dnn: move module from opencv_contrib

https://github.com/opencv/opencv_contrib/tree/e6f63c7a38ca40c5dc33e38736e3027e3528d6cb/modules/dnn
2026-07-30 15:53:03 +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 +1,153 @@
+/*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"
+
+namespace cv
+{
+namespace dnn
+{
+
+class CropLayerImpl : public CropLayer
+{
+public:
+    CropLayerImpl(const LayerParams& params)
+    {
+        setParamsFrom(params);
+        startAxis = params.get<int>("axis", 2);
+        const DictValue *paramOffset = params.ptr("offset");
+
+        if (paramOffset)
+        {
+            for (int i = 0; i < paramOffset->size(); i++)
+                offset.push_back(paramOffset->get<int>(i));
+        }
+    }
+
+    bool getMemoryShapes(const std::vector<MatShape> &inputs,
+                         const int requiredOutputs,
+                         std::vector<MatShape> &outputs,
+                         std::vector<MatShape> &internals) const
+    {
+        CV_Assert(inputs.size() == 2);
+
+        MatShape dstShape = inputs[0];
+        int start = clamp(startAxis, dstShape);
+        for (int i = start; i < dstShape.size(); i++)
+        {
+            dstShape[i] = inputs[1][i];
+        }
+
+        outputs.resize(1, dstShape);
+
+        return false;
+    }
+
+    void finalize(const std::vector<Mat *> &inputs, std::vector<Mat> &outputs)
+    {
+        CV_Assert(2 == inputs.size());
+
+        const Mat &inpBlob = *inputs[0];
+        const Mat &inpSzBlob = *inputs[1];
+
+        int dims = inpBlob.dims;
+        int start_axis = clamp(startAxis, dims);
+
+        std::vector<int> offset_final(dims, 0);
+        if (offset.size() == 1)
+        {
+            for (int i = start_axis; i < dims; i++)
+                offset_final[i] = offset[0];
+        }
+        else if (offset.size() > 1)
+        {
+            if ((int)offset.size() != dims - start_axis)
+                CV_Error(Error::StsBadArg, "number of offset values specified must be "
+                                           "equal to the number of dimensions following axis.");
+
+            for (int i = start_axis; i < dims; i++)
+                offset_final[i] = offset[i - start_axis];
+        }
+
+        crop_ranges.resize(dims, Range::all());
+        for (int i = 0; i < dims; i++)
+        {
+            if( i < start_axis )
+                continue;
+
+            if (!offset.empty()) //normal case
+            {
+                if (offset_final[i] < 0 || offset_final[i] + inpSzBlob.size[i] > inpBlob.size[i])
+                    CV_Error(Error::StsBadArg, "invalid crop parameters");
+
+                crop_ranges[i] = Range(offset_final[i], offset_final[i] + inpSzBlob.size[i]);
+            }
+            else //detect offset automatically so that cropped image is center of original one
+            {
+                if (inpSzBlob.size[i] > inpBlob.size[i])
+                    CV_Error(Error::StsBadArg, "invalid output blob size");
+
+                int cur_crop = (inpBlob.size[i] - inpSzBlob.size[i]) / 2;
+                crop_ranges[i] = Range(cur_crop, cur_crop + inpSzBlob.size[i]);
+            }
+        }
+    }
+
+    void forward(std::vector<Mat *> &inputs, std::vector<Mat> &outputs, std::vector<Mat> &internals)
+    {
+        Mat &input = *inputs[0];
+        Mat &output = outputs[0];
+
+        input(&crop_ranges[0]).copyTo(output);
+    }
+
+    std::vector<Range> crop_ranges;
+};
+
+
+Ptr<CropLayer> CropLayer::create(const LayerParams& params)
+{
+    return Ptr<CropLayer>(new CropLayerImpl(params));
+}
+
+}
+}