Find links below to the following AI Modules for image processing, displayed by category:
MODULES by RECOGNITION METHODS:
Anomaly of Surface - 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 by EDDITING TOOLS:
PreProcess - tool for image editing before the next processing.
Mask - tool designed to cover parts of the image which should be ignored.
Unifier - unifies the position and rotation of the objects in the images for further processing.
MODULES by 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 with a top to bottom direction.
By clicking in 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 Context.
0 Comments