本文整理汇总了C++中T2::colptr方法的典型用法代码示例。如果您正苦于以下问题：C++ T2::colptr方法的具体用法？C++ T2::colptr怎么用？C++ T2::colptr使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类T2的用法示例。
在下文中一共展示了T2::colptr方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: pyrDown
void pyrDown(const T1& in, T2& out)
{
const uword KERNEL_SIZE = 5;
//uword width = std::min((src.n_cols - SZ / 2 - 1) / 2;
circular_buffer<arma::ivec> cols(KERNEL_SIZE);
#ifdef __VXWORKS__
ivec dummy(out.n_rows); dummy.zeros();
#endif
for (arma::uword i = 0 ; i < KERNEL_SIZE ; i++)
#ifdef __VXWORKS__
cols.push_back(dummy);
#else
cols.push_back(zeros<ivec>(out.n_rows));
#endif
int sx0 = -(int)KERNEL_SIZE / 2, sx = sx0;
arma::umat tab(KERNEL_SIZE + 2, 2);
uword* lptr = tab.colptr(0),
* rptr = tab.colptr(1);
for (uword y = 0 ; y <= KERNEL_SIZE + 1 ; y++) {
lptr[y] = borderInterpolate((int)y + sx0, (int)in.n_rows);
rptr[y] = borderInterpolate((int)(y + (out.n_rows - 1) * 2) + sx0, (int)in.n_rows);
}
// gaussian convolution with
for (arma::uword x = 0 ; x < out.n_cols ; x++) {
typename T2::elem_type* dst = out.colptr(x);
// vertical convolution and decimation
for ( ; sx <= (int)x * 2 + 2 ; sx++) {
ivec& col = cols.next();
int* colptr = col.memptr();
// interpolate border
const typename T2::elem_type* src = in.colptr(borderInterpolate(sx, (int)in.n_cols));
colptr[0] = src[lptr[2]] * 6 + (src[lptr[1]] + src[lptr[3]]) * 4 + (src[lptr[0]] + src[lptr[4]]);
for (arma::uword y = 1 ; y < out.n_rows - 1; y++)
//concurrency::parallel_for(uword(1), out.n_rows - 1, [&](uword y) {
colptr[y] = src[y * 2] * 6 +
(src[y * 2 - 1] + src[y * 2 + 1]) * 4 +
(src[y * 2 - 2] + src[y * 2 + 2]);
//});
colptr[out.n_rows - 1] = src[rptr[2]] * 6 +
(src[rptr[1]] + src[rptr[3]]) * 4 +
(src[rptr[0]] + src[rptr[4]]);
}
const int* col0 = cols[0].memptr();
const int* col1 = cols[1].memptr();
const int* col2 = cols[2].memptr();
const int* col3 = cols[3].memptr();
const int* col4 = cols[4].memptr();
// horizontal convolution and decimation
#if ENABLE_SSE2
//__m128i d = _mm_set1_epi16(128);
//uword y = 0;
//for ( ; y <= out.n_rows - 16 ; y += 16) {
// __m128i c0, c1, c2, c3, c4, t0, t1;
// c0 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(col0 + y)),
// _mm_load_si128((const __m128i*)(col0 + y + 4)));
// c1 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(col1 + y)),
// _mm_load_si128((const __m128i*)(col1 + y + 4)));
// c2 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(col2 + y)),
// _mm_load_si128((const __m128i*)(col2 + y + 4)));
// c3 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(col3 + y)),
// _mm_load_si128((const __m128i*)(col3 + y + 4)));
// c4 = _mm_packs_epi32(_mm_load_si128((const __m128i*)(col4 + y)),
// _mm_load_si128((const __m128i*)(col4 + y + 4)));
// c0 = _mm_add_epi16(r0, r4);
// c1 = _mm_add_epi16(_mm_add_epi16(c1, c3), c2);
//}
#else
for (arma::uword y = 0 ; y < out.n_rows ; y++)
//concurrency::parallel_for(uword(0), out.n_rows, [&](uword y) {
dst[y] = (typename T2::elem_type)castOp(col2[y] * 6 + (col1[y] + col3[y]) * 4 + col0[y] + col4[y]);
//});
#endif
}
}