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core.cpp
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core.cpp
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#include "core.h"
#include <string.h>
// Mat_New creates a new empty Mat
Mat Mat_New() {
return new cv::Mat();
}
// Mat_NewWithSize creates a new Mat with a specific size dimension and number of channels.
Mat Mat_NewWithSize(int rows, int cols, int type) {
return new cv::Mat(rows, cols, type, 0.0);
}
// Mat_NewFromScalar creates a new Mat from a Scalar. Intended to be used
// for Mat comparison operation such as InRange.
Mat Mat_NewFromScalar(Scalar ar, int type) {
cv::Scalar c = cv::Scalar(ar.val1, ar.val2, ar.val3, ar.val4);
return new cv::Mat(1, 1, type, c);
}
// Mat_NewWithSizeFromScalar creates a new Mat from a Scalar with a specific size dimension and number of channels
Mat Mat_NewWithSizeFromScalar(Scalar ar, int rows, int cols, int type) {
cv::Scalar c = cv::Scalar(ar.val1, ar.val2, ar.val3, ar.val4);
return new cv::Mat(rows, cols, type, c);
}
Mat Mat_NewFromBytes(int rows, int cols, int type, struct ByteArray buf) {
return new cv::Mat(rows, cols, type, buf.data);
}
Mat Mat_FromPtr(Mat m, int rows, int cols, int type, int prow, int pcol) {
return new cv::Mat(rows, cols, type, m->ptr(prow, pcol));
}
// Mat_Close deletes an existing Mat
void Mat_Close(Mat m) {
delete m;
}
// Mat_Empty tests if a Mat is empty
int Mat_Empty(Mat m) {
return m->empty();
}
// Mat_Clone returns a clone of this Mat
Mat Mat_Clone(Mat m) {
return new cv::Mat(m->clone());
}
// Mat_CopyTo copies this Mat to another Mat.
void Mat_CopyTo(Mat m, Mat dst) {
m->copyTo(*dst);
}
// Mat_CopyToWithMask copies this Mat to another Mat while applying the mask
void Mat_CopyToWithMask(Mat m, Mat dst, Mat mask) {
m->copyTo(*dst, *mask);
}
void Mat_ConvertTo(Mat m, Mat dst, int type) {
m->convertTo(*dst, type);
}
// Mat_ToBytes returns the bytes representation of the underlying data.
struct ByteArray Mat_ToBytes(Mat m) {
return toByteArray(reinterpret_cast<const char*>(m->data), m->total() * m->elemSize());
}
struct ByteArray Mat_DataPtr(Mat m) {
return ByteArray {reinterpret_cast<char*>(m->data), static_cast<int>(m->total() * m->elemSize())};
}
// Mat_Region returns a Mat of a region of another Mat
Mat Mat_Region(Mat m, Rect r) {
return new cv::Mat(*m, cv::Rect(r.x, r.y, r.width, r.height));
}
Mat Mat_Reshape(Mat m, int cn, int rows) {
return new cv::Mat(m->reshape(cn, rows));
}
void Mat_PatchNaNs(Mat m) {
cv::patchNaNs(*m);
}
Mat Mat_ConvertFp16(Mat m) {
Mat dst = new cv::Mat();
cv::convertFp16(*m, *dst);
return dst;
}
Mat Mat_Sqrt(Mat m) {
Mat dst = new cv::Mat();
cv::sqrt(*m, *dst);
return dst;
}
// Mat_Mean calculates the mean value M of array elements, independently for each channel, and return it as Scalar vector
// TODO pass second paramter with mask
Scalar Mat_Mean(Mat m) {
cv::Scalar c = cv::mean(*m);
Scalar scal = Scalar();
scal.val1 = c.val[0];
scal.val2 = c.val[1];
scal.val3 = c.val[2];
scal.val4 = c.val[3];
return scal;
}
void LUT(Mat src, Mat lut, Mat dst) {
cv::LUT(*src, *lut, *dst);
}
// Mat_Rows returns how many rows in this Mat.
int Mat_Rows(Mat m) {
return m->rows;
}
// Mat_Cols returns how many columns in this Mat.
int Mat_Cols(Mat m) {
return m->cols;
}
// Mat_Channels returns how many channels in this Mat.
int Mat_Channels(Mat m) {
return m->channels();
}
// Mat_Type returns the type from this Mat.
int Mat_Type(Mat m) {
return m->type();
}
// Mat_Step returns the number of bytes each matrix row occupies.
int Mat_Step(Mat m) {
return m->step;
}
int Mat_Total(Mat m) {
return m->total();
}
void Mat_Size(Mat m, IntVector* res) {
cv::MatSize ms(m->size);
int* ids = new int[ms.dims()];
for (size_t i = 0; i < ms.dims(); ++i) {
ids[i] = ms[i];
}
res->length = ms.dims();
res->val = ids;
return;
}
// Mat_GetUChar returns a specific row/col value from this Mat expecting
// each element to contain a schar aka CV_8U.
uint8_t Mat_GetUChar(Mat m, int row, int col) {
return m->at<uchar>(row, col);
}
uint8_t Mat_GetUChar3(Mat m, int x, int y, int z) {
return m->at<uchar>(x, y, z);
}
// Mat_GetSChar returns a specific row/col value from this Mat expecting
// each element to contain a schar aka CV_8S.
int8_t Mat_GetSChar(Mat m, int row, int col) {
return m->at<schar>(row, col);
}
int8_t Mat_GetSChar3(Mat m, int x, int y, int z) {
return m->at<schar>(x, y, z);
}
// Mat_GetShort returns a specific row/col value from this Mat expecting
// each element to contain a short aka CV_16S.
int16_t Mat_GetShort(Mat m, int row, int col) {
return m->at<short>(row, col);
}
int16_t Mat_GetShort3(Mat m, int x, int y, int z) {
return m->at<short>(x, y, z);
}
// Mat_GetInt returns a specific row/col value from this Mat expecting
// each element to contain an int aka CV_32S.
int32_t Mat_GetInt(Mat m, int row, int col) {
return m->at<int>(row, col);
}
int32_t Mat_GetInt3(Mat m, int x, int y, int z) {
return m->at<int>(x, y, z);
}
// Mat_GetFloat returns a specific row/col value from this Mat expecting
// each element to contain a float aka CV_32F.
float Mat_GetFloat(Mat m, int row, int col) {
return m->at<float>(row, col);
}
float Mat_GetFloat3(Mat m, int x, int y, int z) {
return m->at<float>(x, y, z);
}
// Mat_GetDouble returns a specific row/col value from this Mat expecting
// each element to contain a double aka CV_64F.
double Mat_GetDouble(Mat m, int row, int col) {
return m->at<double>(row, col);
}
double Mat_GetDouble3(Mat m, int x, int y, int z) {
return m->at<double>(x, y, z);
}
void Mat_SetTo(Mat m, Scalar value) {
cv::Scalar c_value(value.val1, value.val2, value.val3, value.val4);
m->setTo(c_value);
}
// Mat_SetUChar set a specific row/col value from this Mat expecting
// each element to contain a schar aka CV_8U.
void Mat_SetUChar(Mat m, int row, int col, uint8_t val) {
m->at<uchar>(row, col) = val;
}
void Mat_SetUChar3(Mat m, int x, int y, int z, uint8_t val) {
m->at<uchar>(x, y, z) = val;
}
// Mat_SetSChar set a specific row/col value from this Mat expecting
// each element to contain a schar aka CV_8S.
void Mat_SetSChar(Mat m, int row, int col, int8_t val) {
m->at<schar>(row, col) = val;
}
void Mat_SetSChar3(Mat m, int x, int y, int z, int8_t val) {
m->at<schar>(x, y, z) = val;
}
// Mat_SetShort set a specific row/col value from this Mat expecting
// each element to contain a short aka CV_16S.
void Mat_SetShort(Mat m, int row, int col, int16_t val) {
m->at<short>(row, col) = val;
}
void Mat_SetShort3(Mat m, int x, int y, int z, int16_t val) {
m->at<short>(x, y, z) = val;
}
// Mat_SetInt set a specific row/col value from this Mat expecting
// each element to contain an int aka CV_32S.
void Mat_SetInt(Mat m, int row, int col, int32_t val) {
m->at<int>(row, col) = val;
}
void Mat_SetInt3(Mat m, int x, int y, int z, int32_t val) {
m->at<int>(x, y, z) = val;
}
// Mat_SetFloat set a specific row/col value from this Mat expecting
// each element to contain a float aka CV_32F.
void Mat_SetFloat(Mat m, int row, int col, float val) {
m->at<float>(row, col) = val;
}
void Mat_SetFloat3(Mat m, int x, int y, int z, float val) {
m->at<float>(x, y, z) = val;
}
// Mat_SetDouble set a specific row/col value from this Mat expecting
// each element to contain a double aka CV_64F.
void Mat_SetDouble(Mat m, int row, int col, double val) {
m->at<double>(row, col) = val;
}
void Mat_SetDouble3(Mat m, int x, int y, int z, double val) {
m->at<double>(x, y, z) = val;
}
void Mat_AddUChar(Mat m, uint8_t val) {
*m += val;
}
void Mat_SubtractUChar(Mat m, uint8_t val) {
*m -= val;
}
void Mat_MultiplyUChar(Mat m, uint8_t val) {
*m *= val;
}
void Mat_DivideUChar(Mat m, uint8_t val) {
*m /= val;
}
void Mat_AddFloat(Mat m, float val) {
*m += val;
}
void Mat_SubtractFloat(Mat m, float val) {
*m -= val;
}
void Mat_MultiplyFloat(Mat m, float val) {
*m *= val;
}
void Mat_DivideFloat(Mat m, float val) {
*m /= val;
}
void Mat_AbsDiff(Mat src1, Mat src2, Mat dst) {
cv::absdiff(*src1, *src2, *dst);
}
void Mat_Add(Mat src1, Mat src2, Mat dst) {
cv::add(*src1, *src2, *dst);
}
void Mat_AddWeighted(Mat src1, double alpha, Mat src2, double beta, double gamma, Mat dst) {
cv::addWeighted(*src1, alpha, *src2, beta, gamma, *dst);
}
void Mat_BitwiseAnd(Mat src1, Mat src2, Mat dst) {
cv::bitwise_and(*src1, *src2, *dst);
}
void Mat_BitwiseAndWithMask(Mat src1, Mat src2, Mat dst, Mat mask){
cv::bitwise_and(*src1, *src2, *dst, *mask);
}
void Mat_BitwiseNot(Mat src1, Mat dst) {
cv::bitwise_not(*src1, *dst);
}
void Mat_BitwiseNotWithMask(Mat src1, Mat dst, Mat mask) {
cv::bitwise_not(*src1, *dst, *mask);
}
void Mat_BitwiseOr(Mat src1, Mat src2, Mat dst) {
cv::bitwise_or(*src1, *src2, *dst);
}
void Mat_BitwiseOrWithMask(Mat src1, Mat src2, Mat dst, Mat mask) {
cv::bitwise_or(*src1, *src2, *dst, *mask);
}
void Mat_BitwiseXor(Mat src1, Mat src2, Mat dst) {
cv::bitwise_xor(*src1, *src2, *dst);
}
void Mat_BitwiseXorWithMask(Mat src1, Mat src2, Mat dst, Mat mask) {
cv::bitwise_xor(*src1, *src2, *dst, *mask);
}
void Mat_BatchDistance(Mat src1, Mat src2, Mat dist, int dtype, Mat nidx, int normType, int K,
Mat mask, int update, bool crosscheck) {
cv::batchDistance(*src1, *src2, *dist, dtype, *nidx, normType, K, *mask, update, crosscheck);
}
int Mat_BorderInterpolate(int p, int len, int borderType) {
return cv::borderInterpolate(p, len, borderType);
}
void Mat_CalcCovarMatrix(Mat samples, Mat covar, Mat mean, int flags, int ctype) {
cv::calcCovarMatrix(*samples, *covar, *mean, flags, ctype);
}
void Mat_CartToPolar(Mat x, Mat y, Mat magnitude, Mat angle, bool angleInDegrees) {
cv::cartToPolar(*x, *y, *magnitude, *angle, angleInDegrees);
}
bool Mat_CheckRange(Mat m) {
return cv::checkRange(*m);
}
void Mat_Compare(Mat src1, Mat src2, Mat dst, int ct) {
cv::compare(*src1, *src2, *dst, ct);
}
int Mat_CountNonZero(Mat src) {
return cv::countNonZero(*src);
}
void Mat_CompleteSymm(Mat m, bool lowerToUpper) {
cv::completeSymm(*m, lowerToUpper);
}
void Mat_ConvertScaleAbs(Mat src, Mat dst, double alpha, double beta) {
cv::convertScaleAbs(*src, *dst, alpha, beta);
}
void Mat_CopyMakeBorder(Mat src, Mat dst, int top, int bottom, int left, int right, int borderType,
Scalar value) {
cv::Scalar c_value(value.val1, value.val2, value.val3, value.val4);
cv::copyMakeBorder(*src, *dst, top, bottom, left, right, borderType, c_value);
}
void Mat_DCT(Mat src, Mat dst, int flags) {
cv::dct(*src, *dst, flags);
}
double Mat_Determinant(Mat m) {
return cv::determinant(*m);
}
void Mat_DFT(Mat m, Mat dst, int flags) {
cv::dft(*m, *dst, flags);
}
void Mat_Divide(Mat src1, Mat src2, Mat dst) {
cv::divide(*src1, *src2, *dst);
}
bool Mat_Eigen(Mat src, Mat eigenvalues, Mat eigenvectors) {
return cv::eigen(*src, *eigenvalues, *eigenvectors);
}
void Mat_EigenNonSymmetric(Mat src, Mat eigenvalues, Mat eigenvectors) {
cv::eigenNonSymmetric(*src, *eigenvalues, *eigenvectors);
}
void Mat_Exp(Mat src, Mat dst) {
cv::exp(*src, *dst);
}
void Mat_ExtractChannel(Mat src, Mat dst, int coi) {
cv::extractChannel(*src, *dst, coi);
}
void Mat_FindNonZero(Mat src, Mat idx) {
cv::findNonZero(*src, *idx);
}
void Mat_Flip(Mat src, Mat dst, int flipCode) {
cv::flip(*src, *dst, flipCode);
}
void Mat_Gemm(Mat src1, Mat src2, double alpha, Mat src3, double beta, Mat dst, int flags) {
cv::gemm(*src1, *src2, alpha, *src3, beta, *dst, flags);
}
int Mat_GetOptimalDFTSize(int vecsize) {
return cv::getOptimalDFTSize(vecsize);
}
void Mat_Hconcat(Mat src1, Mat src2, Mat dst) {
cv::hconcat(*src1, *src2, *dst);
}
void Mat_Vconcat(Mat src1, Mat src2, Mat dst) {
cv::vconcat(*src1, *src2, *dst);
}
void Rotate(Mat src, Mat dst, int rotateCode) {
cv::rotate(*src, *dst, rotateCode);
}
void Mat_Idct(Mat src, Mat dst, int flags) {
cv::idct(*src, *dst, flags);
}
void Mat_Idft(Mat src, Mat dst, int flags, int nonzeroRows) {
cv::idft(*src, *dst, flags, nonzeroRows);
}
void Mat_InRange(Mat src, Mat lowerb, Mat upperb, Mat dst) {
cv::inRange(*src, *lowerb, *upperb, *dst);
}
void Mat_InRangeWithScalar(Mat src, Scalar lowerb, Scalar upperb, Mat dst) {
cv::Scalar lb = cv::Scalar(lowerb.val1, lowerb.val2, lowerb.val3, lowerb.val4);
cv::Scalar ub = cv::Scalar(upperb.val1, upperb.val2, upperb.val3, upperb.val4);
cv::inRange(*src, lb, ub, *dst);
}
void Mat_InsertChannel(Mat src, Mat dst, int coi) {
cv::insertChannel(*src, *dst, coi);
}
double Mat_Invert(Mat src, Mat dst, int flags) {
double ret = cv::invert(*src, *dst, flags);
return ret;
}
void Mat_Log(Mat src, Mat dst) {
cv::log(*src, *dst);
}
void Mat_Magnitude(Mat x, Mat y, Mat magnitude) {
cv::magnitude(*x, *y, *magnitude);
}
void Mat_Max(Mat src1, Mat src2, Mat dst) {
cv::max(*src1, *src2, *dst);
}
void Mat_MeanStdDev(Mat src, Mat dstMean, Mat dstStdDev) {
cv::meanStdDev(*src, *dstMean, *dstStdDev);
}
void Mat_Merge(struct Mats mats, Mat dst) {
std::vector<cv::Mat> images;
for (int i = 0; i < mats.length; ++i) {
images.push_back(*mats.mats[i]);
}
cv::merge(images, *dst);
}
void Mat_Min(Mat src1, Mat src2, Mat dst) {
cv::min(*src1, *src2, *dst);
}
void Mat_MinMaxIdx(Mat m, double* minVal, double* maxVal, int* minIdx, int* maxIdx) {
cv::minMaxIdx(*m, minVal, maxVal, minIdx, maxIdx);
}
void Mat_MinMaxLoc(Mat m, double* minVal, double* maxVal, Point* minLoc, Point* maxLoc) {
cv::Point cMinLoc;
cv::Point cMaxLoc;
cv::minMaxLoc(*m, minVal, maxVal, &cMinLoc, &cMaxLoc);
minLoc->x = cMinLoc.x;
minLoc->y = cMinLoc.y;
maxLoc->x = cMaxLoc.x;
maxLoc->y = cMaxLoc.y;
}
void Mat_MulSpectrums(Mat a, Mat b, Mat c, int flags) {
cv::mulSpectrums(*a, *b, *c, flags);
}
void Mat_Multiply(Mat src1, Mat src2, Mat dst) {
cv::multiply(*src1, *src2, *dst);
}
void Mat_Normalize(Mat src, Mat dst, double alpha, double beta, int typ) {
cv::normalize(*src, *dst, alpha, beta, typ);
}
double Norm(Mat src1, int normType) {
return cv::norm(*src1, normType);
}
void Mat_PerspectiveTransform(Mat src, Mat dst, Mat tm) {
cv::perspectiveTransform(*src, *dst, *tm);
}
bool Mat_Solve(Mat src1, Mat src2, Mat dst, int flags) {
return cv::solve(*src1, *src2, *dst, flags);
}
int Mat_SolveCubic(Mat coeffs, Mat roots) {
return cv::solveCubic(*coeffs, *roots);
}
double Mat_SolvePoly(Mat coeffs, Mat roots, int maxIters) {
return cv::solvePoly(*coeffs, *roots, maxIters);
}
void Mat_Reduce(Mat src, Mat dst, int dim, int rType, int dType) {
cv::reduce(*src, *dst, dim, rType, dType);
}
void Mat_Repeat(Mat src, int nY, int nX, Mat dst) {
cv::repeat(*src, nY, nX, *dst);
}
void Mat_ScaleAdd(Mat src1, double alpha, Mat src2, Mat dst) {
cv::scaleAdd(*src1, alpha, *src2, *dst);
}
void Mat_Sort(Mat src, Mat dst, int flags) {
cv::sort(*src, *dst, flags);
}
void Mat_SortIdx(Mat src, Mat dst, int flags) {
cv::sortIdx(*src, *dst, flags);
}
void Mat_Split(Mat src, struct Mats* mats) {
std::vector<cv::Mat> channels;
cv::split(*src, channels);
mats->mats = new Mat[channels.size()];
for (size_t i = 0; i < channels.size(); ++i) {
mats->mats[i] = new cv::Mat(channels[i]);
}
mats->length = (int)channels.size();
}
void Mat_Subtract(Mat src1, Mat src2, Mat dst) {
cv::subtract(*src1, *src2, *dst);
}
Scalar Mat_Trace(Mat src) {
cv::Scalar c = cv::trace(*src);
Scalar scal = Scalar();
scal.val1 = c.val[0];
scal.val2 = c.val[1];
scal.val3 = c.val[2];
scal.val4 = c.val[3];
return scal;
}
void Mat_Transform(Mat src, Mat dst, Mat tm) {
cv::transform(*src, *dst, *tm);
}
void Mat_Transpose(Mat src, Mat dst) {
cv::transpose(*src, *dst);
}
void Mat_PolarToCart(Mat magnitude, Mat degree, Mat x, Mat y, bool angleInDegrees) {
cv::polarToCart(*magnitude, *degree, *x, *y, angleInDegrees);
}
void Mat_Pow(Mat src, double power, Mat dst) {
cv::pow(*src, power, *dst);
}
void Mat_Phase(Mat x, Mat y, Mat angle, bool angleInDegrees) {
cv::phase(*x, *y, *angle, angleInDegrees);
}
Scalar Mat_Sum(Mat src) {
cv::Scalar c = cv::sum(*src);
Scalar scal = Scalar();
scal.val1 = c.val[0];
scal.val2 = c.val[1];
scal.val3 = c.val[2];
scal.val4 = c.val[3];
return scal;
}
// TermCriteria_New creates a new TermCriteria
TermCriteria TermCriteria_New(int typ, int maxCount, double epsilon) {
return new cv::TermCriteria(typ, maxCount, epsilon);
}
void Contours_Close(struct Contours cs) {
for (int i = 0; i < cs.length; i++) {
Points_Close(cs.contours[i]);
}
delete[] cs.contours;
}
void KeyPoints_Close(struct KeyPoints ks) {
delete[] ks.keypoints;
}
void Points_Close(Points ps) {
for (size_t i = 0; i < ps.length; i++) {
Point_Close(ps.points[i]);
}
delete[] ps.points;
}
void Point_Close(Point p) {}
void Rects_Close(struct Rects rs) {
delete[] rs.rects;
}
void DMatches_Close(struct DMatches ds) {
delete[] ds.dmatches;
}
void MultiDMatches_Close(struct MultiDMatches mds) {
for (size_t i = 0; i < mds.length; i++) {
DMatches_Close(mds.dmatches[i]);
}
delete[] mds.dmatches;
}
struct DMatches MultiDMatches_get(struct MultiDMatches mds, int index) {
return mds.dmatches[index];
}
// since it is next to impossible to iterate over mats.mats on the cgo side
Mat Mats_get(struct Mats mats, int i) {
return mats.mats[i];
}
void Mats_Close(struct Mats mats) {
delete[] mats.mats;
}
void ByteArray_Release(struct ByteArray buf) {
delete[] buf.data;
}
struct ByteArray toByteArray(const char* buf, int len) {
ByteArray ret = {new char[len], len};
memcpy(ret.data, buf, len);
return ret;
}
int64 GetCVTickCount() {
return cv::getTickCount();
}
double GetTickFrequency() {
return cv::getTickFrequency();
}