| Package | Description |
|---|---|
| org.bytedeco.javacpp |
| Modifier and Type | Class and Description |
|---|---|
static class |
opencv_dnn.AbsLayer |
static class |
opencv_dnn.ActivationLayer |
static class |
opencv_dnn.BaseConvolutionLayer |
static class |
opencv_dnn.BatchNormLayer |
static class |
opencv_dnn.BlankLayer
\}
|
static class |
opencv_dnn.BNLLLayer |
static class |
opencv_dnn.ChannelsPReLULayer |
static class |
opencv_dnn.ConcatLayer |
static class |
opencv_dnn.ConvolutionLayer |
static class |
opencv_dnn.CropAndResizeLayer |
static class |
opencv_dnn.CropLayer |
static class |
opencv_dnn.DeconvolutionLayer |
static class |
opencv_dnn.DetectionOutputLayer |
static class |
opencv_dnn.EltwiseLayer |
static class |
opencv_dnn.ELULayer |
static class |
opencv_dnn.FlattenLayer |
static class |
opencv_dnn.InnerProductLayer |
static class |
opencv_dnn.InterpLayer
\brief Bilinear resize layer from https://github.com/cdmh/deeplab-public
It differs from \ref ResizeLayer in output shape and resize scales computations.
|
static class |
opencv_dnn.LRNLayer |
static class |
opencv_dnn.LSTMLayer
LSTM recurrent layer
|
static class |
opencv_dnn.MaxUnpoolLayer |
static class |
opencv_dnn.MVNLayer |
static class |
opencv_dnn.NormalizeBBoxLayer
\brief \f$ L_p \f$ - normalization layer.
|
static class |
opencv_dnn.PaddingLayer
\brief Adds extra values for specific axes.
|
static class |
opencv_dnn.PermuteLayer |
static class |
opencv_dnn.PoolingLayer |
static class |
opencv_dnn.PowerLayer |
static class |
opencv_dnn.PriorBoxLayer |
static class |
opencv_dnn.ProposalLayer |
static class |
opencv_dnn.RegionLayer |
static class |
opencv_dnn.ReLU6Layer |
static class |
opencv_dnn.ReLULayer |
static class |
opencv_dnn.ReorgLayer |
static class |
opencv_dnn.ReshapeLayer |
static class |
opencv_dnn.ResizeLayer
\brief Resize input 4-dimensional blob by nearest neighbor or bilinear strategy.
|
static class |
opencv_dnn.RNNLayer
\brief Classical recurrent layer
|
static class |
opencv_dnn.ScaleLayer |
static class |
opencv_dnn.ShiftLayer |
static class |
opencv_dnn.ShuffleChannelLayer
Permute channels of 4-dimensional input blob.
|
static class |
opencv_dnn.SigmoidLayer |
static class |
opencv_dnn.SliceLayer
Slice layer has several modes:
1.
|
static class |
opencv_dnn.SoftmaxLayer |
static class |
opencv_dnn.SplitLayer |
static class |
opencv_dnn.TanHLayer |
| Modifier and Type | Method and Description |
|---|---|
opencv_dnn.Layer |
opencv_dnn.Layer.blobs(opencv_core.MatVector blobs) |
opencv_dnn.Layer |
opencv_dnn.LayerFactory.Constructor.call(opencv_dnn.LayerParams params) |
static opencv_dnn.Layer |
opencv_dnn.BlankLayer.create(opencv_dnn.LayerParams params) |
static opencv_dnn.Layer |
opencv_dnn.ShuffleChannelLayer.create(opencv_dnn.LayerParams params) |
static opencv_dnn.Layer |
opencv_dnn.ChannelsPReLULayer.create(opencv_dnn.LayerParams params) |
static opencv_dnn.Layer |
opencv_dnn.ShiftLayer.create(opencv_dnn.LayerParams params) |
static opencv_dnn.Layer |
opencv_dnn.InterpLayer.create(opencv_dnn.LayerParams params) |
static opencv_dnn.Layer |
opencv_dnn.CropAndResizeLayer.create(opencv_dnn.LayerParams params) |
static opencv_dnn.Layer |
opencv_dnn.LayerFactory.createLayerInstance(org.bytedeco.javacpp.BytePointer type,
opencv_dnn.LayerParams params)
\brief Creates instance of registered layer.
|
static opencv_dnn.Layer |
opencv_dnn.LayerFactory.createLayerInstance(String type,
opencv_dnn.LayerParams params) |
opencv_dnn.Layer |
opencv_dnn.Net.getLayer(opencv_dnn.DictValue layerId)
\brief Returns pointer to layer with specified id or name which the network use.
|
opencv_dnn.Layer |
opencv_dnn.Layer.name(org.bytedeco.javacpp.BytePointer name) |
opencv_dnn.Layer |
opencv_dnn.Layer.preferableTarget(int preferableTarget) |
opencv_dnn.Layer |
opencv_dnn.Layer.type(org.bytedeco.javacpp.BytePointer type) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
opencv_dnn.Layer.tryFuse(opencv_dnn.Layer top)
\brief Try to fuse current layer with a next one
|
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