Find links below to the following Modules for image processing, displayed by category:
MODULES - RECOGNITION METHODS:
Anomaly Detector - searches for anomalies in the image.
Classifier - object classification.
Detector - searches for objects (and optionally classifies them).
Surface Detection - surface recognition.
Measure - measuring dimensions of objects.
OCR - recognizing characters/words in the image.
MODULES - EDITING TOOLS:
Preprocess - tool for image editing before the next processing.
Mask - tool designed to cover parts of the image that should be ignored.
Unifier - unifies the position and rotation of the objects in the images for further processing.
MODULES - ENHANCEMENTS:
Code - image processing by a custom code
Parallelism - parallelism enables parallel processing between branches.
Artificial Intelligence modules are trained based on user-annotated models. The user then selects which model should be used for the module.
The principle of image processing is based on a one-way passage through the modules, where each module processes the image and sends new information to the next module.
In some cases, selecting a single module may be sufficient to achieve a successful result.
The order of modules is called Flow and the software runs through the flow in a top-to-bottom direction. You can see the flow of modules in the graph available under Modules option. There you can also see which modules are active/inactive and their processing time.
By clicking on Edit button, the flow can be configured, you can add modules by using + button on a desired position, which shows the following pop-up window, containing brief information about each module:
You can also Remove, Rename or Add notes to existing modules in the Flow.
Modules communicate between them via/wiki/spaces/KB3141/pages/533529551.