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Merge pull request #13 from Affectiva/update-ubuntu-instruction

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Updating the download link for the Ubuntu instruction
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Umang Mehta 2016-11-30 13:12:13 -08:00 committed by GitHub
commit 623603e8ec
1 changed files with 4 additions and 4 deletions
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README.md
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@ -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 $HOME/build
@ -54,7 +54,7 @@ export LD_LIBRARY_PATH=$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: