SIRF-SuperBuild
SIRF-SuperBuild copied to clipboard
SyneRBI
SIRF CMake SuperBuild
When I try to build with build CIL = ON, I get an error. This seems to be from Tomophantom.
Building with system ITK (installed via conda, currently ITK 5.3), NiftyReg and ITK both use the nifti library and are not careful about conflicts, leading to ``` In file included...
I can't find the CCPi-Regularisation-Toolkit on the `edge-gpu` image: ```bash ls -lh /opt/SIRF-SuperBuild/INSTALL/python/ total 16M drwsrwsr-x 10 jovyan users 4.0K Aug 23 16:10 cil drwsrwsr-x 2 jovyan users 4.0K Aug...
See: [https://community.intel.com/t5/oneAPI-Registration-Download/Disappearance-of-intel-conda-channel/m-p/1614250#M2163](https://community.intel.com/t5/oneAPI-Registration-Download/Disappearance-of-intel-conda-channel/m-p/1614250#M2163) Dockerfile: ``` FROM synerbi/sirf:latest-gpu USER root RUN conda install pytorch && fix-permissions "${CONDA_DIR}" /home/${NB_USER} USER ${NB_UID} ``` Error: ``` => ERROR [2/2] RUN conda install pytorch && fix-permissions...
We currently default to `origin/master` but that will break things at some point. This would be important for PETRIC as well (need to have a reproducible set-up)
Build with `devel` (cuda toolkit) but ship with `runtime` images (saves ~2.3 GB image size)
I have partitioned my hard drive and I am running SIRF on Ubuntu 20.04 as part of a dual boot. After a fresh install of Ubuntu 20.04 I download the...
See https://github.com/CCPPETMR/SIRF/issues/504 For the SuperBuild, there's an additional problem that not all projects will use [`FindPython`](https://cmake.org/cmake/help/v3.12/module/FindPython.html), so somehow we'll have to pass `${Python_EXECUTABLE}` to `PYTHON_EXECUTABLE`. It's going to be messy...