[−][src]Module opencv::dnn::prelude
Traits
| AbsLayer | |
| AccumLayerTrait | |
| ActivationLayer | |
| BNLLLayer | |
| BackendNodeTrait | Derivatives of this class encapsulates functions of certain backends. |
| BackendWrapper | Derivatives of this class wraps cv::Mat for different backends and targets. |
| BaseConvolutionLayerTrait | |
| BatchNormLayer | |
| BlankLayerTrait | Partial List of Implemented Layers |
| ChannelsPReLULayer | |
| ClassificationModelTrait | This class represents high-level API for classification models. |
| ConcatLayerTrait | |
| ConstLayerTrait | Constant layer produces the same data blob at an every forward pass. |
| ConvolutionLayerTrait | |
| CorrelationLayerTrait | |
| CropAndResizeLayerTrait | |
| CropLayerTrait | |
| DataAugmentationLayerTrait | |
| DeconvolutionLayerTrait | |
| DetectionModelTrait | This class represents high-level API for object detection networks. |
| DetectionOutputLayerTrait | Detection output layer. |
| DictTrait | This class implements name-value dictionary, values are instances of DictValue. |
| DictValueTrait | This struct stores the scalar value (or array) of one of the following type: double, cv::String or int64. @todo Maybe int64 is useless because double type exactly stores at least 2^52 integers. |
| ELULayer | |
| EltwiseLayerTrait | Element wise operation on inputs |
| FlattenLayerTrait | |
| FlowWarpLayerTrait | |
| InnerProductLayerTrait | |
| InterpLayerTrait | Bilinear resize layer from https://github.com/cdmh/deeplab-public-ver2 |
| KeypointsModelTrait | This class represents high-level API for keypoints models |
| LRNLayerTrait | |
| LSTMLayer | LSTM recurrent layer |
| LayerFactoryTrait | %Layer factory allows to create instances of registered layers. |
| LayerParamsTrait | This class provides all data needed to initialize layer. |
| LayerTrait | This interface class allows to build new Layers - are building blocks of networks. |
| MVNLayerTrait | |
| MaxUnpoolLayerTrait | |
| MishLayer | |
| ModelTrait | This class is presented high-level API for neural networks. |
| NetTrait | This class allows to create and manipulate comprehensive artificial neural networks. |
| NormalizeBBoxLayerTrait |
inline formula - normalization layer. |
| PaddingLayerTrait | Adds extra values for specific axes. |
| PermuteLayerTrait | |
| PoolingLayerTrait | |
| PowerLayer | |
| PriorBoxLayerTrait | |
| ProposalLayerTrait | |
| RNNLayer | Classical recurrent layer |
| ReLU6Layer | |
| ReLULayer | |
| RegionLayerTrait | |
| ReorgLayerTrait | |
| ReshapeLayerTrait | |
| ResizeLayerTrait | Resize input 4-dimensional blob by nearest neighbor or bilinear strategy. |
| ScaleLayerTrait | |
| SegmentationModelTrait | This class represents high-level API for segmentation models |
| ShiftLayerTrait | |
| ShuffleChannelLayerTrait | Permute channels of 4-dimensional input blob. |
| SigmoidLayer | |
| SliceLayerTrait | Slice layer has several modes: |
| SoftmaxLayerTrait | |
| SplitLayerTrait | |
| SwishLayer | |
| TanHLayer | |
| TextDetectionModelTrait | Base class for text detection networks |
| TextDetectionModel_DBTrait | This class represents high-level API for text detection DL networks compatible with DB model. |
| TextDetectionModel_EASTTrait | This class represents high-level API for text detection DL networks compatible with EAST model. |
| TextRecognitionModelTrait | This class represents high-level API for text recognition networks. |
| _RangeTrait |