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docker-compose-template.yml
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version: "2"
services:
tf-pred: # Run prediction on the final data in (from /final_CT)
image: chezhipower/smi_pipeline:latest
container_name: 'smi_on_server3'
ports:
- "8884:8888"
volumes:
- /home/elan/sarcopenia_segmentation/Muscle_Segmentation:/tf/smipipeline
- /home/elan/sarcopenia_segmentation/pickles:/tf/pickles
- /home/elan/sarcopenia_segmentation/final_CT:/tf/data
- /home/elan/sarcopenia_segmentation/models:/tf/models
- /home/elan/sarcopenia_segmentation/output:/tf/output
runtime: nvidia
environment:
- NVIDIA_VISIBLE_DEVICES=0
rpy: # Run Analysis on the final data in (from /final_CT)
image: rpy2/jupyter_ds-ubuntu
container_name: 'smi_rpy'
ports:
- "8898:8888"
volumes:
- /home/elan/sarcopenia_segmentation/Muscle_Segmentation:/home/jupyteruser/smipipeline
- /home/elan/sarcopenia_segmentation/pickles:/home/jupyteruser/pickles
- /home/elan/sarcopenia_segmentation/final_CT:/home/jupyteruser/data
- /home/elan/sarcopenia_segmentation/models:/home/jupyteruser/models
- /home/elan/sarcopenia_segmentation/output:/home/jupyteruser/output