Merge pull request #70 from bertsky/add-docker

add Docker and GHA CD via Dockerhub
master
Clemens Neudecker 1 month ago committed by GitHub
commit 5385162726
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@ -19,6 +19,7 @@ jobs:
paths:
ocrd-resources
- run: make test
resource_class: large
workflows:
@ -27,5 +28,5 @@ workflows:
- build-python:
matrix:
parameters:
python-version: ['3.7', '3.8', '3.9', '3.10']
python-version: ['3.8', '3.9', '3.10', '3.11']

@ -0,0 +1,47 @@
name: Docker Image CD
on:
push:
branches: [ "master" ]
workflow_dispatch:
inputs:
docker-tagname:
description: Tag name of the Docker image
default: 'ocrd/sbb_binarization'
env:
DOCKER_TAGNAME: ${{ github.evenv.inputs.docker-tagname || 'ocrd/sbb_binarization' }}
jobs:
build:
runs-on: ubuntu-latest
permissions:
packages: write
contents: read
steps:
- uses: actions/checkout@v4
- # Activate cache export feature to reduce build time of image
name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Build the Docker image
run: make docker DOCKER_TAG=${{ env.DOCKER_TAGNAME }}
- 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_TAGNAME }}
- name: Alias the Docker image for GHCR
run: docker tag ${{ env.DOCKER_TAGNAME }} ghcr.io/${{ github.repository }}
- name: Login to GitHub Container Registry
uses: docker/login-action@v2
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Push image to Github Container Registry
run: docker push ghcr.io/${{ github.repository }}

@ -3,7 +3,10 @@
name: CLI Tests
on: [push, pull_request]
on:
push:
pull_request:
workflow_dispatch:
jobs:
build:
@ -11,7 +14,7 @@ jobs:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ['3.7', '3.8', '3.9', '3.10']
python-version: ['3.8', '3.9', '3.10']
steps:
- uses: actions/checkout@v4
- name: Set up Python

@ -0,0 +1,22 @@
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/sbb_binarization" \
org.label-schema.build-date=$BUILD_DATE
WORKDIR /build/sbb_binarization
COPY pyproject.toml .
COPY ocrd-tool.json .
COPY sbb_binarize ./sbb_binarize
COPY requirements.txt .
COPY README.md .
COPY Makefile .
RUN make install
RUN rm -rf /build/sbb_binarization
WORKDIR /data
VOLUME ["/data"]

@ -1,5 +1,9 @@
# BEGIN-EVAL makefile-parser --make-help Makefile
# should really be core-cuda-tf2, but not as long as we must restrict TF2 minor version
DOCKER_BASE_IMAGE = docker.io/ocrd/core-cuda:v2.69.0
DOCKER_TAG = ocrd/sbb_binarization
.PHONY: help install
help:
@echo ""
@ -10,13 +14,18 @@ help:
@echo " test Run tests"
@echo " clean Remove copies/results in test/assets"
@echo ""
@echo " docker Build a Docker image $(DOCKER_TAG) from $(DOCKER_BASE_IMAGE)"
@echo ""
@echo " Variables"
@echo ""
@echo " PYTHON"
@echo " DOCKER_TAG Docker image tag of result for the docker target"
# END-EVAL
# Install with pip
install:
pip install -U setuptools pip
pip install .
# Downloads the pre-trained models from qurator-data.de
@ -40,6 +49,15 @@ test: test/assets models
ocrd-sbb-binarize -m test/assets/kant_aufklaerung_1784-page-region/data/mets.xml -g phys_0001 -I OCR-D-GT-SEG-REGION -O BIN -P model default -P operation_level region
ocrd-sbb-binarize -m test/assets/kant_aufklaerung_1784-page-region/data/mets.xml -g phys_0001 -I OCR-D-GT-SEG-REGION -O BIN2 -P model default-2021-03-09 -P operation_level region
.PHONY: docker
docker:
docker build \
--build-arg DOCKER_BASE_IMAGE=$(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 $(DOCKER_TAG) .
.PHONY: clean
clean:
-$(RM) -fr test/assets

@ -3,7 +3,8 @@
> Document Image Binarization
[![pip release](https://img.shields.io/pypi/v/sbb-binarization.svg)](https://pypi.org/project/sbb-binarization/)
[![GHActions Tests](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml/badge.svg)](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml)
[![GHActions CI](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml/badge.svg)](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml)
[![GHActions CD](https://github.com/qurator-spk/sbb_binarization/actions/workflows/docker-image.yml/badge.svg)](https://github.com/qurator-spk/sbb_binarization/actions/workflows/docker-image.yml)
<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">
@ -13,16 +14,19 @@ Python `3.7-3.10` with Tensorflow `<=2.11.1` are currently supported. While newe
You can either install from PyPI via
```
pip install sbb-binarization
```
or clone the repository, enter it and install (editable) with
```
git clone git@github.com:qurator-spk/sbb_binarization.git
cd sbb_binarization; pip install -e .
```
Alternatively, download the prebuilt image from Dockerhub:
docker pull ocrd/sbb_binarization
### Models

@ -0,0 +1,47 @@
[build-system]
requires = ["setuptools>=61.0", "wheel", "setuptools-ocrd"]
[project]
name = "sbb_binarization"
authors = [
{name = "Vahid Rezanezhad"},
{name = "Staatsbibliothek zu Berlin - Preußischer Kulturbesitz"},
]
description = "Pixelwise binarization with selectional auto-encoders in Keras"
readme = "README.md"
license.file = "LICENSE"
requires-python = ">=3.8"
dynamic = ["dependencies", "version"]
classifiers = [
"Development Status :: 4 - Beta",
"Environment :: Console",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Topic :: Scientific/Engineering :: Image Processing",
]
[project.scripts]
sbb_binarize = "sbb_binarize.cli:main"
ocrd-sbb-binarize = "sbb_binarize.ocrd_cli:cli"
[project.urls]
Homepage = "https://github.com/qurator-spk/sbb_binarization"
Repository = "https://github.com/qurator-spk/sbb_binarization.git"
[tool.setuptools.dynamic]
dependencies = {file = ["requirements.txt"]}
[tool.setuptools.packages.find]
where = ["."]
include = ["sbb_binarize"]
namespaces = false
[tool.setuptools]
include-package-data = true
[tool.setuptools.package-data]
"*" = ["*.json"]

@ -2,4 +2,4 @@ numpy
setuptools >= 41
opencv-python-headless
ocrd >= 2.38.0
tensorflow <= 2.11.1
tensorflow < 2.13

@ -1,30 +0,0 @@
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from json import load
from setuptools import setup, find_packages
with open('./ocrd-tool.json', 'r') as f:
version = load(f)['version']
install_requires = open('requirements.txt').read().split('\n')
setup(
name='sbb_binarization',
version=version,
description='Pixelwise binarization with selectional auto-encoders in Keras',
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
author='Vahid Rezanezhad',
url='https://github.com/qurator-spk/sbb_binarization',
license='Apache License 2.0',
packages=find_packages(exclude=('test', 'repo')),
include_package_data=True,
package_data={'': ['*.json', '*.yml', '*.yaml']},
install_requires=install_requires,
entry_points={
'console_scripts': [
'sbb_binarize=sbb_binarize.cli:main',
'ocrd-sbb-binarize=sbb_binarize.ocrd_cli:cli',
]
},
)
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