RgbdNormals: setMethod() removed as useless
RgbdNormals: tests + cross product, to be fixed
+ cross product
LINEMOD: diffThreshold param added + tests fixed
minor
diffThreshold fix
points3dToDepth16U fix
normals computer diffThreshold fix
random plane generation fixed + diffThreshold fix
Rendered normals test rewritten to GTest Params
random plane generation: scale
RGBD_Normals tests: thresholds tuned
Rendered normals tests: 64F support added
Random planes normal tests rewritten to GTest Params
LINEMOD and CrossProduct fix
SRI threshold raised
NormalsRandomPlanes: thresholds raised
assert on unknown alg; minor
fix
frame size reduced
TIFF replaced by YAML.GZ
depthTo3d test changed
cv::transform is used
fix warning
nanMask()
flipAxes()
absDotPixel() + forgotten code
helper functions removed
RGBDNormals: checkNormals() and compare LINEMOD's pts3d to depth input
Rendered: another criteria; thresholds; LINEMOD's pts3d to depth input comparison
thresholds raised a bit
SRI slightly optimized
assert change
normal tests refactored, parametrized, split
trailing namespace, thresholds raised
SRI caching optimized a lot
normal tests rewritten to fixture, no loop
minor
runCase() joined with testIt()
thresholds were put into GTest params
ternary operator
RgbdNormalsTest merged into NormalsRandomPlanes; RgbdPlanes moved closer to tests
normal test minor refactoring
plane finder tests refactored to GTest Params
skip tests
thresholds raised
plane test minor
plane tests: timers dropped, nPlanes put into GTest Params; refactoring
generated normals tests: minor refactoring
flipAxes() templated
rendered normals tests refactored: thresholds to GTest Params
CV_Error -> ASSERT_FALSE
Add normal estimation and region growing algorithm for point cloud
* Add normal estimation and region growing algorithm for point cloud
* 1.Modified documentation for normal estimation;2.Converted curvature in region growing to absolute values;3.Changed the data type of threshold from float to double;4.Fixed some bugs;
* Finished documentation
* Add tests for normal estimation. Test the normal and curvature of each point in the plane and sphere of the point cloud.
* Fix some warnings caused by to small numbers in test
* Change the test to calculate the average difference instead of comparing each normal and curvature
* Fixed the bugs found by testing
* Redesigned the interface and fixed problems:
1. Make the interface compatible with radius search.
2. Make region growing optionally sortable on results.
3. Modified the region growing interface.
4. Format reference.
5. Removed sphere test.
* Fix warnings
* Remove flann dependency
* Move the flann dependency to the corresponding test
GSoC module to save and load point cloud
* Add functionality to read point cloud data from files
* address issues found on review, add tests for mesh, refactor
* enable fail-safe execution and empty arrays as output
* Some improvements for point cloud io module
Co-authored-by: Julie Bareeva <julia.bareeva@xperience.ai>
Add distort/undistort test for fisheye::undistortPoints()
* Add distort/undistort test for fisheye::undistortPoints()
Lack of test has allowed error described in 19138 to be unnoticed.
In addition to random points, four corners and principal center
added to point set
* Add random distortion coefficients set
* Move undistortPoints test to google test, refactor
* Add fisheye::undistortPoints() perf test
* Add negative distortion coefficients to undistortPoints test, increase value
* Move to theRNG()
* Change test check from cvtest::norm(L2) to EXPECT_MAT_NEAR()
* Layout fix
* Add points number parameters, comments
[GAPI] Support basic inference in OAK backend
* Combined commit which enables basic inference and other extra capabilities of OAK backend
* Remove unnecessary target options from the cmakelist
Fixed out-of-bounds read in parallel version of ippGaussianBlur()
* Fixed out-of-memory read in parallel version of ippGaussianBlur()
* Fixed check
* Revert changes in CMakeLists.txt
