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  • Installation
  • Quick start
  • User guide
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  • Models
  • Model networks and factories
  • Image prediction and instance masks
  • Slide reading
  • Slide inference and merging
  • ONNX export
  • Datasets
  • Losses
  • Metrics
  • Transforms
  • File I/O
  • API reference

API reference#

Look up how to create a model, prepare its input and interpret its results. For complete workflows, start with the quick start or user guide.

Model classes load weights and predict images. Their .model attribute gives you the PyTorch network for training. Use network factories to create a network directly.

  • Models
  • Model networks and factories
  • Image prediction and instance masks
  • Slide reading
  • Slide inference and merging
  • ONNX export
  • Datasets
  • Losses
  • Metrics
  • Transforms
  • File I/O

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