The latest TiViPE release for Linux Ubuntu 18.04 is 2.1.4 (October 2018).
TiViPE can be downloaded for free under GNU-GPL license. Commercial developers however need a different license, please contact us. Download TiViPE214Ubuntu1804.tgz for Linux Ubuntu 18.04.
Open a terminal (ctrl-alt-t) and copy the downloaded file to the home directory, and extract its data:
cd $HOME tar xzf TiViPE214Ubuntu1804.tgz
Open your favorite editor and add
# --> Read $HOME/TiViPE/vars, if present. if [ -f $HOME/TiViPE/vars ]; then . $HOME/TiViPE/vars fi
to the $HOME/.bashrc file.
Open a new terminal and type
on the command line to start TiViPE.
Validate that all the packages required as described below are installed. Check the file $HOME/TiViPE/vars and verify that all paths and variables have been set properly.
Packages that need to be installed in the Ubuntu distribution
TiViPE relies on a number of programs. By default gcc, tar, perl, and ghostscript have been installed in the Ubuntu distribution. In addition the following packages are needed:
The packages are installed by typing sudo apt install followed by the name of the package.
TiViPE makes use of Qt, it is downloaded from
chmod 755 unified-linux-x64-3.0.5-online.run sudo ./qt-unified-linux-x64-3.0.5-online.run
Select the 5.11.2 (or newer) gcc 64 bit version and the source code. Qt will be installed in /opt/Qt.
The directory installed should be the same as the QTDIR variable in $HOME/TiViPE/vars.
Download cuda_10.0.130_410.48_linux.run from
https://developer.nvidia.com (select: Linux, x86_64, Ubuntu, 18.04, runfile)
and install cuda
chmod 755 cuda-10.0.130_410.48_linux.run sudo ./cuda-10.0.130_410.48_linux.run
Next take the following steps
accept install driver 410.48 (yes; no if there is no NVIDIA hardware) opengl libs (yes) run nvidia-xconfig (no) cuda (yes) link (yes)
Cuda is installed at /usr/local/cuda-10.0 and a symbolic link is created to /usr/local/cuda.
Deep learning support using CUDA requires the cuDNN package:
Unzip the package:
tar -xzvf cudnn-10.0-linux-x64-v18.104.22.168.tgz
and install the files:
sudo cp cuda/include/cudnn.h /usr/local/cuda/include sudo cp cuda/lib64/libcudnn* /usr/local/cuda/lib64 sudo chmod a+r /usr/local/cuda/include/cudnn.h /usr/local/cuda/lib64/libcudnn*