Comments (2)
JoosenLi
commented on August 10, 2024
Additional information about my environment is as follows: CUDA version is 11.3, PyTorch version is 1.13.1, GCC version is 10.5.0 (Ubuntu 10.5.0-1ubuntu1~22.04), and the graphics card is NVIDIA GeForce RTX 3090.
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kylechampley
commented on August 10, 2024
Thanks, this is helpful. LEAP requires CUDA 11.7. I updated the dependencies on the wiki page here:
https://github.com/LLNL/LEAP/wiki/Installing-and-Using-LEAP
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Related Issues (20)
- big data, small RAM HOT 1
- The NaN problem in Iteration Reconstruction HOT 4
- issue: cone-beam with truncatedscan HOT 4
- Installing error HOT 14
- Can we intinialize the CT image when do iterative reconstruction methods on sinogram? HOT 5
- 3D reconstruction on LEAP HOT 6
- Forward projection bug related to the voxel spacing HOT 3
- Issue with LEAP Library Support on MacOS HOT 5
- Remove the limitation of 5 degree aligned to z-axis HOT 5
- Issue with Helical Reconstruction Geometry Parameters in Leap HOT 9
- laminography zero recon slice issue HOT 3
- Incorrect number of voxels in helical geometry when angular range is bigger than 360 degrees HOT 1
- Laminography multiply factor to align the projection image to slice image HOT 9
- Out of Memory Error for 4000x4000x2096 VOLUME HOT 23
- Out boundary brightness issue HOT 2
- batch mode in projection and its adjoint HOT 6
- intensity shift of helical fbp HOT 12
- Projection image's intensity slope reverse issue HOT 12
- fail to backpropagate after proj.fbp HOT 9
- Phantom jig calibration supporting HOT 6
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