Uses of Class
org.bytedeco.opencv.opencv_dnn.Net

Packages that use Net

Package	Description
org.bytedeco.opencv.global
org.bytedeco.opencv.opencv_dnn

Uses of Net in org.bytedeco.opencv.global

Methods in org.bytedeco.opencv.global that return Net

Modifier and Type	Method and Description
static Net	opencv_dnn.readNet(BytePointer model)
static Net	opencv_dnn.readNet(BytePointer framework, byte[] bufferModel)
static Net	opencv_dnn.readNet(BytePointer framework, byte[] bufferModel, byte[] bufferConfig)
static Net	opencv_dnn.readNet(BytePointer framework, ByteBuffer bufferModel)
static Net	opencv_dnn.readNet(BytePointer framework, ByteBuffer bufferModel, ByteBuffer bufferConfig)
static Net	opencv_dnn.readNet(BytePointer framework, BytePointer bufferModel) \brief Read deep learning network represented in one of the supported formats.
static Net	opencv_dnn.readNet(BytePointer model, BytePointer config, BytePointer framework) \brief Read deep learning network represented in one of the supported formats.
static Net	opencv_dnn.readNet(String model)
static Net	opencv_dnn.readNet(String framework, byte[] bufferModel)
static Net	opencv_dnn.readNet(String framework, byte[] bufferModel, byte[] bufferConfig)
static Net	opencv_dnn.readNet(String framework, ByteBuffer bufferModel)
static Net	opencv_dnn.readNet(String framework, ByteBuffer bufferModel, ByteBuffer bufferConfig)
static Net	opencv_dnn.readNet(String framework, BytePointer bufferModel)
static Net	opencv_dnn.readNet(String framework, BytePointer bufferModel, BytePointer bufferConfig)
static Net	opencv_dnn.readNet(String model, String config, String framework)
static Net	opencv_dnn.readNetFromCaffe(byte[] bufferProto)
static Net	opencv_dnn.readNetFromCaffe(byte[] bufferProto, byte[] bufferModel)
static Net	opencv_dnn.readNetFromCaffe(ByteBuffer bufferProto)
static Net	opencv_dnn.readNetFromCaffe(ByteBuffer bufferProto, ByteBuffer bufferModel) \brief Reads a network model stored in Caffe model in memory.
static Net	opencv_dnn.readNetFromCaffe(BytePointer prototxt)
static Net	opencv_dnn.readNetFromCaffe(BytePointer prototxt, BytePointer caffeModel) \brief Reads a network model stored in Caffe framework's format.
static Net	opencv_dnn.readNetFromCaffe(BytePointer bufferProto, long lenProto)
static Net	opencv_dnn.readNetFromCaffe(BytePointer bufferProto, long lenProto, BytePointer bufferModel, long lenModel) \brief Reads a network model stored in Caffe model in memory.
static Net	opencv_dnn.readNetFromCaffe(String prototxt)
static Net	opencv_dnn.readNetFromCaffe(String bufferProto, long lenProto)
static Net	opencv_dnn.readNetFromCaffe(String bufferProto, long lenProto, String bufferModel, long lenModel)
static Net	opencv_dnn.readNetFromCaffe(String prototxt, String caffeModel)
static Net	opencv_dnn.readNetFromDarknet(byte[] bufferCfg)
static Net	opencv_dnn.readNetFromDarknet(byte[] bufferCfg, byte[] bufferModel)
static Net	opencv_dnn.readNetFromDarknet(ByteBuffer bufferCfg)
static Net	opencv_dnn.readNetFromDarknet(ByteBuffer bufferCfg, ByteBuffer bufferModel) \brief Reads a network model stored in Darknet model files.
static Net	opencv_dnn.readNetFromDarknet(BytePointer cfgFile)
static Net	opencv_dnn.readNetFromDarknet(BytePointer cfgFile, BytePointer darknetModel) \brief Reads a network model stored in Darknet model files.
static Net	opencv_dnn.readNetFromDarknet(BytePointer bufferCfg, long lenCfg)
static Net	opencv_dnn.readNetFromDarknet(BytePointer bufferCfg, long lenCfg, BytePointer bufferModel, long lenModel) \brief Reads a network model stored in Darknet model files.
static Net	opencv_dnn.readNetFromDarknet(String cfgFile)
static Net	opencv_dnn.readNetFromDarknet(String bufferCfg, long lenCfg)
static Net	opencv_dnn.readNetFromDarknet(String bufferCfg, long lenCfg, String bufferModel, long lenModel)
static Net	opencv_dnn.readNetFromDarknet(String cfgFile, String darknetModel)
static Net	opencv_dnn.readNetFromModelOptimizer(byte[] bufferModelConfig, byte[] bufferWeights)
static Net	opencv_dnn.readNetFromModelOptimizer(byte[] bufferModelConfigPtr, long bufferModelConfigSize, byte[] bufferWeightsPtr, long bufferWeightsSize)
static Net	opencv_dnn.readNetFromModelOptimizer(ByteBuffer bufferModelConfig, ByteBuffer bufferWeights) \brief Load a network from Intel's Model Optimizer intermediate representation.
static Net	opencv_dnn.readNetFromModelOptimizer(ByteBuffer bufferModelConfigPtr, long bufferModelConfigSize, ByteBuffer bufferWeightsPtr, long bufferWeightsSize)
static Net	opencv_dnn.readNetFromModelOptimizer(BytePointer xml, BytePointer bin) \brief Load a network from Intel's Model Optimizer intermediate representation.
static Net	opencv_dnn.readNetFromModelOptimizer(BytePointer bufferModelConfigPtr, long bufferModelConfigSize, BytePointer bufferWeightsPtr, long bufferWeightsSize) \brief Load a network from Intel's Model Optimizer intermediate representation.
static Net	opencv_dnn.readNetFromModelOptimizer(String xml, String bin)
static Net	opencv_dnn.readNetFromONNX(byte[] buffer)
static Net	opencv_dnn.readNetFromONNX(ByteBuffer buffer) \brief Reads a network model from ONNX in-memory buffer.
static Net	opencv_dnn.readNetFromONNX(BytePointer onnxFile) \brief Reads a network model ONNX.
static Net	opencv_dnn.readNetFromONNX(BytePointer buffer, long sizeBuffer) \brief Reads a network model from ONNX in-memory buffer.
static Net	opencv_dnn.readNetFromONNX(String onnxFile)
static Net	opencv_dnn.readNetFromONNX(String buffer, long sizeBuffer)
static Net	opencv_dnn.readNetFromTensorflow(byte[] bufferModel)
static Net	opencv_dnn.readNetFromTensorflow(byte[] bufferModel, byte[] bufferConfig)
static Net	opencv_dnn.readNetFromTensorflow(ByteBuffer bufferModel)
static Net	opencv_dnn.readNetFromTensorflow(ByteBuffer bufferModel, ByteBuffer bufferConfig) \brief Reads a network model stored in TensorFlow framework's format.
static Net	opencv_dnn.readNetFromTensorflow(BytePointer model)
static Net	opencv_dnn.readNetFromTensorflow(BytePointer model, BytePointer config) \brief Reads a network model stored in TensorFlow framework's format.
static Net	opencv_dnn.readNetFromTensorflow(BytePointer bufferModel, long lenModel)
static Net	opencv_dnn.readNetFromTensorflow(BytePointer bufferModel, long lenModel, BytePointer bufferConfig, long lenConfig) \brief Reads a network model stored in TensorFlow framework's format.
static Net	opencv_dnn.readNetFromTensorflow(String model)
static Net	opencv_dnn.readNetFromTensorflow(String bufferModel, long lenModel)
static Net	opencv_dnn.readNetFromTensorflow(String bufferModel, long lenModel, String bufferConfig, long lenConfig)
static Net	opencv_dnn.readNetFromTensorflow(String model, String config)
static Net	opencv_dnn.readNetFromTorch(BytePointer model)
static Net	opencv_dnn.readNetFromTorch(BytePointer model, boolean isBinary, boolean evaluate) \brief Reads a network model stored in Torch7 framework's format.
static Net	opencv_dnn.readNetFromTorch(String model)
static Net	opencv_dnn.readNetFromTorch(String model, boolean isBinary, boolean evaluate)

Uses of Net in org.bytedeco.opencv.opencv_dnn

Subclasses of Net in org.bytedeco.opencv.opencv_dnn

Modifier and Type	Class and Description
class	ClassificationModel \brief This class represents high-level API for classification models.
class	DetectionModel \brief This class represents high-level API for object detection networks.
class	KeypointsModel \brief This class represents high-level API for keypoints models KeypointsModel allows to set params for preprocessing input image.
class	Model \brief This class is presented high-level API for neural networks.
class	SegmentationModel \brief This class represents high-level API for segmentation models SegmentationModel allows to set params for preprocessing input image.

Methods in org.bytedeco.opencv.opencv_dnn that return Net

Modifier and Type	Method and Description
Net	Net.position(long position)
static Net	Net.readFromModelOptimizer(byte[] bufferModelConfig, byte[] bufferWeights)
static Net	Net.readFromModelOptimizer(byte[] bufferModelConfigPtr, long bufferModelConfigSize, byte[] bufferWeightsPtr, long bufferWeightsSize)
static Net	Net.readFromModelOptimizer(ByteBuffer bufferModelConfig, ByteBuffer bufferWeights) \brief Create a network from Intel's Model Optimizer in-memory buffers with intermediate representation (IR).
static Net	Net.readFromModelOptimizer(ByteBuffer bufferModelConfigPtr, long bufferModelConfigSize, ByteBuffer bufferWeightsPtr, long bufferWeightsSize)
static Net	Net.readFromModelOptimizer(BytePointer xml, BytePointer bin) \brief Create a network from Intel's Model Optimizer intermediate representation (IR).
static Net	Net.readFromModelOptimizer(BytePointer bufferModelConfigPtr, long bufferModelConfigSize, BytePointer bufferWeightsPtr, long bufferWeightsSize) \brief Create a network from Intel's Model Optimizer in-memory buffers with intermediate representation (IR).
static Net	Net.readFromModelOptimizer(String xml, String bin)

Constructors in org.bytedeco.opencv.opencv_dnn with parameters of type Net

Constructor and Description
ClassificationModel(Net network) \brief Create model from deep learning network.
DetectionModel(Net network) \brief Create model from deep learning network.
KeypointsModel(Net network) \brief Create model from deep learning network.
Model(Net network) \brief Create model from deep learning network.
SegmentationModel(Net network) \brief Create model from deep learning network.