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Merge pull request #63 from pwalczysko/s3
livingobjects
2 parents 5ba303a + a5e6812 commit 17536a9

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-18
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-18
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.github/workflows/build.yml

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@@ -13,15 +13,15 @@ jobs:
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build:
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strategy:
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matrix:
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os: [ubuntu-latest, windows-latest, macos-latest]
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os: [ubuntu-24.04, windows-latest, macos-latest]
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runs-on: ${{ matrix.os }}
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: '3.9'
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python-version: '3.12'
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- name: Install Conda environment with Micromamba
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uses: mamba-org/provision-with-micromamba@v15
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uses: mamba-org/setup-micromamba@v3
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with:
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environment-file: binder/environment.yml
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environment-name: binder

binder/environment.yml

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@@ -2,20 +2,20 @@ name: omero-guide-python
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channels:
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- conda-forge
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dependencies:
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- python==3.9.*
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- python==3.12.*
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- conda-forge::zeroc-ice==3.6.5
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- distributed==2022.2.0
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- distributed==2026.3.0
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- pip
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- pip:
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- matplotlib==3.8.4
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- pooch==1.8.1
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- omero-py==5.19.2
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- omero-py==5.22.1
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- scikit-image==0.22.0
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- pandas==2.2.2
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- pandas==3.0.2
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- jupyter==1.0.0
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- ome-zarr==0.8.3
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- ome-zarr==0.14.0
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- dask-image==2023.8.1
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- cellpose==3.0.7
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- geojson==3.1.0
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- geojson==3.2.0
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# dependency used to convert the OMERO masks into numpy array
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- omero-cli-zarr==0.5.5
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- omero-cli-zarr==0.8.0

notebooks/idr0044_zarr_segmentation_parallel.ipynb

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"outputs": [],
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"source": [
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"def load_binary_from_s3(id, resolution='4'):\n",
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" endpoint_url = 'https://uk1s3.embassy.ebi.ac.uk/'\n",
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" root = 'idr/zarr/v0.1/%s.zarr/%s/' % (id, resolution)\n",
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" endpoint_url = 'https://livingobjects.ebi.ac.uk/'\n",
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" root = 'idr/zarr/v0.4/idr0044/%s.zarr/%s/' % (id, resolution)\n",
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" return da.from_zarr(endpoint_url + root)"
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]
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},

notebooks/idr0062_prediction_zarr_public_s3.ipynb

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"metadata": {},
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"outputs": [],
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"source": [
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"ENPOINT_URL = 'https://uk1s3.embassy.ebi.ac.uk/'"
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"ENPOINT_URL = 'https://livingobjects.ebi.ac.uk/'"
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]
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},
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{

notebooks/zarr-public-s3-multiscale.ipynb

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"# imageid = 9822151\n",
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"imageid = 9822152\n",
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"\n",
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"endpoint = 'https://uk1s3.embassy.ebi.ac.uk'\n",
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"endpoint = 'https://livingobjects.ebi.ac.uk'\n",
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"imagepath = f'idr/zarr/v0.1/{imageid}.zarr'"
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]
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},

scripts/idr0044_zarr_segmentation_cluster.py

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# Load-binary
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def load_binary_from_s3(id, resolution='4'):
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endpoint_url = 'https://uk1s3.embassy.ebi.ac.uk/'
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root = 'idr/zarr/v0.1/%s.zarr/%s/' % (id, resolution)
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endpoint_url = 'https://livingobjects.ebi.ac.uk/'
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root = 'idr/zarr/v0.4/iddr0044/%s.zarr/%s/' % (id, resolution)
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return da.from_zarr(endpoint_url + root)
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scripts/idr0044_zarr_segmentation_parallel.py

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# Load-binary
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def load_binary_from_s3(id, resolution='4'):
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endpoint_url = 'https://uk1s3.embassy.ebi.ac.uk/'
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root = 'idr/zarr/v0.1/%s.zarr/%s/' % (id, resolution)
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endpoint_url = 'https://livingobjects.ebi.ac.uk/'
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root = 'idr/zarr/v0.4/iddr0044/%s.zarr/%s/' % (id, resolution)
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return da.from_zarr(endpoint_url + root)
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