opencv/modules/dnn/src/init.cpp

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/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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// Redistribution and use in source and binary forms, with or without modification,
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// this list of conditions and the following disclaimer.
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#include "precomp.hpp"
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#include <opencv2/dnn/layer.details.hpp>
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#include <google/protobuf/stubs/common.h>
namespace cv {
namespace dnn {
CV__DNN_EXPERIMENTAL_NS_BEGIN
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static Mutex* __initialization_mutex = NULL;
Mutex& getInitializationMutex()
{
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if (__initialization_mutex == NULL)
__initialization_mutex = new Mutex();
return *__initialization_mutex;
}
// force initialization (single-threaded environment)
Mutex* __initialization_mutex_initializer = &getInitializationMutex();
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namespace {
using namespace google::protobuf;
class ProtobufShutdown {
public:
bool initialized;
ProtobufShutdown() : initialized(true) {}
~ProtobufShutdown()
{
initialized = false;
google::protobuf::ShutdownProtobufLibrary();
}
};
} // namespace
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void initializeLayerFactory()
{
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CV_TRACE_FUNCTION();
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static ProtobufShutdown protobufShutdown; (void)protobufShutdown;
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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);
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CV_DNN_REGISTER_LAYER_CLASS(Convolution, ConvolutionLayer);
CV_DNN_REGISTER_LAYER_CLASS(Deconvolution, DeconvolutionLayer);
CV_DNN_REGISTER_LAYER_CLASS(Pooling, PoolingLayer);
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CV_DNN_REGISTER_LAYER_CLASS(ROIPooling, PoolingLayer);
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CV_DNN_REGISTER_LAYER_CLASS(PSROIPooling, PoolingLayer);
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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);
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CV_DNN_REGISTER_LAYER_CLASS(ReLU, ReLULayer);
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CV_DNN_REGISTER_LAYER_CLASS(ReLU6, ReLU6Layer);
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CV_DNN_REGISTER_LAYER_CLASS(ChannelsPReLU, ChannelsPReLULayer);
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CV_DNN_REGISTER_LAYER_CLASS(PReLU, ChannelsPReLULayer);
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CV_DNN_REGISTER_LAYER_CLASS(Sigmoid, SigmoidLayer);
CV_DNN_REGISTER_LAYER_CLASS(TanH, TanHLayer);
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CV_DNN_REGISTER_LAYER_CLASS(ELU, ELULayer);
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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);
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CV_DNN_REGISTER_LAYER_CLASS(Crop, CropLayer);
CV_DNN_REGISTER_LAYER_CLASS(Eltwise, EltwiseLayer);
CV_DNN_REGISTER_LAYER_CLASS(Permute, PermuteLayer);
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CV_DNN_REGISTER_LAYER_CLASS(ShuffleChannel, ShuffleChannelLayer);
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CV_DNN_REGISTER_LAYER_CLASS(PriorBox, PriorBoxLayer);
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CV_DNN_REGISTER_LAYER_CLASS(PriorBoxClustered, PriorBoxLayer);
CV_DNN_REGISTER_LAYER_CLASS(Reorg, ReorgLayer);
CV_DNN_REGISTER_LAYER_CLASS(Region, RegionLayer);
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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);
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CV_DNN_REGISTER_LAYER_CLASS(Proposal, ProposalLayer);
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CV_DNN_REGISTER_LAYER_CLASS(Scale, ScaleLayer);
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CV_DNN_REGISTER_LAYER_CLASS(LSTM, LSTMLayer);
}
CV__DNN_EXPERIMENTAL_NS_END
}} // namespace