v2021.1 (May 3, 2021)
New machine learning methods
Machine learning is a core feature of Breeze for training models for classification and quantification applications. In this version we open up a new way of working with an extended number of machine learning algorithms through Microsoft's ML.NET which is an open source and cross-platform machine learning framework.
Algorithm auto selection
Automatically find the best algorithm for your data or use manual algorithm selection.
with the Breeze and Breeze Runtime workflow
in many use-cases. For example multi-class problems and nonlinear data
Support for ONNX models
Import and run your models that are developed in external software using the Open Neural Network Exchange format. https://onnx.a
Images, Plots and Graphs
Improved resolution and quality preview images
Crop image into a new measurement (or replace existing)
Export of confusion matrix (Classification table) to tab separated text file
Real time visualization in Play based on object class (or pixel class)
Modelling and data analysis
Classify objects based on the number or % of pixels of a class in the object using the descriptor Classification by expression
Sorting of objects that are positioned in a grid by using a row-wise or column-wise
Spectral pretreatment Logarithm and UV-scale Pretreatments
USGS classification algorithm using spectral library for mineral analysis (Beta
function, HySpex cameras only)
Object identification (image segmentation)and classification using YOLOv4 or Faster
R-CNN ONNX models
Convert image data to reflectance or absorbance image
Choose area from image to use as white reference from imported image file or se-
parate white reference file
X-Ray. Connect to and acquire data from Detection Technology X-Ray Ethernet detector.
Curve separation algorithm for classification using dual energy X-Ray data
Simultaneous data acquisition from dual cameras (Beta function). HySpex cameras
supported. Parallel (side by side) or sequential cameras.
Breeze Runtime can be run as a Windows Service
Separate Java installation is no longer required for MacOS and Linux
Synchronize workflows from folder when calling
GetWorkflowscommand in Breeze
Descriptor help section. A new help section providing more information on specific
descriptors and segmentations.