added v_reduce_sum4() universal intrinsic; corrected number of threads in cv::getNumT...

diff --git a/modules/core/include/opencv2/core/hal/intrin_cpp.hpp b/modules/core/include/opencv2/core/hal/intrin_cpp.hpp
index a5675e4..0a59e9b 100644 (file)
--- a/modules/core/include/opencv2/core/hal/intrin_cpp.hpp
+++ b/modules/core/include/opencv2/core/hal/intrin_cpp.hpp
@@ -907,6 +907,27 @@ template<typename _Tp, int n> inline typename V_TypeTraits<_Tp>::sum_type v_redu
     return c;
 }
 
+/** @brief Sums all elements of each input vector, returns the vector of sums
+
+ Scheme:
+ @code
+ result[0] = a[0] + a[1] + a[2] + a[3]
+ result[1] = b[0] + b[1] + b[2] + b[3]
+ result[2] = c[0] + c[1] + c[2] + c[3]
+ result[3] = d[0] + d[1] + d[2] + d[3]
+ @endcode
+*/
+inline v_float32x4 v_reduce_sum4(const v_float32x4& a, const v_float32x4& b,
+                                 const v_float32x4& c, const v_float32x4& d)
+{
+    v_float32x4 r;
+    r.s[0] = a.s[0] + a.s[1] + a.s[2] + a.s[3];
+    r.s[1] = b.s[0] + b.s[1] + b.s[2] + b.s[3];
+    r.s[2] = c.s[0] + c.s[1] + c.s[2] + c.s[3];
+    r.s[3] = d.s[0] + d.s[1] + d.s[2] + d.s[3];
+    return r;
+}
+
 /** @brief Get negative values mask
 
 Returned value is a bit mask with bits set to 1 on places corresponding to negative packed values indexes.

diff --git a/modules/core/include/opencv2/core/hal/intrin_neon.hpp b/modules/core/include/opencv2/core/hal/intrin_neon.hpp
index 6dd02bd..b126948 100644 (file)
--- a/modules/core/include/opencv2/core/hal/intrin_neon.hpp
+++ b/modules/core/include/opencv2/core/hal/intrin_neon.hpp
@@ -815,6 +815,21 @@ OPENCV_HAL_IMPL_NEON_REDUCE_OP_4(v_float32x4, float32x2, float, sum, add, f32)
 OPENCV_HAL_IMPL_NEON_REDUCE_OP_4(v_float32x4, float32x2, float, max, max, f32)
 OPENCV_HAL_IMPL_NEON_REDUCE_OP_4(v_float32x4, float32x2, float, min, min, f32)
 
+inline v_float32x4 v_reduce_sum4(const v_float32x4& a, const v_float32x4& b,
+                                 const v_float32x4& c, const v_float32x4& d)
+{
+    float32x4x2_t ab = vtrnq_f32(a.val, b.val);
+    float32x4x2_t cd = vtrnq_f32(c.val, d.val);
+
+    float32x4_t u0 = vaddq_f32(ab.val[0], ab.val[1]); // a0+a1 b0+b1 a2+a3 b2+b3
+    float32x4_t u1 = vaddq_f32(cd.val[0], cd.val[1]); // c0+c1 d0+d1 c2+c3 d2+d3
+
+    float32x4_t v0 = vcombine_f32(vget_low_f32(u0), vget_low_f32(u1));
+    float32x4_t v1 = vcombine_f32(vget_high_f32(u0), vget_high_f32(u1));
+
+    return v_float32x4(vaddq_f32(v0, v1));
+}
+
 #define OPENCV_HAL_IMPL_NEON_POPCOUNT(_Tpvec, cast) \
 inline v_uint32x4 v_popcount(const _Tpvec& a) \
 { \

diff --git a/modules/core/include/opencv2/core/hal/intrin_sse.hpp b/modules/core/include/opencv2/core/hal/intrin_sse.hpp
index 364f5d7..3291921 100644 (file)
--- a/modules/core/include/opencv2/core/hal/intrin_sse.hpp
+++ b/modules/core/include/opencv2/core/hal/intrin_sse.hpp
@@ -1126,6 +1126,14 @@ OPENCV_HAL_IMPL_SSE_REDUCE_OP_4_SUM(v_uint32x4, unsigned, __m128i, epi32, OPENCV
 OPENCV_HAL_IMPL_SSE_REDUCE_OP_4_SUM(v_int32x4, int, __m128i, epi32, OPENCV_HAL_NOP, OPENCV_HAL_NOP, si128_si32)
 OPENCV_HAL_IMPL_SSE_REDUCE_OP_4_SUM(v_float32x4, float, __m128, ps, _mm_castps_si128, _mm_castsi128_ps, ss_f32)
 
+inline v_float32x4 v_reduce_sum4(const v_float32x4& a, const v_float32x4& b,
+                                 const v_float32x4& c, const v_float32x4& d)
+{
+    __m128 ab = _mm_hadd_ps(a.val, b.val);
+    __m128 cd = _mm_hadd_ps(c.val, d.val);
+    return v_float32x4(_mm_hadd_ps(ab, cd));
+}
+
 OPENCV_HAL_IMPL_SSE_REDUCE_OP_4(v_uint32x4, unsigned, max, std::max)
 OPENCV_HAL_IMPL_SSE_REDUCE_OP_4(v_uint32x4, unsigned, min, std::min)
 OPENCV_HAL_IMPL_SSE_REDUCE_OP_4(v_int32x4, int, max, std::max)

diff --git a/modules/core/src/parallel.cpp b/modules/core/src/parallel.cpp
index ac5f2e5..3bbf028 100644 (file)
--- a/modules/core/src/parallel.cpp
+++ b/modules/core/src/parallel.cpp
@@ -425,7 +425,7 @@ int cv::getNumThreads(void)
 
 #elif defined HAVE_GCD
 
-    return 512; // the GCD thread pool limit
+    return cv::getNumberOfCPUs(); // the GCD thread pool limit
 
 #elif defined WINRT