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219 lines
6.1 KiB
219 lines
6.1 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2013, OpenCV Foundation, all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#ifndef OPENCV_DNN_DNN_SHAPE_UTILS_HPP |
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#define OPENCV_DNN_DNN_SHAPE_UTILS_HPP |
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#include <opencv2/dnn/dnn.hpp> |
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#include <opencv2/core/types_c.h> // CV_MAX_DIM |
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#include <iostream> |
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#include <ostream> |
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#include <sstream> |
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namespace cv { |
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namespace dnn { |
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CV__DNN_EXPERIMENTAL_NS_BEGIN |
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//Slicing |
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struct _Range : public cv::Range |
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{ |
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_Range(const Range &r) : cv::Range(r) {} |
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_Range(int start_, int size_ = 1) : cv::Range(start_, start_ + size_) {} |
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}; |
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static inline Mat slice(const Mat &m, const _Range &r0) |
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{ |
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Range ranges[CV_MAX_DIM]; |
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for (int i = 1; i < m.dims; i++) |
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ranges[i] = Range::all(); |
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ranges[0] = r0; |
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return m(&ranges[0]); |
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} |
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static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1) |
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{ |
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CV_Assert(m.dims >= 2); |
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Range ranges[CV_MAX_DIM]; |
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for (int i = 2; i < m.dims; i++) |
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ranges[i] = Range::all(); |
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ranges[0] = r0; |
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ranges[1] = r1; |
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return m(&ranges[0]); |
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} |
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static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1, const _Range &r2) |
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{ |
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CV_Assert(m.dims >= 3); |
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Range ranges[CV_MAX_DIM]; |
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for (int i = 3; i < m.dims; i++) |
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ranges[i] = Range::all(); |
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ranges[0] = r0; |
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ranges[1] = r1; |
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ranges[2] = r2; |
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return m(&ranges[0]); |
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} |
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static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1, const _Range &r2, const _Range &r3) |
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{ |
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CV_Assert(m.dims >= 4); |
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Range ranges[CV_MAX_DIM]; |
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for (int i = 4; i < m.dims; i++) |
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ranges[i] = Range::all(); |
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ranges[0] = r0; |
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ranges[1] = r1; |
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ranges[2] = r2; |
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ranges[3] = r3; |
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return m(&ranges[0]); |
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} |
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static inline Mat getPlane(const Mat &m, int n, int cn) |
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{ |
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CV_Assert(m.dims > 2); |
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int sz[CV_MAX_DIM]; |
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for(int i = 2; i < m.dims; i++) |
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{ |
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sz[i-2] = m.size.p[i]; |
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} |
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return Mat(m.dims - 2, sz, m.type(), (void*)m.ptr<float>(n, cn)); |
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} |
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static inline MatShape shape(const int* dims, const int n) |
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{ |
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MatShape shape; |
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shape.assign(dims, dims + n); |
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return shape; |
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} |
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static inline MatShape shape(const Mat& mat) |
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{ |
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return shape(mat.size.p, mat.dims); |
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} |
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static inline MatShape shape(const MatSize& sz) |
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{ |
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return shape(sz.p, sz.dims()); |
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} |
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static inline MatShape shape(const UMat& mat) |
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{ |
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return shape(mat.size.p, mat.dims); |
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} |
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namespace {inline bool is_neg(int i) { return i < 0; }} |
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static inline MatShape shape(int a0, int a1=-1, int a2=-1, int a3=-1) |
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{ |
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int dims[] = {a0, a1, a2, a3}; |
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MatShape s = shape(dims, 4); |
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s.erase(std::remove_if(s.begin(), s.end(), is_neg), s.end()); |
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return s; |
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} |
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static inline int total(const MatShape& shape, int start = -1, int end = -1) |
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{ |
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if (start == -1) start = 0; |
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if (end == -1) end = (int)shape.size(); |
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if (shape.empty()) |
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return 0; |
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int elems = 1; |
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CV_Assert(start <= (int)shape.size() && end <= (int)shape.size() && |
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start <= end); |
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for(int i = start; i < end; i++) |
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{ |
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elems *= shape[i]; |
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} |
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return elems; |
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} |
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static inline MatShape concat(const MatShape& a, const MatShape& b) |
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{ |
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MatShape c = a; |
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c.insert(c.end(), b.begin(), b.end()); |
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return c; |
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} |
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static inline std::string toString(const MatShape& shape, const String& name = "") |
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{ |
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std::ostringstream ss; |
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if (!name.empty()) |
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ss << name << ' '; |
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ss << '['; |
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for(size_t i = 0, n = shape.size(); i < n; ++i) |
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ss << ' ' << shape[i]; |
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ss << " ]"; |
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return ss.str(); |
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} |
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static inline void print(const MatShape& shape, const String& name = "") |
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{ |
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std::cout << toString(shape, name) << std::endl; |
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} |
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static inline std::ostream& operator<<(std::ostream &out, const MatShape& shape) |
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{ |
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out << toString(shape); |
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return out; |
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} |
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inline int clamp(int ax, int dims) |
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{ |
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return ax < 0 ? ax + dims : ax; |
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} |
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inline int clamp(int ax, const MatShape& shape) |
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{ |
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return clamp(ax, (int)shape.size()); |
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} |
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inline Range clamp(const Range& r, int axisSize) |
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{ |
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Range clamped(std::max(r.start, 0), |
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r.end > 0 ? std::min(r.end, axisSize) : axisSize + r.end + 1); |
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CV_Assert_N(clamped.start < clamped.end, clamped.end <= axisSize); |
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return clamped; |
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} |
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CV__DNN_EXPERIMENTAL_NS_END |
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} |
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} |
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#endif
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