Jupyter Notebooks

Several jupyter notebooks are available that provide tutorials about imgaug’s functionality. They are hosted at imgaug-doc/notebooks. The notebooks can be downloaded to interactively modify the examples.

List of Notebooks:

• A01 - Load and Augment an Image
• A02 - Stochastic and Deterministic Augmentation
• A03 - Multicore Augmentation
• B01 - Augment Keypoints (aka Landmarks)
• B02 - Augment Bounding Boxes
• B03 - Augment Polygons
• B06 - Augment Line Strings
• B04 - Augment Heatmaps
• B05 - Augment Segmentation Maps
• C01 - Using Probability Distributions as Parameters
• C02 - Using imgaug with more Control Flow
• C03 - Copying Random States and Using Multiple Augmentation Sequences