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Updating README.md (#10) 

* Updating README.md

* Updating the yml to point to the new build
This commit is contained in:
Umang Mehta 2016-07-25 14:42:21 -04:00 committed by Abdelrahman Mahmoud
parent b38fd876b2
commit d7ea4348ce
2 changed files with 10 additions and 10 deletions
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16
README.md
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@ -15,14 +15,14 @@ Dependencies
- Visual Studio 2013 or higher
*Linux*
- Ubuntu 14.04 or CentOS 7 or higher
- Affdex SDK 3.0
- Ubuntu 14.04 or CentOS 7
- Affdex SDK 3.1
- CMake 2.8 or higher
- GCC 4.8 or higher
- GCC 4.8
*Additional dependencies*
- OpenCV 3.1
- OpenCV 2.4
- Boost 1.59
Installation
@ -39,9 +39,9 @@ Installation
```bashrc
sudo apt-get install build-essential libopencv-dev libboost1.55-all-dev cmake
wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.0-298-linux-64bit.tar.gz
wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.1-396-linux-64bit.tar.gz
mkdir $HOME/affdex-sdk
tar -xzvf affdex-cpp-sdk-3.0-linux-64bit.tar.gz -C $HOME/affdex-sdk
tar -xzvf affdex-cpp-sdk-3.1-396-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 $HOME/build
@ -55,7 +55,7 @@ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib
OpenCV-webcam-demo (c++)
------------------
Project for demoing the [FrameDetector class](http://developer.affectiva.com/v3/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_1/windows/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:
@ -76,7 +76,7 @@ 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/windows/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3/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_1/windows/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_1/windows/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:

4
appveyor.yml
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@ -4,9 +4,9 @@ image:
- Visual Studio 2015
before_build:
- cmd: >-
appveyor DownloadFile http://affdex-sdk-dist.s3-website-us-east-1.amazonaws.com/windows/AffdexSDK-3.1-339-win64.exe -FileName AffdexSDK-win64.exe
appveyor DownloadFile https://download.affectiva.com/windows/AffdexSDK-3.1-368-win64.exe -FileName AffdexSDK-3.1-368-win64.exe
AffdexSDK-win64.exe /S
AffdexSDK-3.1-368-win64.exe /S
nuget restore affdex-win-samples.sln
build: