Setup Learn Color Pattern (G Dataflow)

Invariance mode to use when learning the template pattern.

Color feature mode to use when setting up a color learn pattern.

Input that specifies if black or white colors are excluded from the color features of the template image.

Any color excluded during the learning process is also ignored from the template in the match phase.

Threshold used to distinguish between two colors having the same hue values.

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.

error in does not contain an error	error in contains an error
If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

Array of color spectra providing a set of colors to exclude from the color features of the template image.

Each color to ignore is the dominant color of a color spectrum. Any color excluded during the learning phase is also ignored in the template during the matching phase. The dominant color chosen is based on the color sensitivity set in the Setup Match Color Pattern node. To make color spectra, use the Learn Color node and set color sensitivity to High.

String that contains information about the setup parameters selected for the learning phase.

Connect this output to the Learn Color Pattern node.

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.

error in does not contain an error	error in contains an error
If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.