With a test image set of 2800x1400 bytes on a Intel Core i7 5960X this improves runtime of MODE_HH with about 10%. (this particular replaced code segment is approx 3 times faster than the non-SSE2 variant). I was able to reduce runtime by 130 ms by this simple fix.
The second part of the SSE2 optimized part could probably be optimized further by using shift SSE2 operations, but I imagine this would improve performance 10-20 ms at best.
use the same approach like in fisheye calibration: instead of setting
masked out rows to zero, remove them from the equation system.
This way JtJ does not become singular and we can use the much faster LU
decomposition instead of SVD.
This results in a speedup of the Calibrate unit tests of 3x-10x.
PR #2968: cce2d998578f9c
Fixed bug which caused crash of GPU version of feature matcher in stitcher
The bug caused crash of GPU version of feature matcher in stitcher when
we use ORB features.
PR #3236: 5947519
Check sure that we're not already below required leaf false alarm rate before continuing to get negative samples.
PR #3190
fix blobdetector
PR #3562 (part): 82bd82e
TBB updated to 4.3u2. Fix for aarch64 support.
PR #3604 (part): 091c7a3
OpenGL interop sample reworked not ot use cvconfig.h
PR #3792: afdf319
Add -L for CUDA libs path to pkg-config
Add all dirs from CUDA_LIBS_PATH as -L linker options to
OPENCV_LINKER_LIBS. These will end up in opencv.pc.
PR #3893: 122b9f8
Turn ocv_convert_to_lib_name into a function
PR #5490: ec5244a
fixed memory leak in findHomography tests
PR #5491: 0d5b739
delete video readers
PR #5574
PR #5202
Make a note about 16-bit signed format - the function assumes that
values have no fractional bits (so 16-bit disparity from StereoBM
and StereoSGBM cannot be directly used!)
IPP_VERSION_MAJOR * 100 + IPP_VERSION_MINOR*10 + IPP_VERSION_UPDATE
to manage changes between updates more easily.
IPP_DISABLE_BLOCK was added to ease tracking of disabled IPP functions;
New mode is approximately 2-3 times faster than MODE_SGBM
with minimal degradation in quality and uses universal
HAL intrinsics. A performance test was added. The accuracy
test was updated to support the new mode.
It took me a while to figure out what was meant with
OpenCV Error: Assertion failed (i < 0) in getMat
While searching for this error message I found [a list of error
messages](https://adventuresandwhathaveyou.wordpress.com/2014/03/14/opencv-error-messages-suck/)
which also explained what the problem was: The data type for `rvecs` was
not a simple `cv::Mat` but a `std::vector<cv::Mat>`.
After I fixed that, I got the next error message:
OpenCV Error: Assertion failed (ni > 0 && ni == ni1) in
collectCalibrationData, file
/build/buildd/opencv-2.4.9+dfsg/modules/calib3d/src/calibration.cpp,
line 3193
The problem here was that my data type for the `objectPoints` was just
`vector<Vec3f>` and not `vector<vector<Vec3f>>`.
In order to save other people the time looking for this, I added
explicit examples of the needed data types into the documentation of the
function. I had to re-read the current version a couple of times until I
can read the needed levels of `vector<>`. Having this example would have
really helped me there.
Conflicts:
modules/calib3d/include/opencv2/calib3d.hpp
Also:
- Silence clang warnings about unsupported command line arguments
- Add diagnostic print to calib3d test
- Fixed perf test relative error check
- Fix iOS build problem
Conflicts:
modules/gpu/perf/perf_imgproc.cpp
Cast a long integer to double explicitly.
Conflicts:
modules/python/src2/cv2.cpp
Cast some matrix sizes to type int.
Change some vector mask types to unsigned.
Conflicts:
modules/core/src/arithm.cpp
It took me a while to figure out what was meant with
OpenCV Error: Assertion failed (i < 0) in getMat
While searching for this error message I found [a list of error
messages](https://adventuresandwhathaveyou.wordpress.com/2014/03/14/opencv-error-messages-suck/)
which also explained what the problem was: The data type for `rvecs` was
not a simple `cv::Mat` but a `std::vector<cv::Mat>`.
After I fixed that, I got the next error message:
OpenCV Error: Assertion failed (ni > 0 && ni == ni1) in
collectCalibrationData, file
/build/buildd/opencv-2.4.9+dfsg/modules/calib3d/src/calibration.cpp,
line 3193
The problem here was that my data type for the `objectPoints` was just
`vector<Vec3f>` and not `vector<vector<Vec3f>>`.
In order to save other people the time looking for this, I added
explicit examples of the needed data types into the documentation of the
function. I had to re-read the current version a couple of times until I
can read the needed levels of `vector<>`. Having this example would have
really helped me there.
