Consistency Conditions for any two X-ray images. | Copyrights Andre Aichert, aaichert@gmail.com, andre.aichert@cs.fau.de This project provides both GPU and CPU implementations in C++/CUDA of the Epipolar Consistency Metric. The CPU version relies on Eigen 3 library and follows the 2016 CT-Meeting paper "Efficient Epipolar Consistency" by Aichert et al. The projects contained in this repository use the CMake build environment. You can use CMake to generate Visual Studio projects for Windows or makefiles for Linux and MacOS. All libraries used are available on all three platforms and the projects should build with very few fixes in source code.
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Snaps are applications packaged with all their dependencies to run on all popular Linux distributions from a single build. They update automatically and roll back gracefully.
Snaps are discoverable and installable from the Snap Store, an app store with an audience of millions.
Snap is available for CentOS 7.6+, and Red Hat Enterprise Linux 7.6+, from the Extra Packages for Enterprise Linux (EPEL) repository. The EPEL repository can be added to your system with the following command:
sudo yum install epel-release
Snap can now be installed as follows:
sudo yum install snapd
Once installed, the systemd unit that manages the main snap communication socket needs to be enabled:
sudo systemctl enable --now snapd.socket
To enable classic snap support, enter the following to create a symbolic link between /var/lib/snapd/snap and /snap:
sudo ln -s /var/lib/snapd/snap /snap
Either log out and back in again, or restart your system, to ensure snap’s paths are updated correctly.
To install epipolar-consistency, simply use the following command:
sudo snap install epipolar-consistency
Browse and find snaps from the convenience of your desktop using the snap store snap.
Interested to find out more about snaps? Want to publish your own application? Visit snapcraft.io now.