dnn: move module from opencv_contrib

https://github.com/opencv/opencv_contrib/tree/e6f63c7a38ca40c5dc33e38736e3027e3528d6cb/modules/dnn
2026-07-31 00:03:03 +04:00 · 2017-06-26 13:35:51 +03:00
parent ef692350e0
commit 93729784bb
143 changed files with 135205 additions and 0 deletions
@@ -0,0 +1,108 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "../precomp.hpp"
+#include "layers_common.hpp"
+#include <opencv2/dnn/shape_utils.hpp>
+
+namespace cv
+{
+namespace dnn
+{
+
+class MVNLayerImpl : public MVNLayer
+{
+public:
+    MVNLayerImpl(const LayerParams& params)
+    {
+        setParamsFrom(params);
+        normVariance = params.get<bool>("normalize_variance", true);
+        acrossChannels = params.get<bool>("across_channels", false);
+        eps = params.get<double>("eps", 1e-9);
+    }
+
+    void forward(std::vector<Mat *> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals)
+    {
+        for (size_t inpIdx = 0; inpIdx < inputs.size(); inpIdx++)
+        {
+            Mat &inpBlob = *inputs[inpIdx];
+            Mat &outBlob = outputs[inpIdx];
+
+            int splitDim = (acrossChannels) ? 1 : 2;
+            int i, newRows = 1;
+            for( i = 0; i < splitDim; i++ )
+                newRows *= inpBlob.size[i];
+            Mat inpMat = inpBlob.reshape(1, newRows);
+            Mat outMat = outBlob.reshape(1, newRows);
+
+            Scalar mean, dev;
+            for ( i = 0; i < newRows; i++)
+            {
+                Mat inpRow = inpMat.row(i);
+                Mat outRow = outMat.row(i);
+
+                cv::meanStdDev(inpRow, mean, (normVariance) ? dev : noArray());
+                double alpha = (normVariance) ? 1/(eps + dev[0]) : 1;
+                inpRow.convertTo(outRow, outRow.type(), alpha, -mean[0] * alpha);
+            }
+        }
+    }
+
+    virtual int64 getFLOPS(const std::vector<MatShape> &inputs,
+                           const std::vector<MatShape> &outputs) const
+    {
+        (void)outputs; // suppress unused variable warning
+        long flops = 0;
+        for(int i = 0; i < inputs.size(); i++)
+        {
+            flops += 6*total(inputs[i]) + 3*total(inputs[i], 0, normVariance ? 2 : 1);
+        }
+        return flops;
+    }
+};
+
+Ptr<MVNLayer> MVNLayer::create(const LayerParams& params)
+{
+    return Ptr<MVNLayer>(new MVNLayerImpl(params));
+}
+
+}
+}