OSX

These are the steps to build all you need for the TP.

Prerequisites

If you do not have it already installed, you need to install XCode from the Mac App Store, see here for more details https://developer.apple.com/support/xcode/
everything will be smoother if you have homebrew installed (https://brew.sh/): it is a package manager similar in spirit to the one you find in Linux.
- brew install automake cmake will install everything you need for building the code.
- if you don't have homebrew you can install CMake by downloading https://github.com/Kitware/CMake/releases/download/v3.17.1/cmake-3.17.1-Darwin-x86_64.dmg

create a folder tpTI where you will have all the dependencies and the sources of the tp. Please avoid paths containing spaces, weird characters or accents.
to make your life easier, set up an environment variable that refer to this location
- You can define it for a single session with (e.g.) export tpTIBasePath=/home/sgaspari/dev/tpTI
- or you can define it once for all by adding the previous instruction to your ~/.profile file, so that you don't need to run the instruction for each terminal session.
- you can verify that the variable is set with echo ${tpTIBasePath}

OpenCV is a computer vision library that contains some of the algorithms we are using for image processing and pose estimation. To install it:

download the library from the repository https://github.com/opencv/opencv/archive/3.4.13.zip
unzip the file into ${tpTIBasePath} (a folder named opencv-3.4.13 should appear).
from ${tpTIBasePath}\opencv-3.4.13 create a build directory (mkdir build)

from the shell, go to ${tpTIBasePath}/opencv-3.4.13/build and execute the following:

cmake .. -DCMAKE_INSTALL_PREFIX:PATH=`pwd`/install -DCMAKE_BUILD_TYPE=Release -DWITH_CUDA:BOOL=OFF -DBUILD_PERF_TESTS:BOOL=OFF -DBUILD_TESTS:BOOL=OFF

then build and install the library by running
```
make install -j4 
```
You can replace 4 with the number of threads that you machine can support, it will speed up the building. Then go grab a cup of coffee or a beverage of your choice ;-)
in order to run the tp code later on you have to add the built libraries to the DYLD_LIBRARY_PATH environment variable.
```
export DYLD_LIBRARY_PATH=${tpTIBasePath}/opencv-3.4.13/build/install/lib:$DYLD_LIBRARY_PATH
```
Again, you can add this to your ~/.profile file so that you have it available for all shell sessions.