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TODO:

  • Model/Algorithm to determine signal presence in incoming audio (100 or 200 pixels ahead)
  • Noise generator class to apply realistic noise patterns
  • Global class to log model training parameters and results to json file for visualizatoin and db storage
  • Log batch size to results
  • Collect global variables for all training and fft-flows. eg. tempo interval, cropping, image size etc
  • fix json serialize model config in categorical data log
  • add type checking to logging class properties