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# Copyright (c) OpenMMLab. All rights reserved. | |
from unittest import TestCase | |
import numpy as np | |
import torch | |
from mmengine.structures import LabelData | |
from mmocr.structures import TextRecogDataSample | |
class TestTextRecogDataSample(TestCase): | |
def test_init(self): | |
meta_info = dict( | |
img_size=[256, 256], | |
scale_factor=np.array([1.5, 1.5]), | |
img_shape=torch.rand(4)) | |
recog_data_sample = TextRecogDataSample(metainfo=meta_info) | |
assert 'img_size' in recog_data_sample | |
self.assertListEqual(recog_data_sample.img_size, [256, 256]) | |
self.assertListEqual(recog_data_sample.get('img_size'), [256, 256]) | |
def test_setter(self): | |
recog_data_sample = TextRecogDataSample() | |
# test gt_text | |
gt_label_data = dict(item='mmocr') | |
gt_text = LabelData(**gt_label_data) | |
recog_data_sample.gt_text = gt_text | |
assert 'gt_text' in recog_data_sample | |
self.assertEqual(recog_data_sample.gt_text.item, gt_text.item) | |
# test pred_text | |
pred_label_data = dict(item='mmocr') | |
pred_text = LabelData(**pred_label_data) | |
recog_data_sample.pred_text = pred_text | |
assert 'pred_text' in recog_data_sample | |
self.assertEqual(recog_data_sample.pred_text.item, pred_text.item) | |
# test type error | |
with self.assertRaises(AssertionError): | |
recog_data_sample.gt_text = torch.rand(2, 4) | |
with self.assertRaises(AssertionError): | |
recog_data_sample.pred_text = torch.rand(2, 4) | |
def test_deleter(self): | |
recog_data_sample = TextRecogDataSample() | |
# test gt_text | |
gt_label_data = dict(item='mmocr') | |
gt_text = LabelData(**gt_label_data) | |
recog_data_sample.gt_text = gt_text | |
assert 'gt_text' in recog_data_sample | |
del recog_data_sample.gt_text | |
assert 'gt_text' not in recog_data_sample | |
recog_data_sample.pred_text = gt_text | |
assert 'pred_text' in recog_data_sample | |
del recog_data_sample.pred_text | |
assert 'pred_text' not in recog_data_sample | |