Module opencv::dnn

Deep Neural Network module

This module contains: - API for new layers creation, layers are building bricks of neural networks; - set of built-in most-useful Layers; - API to construct and modify comprehensive neural networks from layers; - functionality for loading serialized networks models from different frameworks.

Functionality of this module is designed only for forward pass computations (i.e. network testing). A network training is in principle not supported.

Modules

• prelude

Structs

• AbsLayer
• AccumLayer
• AcosLayer
• AcoshLayer
• ActivationLayer
• ActivationLayerInt8
• ArgLayer
  ArgMax/ArgMin layer
• AsinLayer
• AsinhLayer
• AtanLayer
• AtanhLayer
• BNLLLayer
• BackendNode
  Derivatives of this class encapsulates functions of certain backends.
• BackendWrapper
  Derivatives of this class wraps cv::Mat for different backends and targets.
• BaseConvolutionLayer
• BatchNormLayer
• BatchNormLayerInt8
• BlankLayer
  Partial List of Implemented Layers
• CeilLayer
• CeluLayer
• ChannelsPReLULayer
• ClassificationModel
  This class represents high-level API for classification models.
• CompareLayer
• ConcatLayer
• ConstLayer
  Constant layer produces the same data blob at an every forward pass.
• ConvolutionLayer
• ConvolutionLayerInt8
• CorrelationLayer
• CosLayer
• CoshLayer
• CropAndResizeLayer
• CropLayer
• CumSumLayer
• DataAugmentationLayer
• DeconvolutionLayer
• DequantizeLayer
• DetectionModel
  This class represents high-level API for object detection networks.
• DetectionOutputLayer
  Detection output layer.
• Dict
  This class implements name-value dictionary, values are instances of DictValue.
• DictValue
  This struct stores the scalar value (or array) of one of the following type: double, cv::String or int64. @todo Maybe int64 is useless because double type exactly stores at least 2^52 integers.
• ELULayer
• EltwiseLayer
  Element wise operation on inputs
• EltwiseLayerInt8
• ErfLayer
• ExpLayer
• FlattenLayer
• FloorLayer
• FlowWarpLayer
• GRULayer
  GRU recurrent one-layer
• GatherLayer
  Gather layer
• GeluApproximationLayer
• GeluLayer
• HardSigmoidLayer
• HardSwishLayer
• Image2BlobParams
  Processing params of image to blob.
• InnerProductLayer
  InnerProduct, MatMul and Gemm operations are all implemented by Fully Connected Layer. Parameter is_matmul is used to distinguish MatMul and Gemm from InnerProduct.
• InnerProductLayerInt8
• InterpLayer
  Bilinear resize layer from https://github.com/cdmh/deeplab-public-ver2
• KeypointsModel
  This class represents high-level API for keypoints models
• LRNLayer
• LSTMLayer
  LSTM recurrent layer
• Layer
  This interface class allows to build new Layers - are building blocks of networks.
• LayerFactory
  %Layer factory allows to create instances of registered layers.
• LayerNormLayer
• LayerParams
  This class provides all data needed to initialize layer.
• LogLayer
• MVNLayer
• MaxUnpoolLayer
• MishLayer
• Model
  This class is presented high-level API for neural networks.
• NaryEltwiseLayer
• Net
  This class allows to create and manipulate comprehensive artificial neural networks.
• NormalizeBBoxLayer
  inline formula - normalization layer.
• NotLayer
• PaddingLayer
  Adds extra values for specific axes.
• PermuteLayer
• PoolingLayer
• PoolingLayerInt8
• PowerLayer
• PriorBoxLayer
• ProposalLayer
• QuantizeLayer
• RNNLayer
  Classical recurrent layer
• ReLU6Layer
• ReLULayer
• ReciprocalLayer
• ReduceLayer
• RegionLayer
• ReorgLayer
• RequantizeLayer
• ReshapeLayer
• ResizeLayer
  Resize input 4-dimensional blob by nearest neighbor or bilinear strategy.
• RoundLayer
• ScaleLayer
• ScaleLayerInt8
• ScatterLayer
• ScatterNDLayer
• SegmentationModel
  This class represents high-level API for segmentation models
• SeluLayer
• ShiftLayer
• ShiftLayerInt8
• ShrinkLayer
• ShuffleChannelLayer
  Permute channels of 4-dimensional input blob.
• SigmoidLayer
• SignLayer
• SinLayer
• SinhLayer
• SliceLayer
  Slice layer has several modes:
• SoftmaxLayer
• SoftmaxLayerInt8
• SoftplusLayer
• SoftsignLayer
• SplitLayer
• SqrtLayer
• SwishLayer
• TanHLayer
• TanLayer
• TextDetectionModel
  Base class for text detection networks
• TextDetectionModel_DB
  This class represents high-level API for text detection DL networks compatible with DB model.
• TextDetectionModel_EAST
  This class represents high-level API for text detection DL networks compatible with EAST model.
• TextRecognitionModel
  This class represents high-level API for text recognition networks.
• ThresholdedReluLayer
• TileLayer
• _Range

Enums

• Backend
  Enum of computation backends supported by layers.
• DataLayout
  Enum of data layout for model inference.
• ImagePaddingMode
  Enum of image processing mode. To facilitate the specialization pre-processing requirements of the dnn model. For example, the letter box often used in the Yolo series of models.
• SoftNMSMethod
  Enum of Soft NMS methods.
• Target
  Enum of target devices for computations.

Constants

• CV_DNN_BACKEND_INFERENCE_ENGINE_NGRAPH
• CV_DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_API
• CV_DNN_INFERENCE_ENGINE_CPU_TYPE_ARM_COMPUTE
• CV_DNN_INFERENCE_ENGINE_CPU_TYPE_X86
• CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_2
• CV_DNN_INFERENCE_ENGINE_VPU_TYPE_MYRIAD_X
• CV_DNN_INFERENCE_ENGINE_VPU_TYPE_UNSPECIFIED
• DNN_BACKEND_CANN
• DNN_BACKEND_CUDA
• DNN_BACKEND_DEFAULT
  DNN_BACKEND_DEFAULT equals to DNN_BACKEND_INFERENCE_ENGINE if OpenCV is built with Intel OpenVINO or DNN_BACKEND_OPENCV otherwise.
• DNN_BACKEND_HALIDE
  DNN_BACKEND_DEFAULT equals to DNN_BACKEND_INFERENCE_ENGINE if OpenCV is built with Intel OpenVINO or DNN_BACKEND_OPENCV otherwise.
• DNN_BACKEND_INFERENCE_ENGINE
  Intel OpenVINO computational backend
• DNN_BACKEND_OPENCV
• DNN_BACKEND_TIMVX
• DNN_BACKEND_VKCOM
• DNN_BACKEND_WEBNN
• DNN_LAYOUT_NCDHW
  OpenCV data layout for 5D data.
• DNN_LAYOUT_NCHW
  OpenCV data layout for 4D data.
• DNN_LAYOUT_ND
  OpenCV data layout for 2D data.
• DNN_LAYOUT_NDHWC
  Tensorflow-like data layout for 5D data.
• DNN_LAYOUT_NHWC
  Tensorflow-like data layout for 4D data.
• DNN_LAYOUT_PLANAR
  Tensorflow-like data layout, it should only be used at tf or tflite model parsing.
• DNN_LAYOUT_UNKNOWN
• DNN_PMODE_CROP_CENTER
• DNN_PMODE_LETTERBOX
• DNN_PMODE_NULL
• DNN_TARGET_CPU
• DNN_TARGET_CPU_FP16
• DNN_TARGET_CUDA
• DNN_TARGET_CUDA_FP16
• DNN_TARGET_FPGA
  FPGA device with CPU fallbacks using Inference Engine’s Heterogeneous plugin.
• DNN_TARGET_HDDL
• DNN_TARGET_MYRIAD
• DNN_TARGET_NPU
• DNN_TARGET_OPENCL
• DNN_TARGET_OPENCL_FP16
• DNN_TARGET_VULKAN
• OPENCV_DNN_API_VERSION
• SoftNMSMethod_SOFTNMS_GAUSSIAN
• SoftNMSMethod_SOFTNMS_LINEAR

Traits

• AbsLayerTrait
  Mutable methods for crate::dnn::AbsLayer
• AbsLayerTraitConst
  Constant methods for crate::dnn::AbsLayer
• AccumLayerTrait
  Mutable methods for crate::dnn::AccumLayer
• AccumLayerTraitConst
  Constant methods for crate::dnn::AccumLayer
• AcosLayerTrait
  Mutable methods for crate::dnn::AcosLayer
• AcosLayerTraitConst
  Constant methods for crate::dnn::AcosLayer
• AcoshLayerTrait
  Mutable methods for crate::dnn::AcoshLayer
• AcoshLayerTraitConst
  Constant methods for crate::dnn::AcoshLayer
• ActivationLayerInt8Trait
  Mutable methods for crate::dnn::ActivationLayerInt8
• ActivationLayerInt8TraitConst
  Constant methods for crate::dnn::ActivationLayerInt8
• ActivationLayerTrait
  Mutable methods for crate::dnn::ActivationLayer
• ActivationLayerTraitConst
  Constant methods for crate::dnn::ActivationLayer
• ArgLayerTrait
  Mutable methods for crate::dnn::ArgLayer
• ArgLayerTraitConst
  Constant methods for crate::dnn::ArgLayer
• AsinLayerTrait
  Mutable methods for crate::dnn::AsinLayer
• AsinLayerTraitConst
  Constant methods for crate::dnn::AsinLayer
• AsinhLayerTrait
  Mutable methods for crate::dnn::AsinhLayer
• AsinhLayerTraitConst
  Constant methods for crate::dnn::AsinhLayer
• AtanLayerTrait
  Mutable methods for crate::dnn::AtanLayer
• AtanLayerTraitConst
  Constant methods for crate::dnn::AtanLayer
• AtanhLayerTrait
  Mutable methods for crate::dnn::AtanhLayer
• AtanhLayerTraitConst
  Constant methods for crate::dnn::AtanhLayer
• BNLLLayerTrait
  Mutable methods for crate::dnn::BNLLLayer
• BNLLLayerTraitConst
  Constant methods for crate::dnn::BNLLLayer
• BackendNodeTrait
  Mutable methods for crate::dnn::BackendNode
• BackendNodeTraitConst
  Constant methods for crate::dnn::BackendNode
• BackendWrapperTrait
  Mutable methods for crate::dnn::BackendWrapper
• BackendWrapperTraitConst
  Constant methods for crate::dnn::BackendWrapper
• BaseConvolutionLayerTrait
  Mutable methods for crate::dnn::BaseConvolutionLayer
• BaseConvolutionLayerTraitConst
  Constant methods for crate::dnn::BaseConvolutionLayer
• BatchNormLayerInt8Trait
  Mutable methods for crate::dnn::BatchNormLayerInt8
• BatchNormLayerInt8TraitConst
  Constant methods for crate::dnn::BatchNormLayerInt8
• BatchNormLayerTrait
  Mutable methods for crate::dnn::BatchNormLayer
• BatchNormLayerTraitConst
  Constant methods for crate::dnn::BatchNormLayer
• BlankLayerTrait
  Mutable methods for crate::dnn::BlankLayer
• BlankLayerTraitConst
  Constant methods for crate::dnn::BlankLayer
• CeilLayerTrait
  Mutable methods for crate::dnn::CeilLayer
• CeilLayerTraitConst
  Constant methods for crate::dnn::CeilLayer
• CeluLayerTrait
  Mutable methods for crate::dnn::CeluLayer
• CeluLayerTraitConst
  Constant methods for crate::dnn::CeluLayer
• ChannelsPReLULayerTrait
  Mutable methods for crate::dnn::ChannelsPReLULayer
• ChannelsPReLULayerTraitConst
  Constant methods for crate::dnn::ChannelsPReLULayer
• ClassificationModelTrait
  Mutable methods for crate::dnn::ClassificationModel
• ClassificationModelTraitConst
  Constant methods for crate::dnn::ClassificationModel
• CompareLayerTrait
  Mutable methods for crate::dnn::CompareLayer
• CompareLayerTraitConst
  Constant methods for crate::dnn::CompareLayer
• ConcatLayerTrait
  Mutable methods for crate::dnn::ConcatLayer
• ConcatLayerTraitConst
  Constant methods for crate::dnn::ConcatLayer
• ConstLayerTrait
  Mutable methods for crate::dnn::ConstLayer
• ConstLayerTraitConst
  Constant methods for crate::dnn::ConstLayer
• ConvolutionLayerInt8Trait
  Mutable methods for crate::dnn::ConvolutionLayerInt8
• ConvolutionLayerInt8TraitConst
  Constant methods for crate::dnn::ConvolutionLayerInt8
• ConvolutionLayerTrait
  Mutable methods for crate::dnn::ConvolutionLayer
• ConvolutionLayerTraitConst
  Constant methods for crate::dnn::ConvolutionLayer
• CorrelationLayerTrait
  Mutable methods for crate::dnn::CorrelationLayer
• CorrelationLayerTraitConst
  Constant methods for crate::dnn::CorrelationLayer
• CosLayerTrait
  Mutable methods for crate::dnn::CosLayer
• CosLayerTraitConst
  Constant methods for crate::dnn::CosLayer
• CoshLayerTrait
  Mutable methods for crate::dnn::CoshLayer
• CoshLayerTraitConst
  Constant methods for crate::dnn::CoshLayer
• CropAndResizeLayerTrait
  Mutable methods for crate::dnn::CropAndResizeLayer
• CropAndResizeLayerTraitConst
  Constant methods for crate::dnn::CropAndResizeLayer
• CropLayerTrait
  Mutable methods for crate::dnn::CropLayer
• CropLayerTraitConst
  Constant methods for crate::dnn::CropLayer
• CumSumLayerTrait
  Mutable methods for crate::dnn::CumSumLayer
• CumSumLayerTraitConst
  Constant methods for crate::dnn::CumSumLayer
• DataAugmentationLayerTrait
  Mutable methods for crate::dnn::DataAugmentationLayer
• DataAugmentationLayerTraitConst
  Constant methods for crate::dnn::DataAugmentationLayer
• DeconvolutionLayerTrait
  Mutable methods for crate::dnn::DeconvolutionLayer
• DeconvolutionLayerTraitConst
  Constant methods for crate::dnn::DeconvolutionLayer
• DequantizeLayerTrait
  Mutable methods for crate::dnn::DequantizeLayer
• DequantizeLayerTraitConst
  Constant methods for crate::dnn::DequantizeLayer
• DetectionModelTrait
  Mutable methods for crate::dnn::DetectionModel
• DetectionModelTraitConst
  Constant methods for crate::dnn::DetectionModel
• DetectionOutputLayerTrait
  Mutable methods for crate::dnn::DetectionOutputLayer
• DetectionOutputLayerTraitConst
  Constant methods for crate::dnn::DetectionOutputLayer
• DictTrait
  Mutable methods for crate::dnn::Dict
• DictTraitConst
  Constant methods for crate::dnn::Dict
• DictValueTrait
  Mutable methods for crate::dnn::DictValue
• DictValueTraitConst
  Constant methods for crate::dnn::DictValue
• ELULayerTrait
  Mutable methods for crate::dnn::ELULayer
• ELULayerTraitConst
  Constant methods for crate::dnn::ELULayer
• EltwiseLayerInt8Trait
  Mutable methods for crate::dnn::EltwiseLayerInt8
• EltwiseLayerInt8TraitConst
  Constant methods for crate::dnn::EltwiseLayerInt8
• EltwiseLayerTrait
  Mutable methods for crate::dnn::EltwiseLayer
• EltwiseLayerTraitConst
  Constant methods for crate::dnn::EltwiseLayer
• ErfLayerTrait
  Mutable methods for crate::dnn::ErfLayer
• ErfLayerTraitConst
  Constant methods for crate::dnn::ErfLayer
• ExpLayerTrait
  Mutable methods for crate::dnn::ExpLayer
• ExpLayerTraitConst
  Constant methods for crate::dnn::ExpLayer
• FlattenLayerTrait
  Mutable methods for crate::dnn::FlattenLayer
• FlattenLayerTraitConst
  Constant methods for crate::dnn::FlattenLayer
• FloorLayerTrait
  Mutable methods for crate::dnn::FloorLayer
• FloorLayerTraitConst
  Constant methods for crate::dnn::FloorLayer
• FlowWarpLayerTrait
  Mutable methods for crate::dnn::FlowWarpLayer
• FlowWarpLayerTraitConst
  Constant methods for crate::dnn::FlowWarpLayer
• GRULayerTrait
  Mutable methods for crate::dnn::GRULayer
• GRULayerTraitConst
  Constant methods for crate::dnn::GRULayer
• GatherLayerTrait
  Mutable methods for crate::dnn::GatherLayer
• GatherLayerTraitConst
  Constant methods for crate::dnn::GatherLayer
• GeluApproximationLayerTrait
  Mutable methods for crate::dnn::GeluApproximationLayer
• GeluApproximationLayerTraitConst
  Constant methods for crate::dnn::GeluApproximationLayer
• GeluLayerTrait
  Mutable methods for crate::dnn::GeluLayer
• GeluLayerTraitConst
  Constant methods for crate::dnn::GeluLayer
• HardSigmoidLayerTrait
  Mutable methods for crate::dnn::HardSigmoidLayer
• HardSigmoidLayerTraitConst
  Constant methods for crate::dnn::HardSigmoidLayer
• HardSwishLayerTrait
  Mutable methods for crate::dnn::HardSwishLayer
• HardSwishLayerTraitConst
  Constant methods for crate::dnn::HardSwishLayer
• InnerProductLayerInt8Trait
  Mutable methods for crate::dnn::InnerProductLayerInt8
• InnerProductLayerInt8TraitConst
  Constant methods for crate::dnn::InnerProductLayerInt8
• InnerProductLayerTrait
  Mutable methods for crate::dnn::InnerProductLayer
• InnerProductLayerTraitConst
  Constant methods for crate::dnn::InnerProductLayer
• InterpLayerTrait
  Mutable methods for crate::dnn::InterpLayer
• InterpLayerTraitConst
  Constant methods for crate::dnn::InterpLayer
• KeypointsModelTrait
  Mutable methods for crate::dnn::KeypointsModel
• KeypointsModelTraitConst
  Constant methods for crate::dnn::KeypointsModel
• LRNLayerTrait
  Mutable methods for crate::dnn::LRNLayer
• LRNLayerTraitConst
  Constant methods for crate::dnn::LRNLayer
• LSTMLayerTrait
  Mutable methods for crate::dnn::LSTMLayer
• LSTMLayerTraitConst
  Constant methods for crate::dnn::LSTMLayer
• LayerFactoryTrait
  Mutable methods for crate::dnn::LayerFactory
• LayerFactoryTraitConst
  Constant methods for crate::dnn::LayerFactory
• LayerNormLayerTrait
  Mutable methods for crate::dnn::LayerNormLayer
• LayerNormLayerTraitConst
  Constant methods for crate::dnn::LayerNormLayer
• LayerParamsTrait
  Mutable methods for crate::dnn::LayerParams
• LayerParamsTraitConst
  Constant methods for crate::dnn::LayerParams
• LayerTrait
  Mutable methods for crate::dnn::Layer
• LayerTraitConst
  Constant methods for crate::dnn::Layer
• LogLayerTrait
  Mutable methods for crate::dnn::LogLayer
• LogLayerTraitConst
  Constant methods for crate::dnn::LogLayer
• MVNLayerTrait
  Mutable methods for crate::dnn::MVNLayer
• MVNLayerTraitConst
  Constant methods for crate::dnn::MVNLayer
• MaxUnpoolLayerTrait
  Mutable methods for crate::dnn::MaxUnpoolLayer
• MaxUnpoolLayerTraitConst
  Constant methods for crate::dnn::MaxUnpoolLayer
• MishLayerTrait
  Mutable methods for crate::dnn::MishLayer
• MishLayerTraitConst
  Constant methods for crate::dnn::MishLayer
• ModelTrait
  Mutable methods for crate::dnn::Model
• ModelTraitConst
  Constant methods for crate::dnn::Model
• NaryEltwiseLayerTrait
  Mutable methods for crate::dnn::NaryEltwiseLayer
• NaryEltwiseLayerTraitConst
  Constant methods for crate::dnn::NaryEltwiseLayer
• NetTrait
  Mutable methods for crate::dnn::Net
• NetTraitConst
  Constant methods for crate::dnn::Net
• NormalizeBBoxLayerTrait
  Mutable methods for crate::dnn::NormalizeBBoxLayer
• NormalizeBBoxLayerTraitConst
  Constant methods for crate::dnn::NormalizeBBoxLayer
• NotLayerTrait
  Mutable methods for crate::dnn::NotLayer
• NotLayerTraitConst
  Constant methods for crate::dnn::NotLayer
• PaddingLayerTrait
  Mutable methods for crate::dnn::PaddingLayer
• PaddingLayerTraitConst
  Constant methods for crate::dnn::PaddingLayer
• PermuteLayerTrait
  Mutable methods for crate::dnn::PermuteLayer
• PermuteLayerTraitConst
  Constant methods for crate::dnn::PermuteLayer
• PoolingLayerInt8Trait
  Mutable methods for crate::dnn::PoolingLayerInt8
• PoolingLayerInt8TraitConst
  Constant methods for crate::dnn::PoolingLayerInt8
• PoolingLayerTrait
  Mutable methods for crate::dnn::PoolingLayer
• PoolingLayerTraitConst
  Constant methods for crate::dnn::PoolingLayer
• PowerLayerTrait
  Mutable methods for crate::dnn::PowerLayer
• PowerLayerTraitConst
  Constant methods for crate::dnn::PowerLayer
• PriorBoxLayerTrait
  Mutable methods for crate::dnn::PriorBoxLayer
• PriorBoxLayerTraitConst
  Constant methods for crate::dnn::PriorBoxLayer
• ProposalLayerTrait
  Mutable methods for crate::dnn::ProposalLayer
• ProposalLayerTraitConst
  Constant methods for crate::dnn::ProposalLayer
• QuantizeLayerTrait
  Mutable methods for crate::dnn::QuantizeLayer
• QuantizeLayerTraitConst
  Constant methods for crate::dnn::QuantizeLayer
• RNNLayerTrait
  Mutable methods for crate::dnn::RNNLayer
• RNNLayerTraitConst
  Constant methods for crate::dnn::RNNLayer
• ReLU6LayerTrait
  Mutable methods for crate::dnn::ReLU6Layer
• ReLU6LayerTraitConst
  Constant methods for crate::dnn::ReLU6Layer
• ReLULayerTrait
  Mutable methods for crate::dnn::ReLULayer
• ReLULayerTraitConst
  Constant methods for crate::dnn::ReLULayer
• ReciprocalLayerTrait
  Mutable methods for crate::dnn::ReciprocalLayer
• ReciprocalLayerTraitConst
  Constant methods for crate::dnn::ReciprocalLayer
• ReduceLayerTrait
  Mutable methods for crate::dnn::ReduceLayer
• ReduceLayerTraitConst
  Constant methods for crate::dnn::ReduceLayer
• RegionLayerTrait
  Mutable methods for crate::dnn::RegionLayer
• RegionLayerTraitConst
  Constant methods for crate::dnn::RegionLayer
• ReorgLayerTrait
  Mutable methods for crate::dnn::ReorgLayer
• ReorgLayerTraitConst
  Constant methods for crate::dnn::ReorgLayer
• RequantizeLayerTrait
  Mutable methods for crate::dnn::RequantizeLayer
• RequantizeLayerTraitConst
  Constant methods for crate::dnn::RequantizeLayer
• ReshapeLayerTrait
  Mutable methods for crate::dnn::ReshapeLayer
• ReshapeLayerTraitConst
  Constant methods for crate::dnn::ReshapeLayer
• ResizeLayerTrait
  Mutable methods for crate::dnn::ResizeLayer
• ResizeLayerTraitConst
  Constant methods for crate::dnn::ResizeLayer
• RoundLayerTrait
  Mutable methods for crate::dnn::RoundLayer
• RoundLayerTraitConst
  Constant methods for crate::dnn::RoundLayer
• ScaleLayerInt8Trait
  Mutable methods for crate::dnn::ScaleLayerInt8
• ScaleLayerInt8TraitConst
  Constant methods for crate::dnn::ScaleLayerInt8
• ScaleLayerTrait
  Mutable methods for crate::dnn::ScaleLayer
• ScaleLayerTraitConst
  Constant methods for crate::dnn::ScaleLayer
• ScatterLayerTrait
  Mutable methods for crate::dnn::ScatterLayer
• ScatterLayerTraitConst
  Constant methods for crate::dnn::ScatterLayer
• ScatterNDLayerTrait
  Mutable methods for crate::dnn::ScatterNDLayer
• ScatterNDLayerTraitConst
  Constant methods for crate::dnn::ScatterNDLayer
• SegmentationModelTrait
  Mutable methods for crate::dnn::SegmentationModel
• SegmentationModelTraitConst
  Constant methods for crate::dnn::SegmentationModel
• SeluLayerTrait
  Mutable methods for crate::dnn::SeluLayer
• SeluLayerTraitConst
  Constant methods for crate::dnn::SeluLayer
• ShiftLayerInt8Trait
  Mutable methods for crate::dnn::ShiftLayerInt8
• ShiftLayerInt8TraitConst
  Constant methods for crate::dnn::ShiftLayerInt8
• ShiftLayerTrait
  Mutable methods for crate::dnn::ShiftLayer
• ShiftLayerTraitConst
  Constant methods for crate::dnn::ShiftLayer
• ShrinkLayerTrait
  Mutable methods for crate::dnn::ShrinkLayer
• ShrinkLayerTraitConst
  Constant methods for crate::dnn::ShrinkLayer
• ShuffleChannelLayerTrait
  Mutable methods for crate::dnn::ShuffleChannelLayer
• ShuffleChannelLayerTraitConst
  Constant methods for crate::dnn::ShuffleChannelLayer
• SigmoidLayerTrait
  Mutable methods for crate::dnn::SigmoidLayer
• SigmoidLayerTraitConst
  Constant methods for crate::dnn::SigmoidLayer
• SignLayerTrait
  Mutable methods for crate::dnn::SignLayer
• SignLayerTraitConst
  Constant methods for crate::dnn::SignLayer
• SinLayerTrait
  Mutable methods for crate::dnn::SinLayer
• SinLayerTraitConst
  Constant methods for crate::dnn::SinLayer
• SinhLayerTrait
  Mutable methods for crate::dnn::SinhLayer
• SinhLayerTraitConst
  Constant methods for crate::dnn::SinhLayer
• SliceLayerTrait
  Mutable methods for crate::dnn::SliceLayer
• SliceLayerTraitConst
  Constant methods for crate::dnn::SliceLayer
• SoftmaxLayerInt8Trait
  Mutable methods for crate::dnn::SoftmaxLayerInt8
• SoftmaxLayerInt8TraitConst
  Constant methods for crate::dnn::SoftmaxLayerInt8
• SoftmaxLayerTrait
  Mutable methods for crate::dnn::SoftmaxLayer
• SoftmaxLayerTraitConst
  Constant methods for crate::dnn::SoftmaxLayer
• SoftplusLayerTrait
  Mutable methods for crate::dnn::SoftplusLayer
• SoftplusLayerTraitConst
  Constant methods for crate::dnn::SoftplusLayer
• SoftsignLayerTrait
  Mutable methods for crate::dnn::SoftsignLayer
• SoftsignLayerTraitConst
  Constant methods for crate::dnn::SoftsignLayer
• SplitLayerTrait
  Mutable methods for crate::dnn::SplitLayer
• SplitLayerTraitConst
  Constant methods for crate::dnn::SplitLayer
• SqrtLayerTrait
  Mutable methods for crate::dnn::SqrtLayer
• SqrtLayerTraitConst
  Constant methods for crate::dnn::SqrtLayer
• SwishLayerTrait
  Mutable methods for crate::dnn::SwishLayer
• SwishLayerTraitConst
  Constant methods for crate::dnn::SwishLayer
• TanHLayerTrait
  Mutable methods for crate::dnn::TanHLayer
• TanHLayerTraitConst
  Constant methods for crate::dnn::TanHLayer
• TanLayerTrait
  Mutable methods for crate::dnn::TanLayer
• TanLayerTraitConst
  Constant methods for crate::dnn::TanLayer
• TextDetectionModelTrait
  Mutable methods for crate::dnn::TextDetectionModel
• TextDetectionModelTraitConst
  Constant methods for crate::dnn::TextDetectionModel
• TextDetectionModel_DBTrait
  Mutable methods for crate::dnn::TextDetectionModel_DB
• TextDetectionModel_DBTraitConst
  Constant methods for crate::dnn::TextDetectionModel_DB
• TextDetectionModel_EASTTrait
  Mutable methods for crate::dnn::TextDetectionModel_EAST
• TextDetectionModel_EASTTraitConst
  Constant methods for crate::dnn::TextDetectionModel_EAST
• TextRecognitionModelTrait
  Mutable methods for crate::dnn::TextRecognitionModel
• TextRecognitionModelTraitConst
  Constant methods for crate::dnn::TextRecognitionModel
• ThresholdedReluLayerTrait
  Mutable methods for crate::dnn::ThresholdedReluLayer
• ThresholdedReluLayerTraitConst
  Constant methods for crate::dnn::ThresholdedReluLayer
• TileLayerTrait
  Mutable methods for crate::dnn::TileLayer
• TileLayerTraitConst
  Constant methods for crate::dnn::TileLayer
• _RangeTrait
  Mutable methods for crate::dnn::_Range
• _RangeTraitConst
  Constant methods for crate::dnn::_Range

Functions

• blob_from_image
  Creates 4-dimensional blob from image. Optionally resizes and crops @p image from center, subtract @p mean values, scales values by @p scalefactor, swap Blue and Red channels.
• blob_from_image_to
  Creates 4-dimensional blob from image. @details This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• blob_from_image_with_params
  Creates 4-dimensional blob from image with given params.
• blob_from_image_with_params_1
  Creates 4-dimensional blob from image with given params.
• blob_from_images
  Creates 4-dimensional blob from series of images. Optionally resizes and crops @p images from center, subtract @p mean values, scales values by @p scalefactor, swap Blue and Red channels.
• blob_from_images_to
  Creates 4-dimensional blob from series of images. @details This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• blob_from_images_with_params
  Creates 4-dimensional blob from series of images with given params.
• blob_from_images_with_params_1
  Creates 4-dimensional blob from series of images with given params.
• concat
• enable_model_diagnostics
  Enables detailed logging of the DNN model loading with CV DNN API.
• get_available_backends
• get_available_targets
• get_inference_engine_backend_type
  Returns Inference Engine internal backend API.
• get_inference_engine_cpu_type
  Returns Inference Engine CPU type.
• get_inference_engine_vpu_type
  Returns Inference Engine VPU type.
• get_plane
• images_from_blob
  Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure (std::vectorcv::Mat).
• nms_boxes
  Performs non maximum suppression given boxes and corresponding scores.
• nms_boxes_batched
  Performs batched non maximum suppression on given boxes and corresponding scores across different classes.
• nms_boxes_batched_1
  C++ default parameters
• nms_boxes_f64
  C++ default parameters
• nms_boxes_rotated
  C++ default parameters
• read_net
  Read deep learning network represented in one of the supported formats.
• read_net_1
  Read deep learning network represented in one of the supported formats. @details This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• read_net_from_caffe
  Reads a network model stored in Caffe framework’s format.
• read_net_from_caffe_buffer
  Reads a network model stored in Caffe model in memory.
• read_net_from_caffe_str
  Reads a network model stored in Caffe model in memory. @details This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• read_net_from_darknet
  Reads a network model stored in Darknet model files.
• read_net_from_darknet_buffer
  Reads a network model stored in Darknet model files.
• read_net_from_darknet_str
  Reads a network model stored in Darknet model files.
• read_net_from_model_optimizer
  Load a network from Intel’s Model Optimizer intermediate representation.
• read_net_from_model_optimizer_1
  Load a network from Intel’s Model Optimizer intermediate representation.
• read_net_from_model_optimizer_2
  Load a network from Intel’s Model Optimizer intermediate representation.
• read_net_from_onnx
  Reads a network model ONNX.
• read_net_from_onnx_buffer
  Reads a network model from ONNX in-memory buffer.
• read_net_from_onnx_str
  Reads a network model from ONNX in-memory buffer.
• read_net_from_tensorflow
  Reads a network model stored in TensorFlow framework’s format.
• read_net_from_tensorflow_buffer
  Reads a network model stored in TensorFlow framework’s format.
• read_net_from_tensorflow_str
  Reads a network model stored in TensorFlow framework’s format. @details This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• read_net_from_tf_lite
  Reads a network model stored in TFLite framework’s format.
• read_net_from_tf_lite_1
  Reads a network model stored in TFLite framework’s format.
• read_net_from_tf_lite_2
  Reads a network model stored in TFLite framework’s format. @details This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
• read_net_from_torch
  Reads a network model stored in Torch7 framework’s format.
• read_tensor_from_onnx
  Creates blob from .pb file.
• read_torch_blob
  Loads blob which was serialized as torch.Tensor object of Torch7 framework. @warning This function has the same limitations as readNetFromTorch().
• release_hddl_plugin
  Release a HDDL plugin.
• reset_myriad_device
  Release a Myriad device (binded by OpenCV).
• set_inference_engine_backend_type
  Specify Inference Engine internal backend API.
• shape
• shape_1
• shape_2
• shape_3
• shape_4
  C++ default parameters
• shrink_caffe_model
  Convert all weights of Caffe network to half precision floating point.
• slice
• slice_1
• slice_2
• slice_3
• soft_nms_boxes
  Performs soft non maximum suppression given boxes and corresponding scores. Reference: https://arxiv.org/abs/1704.04503
• total
  C++ default parameters
• total_1
  C++ default parameters
• write_text_graph
  Create a text representation for a binary network stored in protocol buffer format.

Type Definitions

• LayerFactory_Constructor
  Each Layer class must provide this function to the factory
• MatShape
• Net_LayerIdDeprecated
  Container for strings and integers.