all_layers.hpp File Reference

#include <opencv2/dnn.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 https://github.com/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

Typedefs
typedef void(*	cv::dnn::ActivationFunc) (const void *input, void *output, size_t len, const float *params)

Enumerations
enum	cv::dnn::ActivationType {   cv::dnn::ACTIV_NONE = 0 ,   cv::dnn::ACTIV_MISH ,   cv::dnn::ACTIV_SWISH ,   cv::dnn::ACTIV_SIGMOID ,   cv::dnn::ACTIV_TANH ,   cv::dnn::ACTIV_ELU ,   cv::dnn::ACTIV_HARDSWISH ,   cv::dnn::ACTIV_HARDSIGMOID ,   cv::dnn::ACTIV_GELU ,   cv::dnn::ACTIV_GELU_APPROX ,   cv::dnn::ACTIV_RELU ,   cv::dnn::ACTIV_CLIP }
enum	cv::dnn::AutoPadding {   cv::dnn::AUTO_PAD_NONE = 0 ,   cv::dnn::AUTO_PAD_SAME_UPPER = 1 ,   cv::dnn::AUTO_PAD_SAME_LOWER = 2 ,   cv::dnn::AUTO_PAD_VALID = 3 }
enum	cv::dnn::LossReduction {   cv::dnn::LOSS_REDUCTION_NONE = 0 ,   cv::dnn::LOSS_REDUCTION_MEAN = 1 ,   cv::dnn::LOSS_REDUCTION_SUM = 2 }

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