22 lines
1005 B
Python
22 lines
1005 B
Python
import numpy as np
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import pytest
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from image_prediction.estimator.preprocessor.utils import images_to_batch_tensor
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from image_prediction.extraction import extract_images_from_pdf
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@pytest.mark.parametrize("extractor_type", ["mock"])
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@pytest.mark.parametrize("batch_size", [1, 2, 4])
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def test_image_extractor_mock(image_extractor, images):
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images_extracted, metadata = map(list, zip(*image_extractor(images)))
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assert images_extracted == images
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@pytest.mark.parametrize("extractor_type", ["parsable_pdf"])
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@pytest.mark.parametrize("batch_size", [128])
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@pytest.mark.parametrize("input_size", [{"depth": 3, "width": 100, "height": 90}], indirect=["input_size"])
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def test_parsable_pdf_image_extractor(image_extractor, pdf, images, metadata, input_size):
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images_extracted, metadata_extracted = map(list, extract_images_from_pdf(pdf, image_extractor))
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assert np.allclose(images_to_batch_tensor(images_extracted), images_to_batch_tensor(images))
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assert list(metadata_extracted) == metadata
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