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Tuned restrictions for Canny, Warp, FAST, Accumulate and Convolution OpenVX HAL calls on small images

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This commit is contained in:
Vitaly Tuzov 2017-04-14 13:20:25 +03:00
parent 4c0d833dec
commit 9dc36a1ece
2 changed files with 11 additions and 5 deletions
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12
3rdparty/openvx/hal/openvx_hal.cpp vendored
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@ -82,10 +82,13 @@ inline bool dimTooBig(int size)
}
//OpenVX calls have essential overhead so it make sense to skip them for small images
template <int kernel_id> inline bool skipSmallImages(int w, int h) { return w*h < 7680 * 4320; }
template <> inline bool skipSmallImages<VX_KERNEL_MULTIPLY>(int w, int h) { return w*h < 640 * 480; }
template <> inline bool skipSmallImages<VX_KERNEL_COLOR_CONVERT>(int w, int h) { return w*h < 2048 * 1536; }
template <> inline bool skipSmallImages<VX_KERNEL_INTEGRAL_IMAGE>(int w, int h) { return w*h < 640 * 480; }
template <int kernel_id> inline bool skipSmallImages(int w, int h) { return w*h < 7680 * 4320; }
template <> inline bool skipSmallImages<VX_KERNEL_MULTIPLY>(int w, int h) { return w*h < 640 * 480; }
template <> inline bool skipSmallImages<VX_KERNEL_COLOR_CONVERT>(int w, int h) { return w*h < 2048 * 1536; }
template <> inline bool skipSmallImages<VX_KERNEL_INTEGRAL_IMAGE>(int w, int h) { return w*h < 640 * 480; }
template <> inline bool skipSmallImages<VX_KERNEL_WARP_AFFINE>(int w, int h) { return w*h < 1280 * 720; }
template <> inline bool skipSmallImages<VX_KERNEL_WARP_PERSPECTIVE>(int w, int h) { return w*h < 320 * 240; }
template <> inline bool skipSmallImages<VX_KERNEL_CUSTOM_CONVOLUTION>(int w, int h) { return w*h < 320 * 240; }
inline void setConstantBorder(ivx::border_t &border, vx_uint8 val)
{
@ -553,6 +556,7 @@ int ovx_hal_filterInit(cvhalFilter2D **filter_context, uchar *kernel_data, size_
for (int i = 0; i < kernel_width; ++i)
data.push_back(row[i]);
}
break;
default:
return CV_HAL_ERROR_NOT_IMPLEMENTED;
}

4
modules/core/include/opencv2/core/openvx/ovx_defs.hpp
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@ -32,7 +32,9 @@ template <> inline bool skipSmallImages<VX_KERNEL_GAUSSIAN_3x3>(int w, int h) {
template <> inline bool skipSmallImages<VX_KERNEL_BOX_3x3>(int w, int h) { return w*h < 640 * 480; }
template <> inline bool skipSmallImages<VX_KERNEL_HISTOGRAM>(int w, int h) { return w*h < 2048 * 1536; }
template <> inline bool skipSmallImages<VX_KERNEL_SOBEL_3x3>(int w, int h) { return w*h < 320 * 240; }
template <> inline bool skipSmallImages<VX_KERNEL_CANNY_EDGE_DETECTOR>(int w, int h) { return w*h < 640 * 480; }
template <> inline bool skipSmallImages<VX_KERNEL_ACCUMULATE>(int w, int h) { return w*h < 120 * 60; }
template <> inline bool skipSmallImages<VX_KERNEL_FAST_CORNERS>(int w, int h) { return w*h < 800 * 600; }
}}
#define CV_OVX_RUN(condition, func, ...) \