Class | Description |
---|---|
_Range | |
AbsLayer | |
AccumLayer | |
AcoshLayer | |
AcosLayer | |
ActivationLayer | |
ActivationLayerInt8 | |
ArgLayer |
\brief ArgMax/ArgMin layer
\note returns indices as floats, which means the supported range is [-2^24; 2^24]
|
AsinhLayer | |
AsinLayer | |
AtanhLayer | |
AtanLayer | |
BackendNode |
\brief Derivatives of this class encapsulates functions of certain backends.
|
BackendWrapper |
\brief Derivatives of this class wraps cv::Mat for different backends and targets.
|
BaseConvolutionLayer | |
BatchNormLayer | |
BatchNormLayerInt8 | |
BlankLayer |
\addtogroup dnn
\{
|
BNLLLayer | |
CeilLayer | |
CeluLayer | |
ChannelsPReLULayer | |
ClassificationModel |
\brief 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 | |
CoshLayer | |
CosLayer | |
CropAndResizeLayer | |
CropLayer | |
CumSumLayer | |
DataAugmentationLayer | |
DeconvolutionLayer | |
DequantizeLayer | |
DetectionModel |
\brief This class represents high-level API for object detection networks.
|
DetectionOutputLayer |
\brief Detection output layer.
|
Dict |
\brief This class implements name-value dictionary, values are instances of DictValue.
|
DictValue |
\addtogroup dnn
\{
|
DnnNetAccessor | |
EltwiseLayer |
\brief Element wise operation on inputs
|
EltwiseLayerInt8 | |
ELULayer | |
ErfLayer | |
ExpLayer | |
FlattenLayer | |
FloorLayer | |
FlowWarpLayer | |
GatherLayer |
\brief Gather layer
|
GRULayer |
\brief GRU recurrent one-layer
Accepts input sequence and computes the final hidden state for each element in the batch.
|
HardSigmoidLayer | |
HardSwishLayer | |
InnerProductLayer | |
InnerProductLayerInt8 | |
InterpLayer |
\brief Bilinear resize layer from https://github.com/cdmh/deeplab-public-ver2
It differs from \ref ResizeLayer in output shape and resize scales computations.
|
IntFloatPair | |
KeypointsModel |
\brief This class represents high-level API for keypoints models
KeypointsModel allows to set params for preprocessing input image.
|
Layer |
\brief This interface class allows to build new Layers - are building blocks of networks.
|
LayerFactory |
\addtogroup dnn
\{
\defgroup dnnLayerFactory Utilities for New Layers Registration
\{
|
LayerFactory.Constructor |
Each Layer class must provide this function to the factory
|
LayerParams |
\brief This class provides all data needed to initialize layer.
|
LogLayer | |
LRNLayer | |
LSTMLayer |
LSTM recurrent layer
|
MatPointerVector | |
MatPointerVector.Iterator | |
MatShapeVector | |
MatShapeVector.Iterator | |
MatShapeVectorVector | |
MatShapeVectorVector.Iterator | |
MaxUnpoolLayer | |
MishLayer | |
Model |
\brief This class is presented high-level API for neural networks.
|
Model.Impl | |
MVNLayer | |
NaryEltwiseLayer | |
Net |
\brief This class allows to create and manipulate comprehensive artificial neural networks.
|
Net.Impl | |
NormalizeBBoxLayer |
\brief
L_p - normalization layer. |
NotLayer | |
PaddingLayer |
\brief Adds extra values for specific axes.
|
PermuteLayer | |
PoolingLayer | |
PoolingLayerInt8 | |
PowerLayer | |
PriorBoxLayer | |
ProposalLayer | |
QuantizeLayer | |
RangeVectorVector | |
ReciprocalLayer | |
ReduceLayer | |
ReduceLayerInt8 | |
RegionLayer | |
ReLU6Layer | |
ReLULayer | |
ReorgLayer | |
RequantizeLayer | |
ReshapeLayer | |
ResizeLayer |
\brief Resize input 4-dimensional blob by nearest neighbor or bilinear strategy.
|
RNNLayer |
\brief Classical recurrent layer
|
RoundLayer | |
ScaleLayer | |
ScaleLayerInt8 | |
ScatterLayer | |
ScatterNDLayer | |
SegmentationModel |
\brief This class represents high-level API for segmentation models
SegmentationModel allows to set params for preprocessing input image.
|
SeluLayer | |
ShiftLayer | |
ShiftLayerInt8 | |
ShrinkLayer | |
ShuffleChannelLayer |
Permute channels of 4-dimensional input blob.
|
SigmoidLayer | |
SignLayer | |
SinhLayer | |
SinLayer | |
SliceLayer |
Slice layer has several modes:
1.
|
SoftmaxLayer | |
SoftmaxLayerInt8 | |
SoftplusLayer | |
SoftsignLayer | |
SplitLayer | |
SqrtLayer | |
SwishLayer | |
TanHLayer | |
TanLayer | |
TextDetectionModel |
\brief Base class for text detection networks
|
TextDetectionModel_DB |
\brief This class represents high-level API for text detection DL networks compatible with DB model.
|
TextDetectionModel_EAST |
\brief This class represents high-level API for text detection DL networks compatible with EAST model.
|
TextRecognitionModel |
\brief This class represents high-level API for text recognition networks.
|
ThresholdedReluLayer | |
TileLayer |
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