Comments (5)
That's what I thought about too that these images without names are intermediate containers. I would add a note in the instructions to use --rm=true
to the docker build to remove intermediate containers after a successful build.
I can't use the GPU one on the windows, since docker images with GPU support needs the nvidia-container, which is only available on Linux hosts. Also trying of testing the FastSurfer on a VMware ESXi server, where I can assign a GPU to a Linux VM. That was one easy, wanted to make a Windows test too.
Thanks
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Hey,
can you post the exact command you were running and from which directory?
Best,
Leonie
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I figured it out, the best way to install on a Windows with Docker Desktop is
git clone https://github.com/Deep-MI/FastSurfer/ c:\Temp\FastSurfer
cd c:\Temp\FastSurfer
docker build -t fastsurfercnn_cpu/cpu -f c:\Temp\FastSurfer\Docker\Dockerfile_FastSurferCNN_CPU .
However I see a lot more docker images, are all these necessary of only fastsurfercnn_cpu/cpu is enough for testing the FastSurfer
Thank you
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These look like intermediate images where the build failed/was rerun. You should be able to remove them with docker system prune
(at least on centos/linux, I have never used Docker on Windows). Only the last image (with the actual name) should be the relevant one.
The fastsurfercnn_cpu image can be used to run just the segmentation network on the cpu. Mind you, this might take some time and we recommend using a gpu instead (1 min). On our servers with 72 cores FastSurferCNN (3 segmentation networks and view aggregation) finishes in around 20-23 mins on the CPU. When using only 6 cores it takes 1h. Just so you know...
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Ok, cool thanks! I was not aware of the --rm=true flag for the docker build command. I added it in the documentation and default build script (commits c5e9677 and 2f2edfa).
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Related Issues (20)
- CC values all 0 in aseg+DKT.stats HOT 5
- input image contains negative values and gpu memory issue HOT 6
- Issue creating symbolic links when running fastsurfer-gpu.sif HOT 6
- Error during smooth_aparc.py mode HOT 1
- Error during smooth_aparc.py mode_filter HOT 5
- Biasfield-corrected image input of the segstats.py HOT 4
- Use of '--rm' argument in build.py results in a TypeError HOT 4
- Is it possible to get segstats of cerebellum after run FastSurfer pipeline? HOT 3
- Some zeros in aseg.stats HOT 8
- Fooocus colab stopping with this error HOT 4
- FastSurfer surf pipeline did not finish: Missing .label files (not enough memory for mris_sample_parc) HOT 11
- conform.py bug HOT 2
- srun_fastsurfer.sh on HPC, surface pipeline fails for hundreds but works for tens of subjects HOT 8
- Question about content of wmparc.DKTatlas.mapped.mgz HOT 1
- Support for lesion masks? HOT 1
- Unmatched ROIs in predicted segmentation and provided FastSurfer_ColorLUT.tsv HOT 23
- FastSurfer Segmentation Modules: disable conformation of input image to isometric spaces HOT 5
- FastSurfer QuickSeg doesn't work with OASIS `.img` files HOT 3
- Docker build workflows HOT 5
- Model download issue HOT 22
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