Class OnsetDetectionFunction

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__

(inherited documentation)

Allocate internal resources and reset state, so that this processor is ready for a new run.

The channels, samplerate and/or blocksize and/or totalframes arguments may be required by processors which accept input. An error will occur if any of these arguments is passed to an output-only processor such as a decoder.

Decorators:

• @interfacedoc

Overrides: core.Processor.setup

Short alphanumeric, lower-case string which uniquely identify this processor, suitable for use as an HTTP/GET argument value, in filenames, etc...

Decorators:

• @interfacedoc

Overrides: core.Analyzer.id

Return the analyzer name, such as "Mean Level", "Max level", "Total length, etc..

Decorators:

• @interfacedoc

Overrides: core.Analyzer.name

Return the unit of the data such as "dB", "seconds", etc...

Decorators:

• @interfacedoc

Overrides: core.Analyzer.unit

Process input frames and return a (output_frames, eod) tuple. Both input and output frames are 2D numpy arrays, where columns are channels, and containing an undetermined number of frames. eod=True means that the end-of-data has been reached.

Output-only processors (such as decoders) will raise an exception if the frames argument is not None. All processors (even encoders) return data, even if that means returning the input unchanged.

Warning: it is required to call setup() before this method.

Overrides: core.Processor.process

(inherited documentation)

Post-Process data after processign the input frames with process()

Processors such as analyzers will produce Results during the Post-Process

Overrides: core.Processor.post_process

(inherited documentation)