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# Copyright (c) OpenMMLab. All rights reserved. | |
import numpy as np | |
import pytest | |
from mmocr.datasets.pipelines.test_time_aug import MultiRotateAugOCR | |
def test_resize_ocr(): | |
input_img1 = np.ones((64, 256, 3), dtype=np.uint8) | |
input_img2 = np.ones((64, 32, 3), dtype=np.uint8) | |
rci = MultiRotateAugOCR(transforms=[], rotate_degrees=[0, 90, 270]) | |
# test invalid arguments | |
with pytest.raises(AssertionError): | |
MultiRotateAugOCR(transforms=[], rotate_degrees=[45]) | |
with pytest.raises(AssertionError): | |
MultiRotateAugOCR(transforms=[], rotate_degrees=[20.5]) | |
# test call with input_img1 | |
results = {'img_shape': input_img1.shape, 'img': input_img1} | |
results = rci(results) | |
assert np.allclose([64, 256, 3], results['img_shape']) | |
assert len(results['img']) == 1 | |
assert len(results['img_shape']) == 1 | |
assert np.allclose([64, 256, 3], results['img_shape'][0]) | |
# test call with input_img2 | |
results = {'img_shape': input_img2.shape, 'img': input_img2} | |
results = rci(results) | |
assert np.allclose([64, 32, 3], results['img_shape']) | |
assert len(results['img']) == 3 | |
assert len(results['img_shape']) == 3 | |
assert np.allclose([64, 32, 3], results['img_shape'][0]) | |