Commit Graph

454 Commits

Author SHA1 Message Date
Alexander Alekhin
0bf823e1eb stitching(perf): update condition threshold 2017-09-29 14:33:13 +03:00
Alexander Alekhin
39ee07b8f6 test: clarify fail messages 2017-09-29 14:33:00 +03:00
Maksim Shabunin
248e2c7d47 Fixed some issues found by static analysis 2017-09-08 12:22:12 +03:00
Nishant Arora
98db804541 Merge pull request #9210 from whizzzkid/fixing-cuda
Fixing explicitly call download method for cuda::GpuMat object
2017-08-17 16:32:53 +00:00
Alexander Alekhin
cfb964834c stitching(perf): increase test check tolerance 2017-08-03 19:51:46 +03:00
Alexander Alekhin
ad183481c0 perf: skip stitching OpenCL test on Win32 platform 2017-07-20 14:14:22 +03:00
Alexander Alekhin
862242aa8d stitching(perf): check for available OpenCL memory 2017-07-18 17:26:21 +03:00
Alexander Alekhin
a4a47b538c build: detect Android via '__ANDROID__' macro
https://sourceforge.net/p/predef/wiki/OperatingSystems
2017-07-10 12:43:59 +03:00
Tony Lian
c8783f3e23 Merge pull request #9075 from TonyLianLong:master
Remove unnecessary Non-ASCII characters from source code (#9075)

* Remove unnecessary Non-ASCII characters from source code

Remove unnecessary Non-ASCII characters and replace them with ASCII
characters

* Remove dashes in the @param statement

Remove dashes and place single space in the @param statement to keep
coding style

* misc: more fixes for non-ASCII symbols

* misc: fix non-ASCII symbol in CMake file
2017-07-03 16:14:17 +00:00
Maksim Shabunin
32d4af36e2 Fixing some static analysis issues 2017-06-27 14:30:26 +03:00
Jiri Horner
5f20e802d2 Merge pull request #8869 from hrnr:akaze_part1
[GSOC] Speeding-up AKAZE, part #1 (#8869)

* ts: expand arguments before stringifications in CV_ENUM and CV_FLAGS

added protective macros to always force macro expansion of arguments. This allows using CV_ENUM and CV_FLAGS with macro arguments.

* feature2d: unify perf test

use the same test for all detectors/descriptors we have.

* added AKAZE tests

* features2d: extend perf tests

* add BRISK, KAZE, MSER
* run all extract tests on AKAZE keypoints, so that the test si more comparable for the speed of extraction

* feature2d: rework opencl perf tests

use the same configuration as cpu tests

* feature2d: fix descriptors allocation for AKAZE and KAZE

fix crash when descriptors are UMat

* feature2d: name enum to fix build with older gcc

* Revert "ts: expand arguments before stringifications in CV_ENUM and CV_FLAGS"

This reverts commit 19538cac1e.

This wasn't a great idea after all. There is a lot of flags implemented as #define, that we don't want to expand.

* feature2d: fix expansion problems with CV_ENUM in perf

* expand arguments before passing them to CV_ENUM. This does not need modifications of CV_ENUM.
* added include guards to `perf_feature2d.hpp`

* feature2d: fix crash in AKAZE when using KAZE descriptors

* out-of-bound access in Get_MSURF_Descriptor_64
* this happened reliably when running on provided keypoints (not computed by the same instance)

* feature2d: added regression tests for AKAZE

* test with both MLDB and KAZE keypoints

* feature2d: do not compute keypoints orientation twice

* always compute keypoints orientation, when computing keypoints
* do not recompute keypoint orientation when computing descriptors

this allows to test detection and extraction separately

* features2d: fix crash in AKAZE

* out-of-bound reads near the image edge
* same as the bug in KAZE descriptors

* feature2d: refactor invariance testing

* split detectors and descriptors tests
* rewrite to google test to simplify debugging
* add tests for AKAZE and one test for ORB

* stitching: add tests with AKAZE feature finder

* added basic stitching cpu and ocl tests
* fix bug in AKAZE wrapper for stitching pipeline causing lots of
! OPENCV warning: getUMat()/getMat() call chain possible problem.
!                 Base object is dead, while nested/derived object is still alive or processed.
!                 Please check lifetime of UMat/Mat objects!
2017-06-21 14:33:09 +03:00
Anupam Sobti
42a2454f1a Fix for issue #8615. Added cudawarping to optional modules and removed opencv_cudafilters 2017-05-12 21:55:35 +05:30
Alexander Broemmer
b2524f4571 Clear old CameraParameters in AffineBasedEstimator
AffineBasedEstimator crashed when called with an existing CameraParameters.
This happens e.g. when using Stitcher in SCANS mode.
CameraraParameters is now cleared before any calculation is executed.
2017-03-28 15:19:25 +02:00
Alexander Broemmer
30d26acee0 Make stitching panoramas reusable after estimating transform once
Stitcher will now make a working copy of the CameraParams object to avoid side effects when composing Panorama.
Makes it possible to estimate transform once and then compose multiple panoramas. Useful for setup with fixed cameras.
2017-03-24 14:20:43 +01:00
Maksim Shabunin
9333f82be0 Reduce dependencies between modules 2017-03-15 17:58:52 +03:00
Alexander Alekhin
e65c6270bf stitching(perf): workaround test failures
force other RNG seed
2017-03-02 13:45:12 +03:00
Alexander Alekhin
53e685461e stitching: force "stable" RNG 2017-03-02 13:45:12 +03:00
Wenju He
9fbce6c8c8 fix multiband_blend.cu build error in issue opencv_contrib#1012 2017-02-22 08:44:10 +08:00
Wenju He
2722133206 add accuracy test CUDA_MultiBandBlender 2017-02-12 17:16:49 +08:00
Wenju He
b76e88354c improve MultiBandBlender cuda, add normalizeUsingWeight and addSrcWeight kernels 2017-02-12 17:08:05 +08:00
Alexander Alekhin
36b34465a4 cmake: include contrib modules into opencv_world 2017-01-23 18:45:53 +03:00
Alexander Alekhin
522cfa77b8 test: don't check magic values in stitching perf test 2016-10-31 13:37:59 +03:00
Quentin
bbd4a0eb51 Compensate exposure before finding seams 2016-10-28 17:04:05 +02:00
Jiri Horner
c17afe0fab Merge pull request #6933 from hrnr:gsoc_all
[GSOC] New camera model for stitching pipeline

* implement estimateAffine2D

estimates affine transformation using robust RANSAC method.

* uses RANSAC framework in calib3d
* includes accuracy test
* uses SVD decomposition for solving 3 point equation

* implement estimateAffinePartial2D

estimates limited affine transformation

* includes accuracy test

* stitching: add affine matcher

initial version of matcher that estimates affine transformation

* stitching: added affine transform estimator

initial version of estimator that simply chain transformations in homogeneous coordinates

* calib3d: rename estimateAffine3D test

test Calib3d_EstimateAffineTransform rename to Calib3d_EstimateAffine3D. This is more descriptive and prevents confusion with estimateAffine2D tests.

* added perf test for estimateAffine functions

tests both estimateAffine2D and estimateAffinePartial2D

* calib3d: compare error in square in estimateAffine2D

* incorporates fix from #6768

* rerun affine estimation on inliers

* stitching: new API for parallel feature finding

due to ABI breakage new functionality is added to `FeaturesFinder2`, `SurfFeaturesFinder2` and `OrbFeaturesFinder2`

* stitching: add tests for parallel feature find API

* perf test (about linear speed up)
* accuracy test compares results with serial version

* stitching: use dynamic_cast to overcome ABI issues

adding parallel API to FeaturesFinder breaks ABI. This commit uses dynamic_cast and hardcodes thread-safe finders to avoid breaking ABI.

This should be replaced by proper method similar to FeaturesMatcher on next ABI break.

* use estimateAffinePartial2D in AffineBestOf2NearestMatcher

* add constructor to AffineBestOf2NearestMatcher

* allows to choose between full affine transform and partial affine transform. Other params are the as for BestOf2NearestMatcher
* added protected field

* samples: stitching_detailed support affine estimator and matcher

* added new flags to choose matcher and estimator

* stitching: rework affine matcher

represent transformation in homogeneous coordinates

affine matcher: remove duplicite code
rework flow to get rid of duplicite code

affine matcher: do not center points to (0, 0)
it is not needed for affine model. it should not affect estimation in any way.

affine matcher: remove unneeded cv namespacing

* stitching: add stub bundle adjuster

* adds stub bundle adjuster that does nothing
* can be used in place of standard bundle adjusters to omit bundle adjusting step

* samples: stitching detailed, support no budle adjust

* uses new NoBundleAdjuster

* added affine warper

* uses R to get whole affine transformation and propagates rotation and translation to plane warper

* add affine warper factory class

* affine warper: compensate transformation

* samples: stitching_detailed add support for affine warper

* add Stitcher::create method

this method follows similar constructor methods and returns smart pointer. This allows constructing Stitcher according to OpenCV guidelines.

* supports multiple stitcher configurations (PANORAMA and SCANS) for convenient setup
* returns cv::Ptr

* stitcher: dynamicaly determine correct estimator

we need to use affine estimator for affine matcher

* preserves ABI (but add hints for ABI 4)
* uses dynamic_cast hack to inject correct estimator

* sample stitching: add support for multiple modes

shows how to use different configurations of stitcher easily (panorama stitching and scans affine model)

* stitcher: find features in parallel

use new FeatureFinder API to find features in parallel. Parallelized using TBB.

* stitching: disable parallel feature finding for OCL

it does not bring much speedup to run features finder in parallel when OpenCL is enabled, because finder needs to wait for OCL device.

Also, currently ORB is not thread-safe when OCL is enabled.

* stitching: move matcher tests

move matchers tests perf_stich.cpp -> perf_matchers.cpp

* stitching: add affine stiching integration test

test basic affine stitching (SCANS mode of stitcher) with images that have only translation between them

* enable surf for stitching tests

stitching.b12 test was failing with surf

investigated the issue, surf is producing good result. Transformation is only slightly different from ORB, so that resulting pano does not exactly match ORB's result. That caused sanity check to fail.

* added size checks similar to other tests
* sanity check will be applied only for ORB

* stitching: fix wrong estimator choice

if case was exactly wrong, estimators were chosen wrong

added logging for estimated transformation

* enable surf for matchers stitching tests

* enable SURF
* rework sanity checking. Check estimated transform instead of matches. Est. transform should be more stable and comparable between SURF and ORB.
* remove regression checking for VectorFeatures tests. It has a lot if data andtest is the same as previous except it test different vector size for performance, so sanity checking does not add any value here. Added basic sanity asserts instead.

* stitching tests: allow relative error for transform

* allows .01 relative error for estimated homography sanity check in stitching matchers tests
* fix VS warning

stitching tests: increase relative error

increase relative error to make it pass on all platforms (results are still good).

stitching test: allow bigger relative error

transformation can differ in small values (with small absolute difference, but large relative difference). transformation output still looks usable for all platforms. This difference affects only mac and windows, linux passes fine with small difference.

* stitching: add tests for affine matcher

uses s1, s2 images. added also new sanity data.

* stitching tests: use different data for matchers tests

this data should yeild more stable transformation (it has much more matches, especially for surf). Sanity data regenerated.

* stitching test: rework tests for matchers

* separated rotation and translations as they are different by scale.
* use appropriate absolute error for them separately. (relative error does not work for values near zero.)

* stitching: fix affine warper compensation

calculation of rotation and translation extracted for plane warper was wrong

* stitching test: enable surf for opencl integration tests

* enable SURF with correct guard (HAVE_OPENCV_XFEATURES2D)
* add OPENCL guard and correct namespace as usual for opencl tests

* stitching: add ocl accuracy test for affine warper

test consistent results with ocl on and off

* stitching: add affine warper ocl perf test

add affine warper to existing warper perf tests. Added new sanity data.

* stitching: do not overwrite inliers in affine matcher

* estimation is run second time on inliers only, inliers produces in second run will not be therefore correct for all matches

* calib3d: add Levenberg–Marquardt refining to estimateAffine2D* functions

this adds affine Levenberg–Marquardt refining to estimateAffine2D functions similar to what is done in findHomography.

implements Levenberg–Marquardt refinig for both full affine and partial affine transformations.

* stitching: remove reestimation step in affine matcher

reestimation step is not needed. estimateAffine2D* functions are running their own reestimation on inliers using the Levenberg-Marquardt algorithm, which is better than simply rerunning RANSAC on inliers.

* implement partial affine bundle adjuster

bundle adjuster that expect affine transform with 4DOF. Refines parameters for all cameras together.

stitching: fix bug in BundleAdjusterAffinePartial

* use the invers properly
* use static buffer for invers to speed it up

* samples: add affine bundle adjuster option to stitching_detailed

* add support for using affine bundle adjuster with 4DOF
* improve logging of initial intristics

* sttiching: add affine bundle adjuster test

* fix build warnings

* stitching: increase limit on sanity check

prevents spurious test failures on mac. values are still pretty fine.

* stitching: set affine bundle adjuster for SCANS mode

* fix bug with AffineBestOf2NearestMatcher (we want to select affine partial mode)
* select right bundle adjuster

* stitching: increase error bound for matcher tests

* this prevents failure on mac. tranformation is still ok.

* stitching: implement affine bundle adjuster

* implements affine bundle adjuster that is using full affine transform
* existing test case modified to test both affinePartial an full affine bundle adjuster

* add stitching tutorial

* show basic usage of stitching api (Stitcher class)

* stitching: add more integration test for affine stitching

* added new datasets to existing testcase
* removed unused include

* calib3d: move `haveCollinearPoints` to common header

* added comment to make that this also checks too close points

* calib3d: redone checkSubset for estimateAffine* callback

* use common function to check collinearity
* this also ensures that point will not be too close to each other

* calib3d: change estimateAffine* functions API

* more similar to `findHomography`, `findFundamentalMat`, `findEssentialMat` and similar
* follows standard recommended semantic INPUTS, OUTPUTS, FLAGS
* allows to disable refining
* supported LMEDS robust method (tests yet to come) along with RANSAC
* extended docs with some tips

* calib3d: rewrite estimateAffine2D test

* rewrite in googletest style
* parametrize to test both robust methods (RANSAC and LMEDS)
* get rid of boilerplate

* calib3d: rework estimateAffinePartial2D test

* rework in googletest style
* add testing for LMEDS

* calib3d: rework estimateAffine*2D perf test

* test for LMEDS speed
* test with/without Levenberg-Marquart
* remove sanity checking (this is covered by accuracy tests)

* calib3d: improve estimateAffine*2D tests

* test transformations in loop
* improves test by testing more potential transformations

* calib3d: rewrite kernels for estimateAffine*2D functions

* use analytical solution instead of SVD
* this version is faster especially for smaller amount of points

* calib3d: tune up perf of estimateAffine*2D functions

* avoid copying inliers
* avoid converting input points if not necessary
* check only `from` point for collinearity, as `to` does not affect stability of transform

* tutorials: add commands examples to stitching tutorials

* add some examples how to run stitcher sample code
* mention stitching_detailed.cpp

* calib3d: change computeError for estimateAffine*2D

* do error computing in floats instead of doubles

this have required precision + we were storing the result in float anyway. This make code faster and allows auto-vectorization by smart compilers.

* documentation: mention estimateAffine*2D function

* refer to new functions on appropriate places
* prefer estimateAffine*2D over estimateRigidTransform

* stitching: add camera models documentations

* mention camera models in module documentation to give user a better overview and reduce confusion
2016-10-22 19:10:42 +03:00
Alexander Alekhin
07711e404b Merge pull request #7506 from mshabunin:x11-collide-warning 2016-10-17 19:50:30 +00:00
Vadim Pisarevsky
27c8f8a1d4 Merge pull request #7443 from Tytan:akaze 2016-10-17 09:22:52 +00:00
mshabunin
6a66af72c8 Added warning about possible X11 macro collision 2016-10-17 12:07:27 +03:00
Alexander Alekhin
5da8d65371 eliminate compiler warnings 2016-10-08 02:19:43 +03:00
Quentin
9b4cf896fd Added AKAZE features in the stitcher pipeline (issue #6474) 2016-10-06 17:47:20 +02:00
Alexander Alekhin
1c18b1d245 Merge pull request #7370 from souch55:Fixxn 2016-10-01 10:44:56 +00:00
sourin
a34fbf7bb1 Fixed identifiers warns 2016-09-30 15:16:29 +05:30
daB0bby
809bbb472b bypass macro 2016-09-23 13:01:19 +02:00
Finfa811
fd1370b92b Reverted BORDER_CONSTAT in stitcher.cpp
Resolves #7251
2016-09-08 10:49:48 +02:00
Pavel Vlasov
30a6cee2fe Instrumentation for OpenCV API regions and IPP functions; 2016-08-19 18:10:03 +03:00
Maksim Shabunin
d1d8c7d8a6 Merge pull request #7056 from ludv1x:python-extra-bindings 2016-08-16 13:00:31 +00:00
Vitaliy Lyudvichenko
ab8de8f506 Adding of user-defined type conversions for python bindings inside module directories
Adding of destructor and placement new constructors for classes wrapped with CV_EXPORTS_W_SIMPLE macro
2016-08-16 13:10:17 +03:00
Maksim Shabunin
031076ab93 Merge pull request #7077 from LaurentBerger:I7063 2016-08-15 09:08:44 +00:00
LaurentBerger
b75bac7975 Solve Issue 7063
consequences of changes

accuracy test

Solve issue 7063
2016-08-11 10:56:50 +02:00
Alexander Alekhin
f8b185b55f Merge pull request #7070 from paroj:noculegacy 2016-08-10 10:48:31 +00:00
Pavel Rojtberg
677f242761 stitching: use correct ifdef to allow compilation without cudalegacy
GraphCutSeamFinderGpu requires cudalegacy.
2016-08-09 11:39:05 +02:00
lewgate
4ae4a705d5 Fix a bug for seam_finders.cpp when computing the source and destination points of the seam 2016-07-31 17:13:23 +08:00
Alexander Alekhin
60676dbbe8 fix build: move LOG macro from stitching public headers 2016-07-20 18:10:26 +03:00
Maksim Shabunin
3cc234588a Added build warnings in case of macro definition conflicts 2016-02-25 11:51:02 +03:00
emiswelt
b6c5936704 Removed trailing whitespace.
Note: Force push to force a re-run of build tests. The previous tests
failed in an unrelated module. I assume it's a bug that occured
randomly.
2016-01-20 12:04:42 +00:00
emiswelt
cc3b2f6197 Added a helpful comment on the scale parameter of the spherical
warper.
2016-01-19 15:39:07 +00:00
Maksim Shabunin
84f37d352f HAL moved back to core 2015-12-17 12:33:23 +03:00
Alexander Alekhin
5c15461595 UMat access flags (fixes #5095) 2015-12-14 14:26:43 +03:00
Maksim Shabunin
f814218640 Coverity: uninitialized fields in Stitcher 2015-12-09 14:25:08 +03:00
Alexander Alekhin
d86d8ed909 Merge 2.4 into master
PR #2968: cce2d99 8578f9c
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
2015-12-08 10:24:54 +03:00
Vadim Pisarevsky
3942b1f362 Merge pull request #5340 from alalek:ocl_off 2015-11-10 16:53:36 +00:00