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test: add TestLoudAudioFEFunctional

Functional tests for LoudAudioFeatureExtractor

Currently uses one manually-generated video with blank audio except between
15-20s where 1-2 sine tones are present
main
Rob Hallam il y a 2 mois
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révision
192c952c2d
1 fichiers modifiés avec 42 ajouts et 0 suppressions
  1. +42
    -0
      test/test_feature_extractors_functional.py

+ 42
- 0
test/test_feature_extractors_functional.py Voir le fichier

@@ -48,3 +48,45 @@ class TestVideoActivityFEFunctional(FEFunctionalTest):
self.assertTrue(testfe.features)
# check if the feature interval is within the expected range
self.assertTrue(testfe.features[0].interval.start >= START_TIME)


class TestLoudAudioFEFunctional(FEFunctionalTest):
"""TestAudioLoudnessFEFunctional -- functional tests for audio loudness feature extractor
"""

def test_audio_loudness_functional_one_feature(self):
"""Test audio loudness feature extractor

use:
- sample_videos/sample-manual-audio.mp4 :: audio at 15-20s -- pass if audio detected anywhere in this range
-- peak at 16s - 18s, verify this is highest scoring
"""
SAMPLE_VIDEO = f"{self.SAMPLE_DIR}/sample-manual-audio.mp4"

START_TIME = 15
END_TIME = 20
PEAK_START = 16
PEAK_END = 18
# create mock source with the video
source = mocks.MockSource(path=SAMPLE_VIDEO)

# create the feature extractor
testfe = extractors.LoudAudioFeatureExtractor(input_files=[source])
testfe.setup()
testfe.run()
testfe.teardown()

# check if the feature was extracted:
self.assertTrue(testfe.features)
# check if the feature interval is within the expected range
self.assertTrue(testfe.features[0].interval.start >= START_TIME)

# get sorted list of features based on feature.score
sorted_features = sorted(testfe.features, key=lambda x: x.score, reverse=True)
# check if the highest scoring feature is within the peak range
self.assertTrue(sorted_features[0].interval.start >= PEAK_START)



if __name__ == "__main__":
unittest.main()

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