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@ -15,7 +15,6 @@ from .base import assets
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METS_KANT = assets.url_of('kant_aufklaerung_1784-page-region-line-word_glyph/data/mets.xml')
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WORKSPACE_DIR = '/tmp/test-ocrd-calamari'
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CHECKPOINT_DIR = os.path.join(os.getcwd(), 'gt4histocr-calamari1')
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CHECKPOINT = os.path.join(CHECKPOINT_DIR, '*.ckpt.json')
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# Because XML namespace versions are so much fun, we not only use one, we use TWO!
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NSMAP = { "pc": "http://schema.primaresearch.org/PAGE/gts/pagecontent/2019-07-15" }
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@ -67,22 +66,6 @@ def workspace():
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def test_recognize(workspace):
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CalamariRecognize(
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workspace,
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input_file_grp="OCR-D-GT-SEG-LINE",
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output_file_grp="OCR-D-OCR-CALAMARI",
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parameter={
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"checkpoint": CHECKPOINT,
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}
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).process()
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workspace.save_mets()
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page1 = os.path.join(workspace.directory, "OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_0001.xml")
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assert os.path.exists(page1)
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with open(page1, "r", encoding="utf-8") as f:
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assert "verſchuldeten" in f.read()
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def test_recognize_with_checkpoint_dir(workspace):
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CalamariRecognize(
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workspace,
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input_file_grp="OCR-D-GT-SEG-LINE",
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@ -105,7 +88,7 @@ def test_recognize_should_warn_if_given_rgb_image_and_single_channel_model(works
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workspace,
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input_file_grp="OCR-D-GT-SEG-LINE",
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output_file_grp="OCR-D-OCR-CALAMARI-BROKEN",
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parameter={'checkpoint': CHECKPOINT}
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parameter={'checkpoint_dir': CHECKPOINT_DIR}
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).process()
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interesting_log_messages = [t[2] for t in caplog.record_tuples if "Using raw image" in t[2]]
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@ -118,7 +101,7 @@ def test_word_segmentation(workspace):
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input_file_grp="OCR-D-GT-SEG-LINE",
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output_file_grp="OCR-D-OCR-CALAMARI",
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parameter={
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"checkpoint": CHECKPOINT,
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"checkpoint_dir": CHECKPOINT_DIR,
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"textequiv_level": "word", # Note that we're going down to word level here
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}
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).process()
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@ -150,7 +133,7 @@ def test_glyphs(workspace):
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input_file_grp="OCR-D-GT-SEG-LINE",
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output_file_grp="OCR-D-OCR-CALAMARI",
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parameter={
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"checkpoint": CHECKPOINT,
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"checkpoint_dir": CHECKPOINT_DIR,
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"textequiv_level": "glyph", # Note that we're going down to glyph level here
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}
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).process()
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