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@ -1423,7 +1423,7 @@ public:
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dsize.width *= cn;
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AutoBuffer<WT> _buffer(dsize.width*2);
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WT *buf = _buffer, *sum = buf + dsize.width;
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int k, sy, dx, cur_dy = 0;
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int k = -1000, sy = -1000, dx = -1000, cur_dy = -1000;
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WT scale_y = (WT)scale_y_;
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CV_Assert( cn <= 4 );
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@ -1567,7 +1567,8 @@ public:
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T* D = (T*)(dst.data + dst.step*cur_dy);
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if( fabs(beta) < 1e-3 )
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{
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if(cur_dy >= dsize.height) return;
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if(cur_dy >= dsize.height)
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return;
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for( dx = 0; dx < dsize.width; dx++ )
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{
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D[dx] = saturate_cast<T>((sum[dx] + buf[dx]) / min(scale_y, src.rows - cur_dy * scale_y));
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@ -1614,19 +1615,23 @@ private:
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resizeArea_Invoker& operator=(const resizeArea_Invoker&);
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};
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template<typename T, typename WT>
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template <typename T, typename WT>
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static void resizeArea_( const Mat& src, Mat& dst, const DecimateAlpha* xofs, int xofs_count, double scale_y_)
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{
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#ifdef HAVE_TBB
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Size ssize = src.size(), dsize = dst.size();
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AutoBuffer<int> _yofs(2 * ssize.height);
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int *yofs = _yofs, *cur_dy_ofs = _yofs + ssize.height;
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int index = 0, cur_dy = 0, sy;
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int index = 0, cur_dy = 0;
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for( sy = 0; sy < ssize.height; sy++ )
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// cur_dy_ofs - dy for the current sy
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// yofs - a starting row for calculating a band according to the current sy
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for (int sy = 0; sy < ssize.height; sy++)
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{
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bool reset = false;
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cur_dy_ofs[sy] = cur_dy;
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yofs[sy] = index;
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if ((cur_dy + 1) * scale_y_ <= sy + 1 || sy == ssize.height - 1 )
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{
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WT beta = (WT)std::max(sy + 1 - (cur_dy + 1) * scale_y_, 0.);
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@ -1634,13 +1639,10 @@ static void resizeArea_( const Mat& src, Mat& dst, const DecimateAlpha* xofs, in
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{
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if (cur_dy >= dsize.height)
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break;
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reset = true;
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index = sy + 1;
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}
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cur_dy++;
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}
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yofs[sy] = index;
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if (reset)
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index = sy + 1;
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}
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#endif
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@ -1491,18 +1491,21 @@ TEST(Imgproc_resize_area, regression)
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};
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cv::Mat src(16, 16, CV_16UC1, input_data);
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cv::Mat expected(5,5,CV_16UC1, expected_data);
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cv::Mat expected(5, 5, CV_16UC1, expected_data);
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cv::Mat actual(expected.size(), expected.type());
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cv::resize(src, actual, cv::Size(), 0.3, 0.3, INTER_AREA);
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ASSERT_EQ(actual.type(), expected.type());
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ASSERT_EQ(actual.size(), expected.size());
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Mat diff;
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absdiff(actual, expected, diff);
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Mat one_channel_diff = diff.reshape(1);
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std::cout << "Abs diff:" << std::endl << diff << std::endl;
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int elem_diff = 1;
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Mat one_channel_diff = diff; //.reshape(1);
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float elem_diff = 1.0f;
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Size dsize = actual.size();
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bool next = true;
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for (int dy = 0; dy < dsize.height && next; ++dy)
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@ -1527,7 +1530,7 @@ TEST(Imgproc_resize_area, regression)
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}
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}
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ASSERT_EQ(norm(one_channel_diff, cv::NORM_INF),0);
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ASSERT_EQ(norm(one_channel_diff, cv::NORM_INF), 0);
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}
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