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mirror of https://github.com/opencv/opencv.git synced 2026-07-29 15:23:05 +04:00

fixed many bugs related to Mat::getUMat(), asynchronous kernel execution etc. Also, played a bit with ocl::cvtColor vs cv::cvtColor performance

This commit is contained in:
Vadim Pisarevsky
2013-12-01 03:12:19 +04:00
parent daefe6983f
commit 6da5d21331
10 changed files with 401 additions and 208 deletions
+135 -116
View File
@@ -48,147 +48,166 @@
namespace cv {
void MatAllocator::sync(UMatData*) const
{
}
void MatAllocator::map(UMatData*, int) const
{
}
void MatAllocator::unmap(UMatData* u) const
{
if(u->urefcount == 0 && u->refcount == 0)
deallocate(u);
}
void MatAllocator::download(UMatData* u, void* dstptr,
int dims, const size_t sz[],
const size_t srcofs[], const size_t srcstep[],
const size_t dststep[]) const
{
if(!u)
return;
int isz[CV_MAX_DIM];
uchar* srcptr = u->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( srcofs )
srcptr += srcofs[i]*(i <= dims-2 ? srcstep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
void MatAllocator::upload(UMatData* u, const void* srcptr, int dims, const size_t sz[],
const size_t dstofs[], const size_t dststep[],
const size_t srcstep[]) const
{
if(!u)
return;
int isz[CV_MAX_DIM];
uchar* dstptr = u->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( dstofs )
dstptr += dstofs[i]*(i <= dims-2 ? dststep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, (void*)srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
void MatAllocator::copy(UMatData* usrc, UMatData* udst, int dims, const size_t sz[],
const size_t srcofs[], const size_t srcstep[],
const size_t dstofs[], const size_t dststep[], bool sync) const
{
if(!usrc || !udst)
return;
int isz[CV_MAX_DIM];
uchar* srcptr = usrc->data;
uchar* dstptr = udst->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( srcofs )
srcptr += srcofs[i]*(i <= dims-2 ? srcstep[i] : 1);
if( dstofs )
dstptr += dstofs[i]*(i <= dims-2 ? dststep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
class StdMatAllocator : public MatAllocator
{
public:
UMatData* allocate(int dims, const int* sizes, int type, size_t* step) const
UMatData* allocate(int dims, const int* sizes, int type,
void* data0, size_t* step, int /*flags*/) const
{
size_t total = CV_ELEM_SIZE(type);
for( int i = dims-1; i >= 0; i-- )
{
if( step )
step[i] = total;
{
if( data0 && step[i] != CV_AUTOSTEP )
{
CV_Assert(total <= step[i]);
total = step[i];
}
else
step[i] = total;
}
total *= sizes[i];
}
uchar* data = (uchar*)fastMalloc(total);
uchar* data = data0 ? (uchar*)data0 : (uchar*)fastMalloc(total);
UMatData* u = new UMatData(this);
u->data = u->origdata = data;
u->size = total;
u->refcount = 1;
u->refcount = data0 == 0;
if(data0)
u->flags |= UMatData::USER_ALLOCATED;
return u;
}
bool allocate(UMatData* u, int accessFlags) const
bool allocate(UMatData* u, int /*accessFlags*/) const
{
if(!u) return false;
if(u->handle != 0)
return true;
return UMat::getStdAllocator()->allocate(u, accessFlags);
CV_XADD(&u->urefcount, 1);
return true;
}
void deallocate(UMatData* u) const
{
if(u)
if(u && u->refcount == 0)
{
fastFree(u->origdata);
if( !(u->flags & UMatData::USER_ALLOCATED) )
{
fastFree(u->origdata);
u->origdata = 0;
}
delete u;
}
}
void map(UMatData*, int) const
{
}
void unmap(UMatData* u) const
{
if(u->urefcount == 0)
deallocate(u);
}
void download(UMatData* u, void* dstptr,
int dims, const size_t sz[],
const size_t srcofs[], const size_t srcstep[],
const size_t dststep[]) const
{
if(!u)
return;
int isz[CV_MAX_DIM];
uchar* srcptr = u->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( srcofs )
srcptr += srcofs[i]*(i <= dims-2 ? srcstep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
void upload(UMatData* u, const void* srcptr, int dims, const size_t sz[],
const size_t dstofs[], const size_t dststep[],
const size_t srcstep[]) const
{
if(!u)
return;
int isz[CV_MAX_DIM];
uchar* dstptr = u->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( dstofs )
dstptr += dstofs[i]*(i <= dims-2 ? dststep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, (void*)srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
void copy(UMatData* usrc, UMatData* udst, int dims, const size_t sz[],
const size_t srcofs[], const size_t srcstep[],
const size_t dstofs[], const size_t dststep[], bool) const
{
if(!usrc || !udst)
return;
int isz[CV_MAX_DIM];
uchar* srcptr = usrc->data;
uchar* dstptr = udst->data;
for( int i = 0; i < dims; i++ )
{
CV_Assert( sz[i] <= (size_t)INT_MAX );
if( sz[i] == 0 )
return;
if( srcofs )
srcptr += srcofs[i]*(i <= dims-2 ? srcstep[i] : 1);
if( dstofs )
dstptr += dstofs[i]*(i <= dims-2 ? dststep[i] : 1);
isz[i] = (int)sz[i];
}
Mat src(dims, isz, CV_8U, srcptr, srcstep);
Mat dst(dims, isz, CV_8U, dstptr, dststep);
const Mat* arrays[] = { &src, &dst };
uchar* ptrs[2];
NAryMatIterator it(arrays, ptrs, 2);
size_t j, planesz = it.size;
for( j = 0; j < it.nplanes; j++, ++it )
memcpy(ptrs[1], ptrs[0], planesz);
}
};
@@ -364,13 +383,13 @@ void Mat::create(int d, const int* _sizes, int _type)
a = a0;
try
{
u = a->allocate(dims, size, _type, step.p);
u = a->allocate(dims, size, _type, 0, step.p, 0);
CV_Assert(u != 0);
}
catch(...)
{
if(a != a0)
u = a0->allocate(dims, size, _type, step.p);
u = a0->allocate(dims, size, _type, 0, step.p, 0);
CV_Assert(u != 0);
}
CV_Assert( step[dims-1] == (size_t)CV_ELEM_SIZE(flags) );