Annotations which stay solely in Bisque aren’t incredibly useful. One of the main reasons for marking up images is to be able to use those annotations for some other purpose, such as training classifiers, computing metrics and features. In this post, we show how to take the annotations from bisque via REST, and convert them into binary masks in matlab.
Once we have images uploaded to Bisque, we might want to be able to overlay annotations on top of them so that users can interact with them. This post quickly goes through the conversation of a binary mask, in matlab, into an XML which can later be imported into Bisque.
Assuming we have the necessary files on our Bisque server (perhaps uploaded with our script), and we have a set of bisque compliant XML annotations (perhaps generated with our script), we would like to upload them to the Bisque server so that they can be evaluated or modified. That is what this post is about 🙂
In this blog post, we discuss how to quickly upload a dataset to Bisque using python. The next blog post will then talk about how to convert binary masks (made in matlab) to annotations usable by Bisque for validation or modification.
In the previous post we discussed how to export annotations from a Ventana Image Viewer program and create binary masks. Now we explain how to do the opposite and import the mask back into Image Viewer.