Init

biapy.data.post_processing.apply_post_processing(cfg, data, Y=None)[source]

Create training and validation generators.

Parameters:

  • cfg (YACS CN object) – Configuration.

  • data (4D Numpy array) – Data to apply post_proccessing. E.g. (num_of_images, y, x, channels).

  • Y (4D Numpy array, optional) – Data GT to calculate the metrics. E.g. (num_of_images, y, x, channels).

Returns:

  • iou_post (float) – Foreground IoU of data compared with Y after post-processing.

  • ov_iou_post (float) – Overall IoU of data compared with Y after post-processing.