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Overview

Napari-Easy-Augment-Batch-DL consists of a panel that interacts with several different Napari layers. The below screenshot shows Napari-Easy-Augment-Batch-DL open in Napari.

Main Screen Main screen showing various layers and annotations.

Panel Groups

  1. Load and Label: Load images then use the layers to label.

  2. Augment: Apply augmentations to labels and save patches

  3. Train and Predict: Use patches to train models, then use model to generate predictions.

Napari-Easy-Augment-Batch Layers

  1. Images: The image set you are working with.

  2. Labels: Manually drawn labels.

  3. Predictions: Predictions from the trained model.

  4. Label Box: Indicates which regions should be used for training. Manually drawn labels outside of a label box will not be used for training. In the figure above, the blue box is a label box.

  5. ml_labels (experimental): Labels used for live ML training. Experiment with live machine learning training using these labels.

  6. Object Box: Annotate individual objects with a bounding box. This type of annotation is used for training YOLO and other object detection methods.

  7. Predicted Object Box: Predicted object box from YOLO or other object detection frameworks.