| | |
| | 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]) |
| |
|
| | |
| | with pytest.raises(AssertionError): |
| | MultiRotateAugOCR(transforms=[], rotate_degrees=[45]) |
| | with pytest.raises(AssertionError): |
| | MultiRotateAugOCR(transforms=[], rotate_degrees=[20.5]) |
| |
|
| | |
| | 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]) |
| |
|
| | |
| | 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]) |
| |
|