rm requirements.txt

.github/workflows/test-eynollah.yml

@@ -34,3 +34,5 @@ jobs:
         pip install -r requirements-test.txt
     - name: Test with pytest
       run: make test
+    - name: Test docker build
+      run: make docker

Dockerfile

@@ -0,0 +1,26 @@
+ARG DOCKER_BASE_IMAGE
+FROM $DOCKER_BASE_IMAGE
+
+ARG VCS_REF
+ARG BUILD_DATE
+LABEL \
+    maintainer="https://ocr-d.de/kontakt" \
+    org.label-schema.vcs-ref=$VCS_REF \
+    org.label-schema.vcs-url="https://github.com/qurator-spk/eynollah" \
+    org.label-schema.build-date=$BUILD_DATE
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONIOENCODING=utf8
+ENV XDG_DATA_HOME=/usr/local/share
+
+WORKDIR /build-eynollah
+COPY src/ ./src
+COPY pyproject.toml .
+COPY requirements.txt .
+COPY README.md .
+COPY Makefile .
+RUN apt-get install -y --no-install-recommends g++
+RUN make install
+
+WORKDIR /data
+VOLUME /data

Makefile

@@ -1,6 +1,11 @@
 EYNOLLAH_MODELS ?= $(PWD)/models_eynollah
 export EYNOLLAH_MODELS
 
+# DOCKER_BASE_IMAGE = artefakt.dev.sbb.berlin:5000/sbb/ocrd_core:v2.68.0
+DOCKER_BASE_IMAGE = docker.io/ocrd/core:v2.68.0
+DOCKER_TAG = ocrd/eynollah
+
+
 # BEGIN-EVAL makefile-parser --make-help Makefile
 
 help:
@@ -45,3 +50,12 @@ smoke-test:
 # Run unit tests
 test:
 	pytest tests
+
+# Build docker image
+docker:
+	docker build \
+	--build-arg DOCKER_BASE_IMAGE=$(DOCKER_BASE_IMAGE) \
+	--build-arg VCS_REF=$$(git rev-parse --short HEAD) \
+	--build-arg BUILD_DATE=$$(date -u +"%Y-%m-%dT%H:%M:%SZ") \
+	-t $(DOCKER_TAG) .
+

README.md

@@ -21,7 +21,7 @@
 :warning: Development is currently focused on achieving the best possible quality of results for a wide variety of historical documents and therefore processing can be very slow. We aim to improve this, but contributions are welcome.
 
 ## Installation
-Python `3.8-3.11` with Tensorflow `2.12-2.15` on Linux are currently supported.
+Python `3.8-3.11` with Tensorflow `<2.13` on Linux are currently supported.
 
 For (limited) GPU support the CUDA toolkit needs to be installed.