| Package | Description |
|---|---|
| org.bytedeco.opencv.global | |
| org.bytedeco.opencv.opencv_dnn | |
| org.bytedeco.opencv.opencv_mcc |
| Class and Description |
|---|
| _Range |
| Net
\brief This class allows to create and manipulate comprehensive artificial neural networks.
|
| Class and Description |
|---|
| AbsLayer |
| AccumLayer |
| ActivationLayer |
| 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 |
| BNLLLayer |
| ConcatLayer |
| ConstLayer
Constant layer produces the same data blob at an every forward pass.
|
| CorrelationLayer |
| DataAugmentationLayer |
| 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
\{
|
| EltwiseLayer
\brief Element wise operation on inputs
|
| ELULayer |
| ExpLayer |
| FlattenLayer |
| FlowWarpLayer |
| InnerProductLayer |
| IntFloatPair |
| Layer
\brief This interface class allows to build new Layers - are building blocks of networks.
|
| LayerFactory.Constructor
Each Layer class must provide this function to the factory
|
| LayerParams
\brief This class provides all data needed to initialize layer.
|
| 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 |
| Net
\brief This class allows to create and manipulate comprehensive artificial neural networks.
|
| NormalizeBBoxLayer
\brief
L_p - normalization layer. |
| PaddingLayer
\brief Adds extra values for specific axes.
|
| PermuteLayer |
| PoolingLayer |
| PowerLayer |
| PriorBoxLayer |
| ProposalLayer |
| RangeVectorVector |
| RegionLayer |
| ReLU6Layer |
| ReLULayer |
| ReorgLayer |
| ReshapeLayer |
| ResizeLayer
\brief Resize input 4-dimensional blob by nearest neighbor or bilinear strategy.
|
| RNNLayer
\brief Classical recurrent layer
|
| ScaleLayer |
| ShuffleChannelLayer
Permute channels of 4-dimensional input blob.
|
| SigmoidLayer |
| SliceLayer
Slice layer has several modes:
1.
|
| SoftmaxLayer |
| SplitLayer |
| SwishLayer |
| TanHLayer |
| 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.
|
| Class and Description |
|---|
| Net
\brief This class allows to create and manipulate comprehensive artificial neural networks.
|
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