Updating the README and travis config

.travis.yml

@@ -3,8 +3,25 @@ language: cpp
 compiler:
   - gcc-4.8
 before_script:
-  - sudo apt-get install  -y gcc-4.8 g++-4.8 libopencv-dev libboost1.55-all-dev cmake
+  - sudo apt-get install  -y gcc-5.4 g++-5.4 libopencv-dev make libcurl4-openssl-dev libssl-dev
-  - wget https://download.affectiva.com/linux/affdex-cpp-sdk-3.1-396-linux-64bit.tar.gz -O /tmp/affdex-sdk.tar.gz
+  - wget https://cmake.org/files/v3.8/cmake-3.8.1.tar.gz -O /tmp/cmake.tar.gz
+  - mkdir /tmp/cmake
+  - tar -xvf cmake.tar.gz -C /tmp/cmake
+  - cd /tmp/cmake && \
+      ./bootstrap --system-curl && \
+      make -j$(nproc) && \
+      make install
+  - wget https://sourceforge.net/projects/boost/files/boost/1.63.0/boost_1_63_0.tar.gz -O /tmp/boost.tar.gz
+  - mkdir /tmp/boost
+  - tar -xvf boost.tar.gz -C /tmp/boost
+  - cd /tmp/boost && \
+      ./bootstrap.sh &&\
+      ./b2 -j $(nproc) cxxflags=-fPIC threading=multi runtime-link=shared \
+           --with-log --with-serialization --with-system --with-date_time \
+           --with-filesystem --with-regex --with-timer --with-chrono --with-thread \
+           --with-program_options \
+           install
+  - wget https://download.affectiva.com/linux/gcc-5.4/affdex-cpp-sdk-4.0-75-ubuntu-xenial-xerus-x86_64bit.tar.gz -O /tmp/affdex-sdk.tar.gz
   - mkdir /tmp/affdex-sdk
   - tar -xzvf /tmp/affdex-sdk.tar.gz -C /tmp/affdex-sdk
   - mkdir build

README.md

@@ -32,7 +32,9 @@ Dependencies
 Installation
 ------------
 
-- Download Affdex SDK [from here](http://developer.affectiva.com/downloads)
+- Download Affdex SDK for Linux [from here](https://affectiva.readme.io/docs/getting-started-with-the-affectiva-sdk-for-linux#section-1-download-and-extract-the-sdk-archive)
+- - Download Affdex SDK for Windows [from here](https://affectiva.readme.io/docs/getting-started-with-the-emotion-sdk-for-windows#section-1-download-and-run-the-sdk-installer)
+
 
 ##### Windows
 - Install the SDK using MSI installer.
@@ -123,7 +125,7 @@ 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_2/cpp/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_2/cpp/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_2/cpp/analyze-video/) and [PhotoDetector class](http://developer.affectiva.com/v3_2/cpp/analyze-photo/). It process 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:
 
@@ -143,4 +145,4 @@ For an example of how to use Affdex in a C# application .. please refer to [Affd
 Docker Build Instructions
 -------------------------
 
-Please check out the Dockerfiles in the docker directory to follow the build and run steps to create and run the image.
+The Dockerfile's are located in the docker directory. To build the docker image please refer to the files for instructions.