Uses of Class
org.deeplearning4j.nn.layers.objdetect.DetectedObject

Packages that use DetectedObject

Package	Description
org.deeplearning4j.nn.adapters
org.deeplearning4j.nn.layers.objdetect

Uses of DetectedObject in org.deeplearning4j.nn.adapters

Methods in org.deeplearning4j.nn.adapters that return types with arguments of type DetectedObject

Modifier and Type	Method	Description
List<DetectedObject>	YoloModelAdapter.apply(Model model, INDArray[] inputs, INDArray[] masks, INDArray[] labelsMasks)
List<DetectedObject>	YoloModelAdapter.apply(INDArray... outputs)

Uses of DetectedObject in org.deeplearning4j.nn.layers.objdetect

Methods in org.deeplearning4j.nn.layers.objdetect that return types with arguments of type DetectedObject

Modifier and Type	Method	Description
List<DetectedObject>	Yolo2OutputLayer.getPredictedObjects(INDArray networkOutput, double threshold)
static List<DetectedObject>	YoloUtils.getPredictedObjects(INDArray boundingBoxPriors, INDArray networkOutput, double confThreshold, double nmsThreshold)	Given the network output and a detection threshold (in range 0 to 1) determine the objects detected by the network. Supports minibatches - the returned DetectedObject instances have an example number index. Note that the dimensions are grid cell units - for example, with 416x416 input, 32x downsampling by the network (before getting to the Yolo2OutputLayer) we have 13x13 grid cells (each corresponding to 32 pixels in the input image).

Methods in org.deeplearning4j.nn.layers.objdetect with parameters of type DetectedObject

Modifier and Type	Method	Description
static double	YoloUtils.iou(DetectedObject o1, DetectedObject o2)	Returns intersection over union (IOU) between o1 and o2.

Method parameters in org.deeplearning4j.nn.layers.objdetect with type arguments of type DetectedObject

Modifier and Type	Method	Description
static void	YoloUtils.nms(List<DetectedObject> objects, double iouThreshold)	Performs non-maximum suppression (NMS) on objects, using their IOU with threshold to match pairs.