|
- # Copyright (c) Alibaba, Inc. and its affiliates.
- import os.path as osp
- import unittest
-
- import cv2
- import numpy as np
-
- from modelscope.msdatasets import MsDataset
- from modelscope.outputs import OutputKeys
- from modelscope.pipelines import pipeline
- from modelscope.utils.constant import Tasks
- from modelscope.utils.cv.image_utils import draw_facial_expression_result
- from modelscope.utils.test_utils import test_level
-
-
- class FacialExpressionRecognitionTest(unittest.TestCase):
-
- def setUp(self) -> None:
- self.model_id = 'damo/cv_vgg19_facial-expression-recognition_fer'
-
- def show_result(self, img_path, facial_expression_result):
- img = draw_facial_expression_result(img_path, facial_expression_result)
- cv2.imwrite('result.png', img)
- print(f'output written to {osp.abspath("result.png")}')
-
- @unittest.skip('skip since the model is set to private for now')
- def test_run_modelhub(self):
- fer = pipeline(
- Tasks.facial_expression_recognition, model=self.model_id)
- img_path = 'data/test/images/facial_expression_recognition.jpg'
- result = fer(img_path)
- self.show_result(img_path, result)
-
-
- if __name__ == '__main__':
- unittest.main()
|