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https://github.com/opencv/opencv_contrib.git
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Added Torch ENet support
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@@ -1,5 +1,6 @@
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#include "../precomp.hpp"
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#include "elementwise_layers.hpp"
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#include "opencv2/imgproc.hpp"
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namespace cv
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{
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@@ -42,5 +43,45 @@ Ptr<PowerLayer> PowerLayer::create(double power /*= 1*/, double scale /*= 1*/, d
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return Ptr<PowerLayer>(new ElementWiseLayer<PowerFunctor>(f));
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}
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////////////////////////////////////////////////////////////////////////////
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void ChannelsPReLULayerImpl::allocate(const std::vector<Blob*> &inputs, std::vector<Blob> &outputs)
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{
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CV_Assert(blobs.size() == 1);
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outputs.resize(inputs.size());
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for (size_t i = 0; i < inputs.size(); i++)
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{
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outputs[i].create(inputs[i]->shape());
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}
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}
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void ChannelsPReLULayerImpl::forward(std::vector<Blob*> &inputs, std::vector<Blob> &outputs)
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{
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CV_Assert(inputs.size() == 1);
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Blob &inpBlob = *inputs[0];
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for (size_t ii = 0; ii < outputs.size(); ii++)
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{
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Blob &outBlob = outputs[ii];
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CV_Assert(blobs[0].total() == inpBlob.channels());
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for (int n = 0; n < inpBlob.channels(); n++)
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{
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float slopeWeight = blobs[0].matRefConst().at<float>(n);
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cv::threshold(inpBlob.getPlane(0, n), outBlob.getPlane(0, n), 0, 0, cv::THRESH_TOZERO_INV);
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outBlob.getPlane(0, n) = inpBlob.getPlane(0, n) + (slopeWeight - 1)*outBlob.getPlane(0, n);
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}
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}
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}
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Ptr<ChannelsPReLULayer> ChannelsPReLULayer::create()
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{
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return Ptr<ChannelsPReLULayer>(new ChannelsPReLULayerImpl());
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}
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}
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}
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}
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