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test.py
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import os
import shutil
import unittest
import cv2
import requests
import paddlehub as hub
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
class TestHubModule(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
img_url = 'https://unsplash.com/photos/KTzZVDjUsXw/download?ixid=MnwxMjA3fDB8MXxzZWFyY2h8MzM3fHx0ZXh0fGVufDB8fHx8MTY2MzUxMTExMQ&force=true&w=640'
if not os.path.exists('tests'):
os.makedirs('tests')
response = requests.get(img_url)
assert response.status_code == 200, 'Network Error.'
with open('tests/test.jpg', 'wb') as f:
f.write(response.content)
cls.module = hub.Module(name="chinese_ocr_db_crnn_server")
@classmethod
def tearDownClass(cls) -> None:
shutil.rmtree('tests')
shutil.rmtree('inference')
shutil.rmtree('ocr_result')
def test_recognize_text1(self):
results = self.module.recognize_text(
paths=['tests/test.jpg'],
use_gpu=False,
visualization=False,
)
self.assertEqual(results[0]['data'], [{
'text': 'GIVE.',
'confidence': 0.944110095500946,
'text_box_position': [[281, 159], [359, 159], [359, 202], [281, 202]]
}, {
'text': 'THANKS.',
'confidence': 0.9850907325744629,
'text_box_position': [[258, 199], [382, 199], [382, 240], [258, 240]]
}])
def test_recognize_text2(self):
results = self.module.recognize_text(
images=[cv2.imread('tests/test.jpg')],
use_gpu=False,
visualization=False,
)
self.assertEqual(results[0]['data'], [{
'text': 'GIVE.',
'confidence': 0.944110095500946,
'text_box_position': [[281, 159], [359, 159], [359, 202], [281, 202]]
}, {
'text': 'THANKS.',
'confidence': 0.9850907325744629,
'text_box_position': [[258, 199], [382, 199], [382, 240], [258, 240]]
}])
def test_recognize_text3(self):
results = self.module.recognize_text(
images=[cv2.imread('tests/test.jpg')],
use_gpu=True,
visualization=False,
)
self.assertEqual(results[0]['data'], [{
'text': 'GIVE.',
'confidence': 0.944110095500946,
'text_box_position': [[281, 159], [359, 159], [359, 202], [281, 202]]
}, {
'text': 'THANKS.',
'confidence': 0.9850907325744629,
'text_box_position': [[258, 199], [382, 199], [382, 240], [258, 240]]
}])
def test_recognize_text4(self):
results = self.module.recognize_text(
images=[cv2.imread('tests/test.jpg')],
use_gpu=False,
visualization=True,
)
self.assertEqual(results[0]['data'], [{
'text': 'GIVE.',
'confidence': 0.944110095500946,
'text_box_position': [[281, 159], [359, 159], [359, 202], [281, 202]]
}, {
'text': 'THANKS.',
'confidence': 0.9850907325744629,
'text_box_position': [[258, 199], [382, 199], [382, 240], [258, 240]]
}])
def test_recognize_text5(self):
self.assertRaises(AttributeError, self.module.recognize_text, images=['tests/test.jpg'])
def test_recognize_text6(self):
self.assertRaises(AssertionError, self.module.recognize_text, paths=['no.jpg'])
def test_save_inference_model(self):
self.module.save_inference_model('./inference/model')
self.assertTrue(os.path.exists('./inference/model/angle_classifier.pdmodel'))
self.assertTrue(os.path.exists('./inference/model/angle_classifier.pdiparams'))
self.assertTrue(os.path.exists('./inference/model/text_detector.pdmodel'))
self.assertTrue(os.path.exists('./inference/model/text_detector.pdiparams'))
self.assertTrue(os.path.exists('./inference/model/text_recognizer.pdmodel'))
self.assertTrue(os.path.exists('./inference/model/text_recognizer.pdiparams'))
if __name__ == "__main__":
unittest.main()