>>> encoders = get_processor('gst_mp3_enc')('sweep.mp3') | get_processor('gst_flac_enc')('sweep.flac')
>>> (decoder | levels | encoders).run()
>>> print levels.results
- {'...': GlobalValueResult(id_metadata=IdMetadata(id='level.max', name='Level Max', unit='dBFS', description='', date='...', version='...', author='TimeSide', proc_uuid='...', res_uuid='...'), data_object=DataObject(value=array([-6.021])), audio_metadata=AudioMetadata(uri='file://...sweep.wav', start=0.0, duration=8.0, is_segment=False, sha1='...', channels=2, channelsManagement=''), parameters={}), '...': GlobalValueResult(id_metadata=IdMetadata(id='level.rms', name='Level RMS', unit='dBFS', description='', date='...', version='...', author='TimeSide', proc_uuid='...', res_uuid='...'), data_object=GlobalValueObject(value=array([-9.856]), y_value=array([], dtype=float64)), audio_metadata=AudioMetadata(uri='file://...sweep.wav', start=0.0, duration=8.0, is_segment=False, sha1='...', channels=2, channelsManagement=''), parameters={})}
-
+ {'...': AnalyzerResult(id_metadata=IdMetadata(id='level.max', name='Level Max', unit='dBFS', description='', date='...', version='...', author='TimeSide', proc_uuid='...', res_uuid='...'), data_object=GlobalValueObject(value=array([-6.021]), y_value=array([], dtype=float64)), audio_metadata=AudioMetadata(uri='.../sweep.wav', start=0.0, duration=8.0, is_segment=False, sha1='...', channels=2, channelsManagement=''), parameters={}), '...': AnalyzerResult(id_metadata=IdMetadata(id='level.rms', name='Level RMS', unit='dBFS', description='', date='...', version='...', author='TimeSide', proc_uuid='...', res_uuid='...'), data_object=GlobalValueObject(value=array([-9.856]), y_value=array([], dtype=float64)), audio_metadata=AudioMetadata(uri='.../sweep.wav', start=0.0, duration=8.0, is_segment=False, sha1='...', channels=2, channelsManagement=''), parameters={})}
>>> a = Analyzer()
>>> (d|a).run()
>>> a.new_result() #doctest: +ELLIPSIS
- FrameValueResult(id_metadata=IdMetadata(id='analyzer', name='Generic analyzer', unit='', description='', date='...', version='...', author='TimeSide', proc_uuid='...', res_uuid='...'), data_object=FrameValueObject(value=array([], dtype=float64), y_value=array([], dtype=float64), audio_metadata=AudioMetadata(uri='...', start=0.0, duration=8.0..., is_segment=False, sha1='...', channels=2, channelsManagement=''), frame_metadata=FrameMetadata(samplerate=44100, blocksize=8192, stepsize=8192), parameters={})
+ AnalyzerResult(id_metadata=IdMetadata(id='analyzer', name='Generic analyzer', unit='', description='', date='...', version='...', author='TimeSide', proc_uuid='...', res_uuid='...'), data_object=FrameValueObject(value=array([], dtype=float64), y_value=array([], dtype=float64), frame_metadata=FrameMetadata(samplerate=44100, blocksize=8192, stepsize=8192)), audio_metadata=AudioMetadata(uri='.../sweep.mp3', start=0.0, duration=8.0..., is_segment=False, sha1='...', channels=2, channelsManagement=''), parameters={})
>>> resContainer = timeside.analyzer.core.AnalyzerResultContainer()
'''
fg_image = parent_result._render_PIL((self.image_width,
self.image_height), self.dpi)
if self._background:
- bg_result = self.process_pipe.results[self._bg_id]
+ bg_result = pipe_result.get_result_by_id(self._bg_id)
bg_image = bg_result._render_PIL((self.image_width,
self.image_height), self.dpi)
# convert image to grayscale