Reduced some tegra stubs
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a98d6b6217
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913d4541a5
@ -2839,6 +2839,11 @@ void cv::warpAffine( InputArray _src, OutputArray _dst,
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CV_Assert( (M0.type() == CV_32F || M0.type() == CV_64F) && M0.rows == 2 && M0.cols == 3 );
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M0.convertTo(matM, matM.type());
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if( tegra::warpAffine(src, dst, M, flags, borderType, borderValue) )
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return;
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#endif
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if( !(flags & WARP_INVERSE_MAP) )
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{
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double D = M[0]*M[4] - M[1]*M[3];
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@ -2851,22 +2856,6 @@ void cv::warpAffine( InputArray _src, OutputArray _dst,
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M[2] = b1; M[5] = b2;
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}
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if (borderType == BORDER_REPLICATE)
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{
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if( tegra::warpAffine(src, dst, M, interpolation, borderType, borderValue) )
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return;
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}
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else
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{
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double warp_mat[6];
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Mat warp_m(2, 3, CV_64F, warp_mat);
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M0.convertTo(warp_m, warp_m.type());
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if( tegra::warpAffine(src, dst, warp_mat, interpolation, borderType, borderValue) )
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return;
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}
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#endif
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int x, y, x1, y1, width = dst.cols, height = dst.rows;
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AutoBuffer<int> _abdelta(width*2);
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int* adelta = &_abdelta[0], *bdelta = adelta + width;
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@ -2995,14 +2984,14 @@ void cv::warpPerspective( InputArray _src, OutputArray _dst, InputArray _M0,
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CV_Assert( (M0.type() == CV_32F || M0.type() == CV_64F) && M0.rows == 3 && M0.cols == 3 );
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M0.convertTo(matM, matM.type());
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if( !(flags & WARP_INVERSE_MAP) )
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invert(matM, matM);
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if( tegra::warpPerspective(src, dst, M, interpolation, borderType, borderValue) )
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if( tegra::warpPerspective(src, dst, M, flags, borderType, borderValue) )
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return;
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#endif
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if( !(flags & WARP_INVERSE_MAP) )
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invert(matM, matM);
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int x, y, x1, y1, width = dst.cols, height = dst.rows;
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int bh0 = std::min(BLOCK_SZ/2, height);
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@ -60,39 +60,8 @@ thresh_8u( const Mat& _src, Mat& _dst, uchar thresh, uchar maxval, int type )
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}
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#ifdef HAVE_TEGRA_OPTIMIZATION
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switch( type )
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{
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case THRESH_BINARY:
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if(tegra::thresh_8u_binary(_src, _dst, roi.width, roi.height, thresh, maxval))
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{
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if (tegra::thresh_8u(_src, _dst, roi.width, roi.height, thresh, maxval, type))
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return;
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}
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break;
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case THRESH_BINARY_INV:
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if(tegra::thresh_8u_binary_inv(_src, _dst, roi.width, roi.height, thresh, maxval))
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{
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return;
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}
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break;
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case THRESH_TRUNC:
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if(tegra::thresh_8u_trunc(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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case THRESH_TOZERO:
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if(tegra::thresh_8u_tozero(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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case THRESH_TOZERO_INV:
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if(tegra::thresh_8u_tozero_inv(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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}
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#endif
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switch( type )
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@ -264,7 +233,7 @@ thresh_8u( const Mat& _src, Mat& _dst, uchar thresh, uchar maxval, int type )
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const uchar* src = (const uchar*)(_src.data + _src.step*i);
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uchar* dst = (uchar*)(_dst.data + _dst.step*i);
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j = j_scalar;
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#if CV_ENABLE_UNROLLED
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#if CV_ENABLE_UNROLLED
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for( ; j <= roi.width - 4; j += 4 )
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{
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uchar t0 = tab[src[j]];
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@ -279,7 +248,7 @@ thresh_8u( const Mat& _src, Mat& _dst, uchar thresh, uchar maxval, int type )
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dst[j+2] = t0;
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dst[j+3] = t1;
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}
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#endif
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#endif
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for( ; j < roi.width; j++ )
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dst[j] = tab[src[j]];
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}
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@ -307,41 +276,12 @@ thresh_16s( const Mat& _src, Mat& _dst, short thresh, short maxval, int type )
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roi.width *= roi.height;
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roi.height = 1;
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}
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#ifdef HAVE_TEGRA_OPTIMIZATION
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switch( type )
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{
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case THRESH_BINARY:
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if(tegra::thresh_16s_binary(_src, _dst, roi.width, roi.height, thresh, maxval))
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{
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if (tegra::thresh_16s(_src, _dst, roi.width, roi.height, thresh, maxval, type))
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return;
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}
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break;
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case THRESH_BINARY_INV:
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if(tegra::thresh_16s_binary_inv(_src, _dst, roi.width, roi.height, thresh, maxval))
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{
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return;
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}
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break;
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case THRESH_TRUNC:
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if(tegra::thresh_16s_trunc(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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case THRESH_TOZERO:
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if(tegra::thresh_16s_tozero(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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case THRESH_TOZERO_INV:
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if(tegra::thresh_16s_tozero_inv(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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}
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#endif
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switch( type )
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{
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case THRESH_BINARY:
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@ -510,40 +450,10 @@ thresh_32f( const Mat& _src, Mat& _dst, float thresh, float maxval, int type )
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}
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#ifdef HAVE_TEGRA_OPTIMIZATION
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switch( type )
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{
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case THRESH_BINARY:
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if(tegra::thresh_32f_binary(_src, _dst, roi.width, roi.height, thresh, maxval))
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{
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if (tegra::thresh_32f(_src, _dst, roi.width, roi.height, thresh, maxval, type))
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return;
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}
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break;
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case THRESH_BINARY_INV:
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if(tegra::thresh_32f_binary_inv(_src, _dst, roi.width, roi.height, thresh, maxval))
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{
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return;
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}
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break;
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case THRESH_TRUNC:
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if(tegra::thresh_32f_trunc(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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case THRESH_TOZERO:
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if(tegra::thresh_32f_tozero(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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case THRESH_TOZERO_INV:
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if(tegra::thresh_32f_tozero_inv(_src, _dst, roi.width, roi.height, thresh))
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{
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return;
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}
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break;
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}
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#endif
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switch( type )
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{
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case THRESH_BINARY:
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@ -820,7 +730,7 @@ double cv::threshold( InputArray _src, OutputArray _dst, double thresh, double m
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Mat dst = _dst.getMat();
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int nStripes = 1;
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#if defined HAVE_TBB && defined HAVE_TEGRA_OPTIMIZATION
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#if defined HAVE_TBB && defined ANDROID
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nStripes = 4;
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#endif
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@ -849,7 +759,6 @@ double cv::threshold( InputArray _src, OutputArray _dst, double thresh, double m
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}
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else
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{
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//thresh_8u( src, dst, (uchar)ithresh, (uchar)imaxval, type );
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parallel_for(BlockedRange(0, nStripes),
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ThresholdRunner(src, dst, nStripes, (uchar)ithresh, (uchar)imaxval, type));
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}
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@ -879,14 +788,12 @@ double cv::threshold( InputArray _src, OutputArray _dst, double thresh, double m
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}
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else
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{
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//thresh_16s( src, dst, (short)ithresh, (short)imaxval, type );
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parallel_for(BlockedRange(0, nStripes),
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ThresholdRunner(src, dst, nStripes, (short)ithresh, (short)imaxval, type));
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}
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}
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else if( src.depth() == CV_32F )
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{
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//thresh_32f( src, dst, (float)thresh, (float)maxval, type );
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parallel_for(BlockedRange(0, nStripes),
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ThresholdRunner(src, dst, nStripes, (float)thresh, (float)maxval, type));
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}
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