import os import shutil import unittest import cv2 import requests import numpy as np 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=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="falsr_c") @classmethod def tearDownClass(cls) -> None: shutil.rmtree('tests') shutil.rmtree('inference') shutil.rmtree('falsr_c_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()