qurator-spk/ocrd_calamari
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Merge branch 'master' into image-features

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Gerber, Mike 2021-02-09 18:17:23 +01:00
commit c0902cdef5
12 changed files with 385 additions and 105 deletions
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test/test_recognize.py
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@ -2,6 +2,8 @@ import os
import shutil
import subprocess
import urllib.request
from lxml import etree
from glob import glob
import pytest
import logging
@ -10,9 +12,14 @@ from ocrd.resolver import Resolver
from ocrd_calamari import CalamariRecognize
from .base import assets
METS_KANT = assets.url_of('kant_aufklaerung_1784-page-block-line-word_glyph/data/mets.xml')
CHECKPOINT = os.path.join(os.getcwd(), 'gt4histocr-calamari/*.ckpt.json')
METS_KANT = assets.url_of('kant_aufklaerung_1784-page-region-line-word_glyph/data/mets.xml')
WORKSPACE_DIR = '/tmp/test-ocrd-calamari'
CHECKPOINT_DIR = os.path.join(os.getcwd(), 'gt4histocr-calamari1')
CHECKPOINT = os.path.join(CHECKPOINT_DIR, '*.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" }
NSMAP_GT = { "pc": "http://schema.primaresearch.org/PAGE/gts/pagecontent/2013-07-15" }
@pytest.fixture
@ -32,10 +39,6 @@ def workspace():
"https://github.com/OCR-D/assets/raw/master/data/kant_aufklaerung_1784/data/OCR-D-IMG/" + f,
os.path.join(WORKSPACE_DIR, 'OCR-D-IMG', f))
return workspace
def test_recognize(workspace):
# The binarization options I have are:
#
# a. ocrd_kraken which tries to install cltsm, whose installation is borken on my machine (protobuf)
@ -48,17 +51,49 @@ def test_recognize(workspace):
ff = os.path.join(WORKSPACE_DIR, 'OCR-D-IMG', f)
subprocess.call(['convert', ff, '-threshold', '50%', ff])
# XXX Should remove GT text to really test this
# Remove GT Words and TextEquivs, to not accidently check GT text instead of the OCR text
# XXX Review data again
# XXX Make this more robust against namespace version changes
for of in workspace.mets.find_files(fileGrp="OCR-D-GT-SEG-LINE"):
workspace.download_file(of)
for to_remove in ["//pc:Word", "//pc:TextEquiv"]:
for ff in glob(os.path.join(WORKSPACE_DIR, "OCR-D-GT-SEG-LINE", "*")):
tree = etree.parse(ff)
for e in tree.xpath(to_remove, namespaces=NSMAP_GT):
e.getparent().remove(e)
tree.write(ff, xml_declaration=True, encoding="utf-8")
return workspace
def test_recognize(workspace):
CalamariRecognize(
workspace,
input_file_grp="OCR-D-GT-SEG-LINE",
output_file_grp="OCR-D-OCR-CALAMARI",
parameter={'checkpoint': CHECKPOINT}
parameter={
"checkpoint": CHECKPOINT,
}
).process()
workspace.save_mets()
page1 = os.path.join(workspace.directory, 'OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_0001.xml')
page1 = os.path.join(workspace.directory, "OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_0001.xml")
assert os.path.exists(page1)
with open(page1, "r", encoding="utf-8") as f:
assert "verſchuldeten" in f.read()
def test_recognize_with_checkpoint_dir(workspace):
CalamariRecognize(
workspace,
input_file_grp="OCR-D-GT-SEG-LINE",
output_file_grp="OCR-D-OCR-CALAMARI",
parameter={
"checkpoint_dir": CHECKPOINT_DIR,
}
).process()
workspace.save_mets()
page1 = os.path.join(workspace.directory, "OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_0001.xml")
assert os.path.exists(page1)
with open(page1, 'r', encoding='utf-8') as f:
assert 'verſchuldeten' in f.read()
@ -75,3 +110,61 @@ def test_recognize_should_warn_if_given_rgb_image_and_single_channel_model(works
interesting_log_messages = [t[2] for t in caplog.record_tuples if "Using raw image" in t[2]]
assert len(interesting_log_messages) > 10 # For every line!
with open(page1, "r", encoding="utf-8") as f:
assert "verſchuldeten" in f.read()
def test_word_segmentation(workspace):
CalamariRecognize(
workspace,
input_file_grp="OCR-D-GT-SEG-LINE",
output_file_grp="OCR-D-OCR-CALAMARI",
parameter={
"checkpoint": CHECKPOINT,
"textequiv_level": "word", # Note that we're going down to word level here
}
).process()
workspace.save_mets()
page1 = os.path.join(workspace.directory, "OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_0001.xml")
assert os.path.exists(page1)
tree = etree.parse(page1)
# The result should contain a TextLine that contains the text "December"
line = tree.xpath(".//pc:TextLine[pc:TextEquiv/pc:Unicode[contains(text(),'December')]]", namespaces=NSMAP)[0]
assert line
# The textline should a. contain multiple words and b. these should concatenate fine to produce the same line text
words = line.xpath(".//pc:Word", namespaces=NSMAP)
assert len(words) >= 2
words_text = " ".join(word.xpath("pc:TextEquiv/pc:Unicode", namespaces=NSMAP)[0].text for word in words)
line_text = line.xpath("pc:TextEquiv/pc:Unicode", namespaces=NSMAP)[0].text
assert words_text == line_text
# For extra measure, check that we're not seeing any glyphs, as we asked for textequiv_level == "word"
glyphs = tree.xpath("//pc:Glyph", namespaces=NSMAP)
assert len(glyphs) == 0
def test_glyphs(workspace):
CalamariRecognize(
workspace,
input_file_grp="OCR-D-GT-SEG-LINE",
output_file_grp="OCR-D-OCR-CALAMARI",
parameter={
"checkpoint": CHECKPOINT,
"textequiv_level": "glyph", # Note that we're going down to glyph level here
}
).process()
workspace.save_mets()
page1 = os.path.join(workspace.directory, "OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_0001.xml")
assert os.path.exists(page1)
tree = etree.parse(page1)
# The result should contain a lot of glyphs
glyphs = tree.xpath("//pc:Glyph", namespaces=NSMAP)
assert len(glyphs) >= 100
# vim:tw=120: