@Namespace(value="cv::dnn") @NoOffset public static class opencv_dnn.LRNLayer extends opencv_dnn.Layer
| Constructor and Description |
|---|
LRNLayer(org.bytedeco.javacpp.Pointer p)
Pointer cast constructor.
|
| Modifier and Type | Method and Description |
|---|---|
float |
alpha() |
opencv_dnn.LRNLayer |
alpha(float alpha) |
float |
beta() |
opencv_dnn.LRNLayer |
beta(float beta) |
float |
bias() |
opencv_dnn.LRNLayer |
bias(float bias) |
static opencv_dnn.LRNLayer |
create(opencv_dnn.LayerParams params) |
int |
lrnType() |
opencv_dnn.LRNLayer |
lrnType(int lrnType) |
boolean |
normBySize() |
opencv_dnn.LRNLayer |
normBySize(boolean normBySize) |
int |
size() |
opencv_dnn.LRNLayer |
size(int size) |
applyHalideScheduler, blobs, blobs, finalize, finalize, finalize, forward_fallback, forward_fallback, forward_fallback, forward, forward, forward, forward, getFLOPS, getMemoryShapes, getScaleShift, inputNameToIndex, inputNameToIndex, name, name, outputNameToIndex, outputNameToIndex, preferableTarget, preferableTarget, run, setActivation, setParamsFrom, supportBackend, tryAttach, tryFuse, type, type, unsetAttachedclear, empty, getDefaultName, position, read, save, save, write, write, writeaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zeropublic LRNLayer(org.bytedeco.javacpp.Pointer p)
Pointer.Pointer(Pointer).@Name(value="type") public int lrnType()
public opencv_dnn.LRNLayer lrnType(int lrnType)
public int size()
public opencv_dnn.LRNLayer size(int size)
public float alpha()
public opencv_dnn.LRNLayer alpha(float alpha)
public float beta()
public opencv_dnn.LRNLayer beta(float beta)
public float bias()
public opencv_dnn.LRNLayer bias(float bias)
@Cast(value="bool") public boolean normBySize()
public opencv_dnn.LRNLayer normBySize(boolean normBySize)
@opencv_core.Ptr public static opencv_dnn.LRNLayer create(@Const @ByRef opencv_dnn.LayerParams params)
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