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imgproc: saturate out-of-range float coordinates in boundingRect
pointSetBoundingRect() passed CV_32F coordinates to cvFloor() without honouring its documented INT_MIN..INT_MAX precondition, so a point set outside the int range collapsed to a 1x1 rect at INT_MIN, while +inf and -inf gave INT_MIN and INT_MAX - an inverted rectangle. The extrema are now searched for in floats, as the vectorized path already did, and floored and saturated to the closest representable bound once, after the reduction. The sides are computed in int64 and clamped to INT_MAX: xmax - xmin + 1 overflows int once the extrema saturate, and did so already for a CV_32S point set spanning the whole int range. Fixes #29837
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@@ -4208,6 +4208,9 @@ The function calculates and returns the minimal up-right bounding rectangle for
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non-zero pixels of gray-scale image.
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@param array Input gray-scale image or 2D point set, stored in std::vector or Mat.
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@note Point coordinates that the resulting Rect cannot represent - outside of the int range,
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or infinite - are saturated to INT_MIN / INT_MAX, and its width and height are clamped to INT_MAX.
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*/
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CV_EXPORTS_W Rect boundingRect( InputArray array );
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@@ -703,6 +703,24 @@ static Rect maskBoundingRect( const Mat& img )
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return Rect(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1);
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}
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// Converts an extremum of a CV_32F point set to an int coordinate of a Rect, flooring it and
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// clamping it to the range a Rect can represent. cvFloor() is undefined outside of that range, so
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// a coordinate beyond it used to leak the raw conversion result into the rectangle: 1e10 floored
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// to INT_MIN, and +inf/-inf gave INT_MIN and INT_MAX, inverting it.
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// See https://github.com/opencv/opencv/issues/29837
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static inline int floorSaturate( float value )
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{
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// the clamp is in double, where the bounds are exact - INT_MAX is not representable in float -
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// and it cannot be left to saturate_cast<int>(), which rounds but does not clip 32-bit
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// integers. Reversing the first comparison keeps a NaN out of the undefined conversion too.
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const double v = std::floor((double)value);
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if( !(v > (double)INT_MIN) )
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return INT_MIN;
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if( v >= (double)INT_MAX )
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return INT_MAX;
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return saturate_cast<int>(v);
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}
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// Calculates bounding rectangle of a point set or retrieves already calculated
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static Rect pointSetBoundingRect( const Mat& points )
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{
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@@ -767,8 +785,9 @@ static Rect pointSetBoundingRect( const Mat& points )
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const float* pts = points.ptr<float>();
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int64_t firstval = 0;
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std::memcpy(&firstval, pts, sizeof(pts[0]) * 2);
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xmin = xmax = cvFloor(pts[0]);
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ymin = ymax = cvFloor(pts[1]);
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// the extrema are searched for in floats and converted to int once, below
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float xmin_f = pts[0], xmax_f = pts[0];
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float ymin_f = pts[1], ymax_f = pts[1];
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#if CV_SIMD || CV_SIMD_SCALABLE
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v_float32 minval, maxval;
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minval = maxval = v_reinterpret_as_f32(vx_setall_s64(firstval)); //min[0]=pt.x, min[1]=pt.y, min[2]=pt.x, min[3]=pt.y
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@@ -791,29 +810,35 @@ static Rect pointSetBoundingRect( const Mat& points )
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vx_store(arr_maxval, maxval);
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for (int j = 0; j < nlanes; j++)
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{
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int _xmin = cvFloor(arr_minval[2*j]), _ymin = cvFloor(arr_minval[2*j+1]);
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int _xmax = cvFloor(arr_maxval[2*j]), _ymax = cvFloor(arr_maxval[2*j+1]);
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xmin = std::min(xmin, _xmin);
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ymin = std::min(ymin, _ymin);
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xmax = std::max(xmax, _xmax);
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ymax = std::max(ymax, _ymax);
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xmin_f = std::min(xmin_f, arr_minval[2*j]);
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ymin_f = std::min(ymin_f, arr_minval[2*j+1]);
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xmax_f = std::max(xmax_f, arr_maxval[2*j]);
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ymax_f = std::max(ymax_f, arr_maxval[2*j+1]);
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}
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#endif
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for( ; i < npoints; i++ )
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{
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// because right and bottom sides of the bounding rectangle are not inclusive
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// (note +1 in width and height calculation below), cvFloor is used here instead of cvCeil
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int pt_x = cvFloor(pts[2*i]);
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int pt_y = cvFloor(pts[2*i+1]);
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float pt_x = pts[2*i];
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float pt_y = pts[2*i+1];
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xmin = std::min(xmin, pt_x);
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xmax = std::max(xmax, pt_x);
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ymin = std::min(ymin, pt_y);
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ymax = std::max(ymax, pt_y);
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xmin_f = std::min(xmin_f, pt_x);
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xmax_f = std::max(xmax_f, pt_x);
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ymin_f = std::min(ymin_f, pt_y);
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ymax_f = std::max(ymax_f, pt_y);
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}
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// because right and bottom sides of the bounding rectangle are not inclusive
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// (note +1 in width and height calculation below), the extrema are floored, not rounded
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xmin = floorSaturate(xmin_f);
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xmax = floorSaturate(xmax_f);
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ymin = floorSaturate(ymin_f);
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ymax = floorSaturate(ymax_f);
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}
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return Rect(xmin, ymin, xmax - xmin + 1, ymax - ymin + 1);
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// xmax - xmin overflows int once the extrema saturate, so the sides are computed in int64
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const int64_t width = (int64_t)xmax - (int64_t)xmin + 1;
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const int64_t height = (int64_t)ymax - (int64_t)ymin + 1;
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return Rect(xmin, ymin, (int)std::min<int64_t>(width, INT_MAX), (int)std::min<int64_t>(height, INT_MAX));
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}
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@@ -96,4 +96,42 @@ TEST(Imgproc_BoundingRect, bug_24217)
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}
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}
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// See https://github.com/opencv/opencv/issues/29837
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// A CV_32F coordinate outside of the int range used to reach cvFloor(), which is undefined
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// there: points spanning 1e10 collapsed to a 1x1 rect at INT_MIN, and +inf/-inf gave
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// INT_MIN/INT_MAX, an inverted rectangle. They are saturated to the representable bounds now.
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TEST(Imgproc_BoundingRect, out_of_int_range_29837)
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{
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const int imin = std::numeric_limits<int>::min();
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const int imax = std::numeric_limits<int>::max();
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const float inf = std::numeric_limits<float>::infinity();
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// in-range point sets are unaffected
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std::vector<Point2f> in_range { Point2f(1e4f, 1e4f), Point2f(2e4f, 2e4f) };
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EXPECT_EQ(boundingRect(in_range), Rect(10000, 10000, 10001, 10001));
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// out of range: saturated, orientation preserved
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std::vector<Point2f> above { Point2f(1e10f, 1e10f), Point2f(2e10f, 2e10f) };
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EXPECT_EQ(boundingRect(above), Rect(imax, imax, 1, 1));
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std::vector<Point2f> below { Point2f(-1e10f, -1e10f), Point2f(-2e10f, -2e10f) };
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EXPECT_EQ(boundingRect(below), Rect(imin, imin, 1, 1));
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// infinities saturate the same way, and the sides are clamped instead of overflowing
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std::vector<Point2f> plus_inf { Point2f(inf, 0.f), Point2f(1.f, 1.f), Point2f(2.f, 0.f) };
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EXPECT_EQ(boundingRect(plus_inf), Rect(1, 0, imax, 2));
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std::vector<Point2f> minus_inf { Point2f(-inf, 0.f), Point2f(1.f, 1.f), Point2f(2.f, 0.f) };
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EXPECT_EQ(boundingRect(minus_inf), Rect(imin, 0, imax, 2));
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// long enough to go through the SIMD path as well
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std::vector<Point2f> simd(64, Point2f(5.f, 5.f));
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simd[37] = Point2f(1e10f, -1e10f);
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EXPECT_EQ(boundingRect(simd), Rect(5, imin, imax - 4, imax));
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// CV_32S needs no conversion, but its sides can overflow int just the same
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std::vector<Point> ints { Point(imin, imin), Point(imax, imax) };
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EXPECT_EQ(boundingRect(ints), Rect(imin, imin, imax, imax));
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}
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}} // namespace
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