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Diffstat (limited to 'intern/libmv/libmv/image/array_nd.h')
| -rw-r--r-- | intern/libmv/libmv/image/array_nd.h | 497 |
1 files changed, 497 insertions, 0 deletions
diff --git a/intern/libmv/libmv/image/array_nd.h b/intern/libmv/libmv/image/array_nd.h new file mode 100644 index 00000000000..e95e66aa2b3 --- /dev/null +++ b/intern/libmv/libmv/image/array_nd.h @@ -0,0 +1,497 @@ +// Copyright (c) 2007, 2008 libmv authors. +// +// Permission is hereby granted, free of charge, to any person obtaining a copy +// of this software and associated documentation files (the "Software"), to +// deal in the Software without restriction, including without limitation the +// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +// sell copies of the Software, and to permit persons to whom the Software is +// furnished to do so, subject to the following conditions: +// +// The above copyright notice and this permission notice shall be included in +// all copies or substantial portions of the Software. +// +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS +// IN THE SOFTWARE. + +#ifndef LIBMV_IMAGE_ARRAY_ND_H +#define LIBMV_IMAGE_ARRAY_ND_H + +#include <cassert> +#include <cstdio> +#include <cstring> + +#include "libmv/image/tuple.h" + +namespace libmv { + +class BaseArray {}; + +/// A multidimensional array class. +template <typename T, int N> +class ArrayND : public BaseArray { + public: + typedef T Scalar; + + /// Type for the multidimensional indices. + typedef Tuple<int, N> Index; + + /// Create an empty array. + ArrayND() : data_(NULL), own_data_(true) { Resize(Index(0)); } + + /// Create an array with the specified shape. + ArrayND(const Index &shape) : data_(NULL), own_data_(true) { Resize(shape); } + + /// Create an array with the specified shape. + ArrayND(int *shape) : data_(NULL), own_data_(true) { Resize(shape); } + + /// Copy constructor. + ArrayND(const ArrayND<T, N> &b) : data_(NULL), own_data_(true) { + ResizeLike(b); + std::memcpy(Data(), b.Data(), sizeof(T) * Size()); + } + + ArrayND(int s0) : data_(NULL), own_data_(true) { Resize(s0); } + ArrayND(int s0, int s1) : data_(NULL), own_data_(true) { Resize(s0, s1); } + ArrayND(int s0, int s1, int s2) : data_(NULL), own_data_(true) { + Resize(s0, s1, s2); + } + + ArrayND(T* data, int s0, int s1, int s2) + : shape_(0), strides_(0), data_(data), own_data_(false) { + Resize(s0, s1, s2); + } + + /// Destructor deletes pixel data. + ~ArrayND() { + if (own_data_) { + delete [] data_; + } + } + + /// Assignation copies pixel data. + ArrayND &operator=(const ArrayND<T, N> &b) { + assert(this != &b); + ResizeLike(b); + std::memcpy(Data(), b.Data(), sizeof(T) * Size()); + return *this; + } + + const Index &Shapes() const { + return shape_; + } + + const Index &Strides() const { + return strides_; + } + + /// Create an array of shape s. + void Resize(const Index &new_shape) { + if (data_ != NULL && shape_ == new_shape) { + // Don't bother realloacting if the shapes match. + return; + } + shape_.Reset(new_shape); + strides_(N - 1) = 1; + for (int i = N - 1; i > 0; --i) { + strides_(i - 1) = strides_(i) * shape_(i); + } + if (own_data_) { + delete [] data_; + data_ = NULL; + if (Size() > 0) { + data_ = new T[Size()]; + } + } + } + + template<typename D> + void ResizeLike(const ArrayND<D, N> &other) { + Resize(other.Shape()); + } + + /// Resizes the array to shape s. All data is lost. + void Resize(const int *new_shape_array) { + Resize(Index(new_shape_array)); + } + + /// Resize a 1D array to length s0. + void Resize(int s0) { + assert(N == 1); + int shape[] = {s0}; + Resize(shape); + } + + /// Resize a 2D array to shape (s0,s1). + void Resize(int s0, int s1) { + int shape[N] = {s0, s1}; + for (int i = 2; i < N; ++i) { + shape[i] = 1; + } + Resize(shape); + } + + // Match Eigen2's API. + void resize(int rows, int cols) { + Resize(rows, cols); + } + + /// Resize a 3D array to shape (s0,s1,s2). + void Resize(int s0, int s1, int s2) { + assert(N == 3); + int shape[] = {s0, s1, s2}; + Resize(shape); + } + + template<typename D> + void CopyFrom(const ArrayND<D, N> &other) { + ResizeLike(other); + T *data = Data(); + const D *other_data = other.Data(); + for (int i = 0; i < Size(); ++i) { + data[i] = T(other_data[i]); + } + } + + void Fill(T value) { + for (int i = 0; i < Size(); ++i) { + Data()[i] = value; + } + } + + // Match Eigen's API. + void fill(T value) { + for (int i = 0; i < Size(); ++i) { + Data()[i] = value; + } + } + + /// Return a tuple containing the length of each axis. + const Index &Shape() const { + return shape_; + } + + /// Return the length of an axis. + int Shape(int axis) const { + return shape_(axis); + } + + /// Return the distance between neighboring elements along axis. + int Stride(int axis) const { + return strides_(axis); + } + + /// Return the number of elements of the array. + int Size() const { + int size = 1; + for (int i = 0; i < N; ++i) + size *= Shape(i); + return size; + } + + /// Return the total amount of memory used by the array. + int MemorySizeInBytes() const { + return sizeof(*this) + Size() * sizeof(T); + } + + /// Pointer to the first element of the array. + T *Data() { return data_; } + + /// Constant pointer to the first element of the array. + const T *Data() const { return data_; } + + /// Distance between the first element and the element at position index. + int Offset(const Index &index) const { + int offset = 0; + for (int i = 0; i < N; ++i) + offset += index(i) * Stride(i); + return offset; + } + + /// 1D specialization. + int Offset(int i0) const { + assert(N == 1); + return i0 * Stride(0); + } + + /// 2D specialization. + int Offset(int i0, int i1) const { + assert(N == 2); + return i0 * Stride(0) + i1 * Stride(1); + } + + /// 3D specialization. + int Offset(int i0, int i1, int i2) const { + assert(N == 3); + return i0 * Stride(0) + i1 * Stride(1) + i2 * Stride(2); + } + + /// Return a reference to the element at position index. + T &operator()(const Index &index) { + // TODO(pau) Boundary checking in debug mode. + return *( Data() + Offset(index) ); + } + + /// 1D specialization. + T &operator()(int i0) { + return *( Data() + Offset(i0) ); + } + + /// 2D specialization. + T &operator()(int i0, int i1) { + assert(0 <= i0 && i0 < Shape(0)); + assert(0 <= i1 && i1 < Shape(1)); + return *(Data() + Offset(i0, i1)); + } + + /// 3D specialization. + T &operator()(int i0, int i1, int i2) { + assert(0 <= i0 && i0 < Shape(0)); + assert(0 <= i1 && i1 < Shape(1)); + assert(0 <= i2 && i2 < Shape(2)); + return *(Data() + Offset(i0, i1, i2)); + } + + /// Return a constant reference to the element at position index. + const T &operator()(const Index &index) const { + return *(Data() + Offset(index)); + } + + /// 1D specialization. + const T &operator()(int i0) const { + return *(Data() + Offset(i0)); + } + + /// 2D specialization. + const T &operator()(int i0, int i1) const { + assert(0 <= i0 && i0 < Shape(0)); + assert(0 <= i1 && i1 < Shape(1)); + return *(Data() + Offset(i0, i1)); + } + + /// 3D specialization. + const T &operator()(int i0, int i1, int i2) const { + return *(Data() + Offset(i0, i1, i2)); + } + + /// True if index is inside array. + bool Contains(const Index &index) const { + for (int i = 0; i < N; ++i) + if (index(i) < 0 || index(i) >= Shape(i)) + return false; + return true; + } + + /// 1D specialization. + bool Contains(int i0) const { + return 0 <= i0 && i0 < Shape(0); + } + + /// 2D specialization. + bool Contains(int i0, int i1) const { + return 0 <= i0 && i0 < Shape(0) + && 0 <= i1 && i1 < Shape(1); + } + + /// 3D specialization. + bool Contains(int i0, int i1, int i2) const { + return 0 <= i0 && i0 < Shape(0) + && 0 <= i1 && i1 < Shape(1) + && 0 <= i2 && i2 < Shape(2); + } + + bool operator==(const ArrayND<T, N> &other) const { + if (shape_ != other.shape_) return false; + if (strides_ != other.strides_) return false; + for (int i = 0; i < Size(); ++i) { + if (this->Data()[i] != other.Data()[i]) + return false; + } + return true; + } + + bool operator!=(const ArrayND<T, N> &other) const { + return !(*this == other); + } + + ArrayND<T, N> operator*(const ArrayND<T, N> &other) const { + assert(Shape() = other.Shape()); + ArrayND<T, N> res; + res.ResizeLike(*this); + for (int i = 0; i < res.Size(); ++i) { + res.Data()[i] = Data()[i] * other.Data()[i]; + } + return res; + } + + protected: + /// The number of element in each dimension. + Index shape_; + + /// How to jump to neighbors in each dimension. + Index strides_; + + /// Pointer to the first element of the array. + T *data_; + + /// Flag if this Array either own or reference the data + bool own_data_; +}; + +/// 3D array (row, column, channel). +template <typename T> +class Array3D : public ArrayND<T, 3> { + typedef ArrayND<T, 3> Base; + public: + Array3D() + : Base() { + } + Array3D(int height, int width, int depth = 1) + : Base(height, width, depth) { + } + Array3D(T* data, int height, int width, int depth = 1) + : Base(data, height, width, depth) { + } + + void Resize(int height, int width, int depth = 1) { + Base::Resize(height, width, depth); + } + + int Height() const { + return Base::Shape(0); + } + int Width() const { + return Base::Shape(1); + } + int Depth() const { + return Base::Shape(2); + } + + // Match Eigen2's API so that Array3D's and Mat*'s can work together via + // template magic. + int rows() const { return Height(); } + int cols() const { return Width(); } + int depth() const { return Depth(); } + + int Get_Step() const { return Width()*Depth(); } + + /// Enable accessing with 2 indices for grayscale images. + T &operator()(int i0, int i1, int i2 = 0) { + assert(0 <= i0 && i0 < Height()); + assert(0 <= i1 && i1 < Width()); + return Base::operator()(i0, i1, i2); + } + const T &operator()(int i0, int i1, int i2 = 0) const { + assert(0 <= i0 && i0 < Height()); + assert(0 <= i1 && i1 < Width()); + return Base::operator()(i0, i1, i2); + } +}; + +typedef Array3D<unsigned char> Array3Du; +typedef Array3D<unsigned int> Array3Dui; +typedef Array3D<int> Array3Di; +typedef Array3D<float> Array3Df; +typedef Array3D<short> Array3Ds; + +void SplitChannels(const Array3Df &input, + Array3Df *channel0, + Array3Df *channel1, + Array3Df *channel2); + +void PrintArray(const Array3Df &array); + +/** Convert a float array into a byte array by scaling values by 255* (max-min). + * where max and min are automatically detected + * (if automatic_range_detection = true) + * \note and TODO this automatic detection only works when the image contains + * at least one pixel of both bounds. + **/ +void FloatArrayToScaledByteArray(const Array3Df &float_array, + Array3Du *byte_array, + bool automatic_range_detection = false); + +//! Convert a byte array into a float array by dividing values by 255. +void ByteArrayToScaledFloatArray(const Array3Du &byte_array, + Array3Df *float_array); + +template <typename AArrayType, typename BArrayType, typename CArrayType> +void MultiplyElements(const AArrayType &a, + const BArrayType &b, + CArrayType *c) { + // This function does an element-wise multiply between + // the two Arrays A and B, and stores the result in C. + // A and B must have the same dimensions. + assert(a.Shape() == b.Shape()); + c->ResizeLike(a); + + // To perform the multiplcation, a "current" index into the N-dimensions of + // the A and B matrix specifies which elements are being multiplied. + typename CArrayType::Index index; + + // The index starts at the maximum value for each dimension + const typename CArrayType::Index& cShape = c->Shape(); + for ( int i = 0; i < CArrayType::Index::SIZE; ++i ) + index(i) = cShape(i) - 1; + + // After each multiplication, the highest-dimensional index is reduced. + // if this reduces it less than zero, it resets to its maximum value + // and decrements the index of the next lower dimension. + // This ripple-action continues until the entire new array has been + // calculated, indicated by dimension zero having a negative index. + while ( index(0) >= 0 ) { + (*c)(index) = a(index) * b(index); + + int dimension = CArrayType::Index::SIZE - 1; + index(dimension) = index(dimension) - 1; + while ( dimension > 0 && index(dimension) < 0 ) { + index(dimension) = cShape(dimension) - 1; + index(dimension - 1) = index(dimension - 1) - 1; + --dimension; + } + } +} + +template <typename TA, typename TB, typename TC> +void MultiplyElements(const ArrayND<TA, 3> &a, + const ArrayND<TB, 3> &b, + ArrayND<TC, 3> *c) { + // Specialization for N==3 + c->ResizeLike(a); + assert(a.Shape(0) == b.Shape(0)); + assert(a.Shape(1) == b.Shape(1)); + assert(a.Shape(2) == b.Shape(2)); + for (int i = 0; i < a.Shape(0); ++i) { + for (int j = 0; j < a.Shape(1); ++j) { + for (int k = 0; k < a.Shape(2); ++k) { + (*c)(i, j, k) = TC(a(i, j, k) * b(i, j, k)); + } + } + } +} + +template <typename TA, typename TB, typename TC> +void MultiplyElements(const Array3D<TA> &a, + const Array3D<TB> &b, + Array3D<TC> *c) { + // Specialization for N==3 + c->ResizeLike(a); + assert(a.Shape(0) == b.Shape(0)); + assert(a.Shape(1) == b.Shape(1)); + assert(a.Shape(2) == b.Shape(2)); + for (int i = 0; i < a.Shape(0); ++i) { + for (int j = 0; j < a.Shape(1); ++j) { + for (int k = 0; k < a.Shape(2); ++k) { + (*c)(i, j, k) = TC(a(i, j, k) * b(i, j, k)); + } + } + } +} + +} // namespace libmv + +#endif // LIBMV_IMAGE_ARRAY_ND_H |