Assigns a class to the custom feature vector given in feature vector and adds it to the classifier session.
Descriptor that defines the rectangle specifying the location of the sample in the image.
If ROI descriptor is empty or not connected, the entire image is considered to be the region.
Coordinates of the bounding rectangle.
Individual shapes that define an ROI.
Object specifying if contour is the external or internal edge of an ROI.
Shape type of the contour.
Relative position of the contour.
Reference to the classifier session on which the node operates.
Reference to the image to be used as the thumbnail of the sample.
Class to which you want to assign the sample.
Error conditions that occur before this node runs.
The node responds to this input according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Default: No error
User-defined vector that uniquely describes the sample.
All feature vectors added to a custom session must have the same dimensions.
Reference to the classifier session the node creates.
Error information.
The node produces this output according to standard error behavior.
Standard Error Behavior
Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.
Where This Node Can Run:
Desktop OS: Windows
FPGA: Not supported
Web Server: Not supported in VIs that run in a web application