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Improved string handling. Swapped transpose interface for slow but correct implementation. Will come back to optimized implementation later. imshow now works correctly

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This commit is contained in:
hbristow 2013-07-12 15:48:03 +10:00
parent 346f7d0f3e
commit 603d949354
2 changed files with 33 additions and 13 deletions
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45
modules/matlab/include/mxarray.hpp
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@ -411,20 +411,19 @@ public:
const Scalar* imag() const { return static_cast<const Scalar *>(mxGetData(ptr_)); }
template <typename Scalar>
Scalar scalar() const { return static_cast<Scalar *>(mxGetData(ptr_))[0]; }
Scalar scalar() const { return static_cast<double *>(mxGetData(ptr_))[0]; }
std::string toString() const {
conditionalError(isString(), "Attempted to convert non-string type to string");
std::string str;
str.reserve(size()+1);
std::string str(size()+1, '\0');
mxGetString(ptr_, const_cast<char *>(str.data()), str.size());
mexPrintf(str.c_str());
mexPrintf("string: %s\n", str.c_str());
return str;
}
size_t size() const { return mxGetNumberOfElements(ptr_); }
size_t rows() const { return mxGetM(ptr_); }
size_t cols() const { return mxGetN(ptr_); }
size_t rows() const { return mxGetDimensions(ptr_)[0]; }
size_t cols() const { return mxGetDimensions(ptr_)[1]; }
size_t channels() const { return (mxGetNumberOfDimensions(ptr_) > 2) ? mxGetDimensions(ptr_)[2] : 1; }
bool isComplex() const { return mxIsComplex(ptr_); }
bool isNumeric() const { return mxIsNumeric(ptr_); }
@ -475,7 +474,7 @@ template <>
cv::Mat MxArray::toMat<Matlab::InheritType>() const {
switch (ID()) {
case mxINT8_CLASS: return toMat<int8_t>();
case mxUINT8_CLASS: return toMat<uint8_t>();;
case mxUINT8_CLASS: return toMat<uint8_t>();
case mxINT16_CLASS: return toMat<int16_t>();
case mxUINT16_CLASS: return toMat<uint16_t>();
case mxINT32_CLASS: return toMat<int32_t>();
@ -503,9 +502,18 @@ void deepCopyAndTranspose(const cv::Mat& in, MxArray& out) {
conditionalError(static_cast<size_t>(in.rows) == out.rows(), "Matrices must have the same number of rows");
conditionalError(static_cast<size_t>(in.cols) == out.cols(), "Matrices must have the same number of cols");
conditionalError(static_cast<size_t>(in.channels()) == out.channels(), "Matrices must have the same number of channels");
const InputScalar* inp = in.ptr<InputScalar>(0);
OutputScalar* outp = out.real<OutputScalar>();
gemt('R', out.rows(), out.cols(), inp, in.step1(), outp, out.rows());
std::vector<cv::Mat> channels;
cv::split(in, channels);
for (size_t c = 0; c < out.channels(); ++c) {
cv::transpose(channels[c], channels[c]);
cv::Mat outmat(out.cols(), out.rows(), cv::DataType<OutputScalar>::type,
static_cast<void *>(out.real<OutputScalar>() + out.cols()*out.rows()*c));
channels[c].convertTo(outmat, cv::DataType<OutputScalar>::type);
}
//const InputScalar* inp = in.ptr<InputScalar>(0);
//OutputScalar* outp = out.real<OutputScalar>();
//gemt('R', out.rows(), out.cols(), inp, in.step1(), outp, out.rows());
}
template <typename InputScalar, typename OutputScalar>
@ -513,9 +521,20 @@ void deepCopyAndTranspose(const MxArray& in, cv::Mat& out) {
conditionalError(in.rows() == static_cast<size_t>(out.rows), "Matrices must have the same number of rows");
conditionalError(in.cols() == static_cast<size_t>(out.cols), "Matrices must have the same number of cols");
conditionalError(in.channels() == static_cast<size_t>(out.channels()), "Matrices must have the same number of channels");
const InputScalar* inp = in.real<InputScalar>();
OutputScalar* outp = out.ptr<OutputScalar>(0);
gemt('C', in.rows(), in.cols(), inp, in.rows(), outp, out.step1());
std::vector<cv::Mat> channels;
for (size_t c = 0; c < in.channels(); ++c) {
cv::Mat outmat;
cv::Mat inmat(in.cols(), in.rows(), cv::DataType<InputScalar>::type,
static_cast<void *>(const_cast<InputScalar *>(in.real<InputScalar>() + in.cols()*in.rows()*c)));
inmat.convertTo(outmat, cv::DataType<OutputScalar>::type);
cv::transpose(outmat, outmat);
channels.push_back(outmat);
}
cv::merge(channels, out);
//const InputScalar* inp = in.real<InputScalar>();
//OutputScalar* outp = out.ptr<OutputScalar>(0);
//gemt('C', in.rows(), in.cols(), inp, in.rows(), outp, out.step1());
}

1
modules/matlab/include/transpose.hpp
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@ -35,6 +35,7 @@ void transpose4x4(const InputScalar* src, size_t lda, OutputScalar* dst, size_t
*/
template <typename InputScalar, typename OutputScalar>
void gemt(const char major, const size_t M, const size_t N, const InputScalar* a, size_t lda, OutputScalar* b, size_t ldb) {
// 1x1 transpose is just copy
if (M == 1 && N == 1) { *b = *a; return; }