/*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*/ #ifndef OPENCV_DNN_DNN_SHAPE_UTILS_HPP #define OPENCV_DNN_DNN_SHAPE_UTILS_HPP #include #include // CV_MAX_DIM #include #include #include namespace cv { namespace dnn { CV__DNN_INLINE_NS_BEGIN //Slicing struct _Range : public cv::Range { _Range(const Range &r) : cv::Range(r) {} _Range(int start_, int size_ = 1) : cv::Range(start_, start_ + size_) {} }; static inline Mat slice(const Mat &m, const _Range &r0) { Range ranges[CV_MAX_DIM]; for (int i = 1; i < m.dims; i++) ranges[i] = Range::all(); ranges[0] = r0; return m(&ranges[0]); } static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1) { CV_Assert(m.dims >= 2); Range ranges[CV_MAX_DIM]; for (int i = 2; i < m.dims; i++) ranges[i] = Range::all(); ranges[0] = r0; ranges[1] = r1; return m(&ranges[0]); } static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1, const _Range &r2) { CV_Assert(m.dims >= 3); Range ranges[CV_MAX_DIM]; for (int i = 3; i < m.dims; i++) ranges[i] = Range::all(); ranges[0] = r0; ranges[1] = r1; ranges[2] = r2; return m(&ranges[0]); } static inline Mat slice(const Mat &m, const _Range &r0, const _Range &r1, const _Range &r2, const _Range &r3) { CV_Assert(m.dims >= 4); Range ranges[CV_MAX_DIM]; for (int i = 4; i < m.dims; i++) ranges[i] = Range::all(); ranges[0] = r0; ranges[1] = r1; ranges[2] = r2; ranges[3] = r3; return m(&ranges[0]); } static inline Mat getPlane(const Mat &m, int n, int cn) { CV_Assert(m.dims > 2); int sz[CV_MAX_DIM]; for(int i = 2; i < m.dims; i++) { sz[i-2] = m.size.p[i]; } return Mat(m.dims - 2, sz, m.type(), (void*)m.ptr(n, cn)); } static inline MatShape shape(const int* dims, const int n) { MatShape shape; shape.assign(dims, dims + n); return shape; } static inline MatShape shape(const Mat& mat) { return shape(mat.size.p, mat.dims); } static inline MatShape shape(const MatSize& sz) { return shape(sz.p, sz.dims()); } static inline MatShape shape(const UMat& mat) { return shape(mat.size.p, mat.dims); } #if 0 // issues with MatExpr wrapped into InputArray static inline MatShape shape(InputArray input) { int sz[CV_MAX_DIM]; int ndims = input.sizend(sz); return shape(sz, ndims); } #endif namespace {inline bool is_neg(int i) { return i < 0; }} static inline MatShape shape(int a0, int a1=-1, int a2=-1, int a3=-1) { int dims[] = {a0, a1, a2, a3}; MatShape s = shape(dims, 4); s.erase(std::remove_if(s.begin(), s.end(), is_neg), s.end()); return s; } static inline int total(const MatShape& shape, int start = -1, int end = -1) { if (start == -1) start = 0; if (end == -1) end = (int)shape.size(); if (shape.empty()) return 0; int elems = 1; CV_Assert(start <= (int)shape.size() && end <= (int)shape.size() && start <= end); for(int i = start; i < end; i++) { elems *= shape[i]; } return elems; } static inline MatShape concat(const MatShape& a, const MatShape& b) { MatShape c = a; c.insert(c.end(), b.begin(), b.end()); return c; } template static inline std::string toString(const std::vector<_Tp>& shape, const String& name = "") { std::ostringstream ss; if (!name.empty()) ss << name << ' '; ss << '['; for(size_t i = 0, n = shape.size(); i < n; ++i) ss << ' ' << shape[i]; ss << " ]"; return ss.str(); } template static inline void print(const std::vector<_Tp>& shape, const String& name = "") { std::cout << toString(shape, name) << std::endl; } template static inline std::ostream& operator<<(std::ostream &out, const std::vector<_Tp>& shape) { out << toString(shape); return out; } /// @brief Converts axis from `[-dims; dims)` (similar to Python's slice notation) to `[0; dims)` range. static inline int normalize_axis(int axis, int dims) { CV_Check(axis, axis >= -dims && axis < dims, ""); axis = (axis < 0) ? (dims + axis) : axis; CV_DbgCheck(axis, axis >= 0 && axis < dims, ""); return axis; } static inline int normalize_axis(int axis, const MatShape& shape) { return normalize_axis(axis, (int)shape.size()); } static inline Range normalize_axis_range(const Range& r, int axisSize) { if (r == Range::all()) return Range(0, axisSize); CV_CheckGE(r.start, 0, ""); Range clamped(r.start, r.end > 0 ? std::min(r.end, axisSize) : axisSize + r.end + 1); CV_DbgCheckGE(clamped.start, 0, ""); CV_CheckLT(clamped.start, clamped.end, ""); CV_CheckLE(clamped.end, axisSize, ""); return clamped; } static inline bool isAllOnes(const MatShape &inputShape, int startPos, int endPos) { CV_Assert(!inputShape.empty()); CV_CheckGE((int) inputShape.size(), startPos, ""); CV_CheckGE(startPos, 0, ""); CV_CheckLE(startPos, endPos, ""); CV_CheckLE((size_t)endPos, inputShape.size(), ""); for (size_t i = startPos; i < endPos; i++) { if (inputShape[i] != 1) return false; } return true; } CV__DNN_INLINE_NS_END } } #endif