Python DmosModel Examples

Example #1

File: subjective_model_test.py Project: Netflix/vmaf

 def test_dmos_subjective_model_dscore_mode_same(self):
     subjective_model = DmosModel.from_dataset_file(self.dataset_filepath)
     result = subjective_model.run_modeling(normalize_final=True)
     scores = result['quality_scores']
     self.assertAlmostEquals(scores[0], 1.0440613892053001, places=4)
     self.assertAlmostEquals(scores[10], -1.3452648137895296, places=4)
     self.assertAlmostEquals(np.mean(scores), 0.0, places=4)

Example #2

File: subjective_model_test.py Project: qiushenglu/vmaf

 def test_dmos_subjective_model_dscore_mode_same(self):
     subjective_model = DmosModel.from_dataset_file(self.dataset_filepath)
     result = subjective_model.run_modeling(normalize_final=True)
     scores = result['quality_scores']
     self.assertAlmostEquals(scores[0], 1.0440613892053001, places=4)
     self.assertAlmostEquals(scores[10], -1.3452648137895296, places=4)
     self.assertAlmostEquals(np.mean(scores), 0.0, places=4)

Example #3

File: subjective_model_test.py Project: Netflix/vmaf

 def test_dmos_subjective_model(self):
     subjective_model = DmosModel.from_dataset_file(self.dataset_filepath)
     result = subjective_model.run_modeling()
     scores = result['quality_scores']
     self.assertAlmostEquals(scores[0], 5.0, places=4)
     self.assertAlmostEquals(scores[10], 2.1923076923076921, places=4)
     self.assertAlmostEquals(np.mean(scores), 3.7731256085686473, places=4)

Example #4

File: subjective_model_test.py Project: qiushenglu/vmaf

 def test_dmos_subjective_model(self):
     subjective_model = DmosModel.from_dataset_file(self.dataset_filepath)
     result = subjective_model.run_modeling()
     scores = result['quality_scores']
     self.assertAlmostEquals(scores[0], 5.0, places=4)
     self.assertAlmostEquals(scores[10], 2.1923076923076921, places=4)
     self.assertAlmostEquals(np.mean(scores), 3.7731256085686473, places=4)