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.
Details for epipolar-consistency
Package name
epipolar-consistency
License
unset
Last updated
10 July 2018 - latest/stable
20 February 2020 - latest/edge
This snap hasn't been updated in a while. It might be unmaintained and have stability or security issues.
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from the upstream project.
Enable snaps on Debian and install epipolar-consistency
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.
Enable snapd
On Debian 9 (Stretch) and newer, snap can be installed directly from the command line:
sudo apt update
sudo apt install snapd
After this, install the snapd snap in order to get the latest snapd:
sudo snap install snapd
Install epipolar-consistency
To install epipolar-consistency, simply use the following command: