Docker images are the essence of an automatic transition; they are the building blocks of a workflow.
This folder contains sample images that can be used directly in an automatic transition, or as a starting point for a customized step in a workflow.
To make a workflow that consist of the samples in this folder there is no need to dwell here. Just check out the tutorials
make-predictions: Get predictions from Lucidtechs world class OCR-models
feedback-to-model: Make sure the OCR-models stays state-of-the-art by feeding corrected results back to the model
export-to-semine: One of many standard integration modules.
When updating an image we use the following repo and naming convention:
name=lucidtechai/transition-samples:<folder-name>docker build . -t $name && docker push $name