minimal CI setup
parent
6543e74deb
commit
a24670edcc
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version: 2
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jobs:
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build-python36:
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docker:
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- image: python:3.6
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steps:
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- checkout
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- restore_cache:
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keys:
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- model-cache
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- run: make model
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- save_cache:
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key: model-cache
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paths:
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models.tar.gz
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models
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- run: make install
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- run: git submodule update --init
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- run: make test
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build-python37:
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docker:
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- image: python:3.7
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steps:
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- checkout
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- restore_cache:
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keys:
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- model-cache
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- run: make model
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- save_cache:
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key: model-cache
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paths:
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models.tar.gz
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models
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- run: make install
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- run: git submodule update --init
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- run: make test
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workflows:
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version: 2
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build:
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jobs:
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- build-python36
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- build-python37
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#- build-python38 # no tensorflow for python 3.8
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all: install
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# Directory to store models
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MODEL_DIR = $(PWD)/models
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# BEGIN-EVAL makefile-parser --make-help Makefile
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help:
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@echo ""
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@echo " Targets"
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@echo ""
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@echo " install Install with pip"
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@echo " model Downloads the pre-trained models from qurator-data.de"
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@echo " test Run tests"
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@echo ""
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@echo " Variables"
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@echo ""
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@echo " MODEL_DIR Directory to store models"
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# END-EVAL
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# Install with pip
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install:
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pip install .
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# Downloads the pre-trained models from qurator-data.de
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model: $(MODEL_DIR)/model1_bin.h5
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$(MODEL_DIR)/model1_bin.h5: models.tar.gz
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tar xf models.tar.gz
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models.tar.gz:
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wget 'https://qurator-data.de/sbb_binarization/models.tar.gz'
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# Run tests
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test: model
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cd repo/assets/data/kant_aufklaerung_1784/data; ocrd-sbb-binarize -I OCR-D-IMG -O BIN -P model $(MODEL_DIR)
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cd repo/assets/data/kant_aufklaerung_1784-page-region/data; ocrd-sbb-binarize -I OCR-D-IMG -O BIN -P model $(MODEL_DIR) -P level-of-operation region
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