Get Classifier Sample Information (G Dataflow)

Reference to the classifier session on which the node operates.

Reference to the image that will store the thumbnail image of the sample specified by sample index.

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

Index of a sample in the classifier session.

The samples are indexed in the order in which they were added to the session, starting with 0. Set this parameter to -1 to get only the number of samples value.

Vector entered in the Add Custom Classifier Sample node.

If the session referenced by classifier session in is not a custom session, feature vector is empty.

Reference to the classifier session the node creates.

Reference to the image that stores the thumbnail image of the sample specified by sample index.

Class to which the sample specified by sample index belongs.

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.

Total number of samples in the classifier session.