|
|
import os
|
|
|
import shutil
|
|
|
import subprocess
|
|
|
import urllib.request
|
|
|
|
|
|
import pytest
|
|
|
import logging
|
|
|
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')
|
|
|
WORKSPACE_DIR = '/tmp/test-ocrd-calamari'
|
|
|
|
|
|
|
|
|
@pytest.fixture
|
|
|
def workspace():
|
|
|
if os.path.exists(WORKSPACE_DIR):
|
|
|
shutil.rmtree(WORKSPACE_DIR)
|
|
|
os.makedirs(WORKSPACE_DIR)
|
|
|
|
|
|
resolver = Resolver()
|
|
|
workspace = resolver.workspace_from_url(METS_KANT, dst_dir=WORKSPACE_DIR)
|
|
|
|
|
|
# XXX Work around data bug(?):
|
|
|
# PAGE-XML links to OCR-D-IMG/INPUT_0017.tif, but this is nothing core can download
|
|
|
os.makedirs(os.path.join(WORKSPACE_DIR, 'OCR-D-IMG'))
|
|
|
for f in ['INPUT_0017.tif', 'INPUT_0020.tif']:
|
|
|
urllib.request.urlretrieve(
|
|
|
"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)
|
|
|
# b. ocrd_olena which 1. I cannot fully install via pip and 2. whose dependency olena doesn't compile on my
|
|
|
# machine
|
|
|
# c. just fumble with the original files
|
|
|
#
|
|
|
# So I'm going for option c.
|
|
|
for f in ['INPUT_0017.tif', 'INPUT_0020.tif']:
|
|
|
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
|
|
|
|
|
|
CalamariRecognize(
|
|
|
workspace,
|
|
|
input_file_grp="OCR-D-GT-SEG-LINE",
|
|
|
output_file_grp="OCR-D-OCR-CALAMARI",
|
|
|
parameter={'checkpoint': CHECKPOINT}
|
|
|
).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()
|
|
|
|
|
|
|
|
|
def test_recognize_should_warn_if_given_rgb_image_and_single_channel_model(workspace, caplog):
|
|
|
caplog.set_level(logging.WARNING)
|
|
|
CalamariRecognize(
|
|
|
workspace,
|
|
|
input_file_grp="OCR-D-GT-SEG-LINE",
|
|
|
output_file_grp="OCR-D-OCR-CALAMARI-BROKEN",
|
|
|
parameter={'checkpoint': CHECKPOINT}
|
|
|
).process()
|
|
|
|
|
|
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!
|