| 1562 | } |
| 1563 | |
| 1564 | void cv::subtract( InputArray _src1, InputArray _src2, OutputArray _dst, |
| 1565 | InputArray mask, int dtype ) |
| 1566 | { |
| 1567 | #ifdef HAVE_TEGRA_OPTIMIZATION |
| 1568 | int kind1 = _src1.kind(), kind2 = _src2.kind(); |
| 1569 | Mat src1 = _src1.getMat(), src2 = _src2.getMat(); |
| 1570 | bool src1Scalar = checkScalar(src1, _src2.type(), kind1, kind2); |
| 1571 | bool src2Scalar = checkScalar(src2, _src1.type(), kind2, kind1); |
| 1572 | |
| 1573 | if (!src1Scalar && !src2Scalar && |
| 1574 | src1.depth() == CV_8U && src2.type() == src1.type() && |
| 1575 | src1.dims == 2 && src2.size() == src1.size() && |
| 1576 | mask.empty()) |
| 1577 | { |
| 1578 | if (dtype < 0) |
| 1579 | { |
| 1580 | if (_dst.fixedType()) |
| 1581 | { |
| 1582 | dtype = _dst.depth(); |
| 1583 | } |
| 1584 | else |
| 1585 | { |
| 1586 | dtype = src1.depth(); |
| 1587 | } |
| 1588 | } |
| 1589 | |
| 1590 | dtype = CV_MAT_DEPTH(dtype); |
| 1591 | |
| 1592 | if (!_dst.fixedType() || dtype == _dst.depth()) |
| 1593 | { |
| 1594 | _dst.create(src1.size(), CV_MAKE_TYPE(dtype, src1.channels())); |
| 1595 | |
| 1596 | if (dtype == CV_16S) |
| 1597 | { |
| 1598 | Mat dst = _dst.getMat(); |
| 1599 | if(tegra::subtract_8u8u16s(src1, src2, dst)) |
| 1600 | return; |
| 1601 | } |
| 1602 | else if (dtype == CV_32F) |
| 1603 | { |
| 1604 | Mat dst = _dst.getMat(); |
| 1605 | if(tegra::subtract_8u8u32f(src1, src2, dst)) |
| 1606 | return; |
| 1607 | } |
| 1608 | else if (dtype == CV_8S) |
| 1609 | { |
| 1610 | Mat dst = _dst.getMat(); |
| 1611 | if(tegra::subtract_8u8u8s(src1, src2, dst)) |
| 1612 | return; |
| 1613 | } |
| 1614 | } |
| 1615 | } |
| 1616 | #endif |
| 1617 | arithm_op(_src1, _src2, _dst, mask, dtype, getSubTab() ); |
| 1618 | } |
| 1619 | |
| 1620 | void cv::absdiff( InputArray src1, InputArray src2, OutputArray dst ) |
| 1621 | { |
nothing calls this directly
no test coverage detected