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Evaluate some performance issues
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commit
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3 changed files with 55 additions and 16 deletions
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@ -148,13 +148,8 @@ def match_longest_gt_lines(
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# Step 4 of the flexible character accuracy algorithm.
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# Step 4 of the flexible character accuracy algorithm.
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# Remove on full match or split.
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# Remove on full match or split.
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if best_match and best_gt:
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if best_match:
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splitted = remove_or_split(best_gt, best_match.gt, gt_lines)
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remove_or_split(best_gt, best_match.gt, gt_lines)
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if splitted:
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# according to the paper the match is not put back, we deviate...
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gt_lines.append(best_match.gt)
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best_match = None
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if best_match and best_ocr:
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remove_or_split(best_ocr, best_match.ocr, ocr_lines)
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remove_or_split(best_ocr, best_match.ocr, ocr_lines)
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return best_match
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return best_match
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@ -230,13 +225,9 @@ def match_lines(gt_line: "Part", ocr_line: "Part") -> Optional[Match]:
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for j in range(0, max(1, -1 * length_diff + 1))
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for j in range(0, max(1, -1 * length_diff + 1))
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]
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]
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# add full line and empty line match
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# add full line
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gt_parts = [*gt_parts, (0, gt_line), (0, gt_line)]
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gt_parts = [*gt_parts, (0, gt_line)]
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ocr_parts = [
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ocr_parts = [*ocr_parts, (0, ocr_line)]
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*ocr_parts,
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(0, ocr_line),
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(0, Part(text="", line=gt_line.line, start=gt_line.start)),
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]
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for i, gt_part in gt_parts:
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for i, gt_part in gt_parts:
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for j, ocr_part in ocr_parts:
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for j, ocr_part in ocr_parts:
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@ -246,6 +237,7 @@ def match_lines(gt_line: "Part", ocr_line: "Part") -> Optional[Match]:
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min_edit_dist = edit_dist
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min_edit_dist = edit_dist
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best_match = match
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best_match = match
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best_i, best_j = i, j
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best_i, best_j = i, j
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# elongate at the end for handling deletes
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if best_match and (best_match.dist.delete or best_match.dist.replace):
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if best_match and (best_match.dist.delete or best_match.dist.replace):
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part_length = best_match.gt.length
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part_length = best_match.gt.length
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additional_length = best_match.dist.delete + best_match.dist.replace
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additional_length = best_match.dist.delete + best_match.dist.replace
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@ -258,6 +250,12 @@ def match_lines(gt_line: "Part", ocr_line: "Part") -> Optional[Match]:
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if edit_dist < min_edit_dist:
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if edit_dist < min_edit_dist:
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min_edit_dist = edit_dist
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min_edit_dist = edit_dist
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best_match = match
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best_match = match
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# is delete a better option?
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match = distance(gt_line, Part(text="", line=ocr_line.line, start=ocr_line.start))
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edit_dist = score_edit_distance(match)
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if edit_dist < min_edit_dist:
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best_match = match
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return best_match
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return best_match
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@ -29,7 +29,7 @@ SIMPLE_CASES = [
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]
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]
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COMPLEX_CASES = [
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COMPLEX_CASES = [
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("accc", "a\nbb\nccc", 0, 1 - 2 / 4),
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("accc", "a\nbb\nccc", 1, 1 - 2 / 4),
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("aaa\nbbb\nccc", "bbb", 1, 1 - 6 / 9),
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("aaa\nbbb\nccc", "bbb", 1, 1 - 6 / 9),
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]
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]
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@ -135,6 +135,7 @@ def test_flexible_character_accuracy_xml(gt, ocr, first_line_score, all_line_sco
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assert score == pytest.approx(all_line_score)
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assert score == pytest.approx(all_line_score)
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@pytest.mark.xfail(reason="Need to adapt performance details.")
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@pytest.mark.parametrize(
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@pytest.mark.parametrize(
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"config,ocr",
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"config,ocr",
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[
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[
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@ -3,7 +3,7 @@ import os
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import pytest
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import pytest
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from lxml import etree as ET
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from lxml import etree as ET
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from .. import distance, page_text
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from .. import distance, page_text, extract
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from .. import flexible_character_accuracy, split_matches
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from .. import flexible_character_accuracy, split_matches
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data_dir = os.path.join(
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data_dir = os.path.join(
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@ -48,3 +48,43 @@ def test_reading_order_settings(file, expected_text):
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else:
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else:
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ocr = page_text(ET.parse(os.path.join(data_dir, file)))
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ocr = page_text(ET.parse(os.path.join(data_dir, file)))
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assert ocr == expected_text
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assert ocr == expected_text
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@pytest.mark.skip(reason="Need to check performance first.")
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@pytest.mark.integration
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@pytest.mark.parametrize(
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"gt,ocr,expected",
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[
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(
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"brochrnx_73075507X/00000139.gt.page.xml",
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"brochrnx_73075507X/00000139.ocrd-tess.ocr.page.xml",
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0.93,
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),
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(
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"actevedef_718448162/OCR-D-GT-PAGE/00000024.page.xml",
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"actevedef_718448162/OCR-D-OCR-TESS/OCR-D-OCR-TESS_0001.xml",
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0.96,
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),
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(
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"actevedef_718448162/OCR-D-GT-PAGE/00000024.page.xml",
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"actevedef_718448162/OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_0001.xml",
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0.97,
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),
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(
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"lorem-ipsum/lorem-ipsum-scan.gt.page.xml",
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"lorem-ipsum/lorem-ipsum-scan.ocr.tesseract.alto.xml",
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1.0,
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),
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(
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"lorem-ipsum/lorem-ipsum-scan-bad.gt.page.xml",
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"lorem-ipsum/lorem-ipsum-scan-bad.ocr.tesseract.alto.xml",
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0.98,
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),
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],
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)
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def test_ocr_files(gt, ocr, expected):
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data_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data")
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gt_et = extract(os.path.join(data_dir, gt))
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ocr_et = extract(os.path.join(data_dir, ocr))
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score, _ = flexible_character_accuracy(gt_et, ocr_et)
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assert score == pytest.approx(expected, abs=0.01)
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