From d7ea4348ce44c76bd55852379d67e4da21e6cd20 Mon Sep 17 00:00:00 2001 From: Umang Mehta Date: Mon, 25 Jul 2016 14:42:21 -0400 Subject: [PATCH] Updating README.md (#10) * Updating README.md * Updating the yml to point to the new build --- README.md | 16 ++++++++-------- appveyor.yml | 4 ++-- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 3d514af..7041d03 100644 --- a/README.md +++ b/README.md @@ -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: diff --git a/appveyor.yml b/appveyor.yml index a505698..ec6656c 100644 --- a/appveyor.yml +++ b/appveyor.yml @@ -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: