Classify whole images with an SVM.
BK = BLOCK_TEST_SVM() Initializes the block with the default options.
BK = BLOCK_TEST_SVM(BK) Executes the block with options and inputs BK.
Required inputs:
- kernel
The kernel computed between the training and test images.
- svm
The trained SVM.
Fetchable attributes:
- prediction
Returns [PRED, PRED_SEG_IDS, DEC, DEC_LABELS] where PRED are the predictions of the segment labels, PRED_SEG_IDS are the ID of the correspodning segments, DEC is the matrix of the decision functions and DEC_LABELS the corresponding labels. See SVMKERNELTEST()).