OpenCV  4.10.0-dev
Open Source Computer Vision
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Classes | Namespaces
all_layers.hpp File Reference
#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
 
class  cv::dnn::ActivationLayer
 
class  cv::dnn::ActivationLayerInt8
 
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::BaseConvolutionLayer
 
class  cv::dnn::BatchNormLayer
 
class  cv::dnn::BatchNormLayerInt8
 
class  cv::dnn::BlankLayer
 
class  cv::dnn::BNLLLayer
 
class  cv::dnn::CeilLayer
 
class  cv::dnn::CeluLayer
 
class  cv::dnn::ChannelsPReLULayer
 
class  cv::dnn::CompareLayer
 
class  cv::dnn::ConcatLayer
 
class  cv::dnn::ConstLayer
 
class  cv::dnn::ConvolutionLayer
 
class  cv::dnn::ConvolutionLayerInt8
 
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::DetectionOutputLayer
 Detection output layer. More...
 
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::EltwiseLayer
 Element wise operation on inputs. More...
 
class  cv::dnn::EltwiseLayerInt8
 
class  cv::dnn::ELULayer
 
class  cv::dnn::ErfLayer
 
class  cv::dnn::ExpandLayer
 
class  cv::dnn::ExpLayer
 
class  cv::dnn::FlattenLayer
 
class  cv::dnn::FloorLayer
 
class  cv::dnn::FlowWarpLayer
 
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::GeluApproximationLayer
 
class  cv::dnn::GeluLayer
 
class  cv::dnn::GemmLayer
 
class  cv::dnn::GroupNormLayer
 
class  cv::dnn::GRULayer
 GRU recurrent one-layer. More...
 
class  cv::dnn::HardSigmoidLayer
 
class  cv::dnn::HardSwishLayer
 
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::LayerNormLayer
 
class  cv::dnn::LogLayer
 
class  cv::dnn::LRNLayer
 
class  cv::dnn::LSTMLayer
 LSTM recurrent layer. More...
 
class  cv::dnn::MatMulLayer
 
class  cv::dnn::MaxUnpoolLayer
 
class  cv::dnn::MishLayer
 
class  cv::dnn::MVNLayer
 
class  cv::dnn::NaryEltwiseLayer
 
class  cv::dnn::NormalizeBBoxLayer
 \( L_p \) - normalization layer. More...
 
class  cv::dnn::NotLayer
 
class  cv::dnn::PaddingLayer
 Adds extra values for specific axes. More...
 
class  cv::dnn::PermuteLayer
 
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::ReciprocalLayer
 
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::ReshapeLayer
 
class  cv::dnn::ResizeLayer
 Resize input 4-dimensional blob by nearest neighbor or bilinear strategy. More...
 
class  cv::dnn::RNNLayer
 Classical recurrent layer. More...
 
class  cv::dnn::RoundLayer
 
class  cv::dnn::ScaleLayer
 
class  cv::dnn::ScaleLayerInt8
 
class  cv::dnn::ScatterLayer
 
class  cv::dnn::ScatterNDLayer
 
class  cv::dnn::SeluLayer
 
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::SliceLayer
 
class  cv::dnn::SoftmaxLayer
 
class  cv::dnn::SoftmaxLayerInt8
 
class  cv::dnn::SoftplusLayer
 
class  cv::dnn::SoftsignLayer
 
class  cv::dnn::SpaceToDepthLayer
 
class  cv::dnn::SplitLayer
 
class  cv::dnn::SqrtLayer
 
class  cv::dnn::SwishLayer
 
class  cv::dnn::TanHLayer
 
class  cv::dnn::TanLayer
 
class  cv::dnn::ThresholdedReluLayer
 
class  cv::dnn::TileLayer
 
class  cv::dnn::TopKLayer
 

Namespaces

namespace  cv
 
namespace  cv::dnn