Package | Description |
---|---|
org.bytedeco.opencv.opencv_dnn |
Modifier and Type | Class and Description |
---|---|
class |
AbsLayer |
class |
ActivationLayer |
class |
BaseConvolutionLayer |
class |
BatchNormLayer |
class |
BlankLayer
\addtogroup dnn
\{
|
class |
BNLLLayer |
class |
ChannelsPReLULayer |
class |
ConcatLayer |
class |
ConstLayer
Constant layer produces the same data blob at an every forward pass.
|
class |
ConvolutionLayer |
class |
CropAndResizeLayer |
class |
CropLayer |
class |
DeconvolutionLayer |
class |
DetectionOutputLayer |
class |
EltwiseLayer
\brief Element wise operation on inputs
|
class |
ELULayer |
class |
FlattenLayer |
class |
InnerProductLayer |
class |
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.
|
class |
LRNLayer |
class |
LSTMLayer
LSTM recurrent layer
|
class |
MaxUnpoolLayer |
class |
MishLayer |
class |
MVNLayer |
class |
NormalizeBBoxLayer
\brief
L_p - normalization layer. |
class |
PaddingLayer
\brief Adds extra values for specific axes.
|
class |
PermuteLayer |
class |
PoolingLayer |
class |
PowerLayer |
class |
PriorBoxLayer |
class |
ProposalLayer |
class |
RegionLayer |
class |
ReLU6Layer |
class |
ReLULayer |
class |
ReorgLayer |
class |
ReshapeLayer |
class |
ResizeLayer
\brief Resize input 4-dimensional blob by nearest neighbor or bilinear strategy.
|
class |
RNNLayer
\brief Classical recurrent layer
|
class |
ScaleLayer |
class |
ShiftLayer |
class |
ShuffleChannelLayer
Permute channels of 4-dimensional input blob.
|
class |
SigmoidLayer |
class |
SliceLayer
Slice layer has several modes:
1.
|
class |
SoftmaxLayer |
class |
SplitLayer |
class |
SwishLayer |
class |
TanHLayer |
Modifier and Type | Method and Description |
---|---|
Layer |
Layer.blobs(MatVector setter) |
Layer |
LayerFactory.Constructor.call(LayerParams params) |
static Layer |
ShiftLayer.create(LayerParams params) |
static Layer |
ConstLayer.create(LayerParams params) |
static Layer |
ShuffleChannelLayer.create(LayerParams params) |
static Layer |
BlankLayer.create(LayerParams params) |
static Layer |
InterpLayer.create(LayerParams params) |
static Layer |
ChannelsPReLULayer.create(LayerParams params) |
static Layer |
CropAndResizeLayer.create(LayerParams params) |
static Layer |
CropLayer.create(LayerParams params) |
static Layer |
LayerFactory.createLayerInstance(BytePointer type,
LayerParams params)
\brief Creates instance of registered layer.
|
static Layer |
LayerFactory.createLayerInstance(String type,
LayerParams params) |
Layer |
Net.getLayer(DictValue layerId)
\brief Returns pointer to layer with specified id or name which the network use.
|
Layer |
Layer.name(BytePointer setter) |
Layer |
Layer.position(long position) |
Layer |
Layer.preferableTarget(int setter) |
Layer |
Layer.type(BytePointer setter) |
Modifier and Type | Method and Description |
---|---|
boolean |
Layer.tryFuse(Layer top)
\brief Try to fuse current layer with a next one
|
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