How to use Mech-DLK's model cascading function?

If in deep learning it is necessary to first use instance segmentation to segment objects, and then use image classification to distinguish positive and negative, how does such a model cascade operate? Is there any documentation?

  1. After the instance segmentation model training is completed, click Verify;
  2. Add an image classification module and import data from the previous level;
  3. After the image classification model training is completed, click Export.
    The document can be viewed in docs: “Help - User Manual - Meck-DLK Application Guide - Cascading Module”