opencv2/dnn/all_layers.hpp

#include <opencv2/dnn.hpp>

Include dependency graph for all_layers.hpp:

Classes

class cv::dnn::AbsLayer

class cv::dnn::AccumLayer

class cv::dnn::AcoshLayer

class cv::dnn::AcosLayer

struct cv::dnn::ActivationInt8Params

class cv::dnn::ActivationLayer

class cv::dnn::ActivationLayerInt8

class cv::dnn::AffineGridLayer

class cv::dnn::ArgLayer

ArgMax/ArgMin layer. More…

class cv::dnn::AsinhLayer

class cv::dnn::AsinLayer

class cv::dnn::AtanhLayer

class cv::dnn::AtanLayer

class cv::dnn::AttentionLayer

class cv::dnn::AttentionOnnxAiLayer

class cv::dnn::AveragePoolLayer

class cv::dnn::BaseConvolutionLayer

class cv::dnn::BatchNorm2Layer

class cv::dnn::BatchNormLayer

class cv::dnn::BatchNormLayerInt8

class cv::dnn::BitShiftLayer

class cv::dnn::BlackmanWindowLayer

class cv::dnn::BlankLayer

class cv::dnn::BNLLLayer

class cv::dnn::Cast2Layer

class cv::dnn::CastLayer

class cv::dnn::CeilLayer

class cv::dnn::CeluLayer

class cv::dnn::CenterCropPadLayer

class cv::dnn::ChannelsPReLULayer

class cv::dnn::ClipLayer

class cv::dnn::CompareLayer

class cv::dnn::Concat2Layer

class cv::dnn::ConcatLayer

class cv::dnn::ConstantOfShapeLayer

class cv::dnn::ConstLayer

class cv::dnn::Conv2Int8Layer

struct cv::dnn::Conv2Int8Params

class cv::dnn::Conv2Layer

class cv::dnn::ConvolutionLayer

class cv::dnn::ConvolutionLayerInt8

class cv::dnn::ConvTranspose2Layer

class cv::dnn::CorrelationLayer

class cv::dnn::CoshLayer

class cv::dnn::CosLayer

class cv::dnn::CropAndResizeLayer

class cv::dnn::CropLayer

class cv::dnn::CumSumLayer

class cv::dnn::DataAugmentationLayer

class cv::dnn::DeconvolutionLayer

class cv::dnn::DepthToSpaceLayer

class cv::dnn::DequantizeLayer

class cv::dnn::DequantizeLinearLayer

class cv::dnn::DetectionOutputLayer

Detection output layer. More…

class cv::dnn::DetLayer

class cv::dnn::DFTLayer

class cv::dnn::EinsumLayer

This function performs array summation based on the Einstein summation convention. The function allows for concise expressions of various mathematical operations using subscripts. More…

class cv::dnn::Eltwise2Int8Layer

struct cv::dnn::Eltwise2Int8Params

class cv::dnn::EltwiseLayer

Element wise operation on inputs. More…

class cv::dnn::EltwiseLayerInt8

class cv::dnn::ELULayer

class cv::dnn::ErfLayer

class cv::dnn::Expand2Layer

class cv::dnn::ExpandLayer

class cv::dnn::ExpLayer

class cv::dnn::EyeLikeLayer

class cv::dnn::FlattenLayer

class cv::dnn::FloorLayer

class cv::dnn::FlowWarpLayer

class cv::dnn::Gather2Layer

class cv::dnn::GatherElementsLayer

GatherElements layer GatherElements takes two inputs data and indices of the same rank r >= 1 and an optional attribute axis and works such that: output[i][j][k] = data[index[i][j][k]][j][k] if axis = 0 and r = 3 output[i][j][k] = data[i][index[i][j][k]][k] if axis = 1 and r = 3 output[i][j][k] = data[i][j][index[i][j][k]] if axis = 2 and r = 3. More…

class cv::dnn::GatherLayer

Gather layer. More…

class cv::dnn::GatherNDLayer

GatherND layer. More…

class cv::dnn::GeluApproximationLayer

class cv::dnn::GeluLayer

class cv::dnn::GemmLayer

class cv::dnn::GlobalAveragePoolLayer

class cv::dnn::GridSampleLayer

class cv::dnn::GroupNormLayer

class cv::dnn::GRULayer

GRU recurrent one-layer. More…

class cv::dnn::HammingWindowLayer

class cv::dnn::HannWindowLayer

class cv::dnn::HardmaxLayer

class cv::dnn::HardSigmoidLayer

class cv::dnn::HardSwishLayer

class cv::dnn::IfLayer

struct cv::dnn::InnerProductInt8Params

class cv::dnn::InnerProductLayer

class cv::dnn::InnerProductLayerInt8

class cv::dnn::InstanceNormLayer

class cv::dnn::InterpLayer

Bilinear resize layer from cdmh/deeplab-public-ver2. More…

class cv::dnn::IsInfLayer

class cv::dnn::IsNaNLayer

class cv::dnn::LayerNorm2Layer

class cv::dnn::LayerNormLayer

class cv::dnn::LogLayer

class cv::dnn::LoopLayer

class cv::dnn::LRNLayer

class cv::dnn::LSTM2Layer

class cv::dnn::LSTMLayer

LSTM recurrent layer. More…

class cv::dnn::MatMulInt8Layer

struct cv::dnn::MatMulInt8Params

class cv::dnn::MatMulLayer

class cv::dnn::MaxPoolLayer

class cv::dnn::MaxUnpoolLayer

class cv::dnn::MishLayer

class cv::dnn::MVNLayer

class cv::dnn::NaryEltwiseLayer

class cv::dnn::NegativeLogLikelihoodLossLayer

class cv::dnn::NonMaxSuppressionLayer

class cv::dnn::NonZeroLayer

class cv::dnn::NormalizeBBoxLayer

\( L_p \) - normalization layer. More…

class cv::dnn::NotLayer

class cv::dnn::OneHotLayer

class cv::dnn::Pad2Layer

class cv::dnn::PaddingLayer

Adds extra values for specific axes. More…

class cv::dnn::PermuteLayer

class cv::dnn::Pool2Int8Layer

struct cv::dnn::Pool2Int8Params

class cv::dnn::PoolingLayer

class cv::dnn::PoolingLayerInt8

class cv::dnn::PowerLayer

class cv::dnn::PriorBoxLayer

class cv::dnn::ProposalLayer

class cv::dnn::QuantizeLayer

class cv::dnn::QuantizeLinearLayer

class cv::dnn::RandomNormalLikeLayer

class cv::dnn::RangeLayer

class cv::dnn::ReciprocalLayer

class cv::dnn::Reduce2Layer

class cv::dnn::ReduceLayer

class cv::dnn::RegionLayer

class cv::dnn::ReLU6Layer

class cv::dnn::ReLULayer

class cv::dnn::ReorgLayer

class cv::dnn::RequantizeLayer

class cv::dnn::Reshape2Layer

class cv::dnn::ReshapeLayer

class cv::dnn::Resize2Layer

class cv::dnn::ResizeLayer

Resize input 4-dimensional blob by nearest neighbor or bilinear strategy. More…

class cv::dnn::RMSNormLayer

class cv::dnn::RNNLayer

Classical recurrent layer. More…

class cv::dnn::RoiAlignLayer

class cv::dnn::RotaryEmbeddingLayer

class cv::dnn::RoundLayer

class cv::dnn::ScaleLayer

class cv::dnn::ScaleLayerInt8

class cv::dnn::ScatterLayer

class cv::dnn::ScatterNDLayer

class cv::dnn::SDPALayer

class cv::dnn::SeluLayer

class cv::dnn::ShapeLayer

class cv::dnn::ShiftLayer

class cv::dnn::ShiftLayerInt8

class cv::dnn::ShrinkLayer

class cv::dnn::ShuffleChannelLayer

class cv::dnn::SigmoidLayer

class cv::dnn::SignLayer

class cv::dnn::SinhLayer

class cv::dnn::SinLayer

class cv::dnn::SizeLayer

class cv::dnn::Slice2Layer

class cv::dnn::SliceLayer

class cv::dnn::SoftmaxCrossEntropyLossLayer

class cv::dnn::SoftmaxLayer

class cv::dnn::SoftmaxLayerInt8

class cv::dnn::SoftplusLayer

class cv::dnn::SoftsignLayer

class cv::dnn::SpaceToDepthLayer

class cv::dnn::Split2Layer

class cv::dnn::SplitLayer

class cv::dnn::SqrtLayer

class cv::dnn::SqueezeLayer

class cv::dnn::SwishLayer

class cv::dnn::TanHLayer

class cv::dnn::TanLayer

class cv::dnn::ThresholdedReluLayer

class cv::dnn::Tile2Layer

class cv::dnn::TileLayer

class cv::dnn::TopK2Layer

class cv::dnn::TopKLayer

class cv::dnn::TransformLayoutLayer

class cv::dnn::TransposeLayer

class cv::dnn::TriluLayer

class cv::dnn::UniqueLayer

class cv::dnn::UnsqueezeLayer

Namespaces

namespace cv

namespace cv::dnn

Enumerations

enum cv::dnn::ActivationType {
ACTIV_NONE = 0,
ACTIV_MISH,
ACTIV_SWISH,
ACTIV_SIGMOID,
ACTIV_TANH,
ACTIV_ELU,
ACTIV_HARDSWISH,
ACTIV_HARDSIGMOID,
ACTIV_GELU,
ACTIV_GELU_APPROX,
ACTIV_RELU,
ACTIV_CLIP
}

enum cv::dnn::AutoPadding {
AUTO_PAD_NONE = 0,
AUTO_PAD_SAME_UPPER = 1,
AUTO_PAD_SAME_LOWER = 2,
AUTO_PAD_VALID = 3
}

enum cv::dnn::LossReduction {
LOSS_REDUCTION_NONE = 0,
LOSS_REDUCTION_MEAN = 1,
LOSS_REDUCTION_SUM = 2
}

Functions

ActivationFunc cv::dnn::getActivationFunc (int activationType)