Detect objects using Fast R-CNN deep learning detector
fastRCNNObjectDetector object contains
a Fast R-CNN (regions with convolution neural networks) object detector
returned by the
Use of the
fastRCNNObjectDetector object requires Neural Network
When using the
use of a CUDA®-enabled NVIDIA® GPU with compute capability
3.0 or higher is highly recommended. The GPU reduces computation time
significantly. Usage of the GPU requires Parallel
ModelName— Name of the trained object detector
Name of the trained object detector, specified as a character
vector. By default, the
sets the name. You can modify the name after training.
Network— Trained Fast R-CNN object detection network
Trained Fast R-CNN object detection network, specified as a
vision.cnn.FastRCNN object. The object stores the
layers that define the convolutional neural network used within the R-CNN
detector. This network classifies region proposals produced by
RegionProposalFcn— Region proposal method
Region proposal method, specified as a function handle.
ClassNames— Object class names
Names of the object classes that the Fast R-CNN detector was trained to find, specified as a cell array.
MinObjectSize— Minimum object size supported
Minimum object size supported by the Fast R-CNN network, specified as a [height width] vector. The minimum size depends on the network architecture.
|classifyRegions||Classify objects within regions using Fast R-CNN object detector|
|detect||Detect objects using Fast R-CNN object detector|