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DAS documentation
Logo
  • Introduction
  • Installation
  • Quick start tutorial (fly)
  • GUI documentation
    • Load and view data
    • Annotate song
    • Train
    • Predict
  • Programming documentation
    • Convert your own annotations and audio data
    • Make a dataset from custom data formats
    • Train
    • Predict
    • Training and inference with colab
    • Choice of structural network parameters
    • Architecture tuning
    • Experiment tracking with Weights & Biases
    • Generate segment labels
    • Evaluate a sine and pulse network
    • Evaluate a bird song network
    • Annotate audio in realtime
  • Unsupervised classification
    • Courtship song of flies
    • Song of Bengalese finches
    • Ultrasonic vocalizations from mice
  • Technical details
    • Command line interfaces
    • Data formats
  • Developer API
    • das.annot
    • das.augmentation
    • das.block_stratify
    • das.data
    • das.data_hash
    • das.evaluate
    • das.event_utils
    • das.io
    • das.make_dataset
    • das.menagerie
    • das.models
    • das.models_legacy
    • das.npy_dir
    • das.postprocessing
    • das.predict
    • das.pulse_utils
    • das.segment_utils
    • das.spec_utils
    • das.tracking
    • das.train
    • das.train_tune
    • das.utils
    • das.utils_plot
    • das.kapre.augmentation
    • das.kapre.backend
    • das.kapre.backend_keras
    • das.kapre.filterbank
    • das.kapre.time_frequency
    • das.kapre.utils
    • das.tcn.tcn
    • das.tcn.tcn_new
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GUI documentation#

Start with the quick start tutorial.

This part of the documentation contains a comprehensive description of all menus and options to:

  • Load and view data

  • Annotate song

  • Train a network

  • Generate annotations using the network

Next
Load and view data
Previous
Quick start tutorial (fly)
Copyright © 2021, Jan Clemens
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