From 24da7e1b197fe82d73985eba23573ff5865bdbe3 Mon Sep 17 00:00:00 2001 From: Umang Mehta Date: Wed, 30 Nov 2016 12:05:42 -0800 Subject: [PATCH 1/2] Updating the download link for the Ubuntu instruction --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 0b54382..8da3073 100644 --- a/README.md +++ b/README.md @@ -38,9 +38,9 @@ Installation ```bashrc sudo apt-get install build-essential libopencv-dev libboost1.55-all-dev cmake -wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.1-396-linux-64bit.tar.gz +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-3.1-396-linux-64bit.tar.gz -C $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 $HOME/build From d1b23b70916a0895843f41493be99c23bdddff04 Mon Sep 17 00:00:00 2001 From: Umang Mehta Date: Wed, 30 Nov 2016 12:10:36 -0800 Subject: [PATCH 2/2] Updating the links for the detectors. --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 8da3073..3634b71 100644 --- a/README.md +++ b/README.md @@ -54,7 +54,7 @@ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$HOME/affdex-sdk/lib OpenCV-webcam-demo (c++) ------------------ -Project for demoing the [FrameDetector class](http://developer.affectiva.com/v3_1/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_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: @@ -74,7 +74,7 @@ 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_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. +Project for demoing the Windows SDK [VideoDetector class](http://developer.affectiva.com/v3_1_1/windows/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_1_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: