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11//                For Open Source Computer Vision Library
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42
43#include "precomp.hpp"
44#include "opencl_kernels_stitching.hpp"
45
46namespace cv {
47namespace detail {
48
49Ptr<Timelapser> Timelapser::createDefault(int type)
50{
51    if (type == AS_IS)
52        return makePtr<Timelapser>();
53    if (type == CROP)
54        return makePtr<TimelapserCrop>();
55    CV_Error(Error::StsBadArg, "unsupported timelapsing method");
56    return Ptr<Timelapser>();
57}
58
59
60void Timelapser::initialize(const std::vector<Point> &corners, const std::vector<Size> &sizes)
61{
62    dst_roi_ = resultRoi(corners, sizes);
63    dst_.create(dst_roi_.size(), CV_16SC3);
64}
65
66void Timelapser::process(InputArray _img, InputArray /*_mask*/, Point tl)
67{
68    dst_.setTo(Scalar::all(0));
69
70    Mat img = _img.getMat();
71    Mat dst = dst_.getMat(ACCESS_RW);
72
73    CV_Assert(img.type() == CV_16SC3);
74    int dx = tl.x - dst_roi_.x;
75    int dy = tl.y - dst_roi_.y;
76
77    for (int y = 0; y < img.rows; ++y)
78    {
79        const Point3_<short> *src_row = img.ptr<Point3_<short> >(y);
80
81        for (int x = 0; x < img.cols; ++x)
82        {
83            if (test_point(Point(tl.x + x, tl.y + y)))
84            {
85                Point3_<short> *dst_row = dst.ptr<Point3_<short> >(dy + y);
86                dst_row[dx + x] = src_row[x];
87            }
88        }
89    }
90}
91
92
93bool Timelapser::test_point(Point pt)
94{
95    return dst_roi_.contains(pt);
96}
97
98
99void TimelapserCrop::initialize(const std::vector<Point> &corners, const std::vector<Size> &sizes)
100{
101    dst_roi_ = resultRoiIntersection(corners, sizes);
102    dst_.create(dst_roi_.size(), CV_16SC3);
103}
104
105
106} // namespace detail
107} // namespace cv
108