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Helo Trying to run niftymic_segment_fetal_brains // fetal_brain_seg.py but it gaves an error while it looks it is OK
I'm runnig in a apptainer//singularity container
see:
Apptainer> ls
CC2-1-Ax.nii
Apptainer> fetal_brain_seg.py --input_names CC2-1-Ax.nii --segment_output_names seg/CC2-1-Ax.nii
*** Config file
/usr/local/lib/python3.6/site-packages/monaifbs/config/monai_dynUnet_inference_config.yml
*** Input data:
CC2-1-Ax.nii
*** MONAI config:
MONAI version: 0.3.0
Python version: 3.6.8 (default, Nov 16 2020, 16:55:22) [GCC 4.8.5 20150623 (Red Hat 4.8.5-44)]
OS version: Linux (4.18.0-240.22.1.el8_3.x86_64)
Numpy version: 1.19.5
Pytorch version: 1.10.2+cu102
MONAI flags: HAS_EXT = False, USE_COMPILED = False
Optional dependencies:
Pytorch Ignite version: 0.4.2
Nibabel version: 3.2.2
scikit-image version: 0.17.2
Pillow version: 8.4.0
Tensorboard version: 2.8.0
gdown version: NOT INSTALLED or UNKNOWN VERSION.
TorchVision version: NOT INSTALLED or UNKNOWN VERSION.
ITK version: 4.13.0
tqdm version: NOT INSTALLED or UNKNOWN VERSION.
For details about installing the optional dependencies, please visit:
https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies
*** Network inference config:
device:
num_workers: 1
inference:
batch_size_inference: 1
inplane_size:
- 448
- 512
model_to_load: /usr/local/lib/python3.6/site-packages/monaifbs/models/checkpoint_dynUnet_DiceXent.pt
nr_out_channels: 2
probability_threshold: 0.5
spacing:
- 0.8
- 0.8
- -1.0
output:
out_dir: seg
out_postfix: seg
Considering patch size = [448, 512, 1]
Using device: cpu
*** Preparing data ...
*** Preparing network ...
*** Preparing evaluator ...
Using sigmoid=False and softmax=True as final activation
*** Running evaluator ...
INFO:ignite.engine.engine.DynUNetEvaluator:Engine run resuming from iteration 0, epoch 0 until 1 epochs
INFO:ignite.engine.engine.DynUNetEvaluator:Restored all variables from /usr/local/lib/python3.6/site-packages/monaifbs/models/checkpoint_dynUnet_DiceXent.pt
INFO:ignite.engine.engine.DynUNetEvaluator:saved all the model outputs into files.
INFO:ignite.engine.engine.DynUNetEvaluator:Epoch[1] Complete. Time taken: 00:02:31
INFO:ignite.engine.engine.DynUNetEvaluator:Engine run complete. Time taken: 00:02:32
Done!
Traceback (most recent call last):
File "/usr/local/bin/fetal_brain_seg.py", line 104, in <module>
"check if the segmentation pipeline has failed".format(out_filename))
FileNotFoundError: Network output file seg/CC2-1-Ax/CC2-1-Ax_seg.nii not found, check if the segmentation pipeline has failed
BUT
Apptainer> ls seg/CC2-1-Ax/CC2-1-Ax_seg.nii*
seg/CC2-1-Ax/CC2-1-Ax_seg.nii.gz
seems the detection of file has some flaws on fetal_brain_seg.py about out_filename detection.
regards
Eric
The text was updated successfully, but these errors were encountered:
Helo Trying to run niftymic_segment_fetal_brains // fetal_brain_seg.py but it gaves an error while it looks it is OK
I'm runnig in a apptainer//singularity container
see:
BUT
seems the detection of file has some flaws on
fetal_brain_seg.py
about out_filename detection.regards
Eric
The text was updated successfully, but these errors were encountered: