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test.py
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test.py
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import os
import shutil
import unittest
import cv2
import numpy as np
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/1sLIu1XKQrY/download?ixid=MnwxMjA3fDB8MXxhbGx8MTJ8fHx8fHwyfHwxNjYyMzQxNDUx&force=true&w=120'
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="falsr_b")
@classmethod
def tearDownClass(cls) -> None:
shutil.rmtree('tests')
shutil.rmtree('inference')
shutil.rmtree('falsr_b_output')
def test_reconstruct1(self):
results = self.module.reconstruct(paths=['tests/test.jpg'], use_gpu=False, visualization=False)
self.assertIsInstance(results[0]['data'], np.ndarray)
def test_reconstruct2(self):
results = self.module.reconstruct(images=[cv2.imread('tests/test.jpg')], use_gpu=False, visualization=False)
self.assertIsInstance(results[0]['data'], np.ndarray)
def test_reconstruct3(self):
results = self.module.reconstruct(images=[cv2.imread('tests/test.jpg')], use_gpu=False, visualization=True)
self.assertIsInstance(results[0]['data'], np.ndarray)
def test_reconstruct4(self):
results = self.module.reconstruct(images=[cv2.imread('tests/test.jpg')], use_gpu=True, visualization=False)
self.assertIsInstance(results[0]['data'], np.ndarray)
def test_reconstruct5(self):
self.assertRaises(AssertionError, self.module.reconstruct, paths=['no.jpg'])
def test_reconstruct6(self):
self.assertRaises(AttributeError, self.module.reconstruct, images=['test.jpg'])
def test_save_inference_model(self):
self.module.save_inference_model('./inference/model')
self.assertTrue(os.path.exists('./inference/model.pdmodel'))
self.assertTrue(os.path.exists('./inference/model.pdiparams'))
if __name__ == "__main__":
unittest.main()