add Dockerfile and GH Action to publish at Dockerhub and GHCR

.github/workflows/docker-image.yml

@@ -0,0 +1,42 @@
+name: Docker Image CI
+
+on:
+  push:
+    branches: [ "master" ]
+  workflow_dispatch: # run manually
+
+jobs:
+
+  build:
+
+    runs-on: ubuntu-latest
+    permissions:
+      packages: write
+      contents: read
+
+    steps:
+    - name: Replace underscores in tag name
+      run: NAME="$GITHUB.REPOSITORY"; echo DOCKER_TAG=${NAME//_//} >> $GITHUB_ENV
+    - uses: actions/checkout@v3
+    - # Activate cache export feature to reduce build time of image
+      name: Set up Docker Buildx
+      uses: docker/setup-buildx-action@v2
+    - name: Build the Docker image
+      run: make docker DOCKER_TAG=${{ env.DOCKER_TAG }}
+    - name: Login to Dockerhub
+      uses: docker/login-action@v2
+      with:
+        username: ${{ secrets.DOCKERHUB_USERNAME }}
+        password: ${{ secrets.DOCKERHUB_PASSWORD }}
+    - name: Push image to Dockerhub
+      run: docker push ${{ env.DOCKER_TAG }}
+    - name: Alias the Docker image for GHCR
+      run: docker tag ${{ env.DOCKER_TAG }} ghcr.io/${{ env.DOCKER_TAG }}
+    - name: Login to GitHub Container Registry
+      uses: docker/login-action@v2
+      with:
+        registry: ghcr.io
+        username: ${{ github.actor }}
+        password: ${{ secrets.GITHUB_TOKEN }}
+    - name: Push image to Github Container Registry
+      run: docker push ghcr.io/${{ env.DOCKER_TAG }}

Dockerfile

@@ -0,0 +1,37 @@
+FROM ocrd/core-cuda
+ARG VCS_REF
+ARG BUILD_DATE
+LABEL \
+    maintainer="https://ocr-d.de/kontakt" \
+    org.label-schema.vcs-ref=$VCS_REF \
+    org.label-schema.vcs-url="https://github.com/bertsky/detectron2" \
+    org.label-schema.build-date=$BUILD_DATE
+
+ENV DEBIAN_FRONTEND noninteractive
+ENV PYTHONIOENCODING utf8
+
+# avoid HOME/.local/share (hard to predict USER here)
+# so let XDG_DATA_HOME coincide with fixed system location
+# (can still be overridden by derived stages or at runtime)
+# should be combined with a bind-mount at runtime
+ENV XDG_DATA_HOME /usr/local/share
+
+WORKDIR /build-ocrd
+COPY setup.py .
+COPY ocrd_detectron2/ocrd-tool.json .
+COPY README.md .
+COPY requirements.txt .
+COPY requirements-test.txt .
+COPY ocrd_detectron2 ./ocrd_detectron2
+COPY Makefile .
+RUN apt-get install -y --no-install-recommends g++ && \
+    make deps && \
+    make install && \
+    rm -rf /build-ocrd && \
+    apt-get -y remove --auto-remove g++
+
+WORKDIR /data
+VOLUME /data
+
+# override Nvidia entrypoint
+ENTRYPOINT []

Makefile

@@ -3,6 +3,9 @@ PIP = pip3
 PYTHONIOENCODING=utf8
 SHELL = /bin/bash
 
+# Docker container tag
+DOCKER_TAG = 'bertsky/detectron2'
+
 help:
 	@echo
 	@echo "  Targets"
@@ -12,10 +15,12 @@ help:
 	@echo "    deps-test Install Python dependencies for tests via pip and models via resmgr"
 	@echo "    test      Run regression tests"
 	@echo "    clean     Remove symlinks in test/assets"
+	@echo "    docker    Build Docker image"
 	@echo
 	@echo "  Variables"
 	@echo "    PYTHON"
 	@echo "    CUDA_VERSION  override detection of CUDA runtime version (e.g. '11.3' or 'CPU')"
+	@echo "    DOCKER_TAG    Docker image tag of result for the docker target"
 
 # Install Python deps via pip
 # There is no prebuilt for detectron2 on PyPI, and the wheels depend on CUDA and Torch version.
@@ -81,6 +86,13 @@ test/assets: repo/assets
 clean:
 	-$(RM) -r test/assets
 
+# Build docker image
+docker:
+	docker build \
+	--build-arg VCS_REF=$$(git rev-parse --short HEAD) \
+	--build-arg BUILD_DATE=$$(date -u +"%Y-%m-%dT%H:%M:%SZ") \
+	-t $(DOCKER_TAG) .
+
 #MODELDIR := $(or $(XDG_DATA_HOME),$(HOME)/.local/share)/ocrd-resources/ocrd-detectron2-segment
 
 TESTMODEL := TableBank_X152_Psarpei
@@ -124,4 +136,4 @@ count-regions := python -c "import sys; from ocrd_models.ocrd_page import parse;
 # make cannot delete directories, so keep them
 .PRECIOUS .SECONDARY: %/OCR-D-BIN %/OCR-D-SEG-$(MODEL)
 
-.PHONY: help deps install deps-test models-test test clean
+.PHONY: help deps install deps-test models-test test clean docker