27 lines
800 B
Python
27 lines
800 B
Python
import numpy as np
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from PIL import Image
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from image_prediction.estimator.preprocessor.preprocessors.tensor_conversion import BasicPreprocessor
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from image_prediction.estimator.preprocessor.utils import image_to_normalized_tensor, images_to_batch_tensor
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def test_image_to_tensor(images):
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def inner(image):
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tensor = image_to_normalized_tensor(image)
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image_re = Image.fromarray(np.uint8(tensor * 255), mode="RGB")
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return image == image_re and tensor.ndim == 3
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assert all(map(inner, images))
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def test_images_to_batch_tensor(images):
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tensor = images_to_batch_tensor(images)
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assert isinstance(tensor, np.ndarray)
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assert tensor.ndim == 4
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def test_basic_preprocessor(images):
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tensor = BasicPreprocessor().preprocess(images)
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assert tensor.ndim == 4
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