qurator-spk/ocrd_calamari
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👷🏾‍♂️ Use gt4histocr-calamari1/ as directory name for the Calmari 1 model

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Gerber, Mike 2020-11-25 12:09:41 +01:00
parent 0a9dbd0c25
commit 0e59c2317a
3 changed files with 11 additions and 11 deletions
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12
Makefile
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@ -11,7 +11,7 @@ help:
@echo " Targets"
@echo ""
@echo " install Install ocrd_calamari"
@echo " gt4histocr-calamari Get GT4HistOCR Calamari model (from SBB)"
@echo " gt4histocr-calamari1 Get GT4HistOCR Calamari model (from SBB)"
@echo " actevedef_718448162 Download example data"
@echo " deps-test Install testing python deps via pip"
@echo " repo/assets Clone OCR-D/assets to ./repo/assets"
@ -34,9 +34,9 @@ install:
# Get GT4HistOCR Calamari model (from SBB)
gt4histocr-calamari:
mkdir gt4histocr-calamari
cd gt4histocr-calamari && \
gt4histocr-calamari1:
mkdir -p gt4histocr-calamari1
cd gt4histocr-calamari1 && \
wget https://qurator-data.de/calamari-models/GT4HistOCR/2019-12-11T11_10+0100/model.tar.xz && \
tar xfv model.tar.xz && \
rm model.tar.xz
@ -73,12 +73,12 @@ assets-clean:
rm -rf test/assets
# Run unit tests
test: test/assets gt4histocr-calamari
test: test/assets gt4histocr-calamari1
# declare -p HTTP_PROXY
$(PYTHON) -m pytest --continue-on-collection-errors test $(PYTEST_ARGS)
# Run unit tests and determine test coverage
coverage: test/assets gt4histocr-calamari
coverage: test/assets gt4histocr-calamari1
coverage erase
make test PYTHON="coverage run"
coverage report

8
README.md
View file

@ -41,8 +41,8 @@ pip install .
Download models trained on GT4HistOCR data:
```
make gt4histocr-calamari
ls gt4histocr-calamari
make gt4histocr-calamari1
ls gt4histocr-calamari1
```
## Example Usage
@ -50,7 +50,7 @@ Before using `ocrd-calamari-recognize` get some example data and model, and
prepare the document for OCR:
```
# Download model and example data
make gt4histocr-calamari
make gt4histocr-calamari1
make actevedef_718448162
# Create binarized images and line segmentation using other OCR-D projects
@ -62,7 +62,7 @@ ocrd-tesserocr-segment-line -I OCR-D-SEG-REGION -O OCR-D-SEG-LINE
Finally recognize the text using ocrd_calamari and the downloaded model:
```
ocrd-calamari-recognize -p '{ "checkpoint": "../gt4histocr-calamari/*.ckpt.json" }' -I OCR-D-SEG-LINE -O OCR-D-OCR-CALAMARI
ocrd-calamari-recognize -p '{ "checkpoint": "../gt4histocr-calamari1/*.ckpt.json" }' -I OCR-D-SEG-LINE -O OCR-D-OCR-CALAMARI
```
You may want to have a look at the [ocrd-tool.json](ocrd_calamari/ocrd-tool.json) descriptions

2
test/test_recognize.py
View file

@ -14,7 +14,7 @@ from .base import assets
METS_KANT = assets.url_of('kant_aufklaerung_1784-page-region-line-word_glyph/data/mets.xml')
WORKSPACE_DIR = '/tmp/test-ocrd-calamari'
CHECKPOINT = os.path.join(os.getcwd(), 'gt4histocr-calamari/*.ckpt.json')
CHECKPOINT = os.path.join(os.getcwd(), 'gt4histocr-calamari1/*.ckpt.json')
# Because XML namespace versions are so much fun, we not only use one, we use TWO!
NSMAP = { "pc": "http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15" }