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| $schema: https://azuremlschemas.azureedge.net/latest/compute.schema.json | ||
| name: gpu-cluster | ||
| type: amlcompute | ||
| size: Standard_NC24s_v3 | ||
| min_instances: 0 | ||
| max_instances: 2 |
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| name: conda-env | ||
| channels: | ||
| - conda-forge | ||
| dependencies: | ||
| - python=3.8 | ||
| - pip | ||
| - pip: | ||
| - albumentations | ||
| - azure-storage-blob | ||
| - azureml-sdk | ||
| - click | ||
| - ipyplot | ||
| - jupyter | ||
| - jupytext | ||
| - matplotlib | ||
| - numpy>=1.20 | ||
| - pandas | ||
| - pycocotools | ||
| - python-dotenv | ||
| - scikit-learn | ||
| - seaborn | ||
| - segmentation-models-pytorch | ||
| - torch | ||
| - torchmetrics | ||
| - torchvision |
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| $schema: https://azuremlschemas.azureedge.net/latest/dataset.schema.json | ||
| name: drone-dataset | ||
| version: 1 | ||
| datastore: azureml:workspaceblobstore | ||
| local_path: <path-to-local-dataset> |
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| $schema: https://azuremlschemas.azureedge.net/latest/environment.schema.json | ||
| name: semantic-segmentation | ||
| version: 1 | ||
| docker: | ||
| image: mcr.microsoft.com/azureml/openmpi3.1.2-ubuntu18.04 | ||
| conda_file: file:conda_envs/conda_env.yml |