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@@ -48,3 +48,45 @@ class TestVideoActivityFEFunctional(FEFunctionalTest): |
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self.assertTrue(testfe.features) |
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self.assertTrue(testfe.features) |
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# check if the feature interval is within the expected range |
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# check if the feature interval is within the expected range |
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self.assertTrue(testfe.features[0].interval.start >= START_TIME) |
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self.assertTrue(testfe.features[0].interval.start >= START_TIME) |
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class TestLoudAudioFEFunctional(FEFunctionalTest): |
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"""TestAudioLoudnessFEFunctional -- functional tests for audio loudness feature extractor |
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""" |
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def test_audio_loudness_functional_one_feature(self): |
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"""Test audio loudness feature extractor |
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use: |
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- sample_videos/sample-manual-audio.mp4 :: audio at 15-20s -- pass if audio detected anywhere in this range |
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-- peak at 16s - 18s, verify this is highest scoring |
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""" |
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SAMPLE_VIDEO = f"{self.SAMPLE_DIR}/sample-manual-audio.mp4" |
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START_TIME = 15 |
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END_TIME = 20 |
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PEAK_START = 16 |
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PEAK_END = 18 |
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# create mock source with the video |
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source = mocks.MockSource(path=SAMPLE_VIDEO) |
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# create the feature extractor |
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testfe = extractors.LoudAudioFeatureExtractor(input_files=[source]) |
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testfe.setup() |
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testfe.run() |
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testfe.teardown() |
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# check if the feature was extracted: |
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self.assertTrue(testfe.features) |
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# check if the feature interval is within the expected range |
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self.assertTrue(testfe.features[0].interval.start >= START_TIME) |
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# get sorted list of features based on feature.score |
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sorted_features = sorted(testfe.features, key=lambda x: x.score, reverse=True) |
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# check if the highest scoring feature is within the peak range |
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self.assertTrue(sorted_features[0].interval.start >= PEAK_START) |
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if __name__ == "__main__": |
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unittest.main() |