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test_arithm.cpp
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2018 lines (1797 loc) · 61.4 KB
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#include "test_precomp.hpp"
#include <cmath>
using namespace cv;
using namespace std;
namespace cvtest
{
const int ARITHM_NTESTS = 1000;
const int ARITHM_RNG_SEED = -1;
const int ARITHM_MAX_CHANNELS = 4;
const int ARITHM_MAX_NDIMS = 4;
const int ARITHM_MAX_SIZE_LOG = 10;
struct BaseElemWiseOp
{
enum { FIX_ALPHA=1, FIX_BETA=2, FIX_GAMMA=4, REAL_GAMMA=8, SUPPORT_MASK=16, SCALAR_OUTPUT=32, SUPPORT_MULTICHANNELMASK=64 };
BaseElemWiseOp(int _ninputs, int _flags, double _alpha, double _beta,
Scalar _gamma=Scalar::all(0), int _context=1)
: ninputs(_ninputs), flags(_flags), alpha(_alpha), beta(_beta), gamma(_gamma), context(_context) {}
BaseElemWiseOp() { flags = 0; alpha = beta = 0; gamma = Scalar::all(0); ninputs = 0; context = 1; }
virtual ~BaseElemWiseOp() {}
virtual void op(const vector<Mat>&, Mat&, const Mat&) {}
virtual void refop(const vector<Mat>&, Mat&, const Mat&) {}
virtual void getValueRange(int depth, double& minval, double& maxval)
{
minval = depth < CV_32S ? cvtest::getMinVal(depth) : depth == CV_32S ? -1000000 : -1000.;
maxval = depth < CV_32S ? cvtest::getMaxVal(depth) : depth == CV_32S ? 1000000 : 1000.;
}
virtual void getRandomSize(RNG& rng, vector<int>& size)
{
cvtest::randomSize(rng, 2, ARITHM_MAX_NDIMS, cvtest::ARITHM_MAX_SIZE_LOG, size);
}
virtual int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1,
ninputs > 1 ? ARITHM_MAX_CHANNELS : 4);
}
virtual double getMaxErr(int depth) { return depth < CV_32F ? 1 : depth == CV_32F ? 1e-5 : 1e-12; }
virtual void generateScalars(int depth, RNG& rng)
{
const double m = 3.;
if( !(flags & FIX_ALPHA) )
{
alpha = exp(rng.uniform(-0.5, 0.1)*m*2*CV_LOG2);
alpha *= rng.uniform(0, 2) ? 1 : -1;
}
if( !(flags & FIX_BETA) )
{
beta = exp(rng.uniform(-0.5, 0.1)*m*2*CV_LOG2);
beta *= rng.uniform(0, 2) ? 1 : -1;
}
if( !(flags & FIX_GAMMA) )
{
for( int i = 0; i < 4; i++ )
{
gamma[i] = exp(rng.uniform(-1, 6)*m*CV_LOG2);
gamma[i] *= rng.uniform(0, 2) ? 1 : -1;
}
if( flags & REAL_GAMMA )
gamma = Scalar::all(gamma[0]);
}
if( depth == CV_32F )
{
Mat fl, db;
db = Mat(1, 1, CV_64F, &alpha);
db.convertTo(fl, CV_32F);
fl.convertTo(db, CV_64F);
db = Mat(1, 1, CV_64F, &beta);
db.convertTo(fl, CV_32F);
fl.convertTo(db, CV_64F);
db = Mat(1, 4, CV_64F, &gamma[0]);
db.convertTo(fl, CV_32F);
fl.convertTo(db, CV_64F);
}
}
int ninputs;
int flags;
double alpha;
double beta;
Scalar gamma;
int context;
};
struct BaseAddOp : public BaseElemWiseOp
{
BaseAddOp(int _ninputs, int _flags, double _alpha, double _beta, Scalar _gamma=Scalar::all(0))
: BaseElemWiseOp(_ninputs, _flags, _alpha, _beta, _gamma) {}
void refop(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
Mat temp;
if( !mask.empty() )
{
cvtest::add(src[0], alpha, src.size() > 1 ? src[1] : Mat(), beta, gamma, temp, src[0].type());
cvtest::copy(temp, dst, mask);
}
else
cvtest::add(src[0], alpha, src.size() > 1 ? src[1] : Mat(), beta, gamma, dst, src[0].type());
}
};
struct AddOp : public BaseAddOp
{
AddOp() : BaseAddOp(2, FIX_ALPHA+FIX_BETA+FIX_GAMMA+SUPPORT_MASK, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
if( mask.empty() )
add(src[0], src[1], dst);
else
add(src[0], src[1], dst, mask);
}
};
struct SubOp : public BaseAddOp
{
SubOp() : BaseAddOp(2, FIX_ALPHA+FIX_BETA+FIX_GAMMA+SUPPORT_MASK, 1, -1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
if( mask.empty() )
subtract(src[0], src[1], dst);
else
subtract(src[0], src[1], dst, mask);
}
};
struct AddSOp : public BaseAddOp
{
AddSOp() : BaseAddOp(1, FIX_ALPHA+FIX_BETA+SUPPORT_MASK, 1, 0, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
if( mask.empty() )
add(src[0], gamma, dst);
else
add(src[0], gamma, dst, mask);
}
};
struct SubRSOp : public BaseAddOp
{
SubRSOp() : BaseAddOp(1, FIX_ALPHA+FIX_BETA+SUPPORT_MASK, -1, 0, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
if( mask.empty() )
subtract(gamma, src[0], dst);
else
subtract(gamma, src[0], dst, mask);
}
};
struct ScaleAddOp : public BaseAddOp
{
ScaleAddOp() : BaseAddOp(2, FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
scaleAdd(src[0], alpha, src[1], dst);
}
double getMaxErr(int depth)
{
return depth <= CV_32S ? 2 : depth < CV_64F ? 1e-4 : 1e-12;
}
};
struct AddWeightedOp : public BaseAddOp
{
AddWeightedOp() : BaseAddOp(2, REAL_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
addWeighted(src[0], alpha, src[1], beta, gamma[0], dst);
}
double getMaxErr(int depth)
{
return depth <= CV_32S ? 2 : depth < CV_64F ? 1e-5 : 1e-10;
}
};
struct MulOp : public BaseElemWiseOp
{
MulOp() : BaseElemWiseOp(2, FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void getValueRange(int depth, double& minval, double& maxval)
{
minval = depth < CV_32S ? cvtest::getMinVal(depth) : depth == CV_32S ? -1000000 : -1000.;
maxval = depth < CV_32S ? cvtest::getMaxVal(depth) : depth == CV_32S ? 1000000 : 1000.;
minval = std::max(minval, -30000.);
maxval = std::min(maxval, 30000.);
}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::multiply(src[0], src[1], dst, alpha);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::multiply(src[0], src[1], dst, alpha);
}
double getMaxErr(int depth)
{
return depth <= CV_32S ? 2 : depth < CV_64F ? 1e-5 : 1e-12;
}
};
struct DivOp : public BaseElemWiseOp
{
DivOp() : BaseElemWiseOp(2, FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::divide(src[0], src[1], dst, alpha);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::divide(src[0], src[1], dst, alpha);
}
double getMaxErr(int depth)
{
return depth <= CV_32S ? 2 : depth < CV_64F ? 1e-5 : 1e-12;
}
};
struct RecipOp : public BaseElemWiseOp
{
RecipOp() : BaseElemWiseOp(1, FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::divide(alpha, src[0], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::divide(Mat(), src[0], dst, alpha);
}
double getMaxErr(int depth)
{
return depth <= CV_32S ? 2 : depth < CV_64F ? 1e-5 : 1e-12;
}
};
struct AbsDiffOp : public BaseAddOp
{
AbsDiffOp() : BaseAddOp(2, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, -1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
absdiff(src[0], src[1], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::add(src[0], 1, src[1], -1, Scalar::all(0), dst, src[0].type(), true);
}
};
struct AbsDiffSOp : public BaseAddOp
{
AbsDiffSOp() : BaseAddOp(1, FIX_ALPHA+FIX_BETA, 1, 0, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
absdiff(src[0], gamma, dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::add(src[0], 1, Mat(), 0, -gamma, dst, src[0].type(), true);
}
};
struct LogicOp : public BaseElemWiseOp
{
LogicOp(char _opcode) : BaseElemWiseOp(2, FIX_ALPHA+FIX_BETA+FIX_GAMMA+SUPPORT_MASK, 1, 1, Scalar::all(0)), opcode(_opcode) {}
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
if( opcode == '&' )
bitwise_and(src[0], src[1], dst, mask);
else if( opcode == '|' )
bitwise_or(src[0], src[1], dst, mask);
else
bitwise_xor(src[0], src[1], dst, mask);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
Mat temp;
if( !mask.empty() )
{
cvtest::logicOp(src[0], src[1], temp, opcode);
cvtest::copy(temp, dst, mask);
}
else
cvtest::logicOp(src[0], src[1], dst, opcode);
}
double getMaxErr(int)
{
return 0;
}
char opcode;
};
struct LogicSOp : public BaseElemWiseOp
{
LogicSOp(char _opcode)
: BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+(_opcode != '~' ? SUPPORT_MASK : 0), 1, 1, Scalar::all(0)), opcode(_opcode) {}
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
if( opcode == '&' )
bitwise_and(src[0], gamma, dst, mask);
else if( opcode == '|' )
bitwise_or(src[0], gamma, dst, mask);
else if( opcode == '^' )
bitwise_xor(src[0], gamma, dst, mask);
else
bitwise_not(src[0], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
Mat temp;
if( !mask.empty() )
{
cvtest::logicOp(src[0], gamma, temp, opcode);
cvtest::copy(temp, dst, mask);
}
else
cvtest::logicOp(src[0], gamma, dst, opcode);
}
double getMaxErr(int)
{
return 0;
}
char opcode;
};
struct MinOp : public BaseElemWiseOp
{
MinOp() : BaseElemWiseOp(2, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::min(src[0], src[1], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::min(src[0], src[1], dst);
}
double getMaxErr(int)
{
return 0;
}
};
struct MaxOp : public BaseElemWiseOp
{
MaxOp() : BaseElemWiseOp(2, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::max(src[0], src[1], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::max(src[0], src[1], dst);
}
double getMaxErr(int)
{
return 0;
}
};
struct MinSOp : public BaseElemWiseOp
{
MinSOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+REAL_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::min(src[0], gamma[0], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::min(src[0], gamma[0], dst);
}
double getMaxErr(int)
{
return 0;
}
};
struct MaxSOp : public BaseElemWiseOp
{
MaxSOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+REAL_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::max(src[0], gamma[0], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::max(src[0], gamma[0], dst);
}
double getMaxErr(int)
{
return 0;
}
};
struct CmpOp : public BaseElemWiseOp
{
CmpOp() : BaseElemWiseOp(2, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) { cmpop = 0; }
void generateScalars(int depth, RNG& rng)
{
BaseElemWiseOp::generateScalars(depth, rng);
cmpop = rng.uniform(0, 6);
}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::compare(src[0], src[1], dst, cmpop);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::compare(src[0], src[1], dst, cmpop);
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1, 1);
}
double getMaxErr(int)
{
return 0;
}
int cmpop;
};
struct CmpSOp : public BaseElemWiseOp
{
CmpSOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+REAL_GAMMA, 1, 1, Scalar::all(0)) { cmpop = 0; }
void generateScalars(int depth, RNG& rng)
{
BaseElemWiseOp::generateScalars(depth, rng);
cmpop = rng.uniform(0, 6);
if( depth < CV_32F )
gamma[0] = cvRound(gamma[0]);
}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::compare(src[0], gamma[0], dst, cmpop);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::compare(src[0], gamma[0], dst, cmpop);
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL_BUT_8S, 1, 1);
}
double getMaxErr(int)
{
return 0;
}
int cmpop;
};
struct CopyOp : public BaseElemWiseOp
{
CopyOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+FIX_GAMMA+SUPPORT_MASK+SUPPORT_MULTICHANNELMASK, 1, 1, Scalar::all(0)) { }
void op(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
src[0].copyTo(dst, mask);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat& mask)
{
cvtest::copy(src[0], dst, mask);
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
}
double getMaxErr(int)
{
return 0;
}
};
struct SetOp : public BaseElemWiseOp
{
SetOp() : BaseElemWiseOp(0, FIX_ALPHA+FIX_BETA+SUPPORT_MASK+SUPPORT_MULTICHANNELMASK, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>&, Mat& dst, const Mat& mask)
{
dst.setTo(gamma, mask);
}
void refop(const vector<Mat>&, Mat& dst, const Mat& mask)
{
cvtest::set(dst, gamma, mask);
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
}
double getMaxErr(int)
{
return 0;
}
};
template<typename _Tp, typename _WTp> static void
inRangeS_(const _Tp* src, const _WTp* a, const _WTp* b, uchar* dst, size_t total, int cn)
{
size_t i;
int c;
for( i = 0; i < total; i++ )
{
_Tp val = src[i*cn];
dst[i] = (a[0] <= val && val <= b[0]) ? uchar(255) : 0;
}
for( c = 1; c < cn; c++ )
{
for( i = 0; i < total; i++ )
{
_Tp val = src[i*cn + c];
dst[i] = a[c] <= val && val <= b[c] ? dst[i] : 0;
}
}
}
template<typename _Tp> static void inRange_(const _Tp* src, const _Tp* a, const _Tp* b, uchar* dst, size_t total, int cn)
{
size_t i;
int c;
for( i = 0; i < total; i++ )
{
_Tp val = src[i*cn];
dst[i] = a[i*cn] <= val && val <= b[i*cn] ? 255 : 0;
}
for( c = 1; c < cn; c++ )
{
for( i = 0; i < total; i++ )
{
_Tp val = src[i*cn + c];
dst[i] = a[i*cn + c] <= val && val <= b[i*cn + c] ? dst[i] : 0;
}
}
}
static void inRange(const Mat& src, const Mat& lb, const Mat& rb, Mat& dst)
{
CV_Assert( src.type() == lb.type() && src.type() == rb.type() &&
src.size == lb.size && src.size == rb.size );
dst.create( src.dims, &src.size[0], CV_8U );
const Mat *arrays[]={&src, &lb, &rb, &dst, 0};
Mat planes[4];
NAryMatIterator it(arrays, planes);
size_t total = planes[0].total();
size_t i, nplanes = it.nplanes;
int depth = src.depth(), cn = src.channels();
for( i = 0; i < nplanes; i++, ++it )
{
const uchar* sptr = planes[0].ptr();
const uchar* aptr = planes[1].ptr();
const uchar* bptr = planes[2].ptr();
uchar* dptr = planes[3].ptr();
switch( depth )
{
case CV_8U:
inRange_((const uchar*)sptr, (const uchar*)aptr, (const uchar*)bptr, dptr, total, cn);
break;
case CV_8S:
inRange_((const schar*)sptr, (const schar*)aptr, (const schar*)bptr, dptr, total, cn);
break;
case CV_16U:
inRange_((const ushort*)sptr, (const ushort*)aptr, (const ushort*)bptr, dptr, total, cn);
break;
case CV_16S:
inRange_((const short*)sptr, (const short*)aptr, (const short*)bptr, dptr, total, cn);
break;
case CV_32S:
inRange_((const int*)sptr, (const int*)aptr, (const int*)bptr, dptr, total, cn);
break;
case CV_32F:
inRange_((const float*)sptr, (const float*)aptr, (const float*)bptr, dptr, total, cn);
break;
case CV_64F:
inRange_((const double*)sptr, (const double*)aptr, (const double*)bptr, dptr, total, cn);
break;
default:
CV_Error(CV_StsUnsupportedFormat, "");
}
}
}
static void inRangeS(const Mat& src, const Scalar& lb, const Scalar& rb, Mat& dst)
{
dst.create( src.dims, &src.size[0], CV_8U );
const Mat *arrays[]={&src, &dst, 0};
Mat planes[2];
NAryMatIterator it(arrays, planes);
size_t total = planes[0].total();
size_t i, nplanes = it.nplanes;
int depth = src.depth(), cn = src.channels();
union { double d[4]; float f[4]; int i[4];} lbuf, rbuf;
int wtype = CV_MAKETYPE(depth <= CV_32S ? CV_32S : depth, cn);
scalarToRawData(lb, lbuf.d, wtype, cn);
scalarToRawData(rb, rbuf.d, wtype, cn);
for( i = 0; i < nplanes; i++, ++it )
{
const uchar* sptr = planes[0].ptr();
uchar* dptr = planes[1].ptr();
switch( depth )
{
case CV_8U:
inRangeS_((const uchar*)sptr, lbuf.i, rbuf.i, dptr, total, cn);
break;
case CV_8S:
inRangeS_((const schar*)sptr, lbuf.i, rbuf.i, dptr, total, cn);
break;
case CV_16U:
inRangeS_((const ushort*)sptr, lbuf.i, rbuf.i, dptr, total, cn);
break;
case CV_16S:
inRangeS_((const short*)sptr, lbuf.i, rbuf.i, dptr, total, cn);
break;
case CV_32S:
inRangeS_((const int*)sptr, lbuf.i, rbuf.i, dptr, total, cn);
break;
case CV_32F:
inRangeS_((const float*)sptr, lbuf.f, rbuf.f, dptr, total, cn);
break;
case CV_64F:
inRangeS_((const double*)sptr, lbuf.d, rbuf.d, dptr, total, cn);
break;
default:
CV_Error(CV_StsUnsupportedFormat, "");
}
}
}
struct InRangeSOp : public BaseElemWiseOp
{
InRangeSOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::inRange(src[0], gamma, gamma1, dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::inRangeS(src[0], gamma, gamma1, dst);
}
double getMaxErr(int)
{
return 0;
}
void generateScalars(int depth, RNG& rng)
{
BaseElemWiseOp::generateScalars(depth, rng);
Scalar temp = gamma;
BaseElemWiseOp::generateScalars(depth, rng);
for( int i = 0; i < 4; i++ )
{
gamma1[i] = std::max(gamma[i], temp[i]);
gamma[i] = std::min(gamma[i], temp[i]);
}
}
Scalar gamma1;
};
struct InRangeOp : public BaseElemWiseOp
{
InRangeOp() : BaseElemWiseOp(3, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
Mat lb, rb;
cvtest::min(src[1], src[2], lb);
cvtest::max(src[1], src[2], rb);
cv::inRange(src[0], lb, rb, dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
Mat lb, rb;
cvtest::min(src[1], src[2], lb);
cvtest::max(src[1], src[2], rb);
cvtest::inRange(src[0], lb, rb, dst);
}
double getMaxErr(int)
{
return 0;
}
};
struct ConvertScaleOp : public BaseElemWiseOp
{
ConvertScaleOp() : BaseElemWiseOp(1, FIX_BETA+REAL_GAMMA, 1, 1, Scalar::all(0)), ddepth(0) { }
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
src[0].convertTo(dst, ddepth, alpha, gamma[0]);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::convert(src[0], dst, CV_MAKETYPE(ddepth, src[0].channels()), alpha, gamma[0]);
}
int getRandomType(RNG& rng)
{
int srctype = cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, ARITHM_MAX_CHANNELS);
ddepth = cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1, 1);
return srctype;
}
double getMaxErr(int)
{
return ddepth <= CV_32S ? 2 : ddepth < CV_64F ? 1e-3 : 1e-12;
}
void generateScalars(int depth, RNG& rng)
{
if( rng.uniform(0, 2) )
BaseElemWiseOp::generateScalars(depth, rng);
else
{
alpha = 1;
gamma = Scalar::all(0);
}
}
int ddepth;
};
struct ConvertScaleFp16Op : public BaseElemWiseOp
{
ConvertScaleFp16Op() : BaseElemWiseOp(1, FIX_BETA+REAL_GAMMA, 1, 1, Scalar::all(0)), nextRange(0) { }
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
Mat m;
convertFp16(src[0], m);
convertFp16(m, dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::copy(src[0], dst);
}
int getRandomType(RNG&)
{
// 0: FP32 -> FP16 -> FP32
// 1: FP16 -> FP32 -> FP16
int srctype = (nextRange & 1) == 0 ? CV_32F : CV_16S;
return srctype;
}
void getValueRange(int, double& minval, double& maxval)
{
// 0: FP32 -> FP16 -> FP32
// 1: FP16 -> FP32 -> FP16
if( (nextRange & 1) == 0 )
{
// largest integer number that fp16 can express exactly
maxval = 2048.f;
minval = -maxval;
}
else
{
// 0: positive number range
// 1: negative number range
if( (nextRange & 2) == 0 )
{
minval = 0; // 0x0000 +0
maxval = 31744; // 0x7C00 +Inf
}
else
{
minval = -32768; // 0x8000 -0
maxval = -1024; // 0xFC00 -Inf
}
}
}
double getMaxErr(int)
{
return 0.5f;
}
void generateScalars(int, RNG& rng)
{
nextRange = rng.next();
}
int nextRange;
};
struct ConvertScaleAbsOp : public BaseElemWiseOp
{
ConvertScaleAbsOp() : BaseElemWiseOp(1, FIX_BETA+REAL_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::convertScaleAbs(src[0], dst, alpha, gamma[0]);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::add(src[0], alpha, Mat(), 0, Scalar::all(gamma[0]), dst, CV_8UC(src[0].channels()), true);
}
int getRandomType(RNG& rng)
{
return cvtest::randomType(rng, _OutputArray::DEPTH_MASK_ALL, 1,
ninputs > 1 ? ARITHM_MAX_CHANNELS : 4);
}
double getMaxErr(int)
{
return 1;
}
void generateScalars(int depth, RNG& rng)
{
if( rng.uniform(0, 2) )
BaseElemWiseOp::generateScalars(depth, rng);
else
{
alpha = 1;
gamma = Scalar::all(0);
}
}
};
static void flip(const Mat& src, Mat& dst, int flipcode)
{
CV_Assert(src.dims == 2);
dst.create(src.size(), src.type());
int i, j, k, esz = (int)src.elemSize(), width = src.cols*esz;
for( i = 0; i < dst.rows; i++ )
{
const uchar* sptr = src.ptr(flipcode == 1 ? i : dst.rows - i - 1);
uchar* dptr = dst.ptr(i);
if( flipcode == 0 )
memcpy(dptr, sptr, width);
else
{
for( j = 0; j < width; j += esz )
for( k = 0; k < esz; k++ )
dptr[j + k] = sptr[width - j - esz + k];
}
}
}
static void setIdentity(Mat& dst, const Scalar& s)
{
CV_Assert( dst.dims == 2 && dst.channels() <= 4 );
double buf[4];
scalarToRawData(s, buf, dst.type(), 0);
int i, k, esz = (int)dst.elemSize(), width = dst.cols*esz;
for( i = 0; i < dst.rows; i++ )
{
uchar* dptr = dst.ptr(i);
memset( dptr, 0, width );
if( i < dst.cols )
for( k = 0; k < esz; k++ )
dptr[i*esz + k] = ((uchar*)buf)[k];
}
}
struct FlipOp : public BaseElemWiseOp
{
FlipOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) { flipcode = 0; }
void getRandomSize(RNG& rng, vector<int>& size)
{
cvtest::randomSize(rng, 2, 2, cvtest::ARITHM_MAX_SIZE_LOG, size);
}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::flip(src[0], dst, flipcode);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::flip(src[0], dst, flipcode);
}
void generateScalars(int, RNG& rng)
{
flipcode = rng.uniform(0, 3) - 1;
}
double getMaxErr(int)
{
return 0;
}
int flipcode;
};
struct TransposeOp : public BaseElemWiseOp
{
TransposeOp() : BaseElemWiseOp(1, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void getRandomSize(RNG& rng, vector<int>& size)
{
cvtest::randomSize(rng, 2, 2, cvtest::ARITHM_MAX_SIZE_LOG, size);
}
void op(const vector<Mat>& src, Mat& dst, const Mat&)
{
cv::transpose(src[0], dst);
}
void refop(const vector<Mat>& src, Mat& dst, const Mat&)
{
cvtest::transpose(src[0], dst);
}
double getMaxErr(int)
{
return 0;
}
};
struct SetIdentityOp : public BaseElemWiseOp
{
SetIdentityOp() : BaseElemWiseOp(0, FIX_ALPHA+FIX_BETA, 1, 1, Scalar::all(0)) {}
void getRandomSize(RNG& rng, vector<int>& size)
{
cvtest::randomSize(rng, 2, 2, cvtest::ARITHM_MAX_SIZE_LOG, size);
}
void op(const vector<Mat>&, Mat& dst, const Mat&)
{
cv::setIdentity(dst, gamma);
}
void refop(const vector<Mat>&, Mat& dst, const Mat&)
{
cvtest::setIdentity(dst, gamma);
}
double getMaxErr(int)
{
return 0;
}
};
struct SetZeroOp : public BaseElemWiseOp
{
SetZeroOp() : BaseElemWiseOp(0, FIX_ALPHA+FIX_BETA+FIX_GAMMA, 1, 1, Scalar::all(0)) {}
void op(const vector<Mat>&, Mat& dst, const Mat&)
{
dst = Scalar::all(0);
}
void refop(const vector<Mat>&, Mat& dst, const Mat&)
{
cvtest::set(dst, Scalar::all(0));
}
double getMaxErr(int)
{
return 0;
}
};
static void exp(const Mat& src, Mat& dst)
{
dst.create( src.dims, &src.size[0], src.type() );
const Mat *arrays[]={&src, &dst, 0};
Mat planes[2];
NAryMatIterator it(arrays, planes);
size_t j, total = planes[0].total()*src.channels();
size_t i, nplanes = it.nplanes;
int depth = src.depth();
for( i = 0; i < nplanes; i++, ++it )
{
const uchar* sptr = planes[0].ptr();
uchar* dptr = planes[1].ptr();
if( depth == CV_32F )
{
for( j = 0; j < total; j++ )
((float*)dptr)[j] = std::exp(((const float*)sptr)[j]);
}
else if( depth == CV_64F )
{
for( j = 0; j < total; j++ )
((double*)dptr)[j] = std::exp(((const double*)sptr)[j]);
}
}
}
static void log(const Mat& src, Mat& dst)
{
dst.create( src.dims, &src.size[0], src.type() );
const Mat *arrays[]={&src, &dst, 0};
Mat planes[2];
NAryMatIterator it(arrays, planes);
size_t j, total = planes[0].total()*src.channels();
size_t i, nplanes = it.nplanes;
int depth = src.depth();
for( i = 0; i < nplanes; i++, ++it )
{
const uchar* sptr = planes[0].ptr();
uchar* dptr = planes[1].ptr();