 15:11:50 2016 -0500 remove nuget references commit b5561f7353381106ad5b133d3bc73d49d36bcbc0 Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 15:01:15 2016 -0500 remove nuget commit ec3d93bb38e5390f176de23dd249b30e5420f3fb Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 14:09:28 2016 -0500 More changes to get nuget working commit ea9662b583d08fa9bae3b30cb2d909d288911b2e Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 12:53:20 2016 -0500 Change the opencv version commit 56ffaebfb3c3cdc1610f1ad2c67a47010d0e3dbf Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 12:29:22 2016 -0500 Commit changes to the nuget configuration commit 3e6aa2c2dc4a8cb97dd9999154b8c6fb5471c351 Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Tue Feb 2 12:12:03 2016 -0500 add nuget configuration commit e69ea5e078b42a286f0ca27b09b922178e376cd1 Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Mon Feb 1 17:02:38 2016 -0500 Remove unecessary packages from nuget commit 3f98b04af745b880be3f4be5d4e7d7a6174f2453 Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Mon Dec 21 18:22:45 2015 -0500 Update the documentation commit a92352bea891e553fb8f8da61afda3fa255ec46f Author: Abdelrahman Mahmoud <mahmoud@affectiva.com> Date: Mon Dec 21 17:54:55 2015 -0500 Add video demo 2.1
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#Sample Apps for Affdex SDK for Windows
Welcome to our repository on GitHub! Here you will find example code to get you started with our Affdex SDK 3.0 for Windows and begin emotion-enabling you own app! Documentation for the Windows SDK is at Affectiva's Developer Portal.
[] (https://ci.appveyor.com/project/ahamino/win-sdk-samples)
Dependencies
- Affdex SDK 3.0 (32 bit)
- Visual Studio 2013 or higher
Additional dependencies for the C++ projects
- OpenCV 3.1
- Boost 1.59
Installation
- Download Affdex SDK for windows from here
- Sign up for an evaluation license by submitting this form
- Install the SDK using MSI installer.
- The additional dependencies get installed automatically by NuGet.
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
-l [ --license ] arg (=test.license) License file.
-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. It processs video 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
-l [ --license ] arg (=test.license) License file.
-i [ --input ] arg Video file to processs
--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