Welcome to yapic_io!

yapic_io provides classes for dynamic data-binding of arbitrary large bio image data and associated label data. yapic_io is designed as an input-output layer for training of fully convolutional neural networks, as well as writing predicted data to tiff image files.

  • Supported pixel data sources are tiff and bigtiff files.
  • Supported label data sources are tiff and bigtiff files, as well as Ilastik Project Files (ilp).

This library provides two types of yapic_io.minibatch.Minibatch: yapic_io.training_batch.TrainingBatch and yapic_io.prediction_batch.PredictionBatch.

Each minibatch has a yapic_io.dataset.Dataset, which in turn have a yapic_io.connector.Connector.

Contents:

Installation

Getting Started

API Documentation

yapic_io

yapic_io package

Submodules
yapic_io.connector module
yapic_io.coordinate_connector module
yapic_io.dataset module
yapic_io.ilastik_connector module
yapic_io.minibatch module
yapic_io.prediction_batch module
yapic_io.tiff_connector module
yapic_io.training_batch module
yapic_io.transformations module
yapic_io.utils module
Module contents

Indices and tables