@Namespace(value="cv::dnn") @Properties(inherit=opencv_dnn.class) public class BlankLayer extends Layer
/** \defgroup dnnLayerList Partial List of Implemented Layers \{ This subsection of dnn module contains information about built-in layers and their descriptions.
Classes listed here, in fact, provides C++ API for creating instances of built-in layers. In addition to this way of layers instantiation, there is a more common factory API (see \ref dnnLayerFactory), it allows to create layers dynamically (by name) and register new ones. You can use both API, but factory API is less convenient for native C++ programming and basically designed for use inside importers (see \ref readNetFromCaffe(), \ref readNetFromTorch(), \ref readNetFromTensorflow()).
Built-in layers partially reproduce functionality of corresponding Caffe and Torch7 layers. In particular, the following layers and Caffe importer were tested to reproduce Caffe functionality: - Convolution - Deconvolution - Pooling - InnerProduct - TanH, ReLU, Sigmoid, BNLL, Power, AbsVal - Softmax - Reshape, Flatten, Slice, Split - LRN - MVN - Dropout (since it does nothing on forward pass -))
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
|---|
BlankLayer(Pointer p)
Pointer cast constructor.
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| Modifier and Type | Method and Description |
|---|---|
static Layer |
create(LayerParams params) |
applyHalideScheduler, blobs, blobs, finalize, finalize, finalize, finalize, finalize, forward_fallback, forward_fallback, forward_fallback, forward, forward, forward, forward, getFLOPS, getMemoryShapes, getScaleShift, inputNameToIndex, inputNameToIndex, name, name, outputNameToIndex, outputNameToIndex, position, preferableTarget, preferableTarget, run, setActivation, setParamsFrom, supportBackend, tryAttach, tryFuse, type, type, unsetAttachedclear, empty, getDefaultName, read, save, save, write, write, writeaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic BlankLayer(Pointer p)
Pointer.Pointer(Pointer).@opencv_core.Ptr public static Layer create(@Const @ByRef LayerParams params)
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