Commit Graph

2287 Commits

Author SHA1 Message Date
LaurentBerger
d8fdf9321d mend 2016-12-15 22:49:37 +01:00
LaurentBerger
4826d976d6 Suppress warning unused parameter 2016-12-15 10:51:08 +01:00
LaurentBerger
61b9484155 ApplyColorMap can be used with a user colormap 2016-12-15 10:17:05 +01:00
Rostislav Vasilikhin
8b9422a052 OpenVX wrappers rewritten with CV_OVX_RUN, VX_DbgThrow 2016-12-14 17:49:41 +03:00
Vitaly Tuzov
2c89b39eee Added OpenVX based processing to calcHist 2016-12-13 18:33:02 +03:00
Vladislav Sovrasov
12383a124b Disable error throwing in convexityDefects when hull is a line or point 2016-12-13 12:28:38 +03:00
apavlenko
3aedc134c2 replacing white noise with fruits picture 2016-12-12 17:55:11 +03:00
apavlenko
a99118c4c7 moving CannyVX test from ocl to cpp file 2016-12-09 15:07:53 +03:00
apavlenko
4246d3667f disabling again 2016-12-09 14:53:06 +03:00
apavlenko
76c38f0c80 trying to enable canny_vx adding a new test comparing canny_cv vs canny_vx 2016-12-09 14:53:06 +03:00
apavlenko
f3ec56fcee fixing build errors 2016-12-09 14:53:06 +03:00
apavlenko
541d5b02d9 disabling due to accuracy issues 2016-12-09 14:53:06 +03:00
apavlenko
ccd8031a33 fixing compilation 2016-12-09 14:53:06 +03:00
apavlenko
1e2ddc30b1 Canny via OpenVX, Node wrapper extended (query/set attribute), some naming fixes 2016-12-09 14:53:06 +03:00
Li Peng
396921dd23 5x5 gaussian blur optimization
Add new 5x5 gaussian blur kernel for CV_8UC1 format,
it is 50% ~ 70% faster than current ocl kernel in the perf test.

Signed-off-by: Li Peng <peng.li@intel.com>
2016-12-06 09:42:37 +08:00
Vadim Pisarevsky
f84dc354f6 Merge pull request #7564 from terfendail:ovx_gaussianfilter 2016-12-02 15:24:03 +00:00
Vitaly Tuzov
afc7396975 Added OpenVX based processing to gaussianBlur 2016-12-02 14:46:12 +03:00
Li Peng
b69cdb2434 Image pyramids upsampling optimization
Add new ocl kernel for image pyramids upsampling,
It is 35% faster than current OCL kernel in perf test.

Signed-off-by: Li Peng <peng.li@intel.com>
2016-12-02 13:54:58 +08:00
Vadim Pisarevsky
c99097f89a Merge pull request #7478 from terfendail:ovx_boxfilter 2016-12-01 17:57:46 +00:00
Vadim Pisarevsky
1d45726f47 Merge pull request #7588 from terfendail:ovx_medianblur 2016-12-01 17:54:34 +00:00
Vadim Pisarevsky
e623e710be Merge pull request #7597 from terfendail:ovx_threshold 2016-12-01 17:53:38 +00:00
Vadim Pisarevsky
32f48a8d9c Merge pull request #7631 from savuor:openvx_accumulate 2016-12-01 17:49:18 +00:00
Vadim Pisarevsky
8968318dfc Merge pull request #7668 from savuor:openvx_equalize_hist 2016-12-01 17:43:44 +00:00
Vitaly Tuzov
6d55e99291 Added OpenVX based processing to boxFilter 2016-11-30 11:27:25 +03:00
Li Peng
2ca5a7e862 more optimization for warpAffine and warpPerspective
Add new OpenCL kernels for bicubic interploation, it is 20% faster
than current warp image kernel with bicubic interploation.

Signed-off-by: Li Peng <peng.li@intel.com>
2016-11-30 15:43:41 +08:00
Vadim Pisarevsky
c47267ef7f Merge pull request #7538 from Tetragramm:CLAHEfix 2016-11-29 16:42:05 +00:00
Vadim Pisarevsky
57aaec1ee8 Merge pull request #7610 from terfendail:ovx_sobel 2016-11-29 16:40:10 +00:00
Rostislav Vasilikhin
0ac934d09a added OpenVX call to equalizeHist() function 2016-11-29 17:53:47 +03:00
Rostislav Vasilikhin
7c2734ff14 added OpenVX calls to accumulate(), accumulateSquare(), accumulateWeighted() 2016-11-29 17:53:35 +03:00
Vitaly Tuzov
0cd3788624 Added OpenVX based processing to threshold 2016-11-29 15:35:52 +03:00
Vitaly Tuzov
9200db778c Added OpenVX based processing to medianBlur 2016-11-29 15:32:07 +03:00
Vitaly Tuzov
e8f3469096 Added OpenVX based processing to Sobel 2016-11-29 15:29:00 +03:00
Alexander Alekhin
90b52cd9b8 Merge pull request #7726 from pengli:warp_image 2016-11-29 12:19:18 +00:00
Li Peng
b72d196753 optimization for warpAffine and warpPerspective
Add new ocl kernels for warpAffine and warpPerspective,
The average performance improvemnt is about 30%. The new
ocl kernels require CV_8UC1 format and support nearest
neighbor and bilinear interpolation.

Signed-off-by: Li Peng <peng.li@intel.com>
2016-11-29 14:55:58 +08:00
Alexander Alekhin
7dc673fd56 imgproc: fix findContours (submatrix input) 2016-11-25 18:25:26 +03:00
Alexander Alekhin
88ef8c996e Merge pull request #7709 from alalek:fix_java_tests 2016-11-24 16:15:56 +00:00
Alexander Alekhin
4fd00c1ae1 Merge pull request #7714 from onixie:master
Fix docs explaining the returnPoints argument of convexHull.
2016-11-23 17:44:05 +03:00
Rostislav Vasilikhin
7db43f9fff fixed wrong equivalence in YUV conversion (#7481)
* fixed wrong equivalence in YUV conversion

* fixed channel order from YVU to YUV
2016-11-23 17:39:18 +03:00
Vadim Pisarevsky
b8c875d4a1 Merge pull request #7707 from K-Shinotsuka:issue37 2016-11-23 14:15:02 +00:00
monoid911
b879126584 Fix docs explaining the returnPoints argument of convexHull. 2016-11-23 20:43:52 +09:00
Alexander Alekhin
8019498c6e java tests fixes 2016-11-23 13:53:00 +03:00
k-shinotsuka
284006e336 add NEON code for RGB2Luv_f. 2016-11-23 19:18:41 +09:00
Vadim Pisarevsky
c1ee798213 Merge pull request #7662 from K-Shinotsuka:issue34 2016-11-22 13:57:13 +00:00
Vadim Pisarevsky
af22b6c4a9 Merge pull request #7664 from K-Shinotsuka:issue35 2016-11-22 13:49:14 +00:00
Vadim Pisarevsky
b54bc2db1e Merge pull request #7665 from K-Shinotsuka:issue36 2016-11-22 13:44:42 +00:00
Pavel Vlasov
dfb9c574a4 IPP 2017 filter2D fix;
filter2D IPP runtime check;
2016-11-21 17:18:03 +03:00
Li Peng
6cb73356b1 laplacian ocl kernel optimization
This ocl kernel is 46%~171% faster than current laplacian 3x3
ocl kernel in the perf test, with image format "CV_8UC1".

Signed-off-by: Li Peng <peng.li@intel.com>
2016-11-17 12:01:02 +08:00
k-shinotsuka
cf5c400ecb add SSE code for RGB2HLS_f. 2016-11-16 00:46:13 +09:00
Alexander Alekhin
c93fb14dd2 Merge pull request #7653 from pengli:deriv 2016-11-14 13:40:04 +00:00
Juha Reunanen
5bb08bae28 Merge pull request #7464 from reunanen:test-7409-7458
Change contour test images to be very wide (#7464)

* Change contour test images to be very wide (#7409, #7458)

Unfortunately, slows down the tests.

* Decrease the number of contour test cases, in order to (at least partially) offset the test run duration increase caused by making the test images wider

* Don't test with very wide images on 32-bit architectures
2016-11-14 16:31:29 +03:00