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Merge pull request #2849 from ElenaGvozdeva:ocl_matchTemplate_3cn
This commit is contained in:
commit
04628d770c
@ -35,6 +35,8 @@
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#define SQSUMS_PTR(ox, oy) mad24(y + oy, src_sqsums_step, mad24(x + ox, cn, src_sqsums_offset))
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#define SUMS_PTR(ox, oy) mad24(y + oy, src_sums_step, mad24(x + ox, cn, src_sums_offset))
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#define SUMS(ox, oy) mad24(y+oy, src_sums_step, mad24(x+ox, (int)sizeof(T1)*cn, src_sums_offset))
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#define SQ_SUMS(ox, oy) mad24(y+oy, src_sqsums_step, mad24(x+ox, (int)sizeof(T1)*cn, src_sqsums_offset))
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inline float normAcc(float num, float denum)
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{
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@ -60,10 +62,20 @@ inline float normAcc_SQDIFF(float num, float denum)
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#define convertToDT(value) (float)(value)
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#elif cn == 2
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#define convertToDT(value) (float)(value.x + value.y)
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#elif cn == 3
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#define convertToDT(value) (float)(value.x + value.y + value.z)
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#elif cn == 4
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#define convertToDT(value) (float)(value.x + value.y + value.z + value.w)
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#else
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#error "cn should be 1, 2 or 4"
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#error "cn should be 1-4"
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#endif
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#if cn != 3
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#define loadpix(addr) *(__global const T *)(addr)
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#define TSIZE (int)sizeof(T)
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#else
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#define loadpix(addr) vload3(0, (__global const T1 *)(addr))
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#define TSIZE ((int)sizeof(T1)*3)
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#endif
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#ifdef CALC_SUM
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@ -78,10 +90,10 @@ __kernel void calcSum(__global const uchar * srcptr, int src_step, int src_offse
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for ( ; id < total; id += WGS)
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{
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int src_index = mad24(id / cols, src_step, mad24(id % cols, (int)sizeof(T), src_offset));
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__global const T * src = (__global const T *)(srcptr + src_index);
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int src_index = mad24(id / cols, src_step, mad24(id % cols, TSIZE, src_offset));
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T src = loadpix(srcptr + src_index);
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tmp = convertToWT(src[0]);
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tmp = convertToWT(src);
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#if wdepth == 4
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accumulator = mad24(tmp, tmp, accumulator);
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#else
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@ -113,6 +125,40 @@ __kernel void calcSum(__global const uchar * srcptr, int src_step, int src_offse
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#elif defined CCORR
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#if cn==3
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__kernel void matchTemplate_Naive_CCORR(__global const uchar * srcptr, int src_step, int src_offset,
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__global const uchar * templateptr, int template_step, int template_offset, int template_rows, int template_cols,
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__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
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{
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int x = get_global_id(0);
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int y = get_global_id(1);
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if (x < dst_cols && y < dst_rows)
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{
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WT sum = (WT)(0);
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for (int i = 0; i < template_rows; ++i)
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{
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for (int j = 0; j < template_cols; ++j)
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{
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T src = vload3(0, (__global const T1 *)(srcptr + mad24(y+i, src_step, mad24(x+j, (int)sizeof(T1)*cn, src_offset))));
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T template = vload3(0, (__global const T1 *)(templateptr + mad24(i, template_step, mad24(j, (int)sizeof(T1)*cn, template_offset))));
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#if wdepth == 4
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sum = mad24(convertToWT(src), convertToWT(template), sum);
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#else
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sum = mad(convertToWT(src), convertToWT(template), sum);
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#endif
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}
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}
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int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
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*(__global float *)(dst + dst_idx) = convertToDT(sum);
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}
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}
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#else
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__kernel void matchTemplate_Naive_CCORR(__global const uchar * srcptr, int src_step, int src_offset,
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__global const uchar * templateptr, int template_step, int template_offset, int template_rows, int template_cols,
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__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
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@ -144,6 +190,7 @@ __kernel void matchTemplate_Naive_CCORR(__global const uchar * srcptr, int src_s
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*(__global float *)(dst + dst_idx) = convertToDT(sum);
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}
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}
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#endif
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#elif defined CCORR_NORMED
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@ -171,6 +218,42 @@ __kernel void matchTemplate_CCORR_NORMED(__global const uchar * src_sqsums, int
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#elif defined SQDIFF
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#if cn==3
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__kernel void matchTemplate_Naive_SQDIFF(__global const uchar * srcptr, int src_step, int src_offset,
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__global const uchar * templateptr, int template_step, int template_offset, int template_rows, int template_cols,
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__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
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{
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int x = get_global_id(0);
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int y = get_global_id(1);
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if (x < dst_cols && y < dst_rows)
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{
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WT sum = (WT)(0), value;
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for (int i = 0; i < template_rows; ++i)
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{
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for (int j = 0; j < template_cols; ++j)
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{
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T src = vload3(0, (__global const T1 *)(srcptr + mad24(y+i, src_step, mad24(x+j, (int)sizeof(T1)*cn, src_offset))));
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T template = vload3(0, (__global const T1 *)(templateptr + mad24(i, template_step, mad24(j, (int)sizeof(T1)*cn, template_offset))));
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value = convertToWT(src) - convertToWT(template);
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#if wdepth == 4
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sum = mad24(value, value, sum);
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#else
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sum = mad(value, value, sum);
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#endif
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}
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}
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int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
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*(__global float *)(dst + dst_idx) = convertToDT(sum);
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}
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}
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#else
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__kernel void matchTemplate_Naive_SQDIFF(__global const uchar * srcptr, int src_step, int src_offset,
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__global const uchar * templateptr, int template_step, int template_offset, int template_rows, int template_cols,
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__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols)
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@ -206,6 +289,8 @@ __kernel void matchTemplate_Naive_SQDIFF(__global const uchar * srcptr, int src_
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}
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}
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#endif
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#elif defined SQDIFF_NORMED
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__kernel void matchTemplate_SQDIFF_NORMED(__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset,
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@ -284,6 +369,37 @@ __kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int
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}
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}
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#elif cn==3
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__kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
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__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
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int template_rows, int template_cols, float template_sum_0, float template_sum_1, float template_sum_2)
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{
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int x = get_global_id(0);
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int y = get_global_id(1);
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if (x < dst_cols && y < dst_rows)
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{
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src_sums_step /= ELEM_SIZE;
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src_sums_offset /= ELEM_SIZE;
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__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
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int c_r = SUMS_PTR(template_cols, template_rows);
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int c_o = SUMS_PTR(template_cols, 0);
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int o_r = SUMS_PTR(0,template_rows);
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int oo = SUMS_PTR(0, 0);
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float image_sum_ = template_sum_0 * (float)((sum[c_r] - sum[c_o]) -(sum[o_r] - sum[oo]));
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image_sum_ += template_sum_1 * (float)((sum[c_r+1] - sum[c_o+1])-(sum[o_r+1] - sum[oo+1]));
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image_sum_ += template_sum_2 * (float)((sum[c_r+2] - sum[c_o+2])-(sum[o_r+2] - sum[oo+2]));
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int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
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__global float * dstult = (__global float *)(dst+dst_idx);
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*dstult -= image_sum_;
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}
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}
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#elif cn == 4
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__kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
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@ -317,7 +433,7 @@ __kernel void matchTemplate_Prepared_CCOEFF(__global const uchar * src_sums, int
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}
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#else
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#error "cn should be 1, 2 or 4"
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#error "cn should be 1-4"
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#endif
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#elif defined CCOEFF_NORMED
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@ -395,6 +511,61 @@ __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int s
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}
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}
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#elif cn==3
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__kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
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__global const uchar * src_sqsums, int src_sqsums_step, int src_sqsums_offset,
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__global uchar * dst, int dst_step, int dst_offset, int dst_rows, int dst_cols,
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int t_rows, int t_cols, float weight, float template_sum_0, float template_sum_1, float template_sum_2,
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float template_sqsum)
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{
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int x = get_global_id(0);
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int y = get_global_id(1);
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float sum_[3];
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float sqsum_[3];
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if (x < dst_cols && y < dst_rows)
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{
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src_sums_offset /= ELEM_SIZE;
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src_sums_step /= ELEM_SIZE;
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src_sqsums_step /= sizeof(float);
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src_sqsums_offset /= sizeof(float);
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__global ELEM_TYPE* sum = (__global ELEM_TYPE*)(src_sums);
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__global float * sqsum = (__global float*)(src_sqsums);
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int c_r = SUMS_PTR(t_cols, t_rows);
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int c_o = SUMS_PTR(t_cols, 0);
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int o_r = SUMS_PTR(0, t_rows);
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int o_o = SUMS_PTR(0, 0);
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sum_[0] = (float)((sum[c_r] - sum[c_o]) -(sum[o_r] - sum[o_o ]));
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sum_[1] = (float)((sum[c_r+1] - sum[c_o+1])-(sum[o_r+1] - sum[o_o +1]));
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sum_[2] = (float)((sum[c_r+2] - sum[c_o+2])-(sum[o_r+2] - sum[o_o +2]));
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c_r = SQSUMS_PTR(t_cols, t_rows);
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c_o = SQSUMS_PTR(t_cols, 0);
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o_r = SQSUMS_PTR(0, t_rows);
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o_o = SQSUMS_PTR(0, 0);
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sqsum_[0] = (float)((sqsum[c_r] - sqsum[c_o]) -(sqsum[o_r] - sqsum[o_o]));
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sqsum_[1] = (float)((sqsum[c_r+1] - sqsum[c_o+1])-(sqsum[o_r+1] - sqsum[o_o+1]));
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sqsum_[2] = (float)((sqsum[c_r+2] - sqsum[c_o+2])-(sqsum[o_r+2] - sqsum[o_o+2]));
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float num = sum_[0]*template_sum_0 + sum_[1]*template_sum_1 + sum_[2]*template_sum_2;
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float denum = sqrt( template_sqsum * (
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sqsum_[0] - weight * sum_[0]* sum_[0] +
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sqsum_[1] - weight * sum_[1]* sum_[1] +
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sqsum_[2] - weight * sum_[2]* sum_[2] ));
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int dst_idx = mad24(y, dst_step, mad24(x, (int)sizeof(float), dst_offset));
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__global float * dstult = (__global float *)(dst+dst_idx);
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*dstult = normAcc((*dstult) - num, denum);
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}
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}
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#elif cn == 4
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__kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int src_sums_step, int src_sums_offset,
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@ -455,7 +626,7 @@ __kernel void matchTemplate_CCOEFF_NORMED(__global const uchar * src_sums, int s
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}
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#else
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#error "cn should be 1, 2 or 4"
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#error "cn should be 1-4"
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#endif
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#endif
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@ -69,8 +69,8 @@ static bool sumTemplate(InputArray _src, UMat & result)
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char cvt[40];
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ocl::Kernel k("calcSum", ocl::imgproc::match_template_oclsrc,
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format("-D CALC_SUM -D T=%s -D WT=%s -D cn=%d -D convertToWT=%s -D WGS=%d -D WGS2_ALIGNED=%d -D wdepth=%d",
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ocl::typeToStr(type), ocl::typeToStr(wtype), cn,
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format("-D CALC_SUM -D T=%s -D T1=%s -D WT=%s -D cn=%d -D convertToWT=%s -D WGS=%d -D WGS2_ALIGNED=%d -D wdepth=%d",
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ocl::typeToStr(type), ocl::typeToStr(depth), ocl::typeToStr(wtype), cn,
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ocl::convertTypeStr(depth, wdepth, cn, cvt),
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(int)wgs, wgs2_aligned, wdepth));
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if (k.empty())
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@ -95,7 +95,7 @@ static bool matchTemplateNaive_CCORR(InputArray _image, InputArray _templ, Outpu
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char cvt[40];
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ocl::Kernel k("matchTemplate_Naive_CCORR", ocl::imgproc::match_template_oclsrc,
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format("-D CCORR -D T=%s -D WT=%s -D convertToWT=%s -D cn=%d -D wdepth=%d", ocl::typeToStr(type), ocl::typeToStr(wtype),
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format("-D CCORR -D T=%s -D T1=%s -D WT=%s -D convertToWT=%s -D cn=%d -D wdepth=%d", ocl::typeToStr(type), ocl::typeToStr(depth), ocl::typeToStr(wtype),
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ocl::convertTypeStr(depth, wdepth, cn, cvt), cn, wdepth));
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if (k.empty())
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return false;
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@ -149,7 +149,7 @@ static bool matchTemplateNaive_SQDIFF(InputArray _image, InputArray _templ, Outp
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char cvt[40];
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ocl::Kernel k("matchTemplate_Naive_SQDIFF", ocl::imgproc::match_template_oclsrc,
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format("-D SQDIFF -D T=%s -D WT=%s -D convertToWT=%s -D cn=%d -D wdepth=%d", ocl::typeToStr(type),
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format("-D SQDIFF -D T=%s -D T1=%s -D WT=%s -D convertToWT=%s -D cn=%d -D wdepth=%d", ocl::typeToStr(type), ocl::typeToStr(depth),
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ocl::typeToStr(wtype), ocl::convertTypeStr(depth, wdepth, cn, cvt), cn, wdepth));
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if (k.empty())
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return false;
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@ -191,6 +191,7 @@ static bool matchTemplate_SQDIFF_NORMED(InputArray _image, InputArray _templ, Ou
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templ.rows, templ.cols, ocl::KernelArg::PtrReadOnly(templ_sqsum));
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size_t globalsize[2] = { result.cols, result.rows };
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return k.run(2, globalsize, NULL, false);
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}
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@ -235,6 +236,9 @@ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArr
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if (cn == 2)
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k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols,
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templ_sum[0], templ_sum[1]);
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else if (cn==3)
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k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols,
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templ_sum[0], templ_sum[1], templ_sum[2]);
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else
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k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols,
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templ_sum[0], templ_sum[1], templ_sum[2], templ_sum[3]);
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@ -308,6 +312,10 @@ static bool matchTemplate_CCOEFF_NORMED(InputArray _image, InputArray _templ, Ou
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k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
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ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, scale,
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templ_sum[0], templ_sum[1], templ_sqsum_sum);
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else if (cn == 3)
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k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
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ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, scale,
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templ_sum[0], templ_sum[1], templ_sum[2], templ_sqsum_sum);
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else
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k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadOnlyNoSize(image_sqsums),
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ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, scale,
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@ -324,7 +332,7 @@ static bool ocl_matchTemplate( InputArray _img, InputArray _templ, OutputArray _
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{
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int cn = _img.channels();
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if (cn == 3 || cn > 4)
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if (cn > 4)
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return false;
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typedef bool (*Caller)(InputArray _img, InputArray _templ, OutputArray _result);
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@ -118,7 +118,7 @@ OCL_TEST_P(MatchTemplate, Mat)
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OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine(
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Values(CV_8U, CV_32F),
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Values(1, 2, 4),
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Values(1, 2, 3, 4),
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MatchTemplType::all(),
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Bool())
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);
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