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author | shamikam | 2017-01-16 02:56:17 +0530 |
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committer | shamikam | 2017-01-16 02:56:17 +0530 |
commit | a6df67e8bcd5159cde27556f4f6a315f8dc2215f (patch) | |
tree | e806e966b06a53388fb300d89534354b222c2cad /thirdparty/linux/include/opencv2/dnn/blob.hpp | |
download | FOSSEE_Image_Processing_Toolbox-master.tar.gz FOSSEE_Image_Processing_Toolbox-master.tar.bz2 FOSSEE_Image_Processing_Toolbox-master.zip |
Diffstat (limited to 'thirdparty/linux/include/opencv2/dnn/blob.hpp')
-rw-r--r-- | thirdparty/linux/include/opencv2/dnn/blob.hpp | 341 |
1 files changed, 341 insertions, 0 deletions
diff --git a/thirdparty/linux/include/opencv2/dnn/blob.hpp b/thirdparty/linux/include/opencv2/dnn/blob.hpp new file mode 100644 index 0000000..71e929d --- /dev/null +++ b/thirdparty/linux/include/opencv2/dnn/blob.hpp @@ -0,0 +1,341 @@ +/*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_BLOB_HPP__ +#define __OPENCV_DNN_DNN_BLOB_HPP__ +#include <opencv2/core.hpp> +#include <vector> +#include <ostream> +#include <iostream> + +namespace cv +{ +namespace dnn +{ +//! @addtogroup dnn +//! @{ + + /** @brief Lightweight class for storing and processing a shape of blob (or anything else). */ + struct CV_EXPORTS_W BlobShape + { + BlobShape(); //!< Creates [1, 1, 1, 1] shape @todo Make more clearer behavior. + explicit BlobShape(int s0); //!< Creates 1-dim shape [@p s0] + BlobShape(int s0, int s1); //!< @overload + BlobShape(int s0, int s1, int s2); //!< @overload + BlobShape(int num, int cn, int rows, int cols); //!< Creates 4-dim shape [@p num, @p cn, @p rows, @p cols] + + //! Creates n-dim shape from the @p sizes array; if @p sizes is NULL then shape will contain unspecified data + BlobShape(int ndims, const int *sizes); + BlobShape(const std::vector<int> &sizes); //!< Creates n-dim shape from the @p sizes vector + template<int n> + BlobShape(const Vec<int, n> &shape); //!< Creates n-dim shape from @ref cv::Vec + + //! Creates n-dim shape and fill its by @p fill + static BlobShape all(int ndims, int fill = 1); + + /** @brief Returns number of dimensions. */ + int dims() const; + + /** @brief Returns reference to the size of the specified @p axis. + * + * Negative @p axis is supported, in this case a counting starts from the last axis, + * i. e. -1 corresponds to last axis. + * If non-existing axis was passed then an error will be generated. + */ + int &size(int axis); + + /** @brief Returns the size of the specified @p axis. + * @see size() + */ + int size(int axis) const; + + int operator[](int axis) const; //!< Does the same thing as size(axis). + int &operator[](int axis); //!< Does the same thing as size(int) const. + + /** @brief Returns the size of the specified @p axis. + * + * Does the same thing as size(int) const, but if non-existing axis will be passed then 1 will be returned, + * therefore this function always finishes successfully. + */ + int xsize(int axis) const; + + /** @brief Converts @p axis index to canonical format (where 0 <= @p axis < dims()). */ + int canonicalAxis(int axis) const; + + /** @brief Returns the product of all sizes of axes. */ + ptrdiff_t total() const; + + /** @brief Computes the product of sizes of axes among the specified axes range [@p startAxis; @p endAxis). + * @details Negative axis indexing can be used. @sa Blob::total(int,int) + */ + ptrdiff_t total(int startAxis, int endAxis = INT_MAX) const; + + /** @brief Constructs new shape from axes in range [@p startAxis; @p endAxis). + * @details Negative axis indexing can be used. @sa Blob::total(int,int) + */ + BlobShape slice(int startAxis, int endAxis = INT_MAX) const; + + /** @brief Returns pointer to the first element of continuous size array. */ + const int *ptr() const; + /** @overload */ + int *ptr(); + + bool equal(const BlobShape &other) const; //!< Checks equality of two shapes. + bool operator== (const BlobShape &r) const; //!< @sa equal() + + BlobShape operator+ (const BlobShape &r) const; //!< Contacenates two shapes. + + static BlobShape like(const Mat &m); //!< Returns shape of passed Mat. + static BlobShape like(const UMat &m); //!< Returns shape of passed UMat. + + static BlobShape empty(); //!< Returns empty shape []. + bool isEmpty() const; //!< Returns true if shape is empty (i.e []). + +#ifdef CV_CXX_MOVE_SEMANTICS + //TBD +#endif + + private: + cv::AutoBuffer<int,4> sz; + }; + + + /** @brief This class provides methods for continuous n-dimensional CPU and GPU array processing. + * + * The class is realized as a wrapper over @ref cv::Mat and @ref cv::UMat. + * It will support methods for switching and logical synchronization between CPU and GPU. + */ + class CV_EXPORTS_W Blob + { + public: + Blob(); + + /** @brief Constructs blob with specified @p shape and @p type. */ + explicit Blob(const BlobShape &shape, int type = CV_32F, int allocFlags = ALLOC_MAT); + + /** @brief Constructs Blob from existing Mat or UMat. */ + Blob(InputArray data); + + /** @brief Constructs 4-dimensional blob (so-called batch) from image or array of images. + * @param image 2-dimensional multi-channel or 3-dimensional single-channel image (or array of such images) + * @param dstCn specifies size of second axis of ouptut blob + */ + static Blob fromImages(InputArray image, int dstCn = -1); + + /** @brief Works like Blob::fromImages() but in-place. */ + void batchFromImages(InputArray image, int dstCn = -1); + + /** @brief Creates blob with specified @p shape and @p type. */ + void create(const BlobShape &shape, int type = CV_32F, int allocFlags = ALLOC_MAT); + + /** @brief Creates blob from Mat or UMat without copying the data. + * @details If in is Mat then Mat data is populated, otherwise - UMat. + */ + void fill(InputArray in); + + /** @brief Creates blob from user data. + * @details If @p deepCopy is false then CPU data will not be allocated. + */ + void fill(const BlobShape &shape, int type, void *data, bool deepCopy = true); + + /** @brief Sets @p value to the last used data (if @p allocFlags = -1). + * @details If @p allocFlags != -1 then destination data (Mat or UMat) is determined by flags from AllocFlag enum like in create(). + */ + void setTo(InputArray value, int allocFlags = -1); + + Mat& matRef(bool writeOnly = true); //!< Returns reference to cv::Mat, containing blob data. + const Mat& matRefConst() const; //!< Returns reference to cv::Mat, containing blob data, for read-only purposes. + UMat &umatRef(bool writeOnly = true); //!< Returns reference to cv::UMat, containing blob data. + const UMat &umatRefConst() const; //!< Returns reference to cv::UMat, containing blob data, for read-only purposes. + + template<typename XMat> + XMat &getRef(bool writeOnly = true); + template<typename XMat> + const XMat &getRefConst() const; + + void updateMat(bool syncData = true) const; //!< Actualizes data stored inside Mat of Blob; if @p syncData is false then only shape will be actualized. + void updateUMat(bool syncData = true) const; //!< Actualizes data stored inside Mat of Blob; if @p syncData is false then only shape will be actualized. + void sync() const; //!< Updates Mat and UMat of Blob. + + /** @brief Returns number of blob dimensions. */ + int dims() const; + + /** @brief Returns the size of the specified @p axis. + * + * Negative @p axis is supported, in this case a counting starts from the last axis, + * i. e. -1 corresponds to last axis. + * If non-existing axis was passed then an error will be generated. + */ + int size(int axis) const; + + /** @brief Returns the size of the specified @p axis. + * + * Does the same thing as size(int) const, but if non-existing axis will be passed then 1 will be returned, + * therefore this function always finishes successfully. + */ + int xsize(int axis) const; + + /** @brief Computes the product of sizes of axes among the specified axes range [@p startAxis; @p endAxis). + * @param startAxis the first axis to include in the range. + * @param endAxis the first axis to exclude from the range. + * @details Negative axis indexing can be used. + */ + size_t total(int startAxis = 0, int endAxis = INT_MAX) const; + + /** @brief Converts @p axis index to canonical format (where 0 <= @p axis < dims()). */ + int canonicalAxis(int axis) const; + + /** @brief Returns shape of the blob. */ + BlobShape shape() const; + + /** @brief Checks equality of two blobs shapes. */ + bool equalShape(const Blob &other) const; + + /** @brief Returns slice of first two dimensions. + * @details The behaviour is similar to the following numpy code: blob[n, cn, ...] + */ + Mat getPlane(int n, int cn); + + /** @brief Returns slice of first dimension. + * @details The behaviour is similar to getPlane(), but returns all + * channels * rows * cols values, corresponding to the n-th value + * of the first dimension. + */ + Mat getPlanes(int n); + + /* Shape getters of 4-dimensional blobs. */ + int cols() const; //!< Returns size of the fourth axis blob. + int rows() const; //!< Returns size of the thrid axis blob. + int channels() const; //!< Returns size of the second axis blob. + int num() const; //!< Returns size of the first axis blob. + Size size2() const; //!< Returns cv::Size(cols(), rows()) + Vec4i shape4() const; //!< Returns shape of first four blob axes. + + /** @brief Returns linear index of the element with specified coordinates in the blob. + * + * If @p n < dims() then unspecified coordinates will be filled by zeros. + * If @p n > dims() then extra coordinates will be ignored. + */ + template<int n> + size_t offset(const Vec<int, n> &pos) const; + /** @overload */ + size_t offset(int n = 0, int cn = 0, int row = 0, int col = 0) const; + + /* CPU pointer getters */ + /** @brief Returns pointer to the blob element with the specified position, stored in CPU memory. + * + * @p n correspond to the first axis, @p cn - to the second, etc. + * If dims() > 4 then unspecified coordinates will be filled by zeros. + * If dims() < 4 then extra coordinates will be ignored. + */ + uchar *ptr(int n = 0, int cn = 0, int row = 0, int col = 0); + /** @overload */ + template<typename Type> + Type *ptr(int n = 0, int cn = 0, int row = 0, int col = 0); + /** @overload ptr<float>() */ + float *ptrf(int n = 0, int cn = 0, int row = 0, int col = 0); + //TODO: add const ptr methods + + /** @brief Shares data from other @p blob. + * @returns *this + */ + Blob &shareFrom(const Blob &blob); + + /** @brief Changes shape of the blob without copying the data. + * @returns *this + */ + Blob &reshape(const BlobShape &shape); + + /** @brief Changes shape of the blob without copying the data. + * @returns shallow copy of original blob with new shape. + */ + Blob reshaped(const BlobShape &newShape) const; + + int type() const; //!< Returns type of the blob. + int elemSize() const; //!< Returns size of single element in bytes. + int getState() const; //!< Returns current state of the blob, @see DataState. + + private: + const int *sizes() const; + +# define CV_DNN_UMAT //DBG +#ifdef HAVE_OPENCL +# define CV_DNN_UMAT +#endif + +#ifdef CV_DNN_UMAT +# define CV_DNN_UMAT_ONLY(expr) (expr) +#else +# define CV_DNN_UMAT_ONLY(expr) +#endif + +#ifndef CV_DNN_UMAT + Mat m; +#else + mutable Mat m; + mutable UMat um; + mutable uchar state; +#endif + +public: + enum DataState + { + UNINITIALIZED = 0, + HEAD_AT_MAT = 1 << 0, + HEAD_AT_UMAT = 1 << 1, + SYNCED = HEAD_AT_MAT | HEAD_AT_UMAT + }; + + enum AllocFlag + { + ALLOC_MAT = HEAD_AT_MAT, + ALLOC_UMAT = HEAD_AT_UMAT, + ALLOC_BOTH = SYNCED + }; + }; + +//! @} +} +} + +#include "blob.inl.hpp" + +#endif |