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PReLU layer from Caffe
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@@ -216,7 +216,7 @@ public:
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shape.push_back((int)_shape.dim(i));
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}
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else
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CV_Error(Error::StsError, "Unknown shape of input blob");
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shape.resize(1, 1); // Is a scalar.
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}
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void blobFromProto(const caffe::BlobProto &pbBlob, cv::Mat &dstBlob)
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@@ -274,9 +274,9 @@ public:
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struct BlobNote
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{
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BlobNote(const std::string &_name, int _layerId, int _outNum) :
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name(_name.c_str()), layerId(_layerId), outNum(_outNum) {}
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name(_name), layerId(_layerId), outNum(_outNum) {}
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const char *name;
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std::string name;
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int layerId, outNum;
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};
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@@ -97,6 +97,7 @@ void initializeLayerFactory()
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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);
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CV_DNN_REGISTER_LAYER_CLASS(TanH, TanHLayer);
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CV_DNN_REGISTER_LAYER_CLASS(ELU, ELULayer);
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@@ -754,8 +754,15 @@ Ptr<PowerLayer> PowerLayer::create(const LayerParams& params)
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return l;
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}
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Ptr<ChannelsPReLULayer> ChannelsPReLULayer::create(const LayerParams& params)
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Ptr<Layer> ChannelsPReLULayer::create(const LayerParams& params)
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{
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CV_Assert(params.blobs.size() == 1);
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if (params.blobs[0].total() == 1)
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{
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LayerParams reluParams = params;
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reluParams.set("negative_slope", params.blobs[0].at<float>(0));
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return ReLULayer::create(reluParams);
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}
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Ptr<ChannelsPReLULayer> l(new ElementWiseLayer<ChannelsPReLUFunctor>(ChannelsPReLUFunctor(params.blobs[0])));
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l->setParamsFrom(params);
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