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Hi FreeSurfer Developers,
I'm attempting to register two T2 images using mri_easyreg (FreeSurfer 7.4.1). This is what my bash code looks like:
#!/bin/bash
for subject in ./sub-?????.nii.gz do mri_easyreg --ref ./mni152_t2_strip.nii.gz --flo $subject \ --ref_seg ./mni152_t2_strip_parc.nii.gz \ --flo_seg "${subject/.nii.gz/_parc.nii.gz}" \ --flo_reg "${subject/.nii.gz/_moved.nii.gz}" \ --fwd_field "${subject/.nii.gz/_fwd_fld.nii.gz}" \ --thread 24 subject+=" Done!" echo $subject done
This is what the output looks like when I execute the bash script:
2023-10-02 11:15:58.965124: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 2023-10-02 11:15:58.988396: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2023-10-02 11:15:59.313149: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT using 24 threads Segmentation of reference image already exists; reading from disk Segmentation of floating image already exists; reading from disk Linear registration Computing centroids and estimating affine transform Reading reference image Deforming reference image to reference space Deforming reference segmentation to reference space Normalizing intensities of reference image Reading floating image Deforming floating image to reference space Deforming floating segmentation to reference space Normalizing intensities of floating image 2023-10-02 11:16:08.118592: E tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:266] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected 2023-10-02 11:16:08.118640: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:168] retrieving CUDA diagnostic information for host: kaibo-Alienware-Aurora-R13 2023-10-02 11:16:08.118647: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:175] hostname: kaibo-Alienware-Aurora-R13 2023-10-02 11:16:08.118766: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:199] libcuda reported version is: 510.108.3 2023-10-02 11:16:08.118794: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:203] kernel reported version is: 510.108.3 2023-10-02 11:16:08.118801: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:309] kernel version seems to match DSO: 510.108.3 UserWarning: int_downsize is deprecated, use the int_resolution parameter. UserWarning: unet_half_res is deprecated, use the svf_resolution parameter. ./easyreg.sh: line 3: 1588985 Killed mri_easyreg --ref ./mni152_t2_strip.nii.gz --flo $subject --ref_seg ./mni152_t2_strip_parc.nii.gz --flo_seg "${subject/.nii.gz/_parc.nii.gz}" --flo_reg "${subject/.nii.gz/_moved.nii.gz}" --fwd_field "${subject/.nii.gz/_fwd_fld.nii.gz}" --thread 24 ./sub-00001.nii.gz Done!
When I checked the folder, I saw only the parcellation results. Neither the moved floating image nor the forward field were generated.
I initially thought this might be a memory problem and I set --thread 1 but I ended up getting the same result (Killed).
I've searched the list and there was another error (https://secure-web.cisco.com/1oerdskR7ZTpxdkdU8iIXVp5sQdJ_BWDnyMHH3nMMFRZxQm...) similar to mine. But I don't think mine was related. Can anyone provide any insight into this?
FreeSurfer version: freesurfer-linux-ubuntu22_x86_64-7.4.1-20230614-7eb8460 Platform: Ubuntu 22.04.2 LTS I am running the script on 12th Gen Intel® Core™ i9-12900KF × 24 with a 64.0 GiB memory and NVIDIA Corporation GA102 [GeForce RTX 3090].
Thanks, Kaibo