Comments (3)
Better to use the C++ ANTs as it's updated more frequently than the Python package, and the Python package does not run on the mac M1.
The issue with the c++ ANTs in Windows is that it is not possible to subprocess a bash script, would need to rewrite in Raidionics the content to just call the .exe in the end.
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Also note that CIs take A LOT longer to run due to the generated installers being a lot larger, as uploading these artifacts takes an extremely amount of time.
Removing the binaries, also removed the "Free up GitHub Actions Ubuntu Runner Disk Space
step (see here) which surprisingly takes almost 6 (!) minutes to perform.
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Overall it seems like build times on Ubuntu increases by 20 minutes (30 -> 50 minutes) with having the C++ binaries. But this also affects the other CIs for respective OS and CPU.
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Related Issues (20)
- Suboptimal behaviour of circular progress widget
- Bug: Unable to kill process when running HOT 2
- Program crash on Mac HOT 31
- Circular progressbar not reset when starting new segmentation HOT 1
- Enhance about
- Processing on macOS hangs HOT 2
- PyInstaller packages ALL local python versions when building HOT 5
- Feature: 3D renderer support HOT 1
- segmentation on Mac M1 vs macOS Catalina HOT 5
- FLAIR segmentation not running for low-grade glioma mode HOT 9
- Bug: Automatic models folder deletion after re-installation HOT 2
- DICOM RTstructure segmentation export
- Feature: Interactive prediction thresholding
- Bug: Launching latest artifact fails on macOS HOT 7
- Feature: Replace PyANTs with Freesurfer?
- Feature: Add GUI unit tests with pyautogui HOT 3
- Bug: macOS ARM CI build fails due to dylib not found HOT 2
- Feature: Swapping opencv with skimage in rt_utils HOT 4
- GUI-Tumor sub-compartments HOT 4
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