| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501 |
- // Tencent is pleased to support the open source community by making ncnn available.
- //
- // Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
- //
- // Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
- // in compliance with the License. You may obtain a copy of the License at
- //
- // https://opensource.org/licenses/BSD-3-Clause
- //
- // Unless required by applicable law or agreed to in writing, software distributed
- // under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
- // CONDITIONS OF ANY KIND, either express or implied. See the License for the
- // specific language governing permissions and limitations under the License.
- #ifndef NCNN_SIMPLEOCV_H
- #define NCNN_SIMPLEOCV_H
- #include "platform.h"
- #if NCNN_SIMPLEOCV
- #include <limits.h>
- #include <string.h>
- #include "allocator.h"
- #include "mat.h"
- #if defined(_MSC_VER) || defined(__GNUC__)
- #pragma push_macro("min")
- #pragma push_macro("max")
- #undef min
- #undef max
- #endif
- #ifndef NCNN_XADD
- using ncnn::NCNN_XADD;
- #endif
- typedef unsigned char uchar;
- typedef unsigned short ushort;
- typedef unsigned int uint;
- enum
- {
- CV_LOAD_IMAGE_UNCHANGED = -1,
- CV_LOAD_IMAGE_GRAYSCALE = 0,
- CV_LOAD_IMAGE_COLOR = 1,
- };
- enum
- {
- CV_IMWRITE_JPEG_QUALITY = 1
- };
- // minimal opencv style data structure implementation
- namespace cv {
- template<typename _Tp>
- static inline _Tp saturate_cast(int v)
- {
- return _Tp(v);
- }
- template<>
- inline uchar saturate_cast<uchar>(int v)
- {
- return (uchar)((unsigned)v <= UCHAR_MAX ? v : v > 0 ? UCHAR_MAX : 0);
- }
- template<typename _Tp>
- struct Scalar_
- {
- Scalar_()
- {
- v[0] = 0;
- v[1] = 0;
- v[2] = 0;
- v[3] = 0;
- }
- Scalar_(_Tp _v0)
- {
- v[0] = _v0;
- v[1] = 0;
- v[2] = 0;
- v[3] = 0;
- }
- Scalar_(_Tp _v0, _Tp _v1, _Tp _v2)
- {
- v[0] = _v0;
- v[1] = _v1;
- v[2] = _v2;
- v[3] = 0;
- }
- Scalar_(_Tp _v0, _Tp _v1, _Tp _v2, _Tp _v3)
- {
- v[0] = _v0;
- v[1] = _v1;
- v[2] = _v2;
- v[3] = _v3;
- }
- const _Tp operator[](const int i) const
- {
- return v[i];
- }
- _Tp operator[](const int i)
- {
- return v[i];
- }
- _Tp v[4];
- };
- typedef Scalar_<uchar> Scalar;
- template<typename _Tp>
- struct Point_
- {
- Point_()
- : x(0), y(0)
- {
- }
- Point_(_Tp _x, _Tp _y)
- : x(_x), y(_y)
- {
- }
- template<typename _Tp2>
- operator Point_<_Tp2>() const
- {
- return Point_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y));
- }
- _Tp x;
- _Tp y;
- };
- typedef Point_<int> Point;
- typedef Point_<float> Point2f;
- template<typename _Tp>
- struct Size_
- {
- Size_()
- : width(0), height(0)
- {
- }
- Size_(_Tp _w, _Tp _h)
- : width(_w), height(_h)
- {
- }
- template<typename _Tp2>
- operator Size_<_Tp2>() const
- {
- return Size_<_Tp2>(saturate_cast<_Tp2>(width), saturate_cast<_Tp2>(height));
- }
- _Tp width;
- _Tp height;
- };
- typedef Size_<int> Size;
- typedef Size_<float> Size2f;
- template<typename _Tp>
- struct Rect_
- {
- Rect_()
- : x(0), y(0), width(0), height(0)
- {
- }
- Rect_(_Tp _x, _Tp _y, _Tp _w, _Tp _h)
- : x(_x), y(_y), width(_w), height(_h)
- {
- }
- Rect_(Point_<_Tp> _p, Size_<_Tp> _size)
- : x(_p.x), y(_p.y), width(_size.width), height(_size.height)
- {
- }
- template<typename _Tp2>
- operator Rect_<_Tp2>() const
- {
- return Rect_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y), saturate_cast<_Tp2>(width), saturate_cast<_Tp2>(height));
- }
- _Tp x;
- _Tp y;
- _Tp width;
- _Tp height;
- // area
- _Tp area() const
- {
- return width * height;
- }
- };
- template<typename _Tp>
- static inline Rect_<_Tp>& operator&=(Rect_<_Tp>& a, const Rect_<_Tp>& b)
- {
- _Tp x1 = std::max(a.x, b.x), y1 = std::max(a.y, b.y);
- a.width = std::min(a.x + a.width, b.x + b.width) - x1;
- a.height = std::min(a.y + a.height, b.y + b.height) - y1;
- a.x = x1;
- a.y = y1;
- if (a.width <= 0 || a.height <= 0)
- a = Rect_<_Tp>();
- return a;
- }
- template<typename _Tp>
- static inline Rect_<_Tp>& operator|=(Rect_<_Tp>& a, const Rect_<_Tp>& b)
- {
- _Tp x1 = std::min(a.x, b.x), y1 = std::min(a.y, b.y);
- a.width = std::max(a.x + a.width, b.x + b.width) - x1;
- a.height = std::max(a.y + a.height, b.y + b.height) - y1;
- a.x = x1;
- a.y = y1;
- return a;
- }
- template<typename _Tp>
- static inline Rect_<_Tp> operator&(const Rect_<_Tp>& a, const Rect_<_Tp>& b)
- {
- Rect_<_Tp> c = a;
- return c &= b;
- }
- template<typename _Tp>
- static inline Rect_<_Tp> operator|(const Rect_<_Tp>& a, const Rect_<_Tp>& b)
- {
- Rect_<_Tp> c = a;
- return c |= b;
- }
- typedef Rect_<int> Rect;
- typedef Rect_<float> Rect2f;
- #define CV_8UC1 1
- #define CV_8UC3 3
- #define CV_8UC4 4
- #define CV_32FC1 4
- struct NCNN_EXPORT Mat
- {
- Mat()
- : data(0), refcount(0), rows(0), cols(0), c(0)
- {
- }
- Mat(int _rows, int _cols, int flags)
- : data(0), refcount(0)
- {
- create(_rows, _cols, flags);
- }
- // copy
- Mat(const Mat& m)
- : data(m.data), refcount(m.refcount)
- {
- if (refcount)
- NCNN_XADD(refcount, 1);
- rows = m.rows;
- cols = m.cols;
- c = m.c;
- }
- Mat(int _rows, int _cols, int flags, void* _data)
- : data((unsigned char*)_data), refcount(0)
- {
- rows = _rows;
- cols = _cols;
- c = flags;
- }
- ~Mat()
- {
- release();
- }
- // assign
- Mat& operator=(const Mat& m)
- {
- if (this == &m)
- return *this;
- if (m.refcount)
- NCNN_XADD(m.refcount, 1);
- release();
- data = m.data;
- refcount = m.refcount;
- rows = m.rows;
- cols = m.cols;
- c = m.c;
- return *this;
- }
- Mat& operator=(const Scalar& s)
- {
- if (total() > 0)
- {
- uchar* p = data;
- for (int i = 0; i < cols * rows; i++)
- {
- for (int j = 0; j < c; j++)
- {
- *p++ = s[j];
- }
- }
- }
- return *this;
- }
- void create(int _rows, int _cols, int flags)
- {
- release();
- rows = _rows;
- cols = _cols;
- c = flags;
- if (total() > 0)
- {
- // refcount address must be aligned, so we expand totalsize here
- size_t totalsize = (total() + 3) >> 2 << 2;
- data = (uchar*)ncnn::fastMalloc(totalsize + (int)sizeof(*refcount));
- refcount = (int*)(((uchar*)data) + totalsize);
- *refcount = 1;
- }
- }
- void release()
- {
- if (refcount && NCNN_XADD(refcount, -1) == 1)
- ncnn::fastFree(data);
- data = 0;
- rows = 0;
- cols = 0;
- c = 0;
- refcount = 0;
- }
- Mat clone() const
- {
- if (empty())
- return Mat();
- Mat m(rows, cols, c);
- if (total() > 0)
- {
- memcpy(m.data, data, total());
- }
- return m;
- }
- bool empty() const
- {
- return data == 0 || total() == 0;
- }
- int channels() const
- {
- return c;
- }
- int type() const
- {
- return c;
- }
- size_t total() const
- {
- return cols * rows * c;
- }
- const uchar* ptr(int y) const
- {
- return data + y * cols * c;
- }
- uchar* ptr(int y)
- {
- return data + y * cols * c;
- }
- template<typename _Tp>
- const _Tp* ptr(int y) const
- {
- return (const _Tp*)data + y * cols * c;
- }
- template<typename _Tp>
- _Tp* ptr(int y)
- {
- return (_Tp*)data + y * cols * c;
- }
- // roi
- Mat operator()(const Rect& roi) const
- {
- if (empty())
- return Mat();
- Mat m(roi.height, roi.width, c);
- int sy = roi.y;
- for (int y = 0; y < roi.height; y++)
- {
- const uchar* sptr = ptr(sy) + roi.x * c;
- uchar* dptr = m.ptr(y);
- memcpy(dptr, sptr, roi.width * c);
- sy++;
- }
- return m;
- }
- uchar* data;
- // pointer to the reference counter;
- // when points to user-allocated data, the pointer is NULL
- int* refcount;
- int rows;
- int cols;
- int c;
- };
- enum ImreadModes
- {
- IMREAD_UNCHANGED = -1,
- IMREAD_GRAYSCALE = 0,
- IMREAD_COLOR = 1
- };
- NCNN_EXPORT Mat imread(const std::string& path, int flags = IMREAD_COLOR);
- enum ImwriteFlags
- {
- IMWRITE_JPEG_QUALITY = 1
- };
- NCNN_EXPORT bool imwrite(const std::string& path, const Mat& m, const std::vector<int>& params = std::vector<int>());
- NCNN_EXPORT void imshow(const std::string& name, const Mat& m);
- NCNN_EXPORT int waitKey(int delay = 0);
- #if NCNN_PIXEL
- NCNN_EXPORT void resize(const Mat& src, Mat& dst, const Size& size, float sw = 0.f, float sh = 0.f, int flags = 0);
- #endif // NCNN_PIXEL
- #if NCNN_PIXEL_DRAWING
- enum
- {
- FILLED = -1
- };
- NCNN_EXPORT void rectangle(Mat& img, Point pt1, Point pt2, const Scalar& color, int thickness = 1);
- NCNN_EXPORT void rectangle(Mat& img, Rect rec, const Scalar& color, int thickness = 1);
- NCNN_EXPORT void circle(Mat& img, Point center, int radius, const Scalar& color, int thickness = 1);
- NCNN_EXPORT void line(Mat& img, Point p0, Point p1, const Scalar& color, int thickness = 1);
- enum
- {
- FONT_HERSHEY_SIMPLEX = 0
- };
- NCNN_EXPORT void putText(Mat& img, const std::string& text, Point org, int fontFace, double fontScale, Scalar color, int thickness = 1);
- NCNN_EXPORT Size getTextSize(const std::string& text, int fontFace, double fontScale, int thickness, int* baseLine);
- #endif // NCNN_PIXEL_DRAWING
- } // namespace cv
- #if defined(_MSC_VER) || defined(__GNUC__)
- #pragma pop_macro("min")
- #pragma pop_macro("max")
- #endif
- #endif // NCNN_SIMPLEOCV
- #endif // NCNN_SIMPLEOCV_H
|