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

Q&A
1

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?

2
  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”