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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 requests
import paddlehub as hub
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
class TestHubModule(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
img_url = 'https://ai-studio-static-online.cdn.bcebos.com/7799a8ccc5f6471b9d56fb6eff94f82a08b70ca2c7594d3f99877e366c0a2619'
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="face_landmark_localization")
@classmethod
def tearDownClass(cls) -> None:
shutil.rmtree('tests')
shutil.rmtree('inference')
shutil.rmtree('face_landmark_output')
def test_keypoint_detection1(self):
results = self.module.keypoint_detection(
paths=['tests/test.jpg'],
use_gpu=False,
visualization=False
)
kps = results[0]['data'][0]
self.assertIsInstance(kps, list)
def test_keypoint_detection2(self):
results = self.module.keypoint_detection(
images=[cv2.imread('tests/test.jpg')],
use_gpu=False,
visualization=False
)
kps = results[0]['data'][0]
self.assertIsInstance(kps, list)
def test_keypoint_detection3(self):
results = self.module.keypoint_detection(
images=[cv2.imread('tests/test.jpg')],
use_gpu=False,
visualization=True
)
kps = results[0]['data'][0]
self.assertIsInstance(kps, list)
def test_keypoint_detection4(self):
results = self.module.keypoint_detection(
images=[cv2.imread('tests/test.jpg')],
use_gpu=True,
visualization=False
)
kps = results[0]['data'][0]
self.assertIsInstance(kps, list)
def test_keypoint_detection5(self):
self.assertRaises(
AssertionError,
self.module.keypoint_detection,
paths=['no.jpg']
)
def test_keypoint_detection6(self):
self.assertRaises(
AttributeError,
self.module.keypoint_detection,
images=['test.jpg']
)
def test_save_inference_model(self):
self.module.save_inference_model('./inference/model')
self.assertTrue(os.path.exists('./inference/model/model.pdmodel'))
self.assertTrue(os.path.exists('./inference/model/model.pdiparams'))
self.assertTrue(os.path.exists('./inference/model/face_detector.pdmodel'))
self.assertTrue(os.path.exists('./inference/model/face_detector.pdiparams'))
if __name__ == "__main__":
unittest.main()