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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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modules/core/include/opencv2/core/openvx/ovx_defs.hpp
+3 -1
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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, ...) \