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add GHA CD via Dockerhub
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4 changed files with 97 additions and 8 deletions
47
.github/workflows/docker-image.yml
vendored
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47
.github/workflows/docker-image.yml
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name: Docker Image CD
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on:
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push:
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branches: [ "master" ]
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workflow_dispatch:
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inputs:
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docker-tagname:
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description: Tag name of the Docker image
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default: 'ocrd/sbb_binarization'
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env:
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DOCKER_TAGNAME: ${{ github.evenv.inputs.docker-tagname || 'ocrd/sbb_binarization' }}
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jobs:
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build:
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runs-on: ubuntu-latest
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permissions:
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packages: write
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contents: read
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steps:
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- uses: actions/checkout@v4
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- # Activate cache export feature to reduce build time of image
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name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v2
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- name: Build the Docker image
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run: make docker DOCKER_TAG=${{ env.DOCKER_TAGNAME }}
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- name: Login to Dockerhub
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uses: docker/login-action@v2
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with:
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username: ${{ secrets.DOCKERHUB_USERNAME }}
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password: ${{ secrets.DOCKERHUB_PASSWORD }}
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- name: Push image to Dockerhub
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run: docker push ${{ env.DOCKER_TAGNAME }}
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- name: Alias the Docker image for GHCR
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run: docker tag ${{ env.DOCKER_TAGNAME }} ghcr.io/${{ github.repository }}
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- name: Login to GitHub Container Registry
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uses: docker/login-action@v2
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with:
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registry: ghcr.io
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Push image to Github Container Registry
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run: docker push ghcr.io/${{ github.repository }}
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22
Dockerfile
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22
Dockerfile
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ARG DOCKER_BASE_IMAGE
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FROM $DOCKER_BASE_IMAGE
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ARG VCS_REF
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ARG BUILD_DATE
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LABEL \
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maintainer="https://ocr-d.de/kontakt" \
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org.label-schema.vcs-ref=$VCS_REF \
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org.label-schema.vcs-url="https://github.com/qurator-spk/sbb_binarization" \
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org.label-schema.build-date=$BUILD_DATE
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WORKDIR /build/sbb_binarization
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COPY setup.py .
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COPY ocrd-tool.json .
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COPY sbb_binarize ./sbb_binarize
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COPY requirements.txt .
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COPY README.md .
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COPY Makefile .
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RUN make install
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RUN rm -rf /build/sbb_binarization
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WORKDIR /data
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VOLUME ["/data"]
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16
Makefile
16
Makefile
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# BEGIN-EVAL makefile-parser --make-help Makefile
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DOCKER_BASE_IMAGE = docker.io/ocrd/core:v2.69.0
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DOCKER_TAG = ocrd/nmalign
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.PHONY: help install
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help:
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@echo ""
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@echo " test Run tests"
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@echo " clean Remove copies/results in test/assets"
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@echo ""
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@echo " docker Build a Docker image $(DOCKER_TAG) from $(DOCKER_BASE_IMAGE)"
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@echo ""
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@echo " Variables"
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@echo ""
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@echo " PYTHON"
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@echo " DOCKER_TAG Docker image tag of result for the docker target"
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# END-EVAL
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@ -40,6 +47,15 @@ test: test/assets models
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ocrd-sbb-binarize -m test/assets/kant_aufklaerung_1784-page-region/data/mets.xml -g phys_0001 -I OCR-D-GT-SEG-REGION -O BIN -P model default -P operation_level region
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ocrd-sbb-binarize -m test/assets/kant_aufklaerung_1784-page-region/data/mets.xml -g phys_0001 -I OCR-D-GT-SEG-REGION -O BIN2 -P model default-2021-03-09 -P operation_level region
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.PHONY: docker
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docker:
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docker build \
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--build-arg DOCKER_BASE_IMAGE=$(DOCKER_BASE_IMAGE) \
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--build-arg VCS_REF=$$(git rev-parse --short HEAD) \
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--build-arg BUILD_DATE=$$(date -u +"%Y-%m-%dT%H:%M:%SZ") \
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-t $(DOCKER_TAG) .
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.PHONY: clean
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clean:
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-$(RM) -fr test/assets
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20
README.md
20
README.md
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> Document Image Binarization
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[](https://pypi.org/project/sbb-binarization/)
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[](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml)
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[](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml)
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[](https://github.com/qurator-spk/sbb_binarization/actions/workflows/docker-image.yml)
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<img src="https://user-images.githubusercontent.com/952378/63592437-e433e400-c5b1-11e9-9c2d-889c6e93d748.jpg" width="180"><img src="https://user-images.githubusercontent.com/952378/63592435-e433e400-c5b1-11e9-88e4-3e441b61fa67.jpg" width="180"><img src="https://user-images.githubusercontent.com/952378/63592440-e4cc7a80-c5b1-11e9-8964-2cd1b22c87be.jpg" width="220"><img src="https://user-images.githubusercontent.com/952378/63592438-e4cc7a80-c5b1-11e9-86dc-a9e9f8555422.jpg" width="220">
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@ -13,16 +14,19 @@ Python `3.7-3.10` with Tensorflow `<=2.11.1` are currently supported. While newe
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You can either install from PyPI via
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```
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pip install sbb-binarization
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```
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pip install sbb-binarization
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or clone the repository, enter it and install (editable) with
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```
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git clone git@github.com:qurator-spk/sbb_binarization.git
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cd sbb_binarization; pip install -e .
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```
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git clone git@github.com:qurator-spk/sbb_binarization.git
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cd sbb_binarization; pip install -e .
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Alternatively, download the prebuilt image from Dockerhub:
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docker pull ocrd/sbb_binarization
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### Models
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