From 7e8e54e84c63171e748bbf09516fd517e6821ace Mon Sep 17 00:00:00 2001 From: Gustaf Rydholm Date: Sat, 20 Mar 2021 18:09:06 +0100 Subject: Inital commit for refactoring to lightning --- text_recognizer/tests/__init__.py | 1 + text_recognizer/tests/support/__init__.py | 2 + .../support/create_emnist_lines_support_files.py | 51 +++++++++++++++++++++ .../tests/support/create_emnist_support_files.py | 30 ++++++++++++ .../support/create_iam_lines_support_files.py | 50 ++++++++++++++++++++ .../tests/support/emnist_lines/Knox Ky.png | Bin 0 -> 2301 bytes .../emnist_lines/ancillary beliefs and.png | Bin 0 -> 5424 bytes .../tests/support/emnist_lines/they.png | Bin 0 -> 1391 bytes .../He rose from his breakfast-nook bench.png | Bin 0 -> 5170 bytes .../and came into the livingroom, where.png | Bin 0 -> 3617 bytes .../his entrance. He came, almost falling.png | Bin 0 -> 3923 bytes .../tests/support/iam_paragraphs/a01-000u.jpg | Bin 0 -> 14890 bytes text_recognizer/tests/test_character_predictor.py | 31 +++++++++++++ text_recognizer/tests/test_line_predictor.py | 35 ++++++++++++++ .../tests/test_paragraph_text_recognizer.py | 37 +++++++++++++++ 15 files changed, 237 insertions(+) create mode 100644 text_recognizer/tests/__init__.py create mode 100644 text_recognizer/tests/support/__init__.py create mode 100644 text_recognizer/tests/support/create_emnist_lines_support_files.py create mode 100644 text_recognizer/tests/support/create_emnist_support_files.py create mode 100644 text_recognizer/tests/support/create_iam_lines_support_files.py create mode 100644 text_recognizer/tests/support/emnist_lines/Knox Ky.png create mode 100644 text_recognizer/tests/support/emnist_lines/ancillary beliefs and.png create mode 100644 text_recognizer/tests/support/emnist_lines/they.png create mode 100644 text_recognizer/tests/support/iam_lines/He rose from his breakfast-nook bench.png create mode 100644 text_recognizer/tests/support/iam_lines/and came into the livingroom, where.png create mode 100644 text_recognizer/tests/support/iam_lines/his entrance. He came, almost falling.png create mode 100644 text_recognizer/tests/support/iam_paragraphs/a01-000u.jpg create mode 100644 text_recognizer/tests/test_character_predictor.py create mode 100644 text_recognizer/tests/test_line_predictor.py create mode 100644 text_recognizer/tests/test_paragraph_text_recognizer.py (limited to 'text_recognizer/tests') diff --git a/text_recognizer/tests/__init__.py b/text_recognizer/tests/__init__.py new file mode 100644 index 0000000..18ff212 --- /dev/null +++ b/text_recognizer/tests/__init__.py @@ -0,0 +1 @@ +"""Test modules for the text text recognizer.""" diff --git a/text_recognizer/tests/support/__init__.py b/text_recognizer/tests/support/__init__.py new file mode 100644 index 0000000..a265ede --- /dev/null +++ b/text_recognizer/tests/support/__init__.py @@ -0,0 +1,2 @@ +"""Support file modules.""" +from .create_emnist_support_files import create_emnist_support_files diff --git a/text_recognizer/tests/support/create_emnist_lines_support_files.py b/text_recognizer/tests/support/create_emnist_lines_support_files.py new file mode 100644 index 0000000..9abe143 --- /dev/null +++ b/text_recognizer/tests/support/create_emnist_lines_support_files.py @@ -0,0 +1,51 @@ +"""Module for creating EMNIST Lines test support files.""" +# flake8: noqa: S106 + +from pathlib import Path +import shutil + +import numpy as np + +from text_recognizer.datasets import EmnistLinesDataset +import text_recognizer.util as util + + +SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "emnist_lines" + + +def create_emnist_lines_support_files() -> None: + """Create EMNIST Lines test images.""" + shutil.rmtree(SUPPORT_DIRNAME, ignore_errors=True) + SUPPORT_DIRNAME.mkdir() + + # TODO: maybe have to add args to dataset. + dataset = EmnistLinesDataset( + init_token="", + pad_token="_", + eos_token="", + transform=[{"type": "ToTensor", "args": {}}], + target_transform=[ + { + "type": "AddTokens", + "args": {"init_token": "", "pad_token": "_", "eos_token": ""}, + } + ], + ) # nosec: S106 + dataset.load_or_generate_data() + + for index in [5, 7, 9]: + image, target = dataset[index] + if len(image.shape) == 3: + image = image.squeeze(0) + print(image.sum(), image.dtype) + + label = "".join(dataset.mapper(label) for label in target[1:]).strip( + dataset.mapper.pad_token + ) + print(label) + image = image.numpy() + util.write_image(image, str(SUPPORT_DIRNAME / f"{label}.png")) + + +if __name__ == "__main__": + create_emnist_lines_support_files() diff --git a/text_recognizer/tests/support/create_emnist_support_files.py b/text_recognizer/tests/support/create_emnist_support_files.py new file mode 100644 index 0000000..f9ff030 --- /dev/null +++ b/text_recognizer/tests/support/create_emnist_support_files.py @@ -0,0 +1,30 @@ +"""Module for creating EMNIST test support files.""" +from pathlib import Path +import shutil + +from text_recognizer.datasets import EmnistDataset +from text_recognizer.util import write_image + +SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "emnist" + + +def create_emnist_support_files() -> None: + """Create support images for test of CharacterPredictor class.""" + shutil.rmtree(SUPPORT_DIRNAME, ignore_errors=True) + SUPPORT_DIRNAME.mkdir() + + dataset = EmnistDataset(train=False) + dataset.load_or_generate_data() + + for index in [5, 7, 9]: + image, label = dataset[index] + if len(image.shape) == 3: + image = image.squeeze(0) + image = image.numpy() + label = dataset.mapper(int(label)) + print(index, label) + write_image(image, str(SUPPORT_DIRNAME / f"{label}.png")) + + +if __name__ == "__main__": + create_emnist_support_files() diff --git a/text_recognizer/tests/support/create_iam_lines_support_files.py b/text_recognizer/tests/support/create_iam_lines_support_files.py new file mode 100644 index 0000000..50f9e3d --- /dev/null +++ b/text_recognizer/tests/support/create_iam_lines_support_files.py @@ -0,0 +1,50 @@ +"""Module for creating IAM Lines test support files.""" +# flake8: noqa +from pathlib import Path +import shutil + +import numpy as np + +from text_recognizer.datasets import IamLinesDataset +import text_recognizer.util as util + + +SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "iam_lines" + + +def create_emnist_lines_support_files() -> None: + """Create IAM Lines test images.""" + shutil.rmtree(SUPPORT_DIRNAME, ignore_errors=True) + SUPPORT_DIRNAME.mkdir() + + # TODO: maybe have to add args to dataset. + dataset = IamLinesDataset( + init_token="", + pad_token="_", + eos_token="", + transform=[{"type": "ToTensor", "args": {}}], + target_transform=[ + { + "type": "AddTokens", + "args": {"init_token": "", "pad_token": "_", "eos_token": ""}, + } + ], + ) + dataset.load_or_generate_data() + + for index in [0, 1, 3]: + image, target = dataset[index] + if len(image.shape) == 3: + image = image.squeeze(0) + print(image.sum(), image.dtype) + + label = "".join(dataset.mapper(label) for label in target[1:]).strip( + dataset.mapper.pad_token + ) + print(label) + image = image.numpy() + util.write_image(image, str(SUPPORT_DIRNAME / f"{label}.png")) + + +if __name__ == "__main__": + create_emnist_lines_support_files() diff --git a/text_recognizer/tests/support/emnist_lines/Knox Ky.png b/text_recognizer/tests/support/emnist_lines/Knox Ky.png new file mode 100644 index 0000000..b7d0618 Binary files /dev/null and b/text_recognizer/tests/support/emnist_lines/Knox Ky.png differ diff --git a/text_recognizer/tests/support/emnist_lines/ancillary beliefs and.png b/text_recognizer/tests/support/emnist_lines/ancillary beliefs and.png new file mode 100644 index 0000000..14a8cf3 Binary files /dev/null and b/text_recognizer/tests/support/emnist_lines/ancillary beliefs and.png differ diff --git a/text_recognizer/tests/support/emnist_lines/they.png b/text_recognizer/tests/support/emnist_lines/they.png new file mode 100644 index 0000000..7f05951 Binary files /dev/null and b/text_recognizer/tests/support/emnist_lines/they.png differ diff --git a/text_recognizer/tests/support/iam_lines/He rose from his breakfast-nook bench.png b/text_recognizer/tests/support/iam_lines/He rose from his breakfast-nook bench.png new file mode 100644 index 0000000..6eeb642 Binary files /dev/null and b/text_recognizer/tests/support/iam_lines/He rose from his breakfast-nook bench.png differ diff --git a/text_recognizer/tests/support/iam_lines/and came into the livingroom, where.png b/text_recognizer/tests/support/iam_lines/and came into the livingroom, where.png new file mode 100644 index 0000000..4974cf8 Binary files /dev/null and b/text_recognizer/tests/support/iam_lines/and came into the livingroom, where.png differ diff --git a/text_recognizer/tests/support/iam_lines/his entrance. He came, almost falling.png b/text_recognizer/tests/support/iam_lines/his entrance. He came, almost falling.png new file mode 100644 index 0000000..a731245 Binary files /dev/null and b/text_recognizer/tests/support/iam_lines/his entrance. He came, almost falling.png differ diff --git a/text_recognizer/tests/support/iam_paragraphs/a01-000u.jpg b/text_recognizer/tests/support/iam_paragraphs/a01-000u.jpg new file mode 100644 index 0000000..d9753b6 Binary files /dev/null and b/text_recognizer/tests/support/iam_paragraphs/a01-000u.jpg differ diff --git a/text_recognizer/tests/test_character_predictor.py b/text_recognizer/tests/test_character_predictor.py new file mode 100644 index 0000000..01bda78 --- /dev/null +++ b/text_recognizer/tests/test_character_predictor.py @@ -0,0 +1,31 @@ +"""Test for CharacterPredictor class.""" +import importlib +import os +from pathlib import Path +import unittest + +from loguru import logger + +from text_recognizer.character_predictor import CharacterPredictor +from text_recognizer.networks import MLP + +SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "support" / "emnist" + +os.environ["CUDA_VISIBLE_DEVICES"] = "" + + +class TestCharacterPredictor(unittest.TestCase): + """Tests for the CharacterPredictor class.""" + + def test_filename(self) -> None: + """Test that CharacterPredictor correctly predicts on a single image, for serveral test images.""" + network_fn_ = MLP + predictor = CharacterPredictor(network_fn=network_fn_) + + for filename in SUPPORT_DIRNAME.glob("*.png"): + pred, conf = predictor.predict(str(filename)) + logger.info( + f"Prediction: {pred} at confidence: {conf} for image with character {filename.stem}" + ) + self.assertEqual(pred, filename.stem) + self.assertGreater(conf, 0.7) diff --git a/text_recognizer/tests/test_line_predictor.py b/text_recognizer/tests/test_line_predictor.py new file mode 100644 index 0000000..eede4d4 --- /dev/null +++ b/text_recognizer/tests/test_line_predictor.py @@ -0,0 +1,35 @@ +"""Tests for LinePredictor.""" +import os +from pathlib import Path +import unittest + + +import editdistance +import numpy as np + +from text_recognizer.datasets import IamLinesDataset +from text_recognizer.line_predictor import LinePredictor +import text_recognizer.util as util + +SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "support" + +os.environ["CUDA_VISIBLE_DEVICES"] = "" + + +class TestEmnistLinePredictor(unittest.TestCase): + """Test LinePredictor class on the EmnistLines dataset.""" + + def test_filename(self) -> None: + """Test that LinePredictor correctly predicts on single images, for several test images.""" + predictor = LinePredictor( + dataset="EmnistLineDataset", network_fn="CNNTransformer" + ) + + for filename in (SUPPORT_DIRNAME / "emnist_lines").glob("*.png"): + pred, conf = predictor.predict(str(filename)) + true = str(filename.stem) + edit_distance = editdistance.eval(pred, true) / len(pred) + print( + f'Pred: "{pred}" | Confidence: {conf} | True: {true} | Edit distance: {edit_distance}' + ) + self.assertLess(edit_distance, 0.2) diff --git a/text_recognizer/tests/test_paragraph_text_recognizer.py b/text_recognizer/tests/test_paragraph_text_recognizer.py new file mode 100644 index 0000000..3e280b9 --- /dev/null +++ b/text_recognizer/tests/test_paragraph_text_recognizer.py @@ -0,0 +1,37 @@ +"""Test for ParagraphTextRecognizer class.""" +import os +from pathlib import Path +import unittest + +from text_recognizer.paragraph_text_recognizer import ParagraphTextRecognizor +import text_recognizer.util as util + + +SUPPORT_DIRNAME = Path(__file__).parents[0].resolve() / "support" / "iam_paragraph" + +# Prevent using GPU. +os.environ["CUDA_VISIBLE_DEVICES"] = "" + + +class TestParagraphTextRecognizor(unittest.TestCase): + """Test that it can take non-square images of max dimension larger than 256px.""" + + def test_filename(self) -> None: + """Test model on support image.""" + line_predictor_args = { + "dataset": "EmnistLineDataset", + "network_fn": "CNNTransformer", + } + line_detector_args = {"dataset": "EmnistLineDataset", "network_fn": "UNet"} + model = ParagraphTextRecognizor( + line_predictor_args=line_predictor_args, + line_detector_args=line_detector_args, + ) + num_text_lines_by_name = {"a01-000u-cropped": 7} + for filename in (SUPPORT_DIRNAME).glob("*.jpg"): + full_image = util.read_image(str(filename), grayscale=True) + predicted_text, line_region_crops = model.predict(full_image) + print(predicted_text) + self.assertTrue( + len(line_region_crops), num_text_lines_by_name[filename.stem] + ) -- cgit v1.2.3-70-g09d2