Ostu threshold
Goal
Create a container and run the otsu
step in the container image tagged localhost/otsu:latest
.
Lab
This step has a dedicated lab available at /workspace/mastering-app-package/practice-labs/Containers/otsu.ipynb
Container
Each step has its own recipe to build the container image.
The otsu
step container image recipe is:
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13 | FROM docker.io/library/python:3.11-slim@sha256:91e9d01cf4bd56be7128c603506b6fe367ef7506f9f2ad8f3a908aeec8941bb9
# System deps needed by rasterio wheels
RUN apt-get update && \
apt-get install -y --no-install-recommends libexpat1 && \
rm -rf /var/lib/apt/lists/*
RUN pip install --no-cache-dir "rasterio==1.4.3" "scikit-image==0.25.2" "click==8.2.1" "loguru==0.7.3" && \
python -c "import rasterio"
ADD app.py /app/app.py
ENTRYPOINT []
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Build the container image with:
terminal |
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| export WORKSPACE=/workspace/mastering-app-package
podman build --format docker -t localhost/otsu:latest ${WORKSPACE}/water-bodies/command-line-tools/otsu
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Run the container
The command to run the otsu
step in the container is:
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17 | podman \
run \
-i \
--userns=keep-id \
--mount=type=bind,source=/workspace/mastering-app-package/runs,target=/runs \
--mount=type=bind,source=/workspace/mastering-app-package/runs/norm_diff.tif,target=/inputs/norm_diff.tif,readonly \
--workdir=/runs \
--read-only=true \
--user=1001:100 \
--rm \
--env=HOME=/runs \
--env=PYTHONPATH=/app \
localhost/otsu:latest \
python \
-m \
app \
/inputs/norm_diff.tif
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Step
Run the command to run the otsu
step with:
sh -x ${WORKSPACE}/scripts/podman-otsu.sh
Expected outcome
The folder /workspace/mastering-app-package/runs
contains:
(base) jovyan@coder-mrossi:~/runs$ tree .
.
├── crop_green.tif
├── crop_nir.tif
├── norm_diff.tif
└── otsu.tif
0 directories, 4 files