opencv/modules/dnn/src/init.cpp
David 7175f257b5 Added ResizeBilinear op for tf (#11050)
* Added ResizeBilinear op for tf

Combined ResizeNearestNeighbor and ResizeBilinear layers into Resize (with an interpolation param).

Minor changes to tf_importer and resize layer to save some code lines

Minor changes in init.cpp

Minor changes in tf_importer.cpp

* Replaced implementation of a custom ResizeBilinear layer to all layers

* Use Mat::ptr. Replace interpolation flags
2018-06-07 16:29:04 +03:00

135 lines
5.8 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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#include "precomp.hpp"
#include <opencv2/dnn/layer.details.hpp>
#include <google/protobuf/stubs/common.h>
namespace cv {
namespace dnn {
CV__DNN_EXPERIMENTAL_NS_BEGIN
static Mutex* __initialization_mutex = NULL;
Mutex& getInitializationMutex()
{
if (__initialization_mutex == NULL)
__initialization_mutex = new Mutex();
return *__initialization_mutex;
}
// force initialization (single-threaded environment)
Mutex* __initialization_mutex_initializer = &getInitializationMutex();
namespace {
using namespace google::protobuf;
class ProtobufShutdown {
public:
bool initialized;
ProtobufShutdown() : initialized(true) {}
~ProtobufShutdown()
{
initialized = false;
google::protobuf::ShutdownProtobufLibrary();
}
};
} // namespace
void initializeLayerFactory()
{
CV_TRACE_FUNCTION();
static ProtobufShutdown protobufShutdown; (void)protobufShutdown;
CV_DNN_REGISTER_LAYER_CLASS(Slice, SliceLayer);
CV_DNN_REGISTER_LAYER_CLASS(Split, SplitLayer);
CV_DNN_REGISTER_LAYER_CLASS(Concat, ConcatLayer);
CV_DNN_REGISTER_LAYER_CLASS(Reshape, ReshapeLayer);
CV_DNN_REGISTER_LAYER_CLASS(Flatten, FlattenLayer);
CV_DNN_REGISTER_LAYER_CLASS(Resize, ResizeLayer);
CV_DNN_REGISTER_LAYER_CLASS(CropAndResize, CropAndResizeLayer);
CV_DNN_REGISTER_LAYER_CLASS(Convolution, ConvolutionLayer);
CV_DNN_REGISTER_LAYER_CLASS(Deconvolution, DeconvolutionLayer);
CV_DNN_REGISTER_LAYER_CLASS(Pooling, PoolingLayer);
CV_DNN_REGISTER_LAYER_CLASS(ROIPooling, PoolingLayer);
CV_DNN_REGISTER_LAYER_CLASS(PSROIPooling, PoolingLayer);
CV_DNN_REGISTER_LAYER_CLASS(LRN, LRNLayer);
CV_DNN_REGISTER_LAYER_CLASS(InnerProduct, InnerProductLayer);
CV_DNN_REGISTER_LAYER_CLASS(Softmax, SoftmaxLayer);
CV_DNN_REGISTER_LAYER_CLASS(MVN, MVNLayer);
CV_DNN_REGISTER_LAYER_CLASS(ReLU, ReLULayer);
CV_DNN_REGISTER_LAYER_CLASS(ReLU6, ReLU6Layer);
CV_DNN_REGISTER_LAYER_CLASS(ChannelsPReLU, ChannelsPReLULayer);
CV_DNN_REGISTER_LAYER_CLASS(PReLU, ChannelsPReLULayer);
CV_DNN_REGISTER_LAYER_CLASS(Sigmoid, SigmoidLayer);
CV_DNN_REGISTER_LAYER_CLASS(TanH, TanHLayer);
CV_DNN_REGISTER_LAYER_CLASS(ELU, ELULayer);
CV_DNN_REGISTER_LAYER_CLASS(BNLL, BNLLLayer);
CV_DNN_REGISTER_LAYER_CLASS(AbsVal, AbsLayer);
CV_DNN_REGISTER_LAYER_CLASS(Power, PowerLayer);
CV_DNN_REGISTER_LAYER_CLASS(BatchNorm, BatchNormLayer);
CV_DNN_REGISTER_LAYER_CLASS(MaxUnpool, MaxUnpoolLayer);
CV_DNN_REGISTER_LAYER_CLASS(Dropout, BlankLayer);
CV_DNN_REGISTER_LAYER_CLASS(Identity, BlankLayer);
CV_DNN_REGISTER_LAYER_CLASS(Silence, BlankLayer);
CV_DNN_REGISTER_LAYER_CLASS(Crop, CropLayer);
CV_DNN_REGISTER_LAYER_CLASS(Eltwise, EltwiseLayer);
CV_DNN_REGISTER_LAYER_CLASS(Permute, PermuteLayer);
CV_DNN_REGISTER_LAYER_CLASS(PriorBox, PriorBoxLayer);
CV_DNN_REGISTER_LAYER_CLASS(PriorBoxClustered, PriorBoxLayer);
CV_DNN_REGISTER_LAYER_CLASS(Reorg, ReorgLayer);
CV_DNN_REGISTER_LAYER_CLASS(Region, RegionLayer);
CV_DNN_REGISTER_LAYER_CLASS(DetectionOutput, DetectionOutputLayer);
CV_DNN_REGISTER_LAYER_CLASS(NormalizeBBox, NormalizeBBoxLayer);
CV_DNN_REGISTER_LAYER_CLASS(Normalize, NormalizeBBoxLayer);
CV_DNN_REGISTER_LAYER_CLASS(Shift, ShiftLayer);
CV_DNN_REGISTER_LAYER_CLASS(Padding, PaddingLayer);
CV_DNN_REGISTER_LAYER_CLASS(Proposal, ProposalLayer);
CV_DNN_REGISTER_LAYER_CLASS(Scale, ScaleLayer);
CV_DNN_REGISTER_LAYER_CLASS(LSTM, LSTMLayer);
}
CV__DNN_EXPERIMENTAL_NS_END
}} // namespace