231 Commits

Autor SHA1 Mensagem Data
Andrey Kamaev facab40745 Disable -fomit-frame-pointer for OS X Clang as it leads to crash on exception thrown 2013-03-01 19:44:17 +04:00
Andrey Kamaev 08545b8f96 Merge pull request #603 from taka-no-me:avoid_deps_on_missing_lib 2013-03-01 17:10:46 +04:00
Andrey Kamaev f22ee8fc19 Merge pull request #602 from bitwangyaoyao:2.4_fixAdd 2013-03-01 17:10:11 +04:00
Andrey Kamaev e6cb44edc3 Merge pull request #600 from taka-no-me:fix_build_warnings 2013-03-01 17:09:56 +04:00
Andrey Kamaev 1094179155 Avoid build falure in armeabi build with Android SDK 2013-03-01 16:50:42 +04:00
cuda-geek a706de2446 Merge pull request #601 from apavlenko:android_tutorial_update 2013-03-01 16:09:25 +04:00
yao 65bb4250a4 Fix a bug in addWeighted x64 mode
And a potential problem in remap
2013-03-01 18:08:53 +08:00
Andrey Pavlenko 07b1ccdeb0 removing redundant picture resize 2013-03-01 13:56:50 +04:00
Andrey Kamaev 2128b82c6b Merge pull request #598 from asmorkalov:lib_info_fix 2013-03-01 13:52:57 +04:00
Andrey Pavlenko 978132edc1 minor Android tutorial fixes 2013-03-01 13:52:14 +04:00
Andrey Kamaev 22d33373fa Fix build warnings on MSVC x64 and OS X clang 2013-03-01 13:29:43 +04:00
Andrey Kamaev eaaba1336a Merge pull request #595 from bitwangyaoyao:2.4_perfTest 2013-03-01 12:49:43 +04:00
Andrey Kamaev 85c7a36f93 Merge pull request #594 from asmorkalov:android_all_build_fix 2013-03-01 12:49:27 +04:00
Andrey Kamaev 6be6adbbed Merge pull request #593 from apavlenko:java_tutorial_fixes 2013-03-01 12:49:15 +04:00
Alexander Smorkalov da455efc26 Full package version fixed. 2013-03-01 12:44:14 +04:00
Vadim Pisarevsky a910360689 Merge pull request #586 from bitwangyaoyao:2.4_FixBFMatcher 2013-03-01 10:55:11 +04:00
yao 8f3883a28d fix a compile warning 2013-03-01 10:06:51 +08:00
yao 82b9854837 fix compile warnings 2013-03-01 08:47:20 +08:00
Alexander 3cfd3d3ee0 Build with OpenCV.mk for all terget fixed. 2013-02-28 21:43:57 +04:00
Andrey Pavlenko af2552d72c fixing issues from http://www.code.opencv.org/issues/2807 2013-02-28 19:11:24 +04:00
Andrey Kamaev c865b28243 Merge pull request #591 from jet47:gpu-sanity-tests 2013-02-28 18:08:11 +04:00
Andrey Kamaev 79cf292d78 Merge pull request #590 from apavlenko:java_fixes 2013-02-28 18:07:33 +04:00
Andrey Kamaev 1018d110d6 Merge pull request #589 from taka-no-me:2digit_pyversion 2013-02-28 18:06:43 +04:00
Andrey Kamaev fba0e6fc5c Merge pull request #587 from bitwangyaoyao:2.4_fixHog 2013-02-28 18:06:28 +04:00
Andrey Kamaev 4811988caf Merge pull request #585 from bitwangyaoyao:2.4_SURF 2013-02-28 18:06:14 +04:00
Andrey Kamaev 2a73a6c445 Merge pull request #525 from odeniz:2.4 2013-02-28 18:05:55 +04:00
Andrey Pavlenko d18b2c2502 patch -> revision 2013-02-28 17:19:52 +04:00
Andrey Pavlenko c24d7cc066 adding more version-related variables 2013-02-28 16:56:53 +04:00
Vladislav Vinogradov f533f0dca9 fixed gpu sanity tests 2013-02-28 16:54:37 +04:00
Andrey Kamaev bd38a1945d Honor 2-digit python version 2013-02-28 16:32:13 +04:00
Andrey Pavlenko 29b763dc60 updating samples to load JNI lib with correct suffix 2013-02-28 16:24:52 +04:00
Andrey Pavlenko 5321da92cb adding/fixing version suffix for desktop java library on all OSes 2013-02-28 16:12:44 +04:00
Andrey Kamaev f4b413e830 Merge pull request #570 from taka-no-me:fix_android_cmakeconfig 2013-02-28 15:45:45 +04:00
Andrey Kamaev 1f411b5a2b Merge pull request #572 from asmorkalov:manager_4_digit_version 2013-02-28 15:44:57 +04:00
Andrey Kamaev bf4c8c6ff1 Merge pull request #584 from bitwangyaoyao:2.4_perfTest 2013-02-28 15:44:06 +04:00
Andrey Kamaev d0e340bc80 Merge pull request #582 from bitwangyaoyao:2.4_fixBlend 2013-02-28 15:43:51 +04:00
Alexander Smorkalov ddc2e334da OpenCV version swithed to 4 digit in GUI and package revision number. 2013-02-28 12:59:24 +04:00
yao f12369a53c Fix ocl::HOG crash on Intel OCL 2013-02-28 16:56:39 +08:00
Andrey Kamaev 831580ef31 Merge pull request #578 from jet47:nmake-ffmpeg-copy 2013-02-28 12:56:26 +04:00
Andrey Kamaev 6ce51d88a4 Merge pull request #573 from jet47:config-cross-compilation 2013-02-28 12:56:08 +04:00
cuda-geek 0771fd82c0 Merge pull request #557 from jet47:gpu-sanity 2013-02-28 11:17:12 +04:00
yao f791344810 linux warning fix 2013-02-28 14:37:37 +08:00
Vladislav Vinogradov 61ef48eee6 fixed OpenCVConfig for cross-compilation:
* added CUDA to EXTRA libs if OpenCV uses it
* added -rpath-link option for linker if OpenCV was built as SHARED libs
2013-02-28 10:33:05 +04:00
yao 504008dbe0 Fix ocl::bruteforcematcher crash on Intel OCL 2013-02-28 14:31:08 +08:00
Vladislav Vinogradov df456245e7 fixed ffmpeg destination folder for NMake generator 2013-02-28 10:16:41 +04:00
yao 7c1f1d8837 fix bug #2787 2013-02-28 14:05:36 +08:00
yao ed3c3822fc adjust some test cases, use original template file name in Haar 2013-02-28 12:15:13 +08:00
yao 69eebdd608 fix the blend crash in some cases 2013-02-28 09:03:10 +08:00
Andrey Kamaev 2be893a21e Revise git attributes 2013-02-28 03:18:54 +04:00
Andrey Kamaev a5d2253be8 Merge pull request #544 from AnnaKogan8:added-regressions-only-option 2013-02-28 00:38:47 +04:00
Andrey Kamaev 5b7a4cd955 Merge pull request #579 from bitwangyaoyao:2.4_perfTest 2013-02-27 19:34:17 +04:00
Andrey Kamaev 0a8711d76b Merge pull request #576 from bitwangyaoyao:2.4_customMat2 2013-02-27 19:33:54 +04:00
Andrey Kamaev af13c8604d Merge pull request #568 from bitwangyaoyao:2.4_moments 2013-02-27 19:33:26 +04:00
yao cbff75db9e fix build errors 2013-02-27 21:56:03 +08:00
yao bf427c01c1 adjust matchTemplate in performance sample, as current version is too slow when template size isn't small 2013-02-27 21:41:04 +08:00
Andrey Kamaev 024185b9ed Fix OpenCVConfig.cmake generated for Android platform (issue #2496)
* fix path to libraries in Android SDK
* allow to link to opencv_java.so as Android.mk does

To link to opencv_java.so you can either change your cmake to find OpenCV as

    find_package(OpenCV opencv_java)

or pass -DOpenCV_FIND_COMPONENTS=opencv_java to your cmake command
2013-02-27 15:04:29 +04:00
yao 9ccf27c7f5 add interfaces enable custom oclMat device memory type 2013-02-27 17:32:32 +08:00
cuda-geek 5d43ce853e Merge pull request #559 from jet47:gpu-hough-circles 2013-02-27 12:29:45 +04:00
Andrey Kamaev 1a82ceac9c Merge pull request #563 from taka-no-me:perf_classify_speedups 2013-02-27 11:37:18 +04:00
Andrey Kamaev b836e3c65b Merge pull request #556 from bitwangyaoyao:2.4_SURF 2013-02-27 11:37:04 +04:00
Andrey Kamaev f03c04c151 Merge pull request #554 from bitwangyaoyao:2.4_impvInterFrame 2013-02-27 11:36:40 +04:00
Andrey Kamaev c54c7c8b2c Merge pull request #553 from bitwangyaoyao:2.4_perfTest 2013-02-27 11:36:23 +04:00
yao dba2ec0539 remove the compile warnings 2013-02-27 14:53:27 +08:00
yao 6df23428af Add moments function 2013-02-27 13:45:16 +08:00
yao 6409a4b112 fix the compile warnings 2013-02-27 11:16:46 +08:00
yao 9ec5333a9b pyrlk also take advantages of cl_image support detection 2013-02-27 10:45:07 +08:00
yao da47ccec9c Put the cl_image support detection in utils 2013-02-27 10:24:03 +08:00
Andrey Kamaev 8304f17d63 Merge pull request #565 from cuda-geek:auto-arch 2013-02-27 00:05:16 +04:00
Andrey Kamaev e9307259d7 Merge pull request #564 from apavlenko:eclipse_import_fix 2013-02-27 00:05:02 +04:00
marina.kolpakova 7a08bbbcc7 add CUDA_GENERATION macro 2013-02-26 20:13:47 +04:00
cuda-geek 0e5255d4fb Merge pull request #561 from asmorkalov:android_tutorial_2_4_4_update 2013-02-26 19:58:34 +04:00
Andrey Pavlenko 1c1c3c29c3 fixing eclipse import errors 2013-02-26 19:52:59 +04:00
Andrey Kamaev 4d2c864bea Add option --with-score to summary.py to automatically classify speedups
Legend for new column is:
* FASTER - strong speedup
* faster - spedup is detected but it is unreliable
* <empty> - no change in speed
* slower - slowdown is detected but it is unreliable
* SLOWER - strong slowdown
2013-02-26 19:42:51 +04:00
Andrey Kamaev 2304d5367f Merge pull request #549 from asmorkalov:android_mips_static_build_fix 2013-02-26 19:03:43 +04:00
Andrey Kamaev f6dd3651ea Merge pull request #552 from taka-no-me:fix_invert 2013-02-26 18:31:30 +04:00
Andrey Kamaev dcf7a69430 Merge pull request #555 from bitwangyaoyao:2.4_fixFft 2013-02-26 18:31:17 +04:00
yao 04faaa9e35 Fix ocl::dft the compile warning on Linux 2013-02-26 21:18:51 +08:00
Alexander Smorkalov 8458f5c489 Android tutorial updated
OpenCV version incremented;
New CvCameraViewListener interface description added.
2013-02-26 16:35:02 +04:00
yao 3ff5689fe5 Merge branch '2.4_fixFft' of https://github.com/bitwangyaoyao/opencv into 2.4 2013-02-26 20:30:42 +08:00
Vladislav Vinogradov 10402c8a85 fixed gpu HoughCircles test 2013-02-26 16:10:35 +04:00
Vladislav Vinogradov c9868fc01f fixed warp tests 2013-02-26 13:53:39 +04:00
Vladislav Vinogradov 4f7cfbc26e fixed gpu bitwise operations with scalars 2013-02-26 13:53:39 +04:00
Vladislav Vinogradov a138e12a26 refactored gpu perf tests and fixed sanity tests 2013-02-26 13:53:38 +04:00
yao ea433cc496 remove the device specific logic 2013-02-26 17:53:08 +08:00
yao 62f8b0fc48 Fix ocl::dft error when program end on Linux 2013-02-26 17:44:19 +08:00
yao 0ac7f0d374 Simplify the bind texture logic of interpolate frame function 2013-02-26 17:12:03 +08:00
yao e3a715882e fix the mismatch of perf_test, add a performance sample for ocl module 2013-02-26 16:52:30 +08:00
Alexander Smorkalov 11885e86ee Feature #2833 Sepia size in Image Manipulations demo implemented. 2013-02-26 11:25:33 +04:00
Andrey Kamaev ab221e94c0 Fix invert under MSVC 2013-02-26 11:16:57 +04:00
Anna Kogan a9b1c5db78 Added --regressions-only=X-FACTOR option 2013-02-26 11:09:17 +04:00
Alexander Smorkalov 3c7bc6a51e Static ANdroid samples build for MIPS fixed 2013-02-26 10:32:10 +04:00
Andrey Kamaev 0d12f451be Merge pull request #524 from LeonidBeynenson:add_float_and_unsigned_parameters_to_cv_algorithm 2013-02-26 01:00:55 +04:00
Andrey Kamaev 11b83d4000 Merge pull request #547 from vpisarev:fixes_244 2013-02-26 01:00:36 +04:00
Vadim Pisarevsky 416432a8e5 replaced tabs with spaces 2013-02-25 23:10:38 +04:00
Vadim Pisarevsky 087537463d attempt to make the ultimate fix for the failure in Core_Invert.small 2013-02-25 22:46:30 +04:00
Vadim Pisarevsky 25bbcba0ea fixed Core_MulSpectrums failure 2013-02-25 22:02:24 +04:00
Andrey Kamaev 9f15daf0a0 Merge pull request #542 from asmorkalov:manager_2.4.4_filter 2013-02-25 18:00:14 +04:00
LeonidBeynenson 41dc829341 Made changes to avoid warnings (Windows compilation). 2013-02-25 15:38:59 +04:00
Alexander Smorkalov bb7af3f78e OpenCV Manager preparation to 2.4.4 release
2.4.4 constant added to Manager filter;
Added additional native tests.
2013-02-25 15:34:06 +04:00
Andrey Kamaev 6082f351ab Merge pull request #541 from bitwangyaoyao:2.4_fixCvtColor 2013-02-25 14:04:02 +04:00
Andrey Kamaev b6cdc849db Merge pull request #540 from hgaspar:244 2013-02-25 14:03:36 +04:00
yao 59ebf4ed9f Fix the ocl::cvtColor mismatch on some devices 2013-02-25 15:19:39 +08:00
hgaspar 60981565fa updated the ocl module introduction 2013-02-24 22:34:44 -05:00
Andrey Kamaev 620c699456 Merge pull request #538 from NCBee:patch-2 2013-02-24 15:27:01 +04:00
Andrey Kamaev cfd019e2a2 Merge pull request #537 from bitwangyaoyao:2.4_fixWarpAffine 2013-02-24 15:26:42 +04:00
Andrey Kamaev 7047c23489 Merge pull request #535 from bitwangyaoyao:2.4_clean 2013-02-24 15:26:24 +04:00
Andrey Kamaev 3b1fc16f36 Merge pull request #536 from bitwangyaoyao:2.4_fixHaar 2013-02-24 15:26:06 +04:00
NCBee 7249457771 Update doc/tutorials/core/adding_images/adding_images.rst
Quick fix for: http://code.opencv.org/issues/2803
2013-02-23 10:28:24 -05:00
yao f1a5c1328c remove the empty implementation when HAVE_OPENCL not defined 2013-02-23 20:50:03 +08:00
yao b7ebedc23e fix mismatch of WarpAffine 2013-02-23 17:43:10 +08:00
yao 9bbf170054 some cleanup 2013-02-23 15:34:43 +08:00
yao 720eaf1e1a fix the haar kernel problems on Nvidia and Intel OCL 2013-02-23 15:19:46 +08:00
yao d050159f07 Remove the perf running from ocl::matchTemplate accuracy tests 2013-02-23 14:30:04 +08:00
Oscar Deniz Suarez 07ea88b8c6 Update samples/c/smiledetect.cpp
Fixed isdigit() Android build error
2013-02-22 16:23:42 +01:00
OpenCV Buildbot e6dd4e840d Update FFMPEG wrapper binaries 2013-02-22 16:56:01 +04:00
Andrey Kamaev dfbd5f6a02 Merge pull request #506 from asmorkalov:crosscompile_tutorial 2013-02-22 16:41:16 +04:00
Andrey Kamaev 9bbb0ed060 Merge pull request #531 from asmorkalov:android_mips_fix 2013-02-22 16:40:20 +04:00
Andrey Kamaev 051aa4cb98 Merge pull request #530 from bitwangyaoyao:2.4_fixEqHist 2013-02-22 16:40:06 +04:00
Andrey Kamaev 58f546dd93 Merge pull request #529 from bitwangyaoyao:2.4_fixGemm 2013-02-22 16:39:50 +04:00
Andrey Kamaev 3406832aa2 Merge pull request #528 from bitwangyaoyao:2.4_fixPyrLK 2013-02-22 16:35:30 +04:00
Andrey Kamaev b1975fb13d Merge pull request #527 from bitwangyaoyao:2.4_fixMeanShift 2013-02-22 16:35:18 +04:00
Andrey Kamaev e68901bbce Merge pull request #523 from taka-no-me:fix_2815 2013-02-22 16:34:28 +04:00
Andrey Kamaev 7cd4edd695 Merge pull request #518 from asmorkalov:ts_refactor 2013-02-22 16:34:14 +04:00
yao 1a488c0542 fix the warning on Linux when OpenCL 1.2 not supported 2013-02-22 18:33:16 +08:00
Alexander Smorkalov 4bbdfbc9e7 Bug #2821 Installation of OpenCV modules breaks build on MIPS Android fixed.
Native camera libs for MIPS installation fixed.
2013-02-22 11:57:42 +04:00
yao 7810254198 Fix ocl::equalizeHist mismatch 2013-02-22 15:48:31 +08:00
yao 3316d0bfb2 Fix the compiling errors of gemm on Linux 2013-02-22 15:05:49 +08:00
cuda-geek dea6148a1a Merge pull request #526 from taka-no-me:fix_compatibility 2013-02-22 09:18:19 +04:00
yao 2e3f4fdada fix pyrLK's mismatch on Linux 2013-02-22 11:23:43 +08:00
yao f4ef0c1598 fix meanShift mismatch on none-double GPUs 2013-02-22 10:13:20 +08:00
Andrey Kamaev c17e9ef7ba Repair binary compatibility of ocl module 2013-02-22 01:58:01 +04:00
Oscar Deniz Suarez 8cfba6456b Update samples/c/smiledetect.cpp
- Changed to floating neighbor maximum mode
- Fixed some previous errors.
2013-02-21 22:55:28 +01:00
Andrey Kamaev 995154d10d Fix binary compatibility of gpu module 2013-02-22 00:14:58 +04:00
Oscar Deniz Suarez 379dcf87d5 Added smile detector 2013-02-21 17:17:34 +01:00
LeonidBeynenson bfb644ac04 Changed error message in Algorithm::get. 2013-02-21 20:10:42 +04:00
LeonidBeynenson e7b214b6d2 Removed urequired functions 2013-02-21 19:49:37 +04:00
Andrey Kamaev eda2a76ee9 Merge pull request #520 from jet47:gpu-updates 2013-02-21 18:03:06 +04:00
gferry e3803f9985 fix for OpenCV issue #2815
- libavcodec issue
- some decoders alter AVCodecContext width/height values, in a wrong way
- eg. in issue 2815, vp6f decoder changes these values, resulting in distorted / invalid frames
- this patch forces default AVCodecContext values
2013-02-21 17:37:24 +04:00
Andrey Kamaev f0dce1fa35 Merge pull request #521 from asmorkalov:2.4.4_preparation 2013-02-21 17:25:21 +04:00
Vladislav Vinogradov 73ffd71a22 Fixed documentation build 2013-02-21 17:06:53 +04:00
Vladislav Vinogradov 8b1f88c40f updated gpu module API 2013-02-21 16:12:33 +04:00
Andrey Kamaev afa993316f Merge pull request #502 from jet47:opengl-updates 2013-02-21 15:12:43 +04:00
Alexander Smorkalov 9f39c8eaa1 OpenCV 2.4.4 preparation
Manager verison incremented;
Additional constatnt for library intialization added;
Documents updated.
2013-02-21 14:42:28 +04:00
Andrey Kamaev 16461247ce Merge pull request #498 from asmorkalov:doc_ptr 2013-02-21 13:30:34 +04:00
Andrey Kamaev ff0d23e55b Merge pull request #519 from bitwangyaoyao:2.4_findOCL 2013-02-21 13:30:20 +04:00
Vladislav Vinogradov 21f95a3b11 restored source compatibility 2013-02-21 12:38:12 +04:00
Andrey Kamaev d4e7bec29a Merge pull request #440 from AnnaKogan8:fixed-perfomance-tests 2013-02-21 12:29:57 +04:00
Andrey Kamaev decf04dfec Merge pull request #512 from jet47:core-gpu-updates 2013-02-21 12:22:04 +04:00
Vladislav Vinogradov a938534a7e restored binary compatibility 2013-02-21 12:18:08 +04:00
Alexander 4091eab45e cv::Ptr description extended. 2013-02-21 12:14:42 +04:00
yao f816e10ac9 Add auto detection to Intel OCL 2013-02-21 16:11:18 +08:00
Alexander Smorkalov e21a1d3124 Test system refactoring
cmpEps replaced on cmpEps2 to reduce code dublication;
Constants for cmpEps return values added.
2013-02-21 12:07:04 +04:00
Andrey Kamaev c1a5d1c44a Merge pull request #508 from bitwangyaoyao:2.4_interpKernel 2013-02-21 11:51:06 +04:00
Vladislav Vinogradov ce2559b332 optimized DeviceInfo class and ensureSizeIsEnough 2013-02-20 19:30:57 +04:00
Anna Kogan f6e0d327b0 Increased time limits 2013-02-20 17:34:00 +04:00
Anna Kogan a567c03fdf Switched to TEST_CYCLE_MULTIRUN for fast tests 2013-02-20 17:05:54 +04:00
yao 429ae44ae3 add openCLExecuteKernelInterop method 2013-02-20 17:46:43 +08:00
Alexander Smorkalov 637b48eec8 Tutorial for ARM Linux cross compilation added. 2013-02-20 12:48:30 +04:00
Andrey Kamaev 6ebb0e2ad2 Merge pull request #505 from abidrahmank:2.4 2013-02-20 12:29:53 +04:00
Abid K 96b2898f38 Update samples/python2/hist.py
range in calcHist() changed from [0,255] to [0,256]. Otherwise, it won't count pixels with value 255. It can be verified taking sum of histogram values and checking it with image size.
2013-02-19 19:31:53 +05:30
Andrey Kamaev 5691fd3abe Merge pull request #503 from taka-no-me:fix_docs 2013-02-19 18:01:51 +04:00
Andrey Kamaev 5cc2a6bdbf Merge pull request #500 from nielsgm:predict_python_wrapper_to_docs 2013-02-19 18:01:30 +04:00
Andrey Kamaev afa8e4e645 Merge pull request #492 from taka-no-me:fix_warnings_gcov 2013-02-19 18:01:06 +04:00
Andrey Kamaev 60f7b1d98d Whitelist functions/structs in check_docs2 that are impossible to fix in 2.4 2013-02-19 16:22:20 +04:00
Andrey Kamaev 2fe7482b73 Add support for enums into rst ocv domain 2013-02-19 16:22:20 +04:00
Andrey Kamaev ff7b604a25 Fix several inconsistent declarations identified by check_doc2 script 2013-02-19 16:22:20 +04:00
Vladislav Vinogradov e06c3ec7c5 updated OpenGL functionality:
* removed OpenGLFuncTab, now extensions are loaded internally
* added support of GlBuffer and GlTexture2D to InputArray/OutputArray
* added ELEMENT_ARRAY_BUFFER and PIXEL_PACK_BUFFER targets
* added copyFrom/copyTo method for GlBuffer and GlTexture2D
* removed GlFont
* removed pointCloudShow
* removed OpenGLCleanCallback
* added Access parameter to GlBuffer::mapHost
* added autoRelease parameter to all create methods
2013-02-19 14:13:11 +04:00
Andrey Kamaev 2bbb777d95 Fix warnings about missing parent for class members 2013-02-19 11:49:05 +04:00
Andrey Kamaev 535f1fb2e2 Hack to stop parsing of problematic CvStatModel::train definition 2013-02-19 10:39:31 +04:00
Andrey Kamaev 0570aa6494 Avoid problem of old sphinx reporting an error on lines starting from :
See http://sourceforge.net/tracker/?func=detail&aid=3484857&group_id=38414&atid=422030
2013-02-19 10:34:43 +04:00
Niels Gerlif Myrtue 7697d79d93 Added the predict_all function wrapper for python that was missing from the documentation
Copied the docstring description
2013-02-19 13:11:30 +11:00
Andrey Kamaev 39baa2237e Merge pull request #499 from vpisarev:zeroelem_fix 2013-02-18 18:05:02 +04:00
Andrey Kamaev c6f6f9ab35 Merge pull request #451 from bitwangyaoyao:2.4_operator 2013-02-18 18:04:44 +04:00
Vadim Pisarevsky a1c7e0368c fixed problem reported by Thouis (Ray) Jones 2013-02-18 17:01:21 +04:00
Andrey Kamaev 6503836b4d Merge pull request #469 from asmorkalov:android_manager_4number_version 2013-02-18 15:41:25 +04:00
yao 9613135e8d fix compiling errors on Linux
more operators use oclMatExpr
2013-02-16 18:41:43 +08:00
yao 69fd2d8273 add oclMatExpr class to prevent extra allocations 2013-02-16 11:05:23 +08:00
Andrey Kamaev 7e5eee5bf1 Merge pull request #301 from emchristiansen:javasample2.4 2013-02-15 18:38:25 +04:00
Andrey Kamaev 3ead4449ad Fix several warnings about uninitialized variables from gcov build 2013-02-15 17:28:23 +04:00
Andrey Pavlenko 2853bab471 converting images to PNG 2013-02-15 16:46:30 +04:00
Andrey Pavlenko edb15dee3d review feed-back considered 2013-02-15 16:33:13 +04:00
Andrey Kamaev f58dffe31f Merge pull request #401 from Daniil-Osokin:bugfix_doc_setNumThreads 2013-02-14 19:07:41 +04:00
OpenCV Buildbot 50d3e565c5 Update FFMPEG wrapper binaries 2013-02-14 18:39:24 +04:00
Andrey Kamaev 49c664fad4 Merge pull request #489 from jet47:carma-obsolete 2013-02-14 18:20:31 +04:00
Andrey Pavlenko a8c2fc6908 changing layout, adding ant and eclipse sections, more pictures 2013-02-14 17:54:37 +04:00
Daniil Osokin 5f32e0e24d Rewrote doc for set-get number of threads functionality with support new frameworks (bug #2064) 2013-02-14 17:11:16 +04:00
Daniil Osokin 6deda2531c Fixed getNumThreads() for C= 2013-02-14 17:07:36 +04:00
Andrey Kamaev da1ddc752b Merge pull request #487 from asmorkalov:manager_localref_fix 2013-02-14 16:50:16 +04:00
Vladislav Vinogradov 78c924baad removed obsolete CARMA toolchain and CMake variable 2013-02-14 16:27:17 +04:00
Andrey Kamaev f3874abf68 Merge pull request #488 from AnnaKogan8:updated-ABI-compliance-descriptor-script 2013-02-14 16:08:05 +04:00
Andrey Kamaev 37c6357b97 Merge pull request #485 from jet47:gpu-new-functionality 2013-02-14 16:00:55 +04:00
Anna Kogan f9cf70e93e Updated script for ABI compliance check 2013-02-14 14:59:26 +04:00
Alexander Smorkalov 6619941c90 Issues in management of local reference to jni objects fixed. 2013-02-14 13:29:51 +04:00
Vladislav Vinogradov a3a09cf4d1 refactored OpticalFlowDual_TVL1:
* added DenseOpticalFlow interface
* moved OpticalFlowDual_TVL1 to src folder
2013-02-14 13:26:47 +04:00
Andrey Kamaev 8547984d29 Merge pull request #486 from amroamroamro:2.4 2013-02-14 11:21:16 +04:00
Andrey Kamaev 37e2664cf0 Merge pull request #479 from ilya-lavrenov:TestHighGUI 2013-02-14 11:21:01 +04:00
Amro 42a2cb0a38 add description of ddepth param of cv::boxFilter
bug #2709
2013-02-13 15:16:17 +03:00
Vladislav Vinogradov 2181a41a07 added perf4au app 2013-02-13 15:58:24 +04:00
Vladislav Vinogradov aa73bf6079 added gpu optical flow sample 2013-02-13 15:58:12 +04:00
Vladislav Vinogradov 50f28c9e25 added Warp::reduce function 2013-02-13 15:57:55 +04:00
Vladislav Vinogradov 36e42084f0 added gpu BM optical flow implementation 2013-02-13 15:57:40 +04:00
Vladislav Vinogradov fe2e89df1b added gpu::HoughLinesP function 2013-02-13 15:56:58 +04:00
Vladislav Vinogradov 86bd325131 added gpu::normalize function 2013-02-13 15:55:58 +04:00
Vladislav Vinogradov 61b54149b1 added mask support to gpu norm and sum 2013-02-13 15:54:50 +04:00
Vladislav Vinogradov 08914aa708 added gpu compare with scalar 2013-02-13 15:53:03 +04:00
Vladislav Vinogradov a828b60765 added enqueueHostCallback method to gpu::Stream 2013-02-13 15:51:27 +04:00
Vladislav Vinogradov ce2fd7fec9 added dual tvl1 optical flow gpu implementation 2013-02-13 15:50:05 +04:00
Andrey Kamaev 54a0e5085c Merge pull request #483 from taka-no-me:cmake_tweaks 2013-02-13 15:50:02 +04:00
Vladislav Vinogradov 1498d2f427 added dual tvl1 optical flow implementation 2013-02-13 15:42:58 +04:00
Andrey Kamaev c7df17e77b Detect and report parallel framework used 2013-02-13 15:09:30 +04:00
Andrey Kamaev 0b20faf3d2 Use git describe to get source control version 2013-02-13 14:50:32 +04:00
Andrey Kamaev 9e4792af1f Add separate status section for java 2013-02-13 14:36:56 +04:00
Andrey Kamaev 82313b3f6c Add OpenCL section to status report 2013-02-13 14:27:12 +04:00
Andrey Kamaev 247df9f3fc Detect version of clang compiler 2013-02-13 14:11:56 +04:00
Andrey Kamaev ca5e6f9522 Merge pull request #480 from taka-no-me:ffmpeg_warnings 2013-02-12 20:29:03 +04:00
Andrey Kamaev ac389507a0 Fix warnings from ffmpeg wrapper 2013-02-12 19:58:59 +04:00
Andrey Kamaev 8b7a28a7e4 Merge pull request #477 from asmorkalov:android_version_info 2013-02-12 17:06:27 +04:00
Andrey Kamaev 0cf9c16adc Merge pull request #478 from jet47:gpu-reduction-fix 2013-02-12 17:06:07 +04:00
Andrey Kamaev 7c77b402db Merge pull request #468 from kirill-kornyakov:test-for-saturate-cast 2013-02-12 17:04:54 +04:00
Ilya Lavrenov 5512f91d08 removed libstdc++ dependency 2013-02-12 14:20:23 +04:00
Alexander Smorkalov 1751a963f2 Build info output for all android apps added.
OpenCV build information output to logcat added to OpenCV initialization code;
Documenation for cv::getBuildInformation() added.
2013-02-12 11:19:05 +04:00
Vladislav Vinogradov fdb07a0ac1 fix performance issue of gpu reduction 2013-02-12 09:50:41 +04:00
Alexander Smorkalov 9f01074f4c Bug in hardware ratings fixed. 2013-02-11 15:03:52 +04:00
Alexander Smorkalov 8c44e1ff81 Native testing for OpenCV Manager enabled
All tests added to CMake;
All tests ported on 4 digit version support;
Some test fixes and bug fixes were done.
2013-02-11 15:03:52 +04:00
Kirill Kornyakov 81b9f9b16b Added a test that documents that negative numbers are not clipped by cv::saturate_cast 2013-02-11 14:58:38 +04:00
yao 0b365f6aa5 add +-*/ operators to oclMat 2013-02-08 11:41:46 +08:00
LeonidBeynenson 203849d5e4 The next attempt to fix a build error on Mac. 2013-02-06 18:07:02 +04:00
LeonidBeynenson 50cd5d9ce7 Try to fix Mac compilation issue. 2013-02-06 15:31:51 +04:00
LeonidBeynenson b85a098d9c Added float, uint64, and uchar params to Algorithm
Made changes to work in cv::Algorithm with parameters of these types.
Also fixed SimpleBlobDetector -- now it can be created by
cv::Algorithm::create and it can work with cv::Algorithm::set/get.
2013-02-04 20:25:18 +04:00
Eric Christiansen c2c2403a79 Added a desktop Java tutorial 2013-01-21 14:57:25 -08:00
Eric Christiansen 6169b1dc90 Adds samples for Java and Scala 2013-01-15 12:03:55 -08:00
277 arquivos alterados com 35010 adições e 11444 exclusões
+35 -27
Ver Arquivo
@@ -1,27 +1,36 @@
.git* export-ignore
* text=auto
* whitespace=!indent,trail,space
* text=auto whitespace=trailing-space,space-before-tab,-indent-with-non-tab,tab-in-indent,tabwidth=4
*.py text whitespace=tab-in-indent,trail,space,fix
*.cpp text whitespace=tab-in-indent,trail,space,fix
*.hpp text whitespace=tab-in-indent,trail,space,fix
*.cxx text whitespace=tab-in-indent,trail,space,fix
*.hxx text whitespace=tab-in-indent,trail,space,fix
*.mm text whitespace=tab-in-indent,trail,space,fix
*.c text whitespace=tab-in-indent,trail,space,fix
*.h text whitespace=tab-in-indent,trail,space,fix
*.i text whitespace=tab-in-indent,trail,space,fix
*.java text whitespace=tab-in-indent,trail,space,fix
*.cu text whitespace=tab-in-indent,trail,space,fix
*.cl text whitespace=tab-in-indent,trail,space,fix
*.py text
*.cpp text
*.hpp text
*.cxx text
*.hxx text
*.mm text
*.c text
*.h text
*.i text
*.js text
*.java text
*.scala text
*.cu text
*.cl text
*.css_t text
*.qrc text
*.qss text
*.S text
*.rst text
*.tex text
*.sty text
*.cmake text whitespace=tab-in-indent,trail,space,fix
*.cmakein text whitespace=tab-in-indent,trail,space,fix
*.in text whitespace=tab-in-indent,trail,space,fix
CMakeLists.txt text whitespace=tab-in-indent,trail,space,fix
*.aidl text
*.mk text
*.rst text whitespace=tab-in-indent,trail,space,fix
*.cmake text whitespace=tabwidth=2
*.cmakein text whitespace=tabwidth=2
*.in text whitespace=tabwidth=2
CMakeLists.txt text whitespace=tabwidth=2
*.png binary
*.jepg binary
@@ -32,22 +41,21 @@ CMakeLists.txt text whitespace=tab-in-indent,trail,space,fix
*.a binary
*.so binary
*.dll binary
*.jar binary
*.pdf binary
*.pbxproj binary
*.vec binary
*.doc binary
*.css_t text
*.qrc text
*.qss text
*.S text
*.xml -text
*.yml -text
*.xml -text whitespace=cr-at-eol
*.yml -text whitespace=cr-at-eol
.project -text whitespace=cr-at-eol merge=union
.classpath -text whitespace=cr-at-eol merge=union
.cproject -text whitespace=cr-at-eol merge=union
org.eclipse.jdt.core.prefs -text whitespace=cr-at-eol merge=union
*.vcproj text eol=crlf merge=union
*.cproject text eol=crlf merge=union
*.bat text eol=crlf
*.cmd text eol=crlf
*.cmd.tmpl text eol=crlf
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+71 -53
Ver Arquivo
@@ -110,7 +110,7 @@ endif()
# Optional 3rd party components
# ===================================================
OCV_OPTION(WITH_1394 "Include IEEE1394 support" ON IF (UNIX AND NOT ANDROID AND NOT IOS AND NOT CARMA) )
OCV_OPTION(WITH_1394 "Include IEEE1394 support" ON IF (UNIX AND NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_AVFOUNDATION "Use AVFoundation for Video I/O" ON IF IOS)
OCV_OPTION(WITH_CARBON "Use Carbon for UI instead of Cocoa" OFF IF APPLE )
OCV_OPTION(WITH_CUDA "Include NVidia Cuda Runtime support" ON IF (CMAKE_VERSION VERSION_GREATER "2.8" AND NOT ANDROID AND NOT IOS) )
@@ -141,9 +141,9 @@ OCV_OPTION(WITH_V4L "Include Video 4 Linux support" ON
OCV_OPTION(WITH_VIDEOINPUT "Build HighGUI with DirectShow support" ON IF WIN32 )
OCV_OPTION(WITH_XIMEA "Include XIMEA cameras support" OFF IF (NOT ANDROID AND NOT APPLE) )
OCV_OPTION(WITH_XINE "Include Xine support (GPL)" OFF IF (UNIX AND NOT APPLE AND NOT ANDROID) )
OCV_OPTION(WITH_OPENCL "Include OpenCL Runtime support" OFF IF (NOT ANDROID AND NOT IOS AND NOT CARMA) )
OCV_OPTION(WITH_OPENCLAMDFFT "Include AMD OpenCL FFT library support" OFF IF (NOT ANDROID AND NOT IOS AND NOT CARMA) )
OCV_OPTION(WITH_OPENCLAMDBLAS "Include AMD OpenCL BLAS library support" OFF IF (NOT ANDROID AND NOT IOS AND NOT CARMA) )
OCV_OPTION(WITH_OPENCL "Include OpenCL Runtime support" OFF IF (NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_OPENCLAMDFFT "Include AMD OpenCL FFT library support" OFF IF (NOT ANDROID AND NOT IOS) )
OCV_OPTION(WITH_OPENCLAMDBLAS "Include AMD OpenCL BLAS library support" OFF IF (NOT ANDROID AND NOT IOS) )
# OpenCV build components
@@ -163,12 +163,12 @@ OCV_OPTION(BUILD_ANDROID_SERVICE "Build OpenCV Manager for Google Play" OFF I
OCV_OPTION(BUILD_ANDROID_PACKAGE "Build platform-specific package for Google Play" OFF IF ANDROID )
# 3rd party libs
OCV_OPTION(BUILD_ZLIB "Build zlib from source" WIN32 OR APPLE OR CARMA )
OCV_OPTION(BUILD_TIFF "Build libtiff from source" WIN32 OR ANDROID OR APPLE OR CARMA )
OCV_OPTION(BUILD_JASPER "Build libjasper from source" WIN32 OR ANDROID OR APPLE OR CARMA )
OCV_OPTION(BUILD_JPEG "Build libjpeg from source" WIN32 OR ANDROID OR APPLE OR CARMA )
OCV_OPTION(BUILD_PNG "Build libpng from source" WIN32 OR ANDROID OR APPLE OR CARMA )
OCV_OPTION(BUILD_OPENEXR "Build openexr from source" WIN32 OR ANDROID OR APPLE OR CARMA )
OCV_OPTION(BUILD_ZLIB "Build zlib from source" WIN32 OR APPLE )
OCV_OPTION(BUILD_TIFF "Build libtiff from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_JASPER "Build libjasper from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_JPEG "Build libjpeg from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_PNG "Build libpng from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_OPENEXR "Build openexr from source" WIN32 OR ANDROID OR APPLE )
OCV_OPTION(BUILD_TBB "Download and build TBB from source" ANDROID IF CMAKE_COMPILER_IS_GNUCXX )
# OpenCV installation options
@@ -184,7 +184,7 @@ OCV_OPTION(INSTALL_TO_MANGLED_PATHS "Enables mangled install paths, that help wi
OCV_OPTION(ENABLE_PRECOMPILED_HEADERS "Use precompiled headers" ON IF (NOT IOS) )
OCV_OPTION(ENABLE_SOLUTION_FOLDERS "Solution folder in Visual Studio or in other IDEs" (MSVC_IDE OR CMAKE_GENERATOR MATCHES Xcode) IF (CMAKE_VERSION VERSION_GREATER "2.8.0") )
OCV_OPTION(ENABLE_PROFILING "Enable profiling in the GCC compiler (Add flags: -g -pg)" OFF IF CMAKE_COMPILER_IS_GNUCXX )
OCV_OPTION(ENABLE_OMIT_FRAME_POINTER "Enable -fomit-frame-pointer for GCC" ON IF CMAKE_COMPILER_IS_GNUCXX )
OCV_OPTION(ENABLE_OMIT_FRAME_POINTER "Enable -fomit-frame-pointer for GCC" ON IF CMAKE_COMPILER_IS_GNUCXX AND NOT (APPLE AND CMAKE_COMPILER_IS_CLANGCXX) )
OCV_OPTION(ENABLE_POWERPC "Enable PowerPC for GCC" ON IF (CMAKE_COMPILER_IS_GNUCXX AND CMAKE_SYSTEM_PROCESSOR MATCHES powerpc.*) )
OCV_OPTION(ENABLE_FAST_MATH "Enable -ffast-math (not recommended for GCC 4.6.x)" OFF IF (CMAKE_COMPILER_IS_GNUCXX AND (X86 OR X86_64)) )
OCV_OPTION(ENABLE_SSE "Enable SSE instructions" ON IF ((MSVC OR CMAKE_COMPILER_IS_GNUCXX) AND (X86 OR X86_64)) )
@@ -301,21 +301,19 @@ find_host_program(GIT_EXECUTABLE NAMES ${git_names} PATH_SUFFIXES Git/cmd Git/bi
mark_as_advanced(GIT_EXECUTABLE)
if(GIT_EXECUTABLE)
execute_process(COMMAND ${GIT_EXECUTABLE} rev-parse --short HEAD
execute_process(COMMAND ${GIT_EXECUTABLE} describe --tags --always --dirty --match "2.[0-9].[0-9]*"
WORKING_DIRECTORY "${OpenCV_SOURCE_DIR}"
OUTPUT_VARIABLE OPENCV_GIT_HASH_SORT
OUTPUT_VARIABLE OPENCV_VCSVERSION
RESULT_VARIABLE GIT_RESULT
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE
)
if(GIT_RESULT EQUAL 0)
set(OPENCV_VCSVERSION "commit:${OPENCV_GIT_HASH_SORT}")
else()
set(OPENCV_VCSVERSION "exported")
if(NOT GIT_RESULT EQUAL 0)
set(OPENCV_VCSVERSION "unknown")
endif()
else()
# We don't have git:
set(OPENCV_VCSVERSION "")
set(OPENCV_VCSVERSION "unknown")
endif()
@@ -523,10 +521,21 @@ if(NOT CMAKE_GENERATOR MATCHES "Xcode|Visual Studio")
endif()
# ========================== C/C++ options ==========================
if(CMAKE_CXX_COMPILER_VERSION)
set(OPENCV_COMPILER_STR "${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ARG1} (ver ${CMAKE_CXX_COMPILER_VERSION})")
elseif(CMAKE_COMPILER_IS_CLANGCXX)
set(OPENCV_COMPILER_STR "${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ARG1} (ver ${CMAKE_CLANG_REGEX_VERSION})")
elseif(CMAKE_COMPILER_IS_GNUCXX)
set(OPENCV_COMPILER_STR "${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ARG1} (ver ${CMAKE_GCC_REGEX_VERSION})")
else()
set(OPENCV_COMPILER_STR "${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ARG1}")
endif()
string(STRIP "${OPENCV_COMPILER_STR}" OPENCV_COMPILER_STR)
status("")
status(" C/C++:")
status(" Built as dynamic libs?:" BUILD_SHARED_LIBS THEN YES ELSE NO)
status(" C++ Compiler:" CMAKE_COMPILER_IS_GNUCXX THEN "${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ARG1} (ver ${CMAKE_GCC_REGEX_VERSION})" ELSE "${CMAKE_CXX_COMPILER}" )
status(" C++ Compiler:" ${OPENCV_COMPILER_STR})
status(" C++ flags (Release):" ${CMAKE_CXX_FLAGS} ${CMAKE_CXX_FLAGS_RELEASE})
status(" C++ flags (Debug):" ${CMAKE_CXX_FLAGS} ${CMAKE_CXX_FLAGS_DEBUG})
status(" C Compiler:" ${CMAKE_C_COMPILER} ${CMAKE_C_COMPILER_ARG1})
@@ -575,15 +584,16 @@ if(ANDROID)
status(" Android ABI:" ${ANDROID_ABI})
status(" STL type:" ${ANDROID_STL})
status(" Native API level:" android-${ANDROID_NATIVE_API_LEVEL})
status(" SDK target:" "${ANDROID_SDK_TARGET}")
android_get_compatible_target(android_sdk_target_status ${ANDROID_NATIVE_API_LEVEL} ${ANDROID_SDK_TARGET} 11)
status(" SDK target:" "${android_sdk_target_status}")
if(BUILD_WITH_ANDROID_NDK)
status(" Android NDK:" "${ANDROID_NDK} (toolchain: ${ANDROID_TOOLCHAIN_NAME})")
elseif(BUILD_WITH_STANDALONE_TOOLCHAIN)
status(" Android toolchain:" "${ANDROID_STANDALONE_TOOLCHAIN}")
endif()
status(" android tool:" ANDROID_EXECUTABLE THEN "${ANDROID_EXECUTABLE} (${ANDROID_TOOLS_Pkg_Desc})" ELSE NO)
status(" ant:" ANT_EXECUTABLE THEN "${ANT_EXECUTABLE} (ver ${ANT_VERSION})" ELSE NO)
status(" Google Play package:" BUILD_ANDROID_PACKAGE THEN YES ELSE NO)
status(" Google Play package:" BUILD_ANDROID_PACKAGE THEN YES ELSE NO)
status(" Android examples:" BUILD_ANDROID_EXAMPLES AND CAN_BUILD_ANDROID_PROJECTS THEN YES ELSE NO)
endif()
# ========================== GUI ==========================
@@ -707,7 +717,7 @@ if(DEFINED WITH_PVAPI)
endif(DEFINED WITH_PVAPI)
if(DEFINED WITH_GIGEAPI)
status(" GigEVisionSDK:" HAVE_GIGE_API THEN YES ELSE NO)
status(" GigEVisionSDK:" HAVE_GIGE_API THEN YES ELSE NO)
endif(DEFINED WITH_GIGEAPI)
if(DEFINED WITH_QUICKTIME)
@@ -753,30 +763,21 @@ endif(DEFINED WITH_XINE)
status("")
status(" Other third-party libraries:")
if(DEFINED WITH_IPP)
if(WITH_IPP AND IPP_FOUND)
status(" Use IPP:" "${IPP_LATEST_VERSION_STR} [${IPP_LATEST_VERSION_MAJOR}.${IPP_LATEST_VERSION_MINOR}.${IPP_LATEST_VERSION_BUILD}]")
status(" at:" "${IPP_ROOT_DIR}")
else()
status(" Use IPP:" WITH_IPP AND NOT IPP_FOUND THEN "IPP not found" ELSE NO)
endif()
endif(DEFINED WITH_IPP)
if(WITH_IPP AND IPP_FOUND)
status(" Use IPP:" "${IPP_LATEST_VERSION_STR} [${IPP_LATEST_VERSION_MAJOR}.${IPP_LATEST_VERSION_MINOR}.${IPP_LATEST_VERSION_BUILD}]")
status(" at:" "${IPP_ROOT_DIR}")
else()
status(" Use IPP:" WITH_IPP AND NOT IPP_FOUND THEN "IPP not found" ELSE NO)
endif()
if(DEFINED WITH_TBB)
status(" Use TBB:" HAVE_TBB THEN "YES (ver ${TBB_VERSION_MAJOR}.${TBB_VERSION_MINOR} interface ${TBB_INTERFACE_VERSION})" ELSE NO)
endif(DEFINED WITH_TBB)
if(DEFINED WITH_CSTRIPES)
status(" Use C=:" HAVE_CSTRIPES THEN YES ELSE NO)
endif(DEFINED WITH_CSTRIPES)
if(DEFINED WITH_CUDA)
status(" Use Cuda:" HAVE_CUDA THEN "YES (ver ${CUDA_VERSION_STRING})" ELSE NO)
endif(DEFINED WITH_CUDA)
status(" Use OpenCL:" HAVE_OPENCL THEN YES ELSE NO)
status(" Use Eigen:" HAVE_EIGEN THEN "YES (ver ${EIGEN_WORLD_VERSION}.${EIGEN_MAJOR_VERSION}.${EIGEN_MINOR_VERSION})" ELSE NO)
status(" Use Eigen:" HAVE_EIGEN THEN "YES (ver ${EIGEN_WORLD_VERSION}.${EIGEN_MAJOR_VERSION}.${EIGEN_MINOR_VERSION})" ELSE NO)
status(" Use TBB:" HAVE_TBB THEN "YES (ver ${TBB_VERSION_MAJOR}.${TBB_VERSION_MINOR} interface ${TBB_INTERFACE_VERSION})" ELSE NO)
status(" Use OpenMP:" HAVE_OPENMP THEN YES ELSE NO)
status(" Use GCD" HAVE_GCD THEN YES ELSE NO)
status(" Use Concurrency" HAVE_CONCURRENCY THEN YES ELSE NO)
status(" Use C=:" HAVE_CSTRIPES THEN YES ELSE NO)
status(" Use Cuda:" HAVE_CUDA THEN "YES (ver ${CUDA_VERSION_STRING})" ELSE NO)
status(" Use OpenCL:" HAVE_OPENCL THEN YES ELSE NO)
if(HAVE_CUDA)
status("")
@@ -790,10 +791,23 @@ if(HAVE_CUDA)
status(" Use fast math:" CUDA_FAST_MATH THEN YES ELSE NO)
endif()
if(HAVE_OPENCL AND BUILD_opencv_ocl)
status("")
status(" OpenCL")
if(OPENCL_INCLUDE_DIR)
status(" Include:" ${OPENCL_INCLUDE_DIR})
endif()
if(OPENCL_LIBRARIES)
status(" libraries:" ${OPENCL_LIBRARIES})
endif()
status(" Use AMDFFT:" HAVE_CLAMDFFT THEN YES ELSE NO)
status(" Use AMDBLAS:" HAVE_CLAMDBLAS THEN YES ELSE NO)
endif()
# ========================== python ==========================
status("")
status(" Python:")
status(" Interpreter:" PYTHON_EXECUTABLE THEN "${PYTHON_EXECUTABLE} (ver ${PYTHON_VERSION_FULL})" ELSE NO)
status(" Interpreter:" PYTHON_EXECUTABLE THEN "${PYTHON_EXECUTABLE} (ver ${PYTHON_VERSION_FULL})" ELSE NO)
if(BUILD_opencv_python)
if(PYTHONLIBS_VERSION_STRING)
status(" Libraries:" HAVE_opencv_python THEN "${PYTHON_LIBRARIES} (ver ${PYTHONLIBS_VERSION_STRING})" ELSE NO)
@@ -804,6 +818,15 @@ if(BUILD_opencv_python)
status(" packages path:" PYTHON_EXECUTABLE THEN "${PYTHON_PACKAGES_PATH}" ELSE "-")
endif()
# ========================== java ==========================
status("")
status(" Java:")
status(" ant:" ANT_EXECUTABLE THEN "${ANT_EXECUTABLE} (ver ${ANT_VERSION})" ELSE NO)
if(NOT ANDROID)
status(" JNI:" JNI_INCLUDE_DIRS THEN "${JNI_INCLUDE_DIRS}" ELSE NO)
endif()
status(" Java tests:" BUILD_TESTS AND (NOT ANDROID OR CAN_BUILD_ANDROID_PROJECTS) THEN YES ELSE NO)
# ========================== documentation ==========================
if(BUILD_DOCS)
status("")
@@ -822,12 +845,7 @@ status("")
status(" Tests and samples:")
status(" Tests:" BUILD_TESTS AND HAVE_opencv_ts THEN YES ELSE NO)
status(" Performance tests:" BUILD_PERF_TESTS AND HAVE_opencv_ts THEN YES ELSE NO)
status(" Examples:" BUILD_EXAMPLES THEN YES ELSE NO)
if(ANDROID)
status(" Android tests:" BUILD_TESTS AND CAN_BUILD_ANDROID_PROJECTS THEN YES ELSE NO)
status(" Android examples:" BUILD_ANDROID_EXAMPLES AND CAN_BUILD_ANDROID_PROJECTS THEN YES ELSE NO)
endif()
status(" C/C++ Examples:" BUILD_EXAMPLES THEN YES ELSE NO)
# ========================== auxiliary ==========================
status("")
+1 -1
Ver Arquivo
@@ -7,7 +7,7 @@ const char* GetLibraryList(void);
JNIEXPORT jstring JNICALL Java_org_opencv_android_StaticHelper_getLibraryList(JNIEnv *, jclass);
#define PACKAGE_NAME "org.opencv.lib_v" CVAUX_STR(CV_VERSION_EPOCH) CVAUX_STR(CV_VERSION_MAJOR) "_" ANDROID_PACKAGE_PLATFORM
#define PACKAGE_REVISION CVAUX_STR(CV_VERSION_MINOR) "." CVAUX_STR(ANDROID_PACKAGE_RELEASE)
#define PACKAGE_REVISION CVAUX_STR(CV_VERSION_MINOR) "." CVAUX_STR(CV_VERSION_REVISION) "." CVAUX_STR(ANDROID_PACKAGE_RELEASE)
const char* GetPackageName(void)
{
+2 -2
Ver Arquivo
@@ -1,8 +1,8 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.opencv.lib_v@OPENCV_VERSION_MAJOR@@OPENCV_VERSION_MINOR@_@ANDROID_PACKAGE_PLATFORM@"
android:versionCode="@OPENCV_VERSION_PATCH@@ANDROID_PACKAGE_RELEASE@"
android:versionName="@OPENCV_VERSION_PATCH@.@ANDROID_PACKAGE_RELEASE@" >
android:versionCode="@OPENCV_VERSION_PATCH@@OPENCV_VERSION_TWEAK@@ANDROID_PACKAGE_RELEASE@"
android:versionName="@OPENCV_VERSION_PATCH@.@OPENCV_VERSION_TWEAK@.@ANDROID_PACKAGE_RELEASE@" >
<uses-sdk android:minSdkVersion="@ANDROID_SDK_VERSION@" />
<uses-feature android:name="android.hardware.touchscreen" android:required="false"/>
+199 -101
Ver Arquivo
@@ -1,130 +1,228 @@
#!/usr/bin/python
from optparse import OptionParser
from shutil import rmtree
import os
import sys
ANDROID_SDK_PATH = "/opt/android-sdk-linux"
ANDROID_NDK_PATH = None
INSTALL_DIRECTORY = None
CLASS_PATH = None
TMP_HEADER_PATH="tmp_include"
HEADER_EXTS = set(['h', 'hpp'])
SYS_INCLUDES = ["platforms/android-8/arch-arm/usr/include", "sources/cxx-stl/gnu-libstdc++/include", "sources/cxx-stl/gnu-libstdc++/libs/armeabi/include"]
PROJECT_NAME = "OpenCV-branch"
TARGET_LIBS = ["libopencv_java.so"]
ARCH = "armeabi"
GCC_OPTIONS = "-fpermissive"
EXCLUDE_HEADERS = set(["hdf5.h", "eigen.hpp", "cxeigen.hpp"]);
architecture = 'armeabi'
excludedHeaders = set(['hdf5.h', 'cap_ios.h',
'eigen.hpp', 'cxeigen.hpp' #TOREMOVE
])
systemIncludes = ['sources/cxx-stl/gnu-libstdc++/4.6/include', \
'/opt/android-ndk-r8c/platforms/android-8/arch-arm', # TODO: check if this one could be passed as command line arg
'sources/cxx-stl/gnu-libstdc++/4.6/libs/armeabi-v7a/include']
targetLibs = ['libopencv_java.so']
preamble = ['Eigen/Core']
# TODO: get gcc_options automatically
gcc_options = ['-fexceptions', '-frtti', '-Wno-psabi', '--sysroot=/opt/android-ndk-r8c/platforms/android-8/arch-arm', '-fpic', '-D__ARM_ARCH_5__', '-D__ARM_ARCH_5T__', '-D__ARM_ARCH_5E__', '-D__ARM_ARCH_5TE__', '-fsigned-char', '-march=armv5te', '-mtune=xscale', '-msoft-float', '-fdata-sections', '-ffunction-sections', '-Wa,--noexecstack ', '-W', '-Wall', '-Werror=return-type', '-Werror=address', '-Werror=sequence-point', '-Wformat', '-Werror=format-security', '-Wmissing-declarations', '-Wundef', '-Winit-self', '-Wpointer-arith', '-Wshadow', '-Wsign-promo', '-Wno-narrowing', '-fdiagnostics-show-option', '-fomit-frame-pointer', '-mthumb', '-fomit-frame-pointer', '-O3', '-DNDEBUG ', '-DNDEBUG']
excludedOptionsPrefix = '-W'
def FindClasses(root, prefix):
classes = []
if ("" != prefix):
prefix = prefix + "."
for path in os.listdir(root):
currentPath = os.path.join(root, path)
if (os.path.isdir(currentPath)):
classes += FindClasses(currentPath, prefix + path)
else:
name = str.split(path, ".")[0]
ext = str.split(path, ".")[1]
if (ext == "class"):
#print("class: %s" % (prefix + name))
classes.append(prefix+name)
return classes
def FindHeaders(root):
def GetHeaderFiles(root):
headers = []
for path in os.listdir(root):
currentPath = os.path.join(root, path)
if (os.path.isdir(currentPath)):
headers += FindHeaders(currentPath)
else:
ext = str.split(path, ".")[-1]
#print("%s: \"%s\"" % (currentPath, ext))
if (ext in HEADER_EXTS):
#print("Added as header file")
if (path not in EXCLUDE_HEADERS):
headers.append(currentPath)
if not os.path.isdir(os.path.join(root, path)) \
and os.path.splitext(path)[1] in ['.h', '.hpp'] \
and not path in excludedHeaders:
headers.append(os.path.join(root, path))
return sorted(headers)
def GetClasses(root, prefix):
classes = []
if ('' != prefix):
prefix = prefix + '.'
for path in os.listdir(root):
currentPath = os.path.join(root, path)
if (os.path.isdir(currentPath)):
classes += GetClasses(currentPath, prefix + path)
else:
name = str.split(path, '.')[0]
ext = str.split(path, '.')[1]
if (ext == 'class'):
classes.append(prefix + name)
return classes
def GetJavaHHeaders():
print('\nGenerating JNI headers for Java API ...')
javahHeaders = os.path.join(managerDir, 'javah_generated_headers')
if os.path.exists(javahHeaders):
rmtree(javahHeaders)
os.makedirs(os.path.join(os.getcwd(), javahHeaders))
AndroidJavaDeps = os.path.join(SDK_path, 'platforms/android-11/android.jar')
classPath = os.path.join(managerDir, 'sdk/java/bin/classes')
if not os.path.exists(classPath):
print('Error: no Java classes found in \'%s\'' % classPath)
quit()
allJavaClasses = GetClasses(classPath, '')
if not allJavaClasses:
print('Error: no Java classes found')
quit()
for currentClass in allJavaClasses:
os.system('javah -d %s -classpath %s:%s %s' % (javahHeaders, classPath, \
AndroidJavaDeps, currentClass))
print('\nBuilding JNI headers list ...')
jniHeaders = GetHeaderFiles(javahHeaders)
return jniHeaders
def GetImmediateSubdirs(dir):
return [name for name in os.listdir(dir)
if os.path.isdir(os.path.join(dir, name))]
def GetOpenCVModules():
makefile = open(os.path.join(managerDir, 'sdk/native/jni/OpenCV.mk'), 'r')
makefileStr = makefile.read()
left = makefileStr.find('OPENCV_MODULES:=') + len('OPENCV_MODULES:=')
right = makefileStr[left:].find('\n')
modules = makefileStr[left:left+right].split()
modules = filter(lambda x: x != 'ts' and x != 'androidcamera', modules)
return modules
def FindHeaders():
headers = []
print('\nBuilding Native OpenCV header list ...')
cppHeadersFolder = os.path.join(managerDir, 'sdk/native/jni/include/opencv2')
modulesFolders = GetImmediateSubdirs(cppHeadersFolder)
modules = GetOpenCVModules()
cppHeaders = []
for m in modules:
for f in modulesFolders:
moduleHeaders = []
if f == m:
moduleHeaders += GetHeaderFiles(os.path.join(cppHeadersFolder, f))
if m == 'flann':
flann = os.path.join(cppHeadersFolder, f, 'flann.hpp')
moduleHeaders.remove(flann)
moduleHeaders.insert(0, flann)
cppHeaders += moduleHeaders
cppHeaders += GetHeaderFiles(cppHeadersFolder)
headers += cppHeaders
cHeaders = GetHeaderFiles(os.path.join(managerDir, \
'sdk/native/jni/include/opencv'))
headers += cHeaders
headers += GetJavaHHeaders()
return headers
if (len(sys.argv) < 3):
print("Error: Invalid command line arguments")
exit(-1)
INSTALL_DIRECTORY = sys.argv[1]
PROJECT_NAME = sys.argv[2]
CLASS_PATH = os.path.join(INSTALL_DIRECTORY, "sdk/java/bin/classes")
if (not os.path.exists(CLASS_PATH)):
print("Error: no java classes found in \"%s\"" % CLASS_PATH)
exit(-2)
def FindLibraries():
libraries = []
for lib in targetLibs:
libraries.append(os.path.join(managerDir, 'sdk/native/libs', architecture, lib))
return libraries
if (os.environ.has_key("NDK_ROOT")):
ANDROID_NDK_PATH = os.environ["NDK_ROOT"];
print("Using Android NDK from NDK_ROOT (\"%s\")" % ANDROID_NDK_PATH)
if (not ANDROID_NDK_PATH):
pipe = os.popen("which ndk-build")
tmp = str.strip(pipe.readline(), "\n")
while(not tmp):
tmp = str.strip(pipe.readline(), "\n")
pipe.close()
ANDROID_NDK_PATH = os.path.split(tmp)[0]
print("Using Android NDK from PATH (\"%s\")" % ANDROID_NDK_PATH)
print("Using Android SDK from \"%s\"" % ANDROID_SDK_PATH)
def FindIncludes():
includes = [os.path.join(managerDir, 'sdk', 'native', 'jni', 'include'),
os.path.join(managerDir, 'sdk', 'native', 'jni', 'include', 'opencv'),
os.path.join(managerDir, 'sdk', 'native', 'jni', 'include', 'opencv2')]
outputFileName = PROJECT_NAME + ".xml"
try:
outputFile = open(outputFileName, "w")
except:
print("Error: Cannot open output file \"%s\" for writing" % outputFileName)
for inc in systemIncludes:
includes.append(os.path.join(NDK_path, inc))
allJavaClasses = FindClasses(CLASS_PATH, "")
if (not allJavaClasses):
print("Error: No Java classes found :(")
exit(-1)
return includes
if (not os.path.exists(TMP_HEADER_PATH)):
os.makedirs(os.path.join(os.getcwd(), TMP_HEADER_PATH))
print("Generating JNI headers for Java API ...")
AndroidJavaDeps = os.path.join(ANDROID_SDK_PATH, "platforms/android-11/android.jar")
for currentClass in allJavaClasses:
os.system("javah -d %s -classpath %s:%s %s" % (TMP_HEADER_PATH, CLASS_PATH, AndroidJavaDeps, currentClass))
print("Building JNI headers list ...")
jniHeaders = FindHeaders(TMP_HEADER_PATH)
#print(jniHeaders)
def FilterGCCOptions():
gcc = filter(lambda x: not x.startswith(excludedOptionsPrefix), gcc_options)
return sorted(gcc)
print("Building Native OpenCV header list ...")
cHeaders = FindHeaders(os.path.join(INSTALL_DIRECTORY, "sdk/native/jni/include/opencv"))
cppHeaders = FindHeaders(os.path.join(INSTALL_DIRECTORY, "sdk/native/jni/include/opencv2"))
#print(cHeaders)
#print(cppHeaders)
print("Writing config file ...")
outputFile.write("<descriptor>\n\n<version>\n\t%s\n</version>\n\n<headers>\n" % PROJECT_NAME)
outputFile.write("\t" + "\n\t".join(cHeaders))
outputFile.write("\n\t" + "\n\t".join(cppHeaders))
outputFile.write("\n\t" + "\n\t".join(jniHeaders))
outputFile.write("\n</headers>\n\n")
includes = [os.path.join(INSTALL_DIRECTORY, "sdk", "native", "jni", "include"),
os.path.join(INSTALL_DIRECTORY, "sdk", "native", "jni", "include", "opencv"),
os.path.join(INSTALL_DIRECTORY, "sdk", "native", "jni", "include", "opencv2")]
def WriteXml(version, headers, includes, libraries):
xmlName = version + '.xml'
for inc in SYS_INCLUDES:
includes.append(os.path.join(ANDROID_NDK_PATH, inc))
print '\noutput file: ' + xmlName
try:
xml = open(xmlName, 'w')
except:
print 'Error: Cannot open output file "%s" for writing' % xmlName
quit()
outputFile.write("<include_paths>\n\t%s\n</include_paths>\n\n" % "\n\t".join(includes))
xml.write('<descriptor>')
libraries = []
for lib in TARGET_LIBS:
libraries.append(os.path.join(INSTALL_DIRECTORY, "sdk/native/libs", ARCH, lib))
xml.write('\n\n<version>')
xml.write('\n\t%s' % version)
xml.write('\n</version>')
outputFile.write("<libs>\n\t%s\n</libs>\n\n" % "\n\t".join(libraries))
outputFile.write("<gcc_options>\n\t%s\n</gcc_options>\n\n</descriptor>" % GCC_OPTIONS)
xml.write('\n\n<headers>')
xml.write('\n\t%s' % '\n\t'.join(headers))
xml.write('\n</headers>')
print("done!")
xml.write('\n\n<include_paths>')
xml.write('\n\t%s' % '\n\t'.join(includes))
xml.write('\n</include_paths>')
# TODO: uncomment when Eigen problem is solved
# xml.write('\n\n<include_preamble>')
# xml.write('\n\t%s' % '\n\t'.join(preamble))
# xml.write('\n</include_preamble>')
xml.write('\n\n<libs>')
xml.write('\n\t%s' % '\n\t'.join(libraries))
xml.write('\n</libs>')
xml.write('\n\n<gcc_options>')
xml.write('\n\t%s' % '\n\t'.join(gcc_options))
xml.write('\n</gcc_options>')
xml.write('\n\n</descriptor>')
if __name__ == '__main__':
usage = '%prog <OpenCV_Manager install directory> <OpenCV_Manager version>'
parser = OptionParser(usage = usage)
args = parser.parse_args()
if 2 != len(args):
parser.print_help()
quit()
managerDir = args[1][0]
version = args[1][1]
NDK_path = '/opt/android-ndk-r8c'
print '\nUsing Android NDK from "%s"' % NDK_path
SDK_path = '~/NVPACK/android-sdk-linux'
print '\nUsing Android SDK from "%s"' % SDK_path
headers = FindHeaders()
includes = FindIncludes()
libraries = FindLibraries()
gcc_options = FilterGCCOptions()
WriteXml(version, headers, includes, libraries)
-1
Ver Arquivo
@@ -5,4 +5,3 @@ mkdir -p build_service
cd build_service
cmake -DCMAKE_TOOLCHAIN_FILE=../android.toolchain.cmake -DANDROID_TOOLCHAIN_NAME="arm-linux-androideabi-4.4.3" -DANDROID_STL=stlport_static -DANDROID_STL_FORCE_FEATURES=OFF -DBUILD_ANDROID_SERVICE=ON -DANDROID_SOURCE_TREE=~/Projects/AndroidSource/ServiceStub/ $@ ../..
+1 -1
Ver Arquivo
@@ -48,7 +48,7 @@ See the "15-puzzle" OpenCV sample for details.
super.onResume();
Log.i(TAG, "Trying to load OpenCV library");
if (!OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mOpenCVCallBack))
if (!OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_4, this, mOpenCVCallBack))
{
Log.e(TAG, "Cannot connect to OpenCV Manager");
}
+4
Ver Arquivo
@@ -47,3 +47,7 @@ OpenCV version constants
.. data:: OPENCV_VERSION_2_4_3
OpenCV Library version 2.4.3
.. data:: OPENCV_VERSION_2_4_4
OpenCV Library version 2.4.4
+2 -2
Ver Arquivo
@@ -1,8 +1,8 @@
<?xml version="1.0" encoding="utf-8"?>
<manifest xmlns:android="http://schemas.android.com/apk/res/android"
package="org.opencv.engine"
android:versionCode="25@ANDROID_PLATFORM_VERSION_CODE@"
android:versionName="2.5" >
android:versionCode="26@ANDROID_PLATFORM_VERSION_CODE@"
android:versionName="2.6" >
<uses-sdk android:minSdkVersion="@ANDROID_NATIVE_API_LEVEL@" />
<uses-feature android:name="android.hardware.touchscreen" android:required="false"/>
+11
Ver Arquivo
@@ -62,3 +62,14 @@ set_target_properties(${engine}_jni PROPERTIES
get_target_property(engine_lib_location ${engine}_jni LOCATION)
add_custom_command(TARGET ${engine}_jni POST_BUILD COMMAND ${CMAKE_STRIP} --strip-unneeded "${engine_lib_location}")
# native tests
add_definitions(-DGTEST_HAS_CLONE=0 -DANDROID -DGTEST_HAS_TR1_TUPLE=0)
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,-allow-shlib-undefined")
include_directories(${CMAKE_CURRENT_SOURCE_DIR}/jni/Tests)
file(GLOB engine_test_files "jni/Tests/*.cpp")
add_executable(opencv_test_engine ${engine_test_files} jni/Tests/gtest/gtest-all.cpp)
target_link_libraries(opencv_test_engine z binder log utils android_runtime ${engine} ${engine}_jni)
@@ -15,7 +15,7 @@ using namespace android;
const int OpenCVEngine::Platform = DetectKnownPlatforms();
const int OpenCVEngine::CpuID = GetCpuID();
const int OpenCVEngine::KnownVersions[] = {2040000, 2040100, 2040200, 2040300, 2040301, 2040302};
const int OpenCVEngine::KnownVersions[] = {2040000, 2040100, 2040200, 2040300, 2040301, 2040302, 2040400};
bool OpenCVEngine::ValidateVersion(int version)
{
@@ -40,6 +40,7 @@ bool JavaBasedPackageManager::InstallPackage(const PackageInfo& package)
if (!jmethod)
{
LOGE("MarketConnector::GetAppFormMarket method was not found!");
jenv->DeleteLocalRef(jclazz);
return false;
}
@@ -74,7 +75,6 @@ vector<PackageInfo> JavaBasedPackageManager::GetInstalledPackages()
JavaContext->AttachCurrentThread(&jenv, NULL);
}
LOGD("GetObjectClass call");
jclass jclazz = jenv->GetObjectClass(JavaPackageManager);
if (!jclazz)
{
@@ -82,15 +82,14 @@ vector<PackageInfo> JavaBasedPackageManager::GetInstalledPackages()
return result;
}
LOGD("GetMethodID call");
jmethodID jmethod = jenv->GetMethodID(jclazz, "GetInstalledOpenCVPackages", "()[Landroid/content/pm/PackageInfo;");
if (!jmethod)
{
LOGE("MarketConnector::GetInstalledOpenCVPackages method was not found!");
jenv->DeleteLocalRef(jclazz);
return result;
}
LOGD("Java package manager call");
jobjectArray jpkgs = static_cast<jobjectArray>(jenv->CallNonvirtualObjectMethod(JavaPackageManager, jclazz, jmethod));
jsize size = jenv->GetArrayLength(jpkgs);
@@ -102,7 +101,6 @@ vector<PackageInfo> JavaBasedPackageManager::GetInstalledPackages()
{
jobject jtmp = jenv->GetObjectArrayElement(jpkgs, i);
PackageInfo tmp = ConvertPackageFromJava(jtmp, jenv);
jenv->DeleteLocalRef(jtmp);
if (tmp.IsValid())
result.push_back(tmp);
@@ -137,6 +135,7 @@ static jint GetAndroidVersion(JNIEnv* jenv)
PackageInfo JavaBasedPackageManager::ConvertPackageFromJava(jobject package, JNIEnv* jenv)
{
jclass jclazz = jenv->GetObjectClass(package);
jfieldID jfield = jenv->GetFieldID(jclazz, "packageName", "Ljava/lang/String;");
jstring jnameobj = static_cast<jstring>(jenv->GetObjectField(package, jfield));
const char* jnamestr = jenv->GetStringUTFChars(jnameobj, NULL);
@@ -148,6 +147,7 @@ PackageInfo JavaBasedPackageManager::ConvertPackageFromJava(jobject package, JNI
const char* jversionstr = jenv->GetStringUTFChars(jversionobj, NULL);
string verison(jversionstr);
jenv->DeleteLocalRef(jversionobj);
jenv->DeleteLocalRef(jclazz);
static const jint api_level = GetAndroidVersion(jenv);
@@ -80,17 +80,21 @@ string CommonPackageManager::GetPackagePathByVersion(int version, int platform,
if (!packages.empty())
{
int OptRating = -1;
int OptVersion = 0;
std::vector<std::pair<int, int> >& group = CommonPackageManager::ArmRating;
int platform_group = 0;
if ((cpu_id & ARCH_X86) || (cpu_id & ARCH_X64))
group = CommonPackageManager::IntelRating;
platform_group = 1;
int HardwareRating = GetHardwareRating(platform, cpu_id, group);
LOGD("Current hardware platform rating %d for (%d,%d)", HardwareRating, platform, cpu_id);
if (cpu_id & ARCH_MIPS)
platform_group = 2;
if (-1 == HardwareRating)
int opt_rating = -1;
int opt_version = 0;
const int hardware_rating = GetHardwareRating(platform, cpu_id, ArchRatings[platform_group]);
LOGD("Current hardware platform rating %d for (%d,%d)", hardware_rating, platform, cpu_id);
if (-1 == hardware_rating)
{
LOGE("Cannot calculate rating for current hardware platform!");
}
@@ -99,26 +103,38 @@ string CommonPackageManager::GetPackagePathByVersion(int version, int platform,
vector<PackageInfo>::iterator found = packages.end();
for (vector<PackageInfo>::iterator it = packages.begin(); it != packages.end(); ++it)
{
int PackageRating = GetHardwareRating(it->GetPlatform(), it->GetCpuID(), group);
LOGD("Package \"%s\" rating %d for (%d,%d)", it->GetFullName().c_str(), PackageRating, it->GetPlatform(), it->GetCpuID());
if ((PackageRating >= 0) && (PackageRating <= HardwareRating))
int package_group = 0;
if ((it->GetCpuID() & ARCH_X86) || (it->GetCpuID() & ARCH_X64))
package_group = 1;
if (it->GetCpuID() & ARCH_MIPS)
package_group = 2;
if (package_group != platform_group)
continue;
const int package_rating = GetHardwareRating(it->GetPlatform(), it->GetCpuID(), ArchRatings[package_group]);
LOGD("Package \"%s\" rating %d for (%d,%d)", it->GetFullName().c_str(), package_rating, it->GetPlatform(), it->GetCpuID());
if ((package_rating >= 0) && (package_rating <= hardware_rating))
{
if (((it->GetVersion() >= OptVersion) && (PackageRating >= OptRating)) || (it->GetVersion() > OptVersion))
if (((it->GetVersion() >= opt_version) && (package_rating >= opt_rating)) || (it->GetVersion() > opt_version))
{
OptRating = PackageRating;
OptVersion = it->GetVersion();
opt_rating = package_rating;
opt_version = it->GetVersion();
found = it;
}
}
}
if ((-1 != OptRating) && (packages.end() != found))
if ((-1 != opt_rating) && (packages.end() != found))
{
result = found->GetInstalationPath();
}
else
{
LOGI("Found package is incompatible with current hardware platform");
LOGI("No compatible packages found!");
}
}
}
@@ -146,10 +162,13 @@ int CommonPackageManager::GetHardwareRating(int platform, int cpu_id, const std:
else
{
// Calculate rating for Arm
LOGD("!!! Calculating rating for ARM\n");
for (size_t i = 0; i < group.size(); i++)
{
LOGD("Checking (%d, %d) against (%d,%d)\n", group[i].first, group[i].second, platform, cpu_id);
if (group[i] == std::pair<int, int>(platform, cpu_id))
{
LOGD("Rating found: %d\n", i);
result = i;
break;
}
@@ -182,21 +201,27 @@ std::vector<std::pair<int, int> > CommonPackageManager::InitArmRating()
return result;
}
// Stub for Intel platforms rating initialization. Common package for all Intel based devices is used now
std::vector<std::pair<int, int> > CommonPackageManager::InitIntelRating()
{
std::vector<std::pair<int, int> > result;
result.push_back(std::pair<int, int>(PLATFORM_UNKNOWN, ARCH_X64));
result.push_back(std::pair<int, int>(PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSSE3));
result.push_back(std::pair<int, int>(PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE2));
result.push_back(std::pair<int, int>(PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE));
result.push_back(std::pair<int, int>(PLATFORM_UNKNOWN, ARCH_X86));
return result;
}
// Stub for MIPS platforms rating initialization. Common package for all MIPS based devices is used now
std::vector<std::pair<int, int> > CommonPackageManager::InitMipsRating()
{
std::vector<std::pair<int, int> > result;
return result;
}
std::vector<std::pair<int, int> > CommonPackageManager::IntelRating = CommonPackageManager::InitIntelRating();
std::vector<std::pair<int, int> > CommonPackageManager::ArmRating = InitArmRating();
const std::vector<std::pair<int, int> > CommonPackageManager::ArchRatings[] = {
CommonPackageManager::InitArmRating(),
CommonPackageManager::InitIntelRating(),
CommonPackageManager::InitMipsRating()
};
CommonPackageManager::~CommonPackageManager()
{
@@ -16,11 +16,11 @@ public:
virtual ~CommonPackageManager();
protected:
static std::vector<std::pair<int, int> > ArmRating;
static std::vector<std::pair<int, int> > IntelRating;
static const std::vector<std::pair<int, int> > ArchRatings[];
static std::vector<std::pair<int, int> > InitArmRating();
static std::vector<std::pair<int, int> > InitIntelRating();
static std::vector<std::pair<int, int> > InitMipsRating();
bool IsVersionCompatible(int target_version, int package_version);
int GetHardwareRating(int platform, int cpu_id, const std::vector<std::pair<int, int> >& group);
@@ -136,7 +136,17 @@ inline int SplitVersion(const vector<string>& features, const string& package_ve
// Taking release and build number from package revision
vector<string> tmp2 = SplitStringVector(package_version, '.');
result += atoi(tmp2[0].c_str())*100 + atoi(tmp2[1].c_str());
if (tmp2.size() == 2)
{
// the 2nd digit is revision
result += atoi(tmp2[0].c_str())*100 + 00;
}
else
{
// the 2nd digit is part of library version
// the 3rd digit is revision
result += atoi(tmp2[0].c_str())*100 + atoi(tmp2[1].c_str());
}
}
else
{
@@ -194,10 +204,10 @@ inline int SplitPlatfrom(const vector<string>& features)
* Example: armv7_neon
*/
PackageInfo::PackageInfo(int version, int platform, int cpu_id, std::string install_path):
Version(version),
Platform(platform),
CpuID(cpu_id),
InstallPath("")
Version(version),
Platform(platform),
CpuID(cpu_id),
InstallPath("")
{
#ifndef __SUPPORT_TEGRA3
Platform = PLATFORM_UNKNOWN;
@@ -111,7 +111,6 @@ TEST(Split, SplitMultiElementString)
TEST(CpuCount, CheckNonZero)
{
EXPECT_TRUE(GetProcessorCount() != 0);
EXPECT_TRUE(a.find("") == a.end());
}
TEST(GetCpuInfo, GetCpuInfo)
@@ -127,7 +126,7 @@ TEST(CpuID, CheckNotEmpy)
EXPECT_NE(0, cpu_id);
}
#ifdef __i386__
#if defined(__i386__)
TEST(CpuID, CheckX86)
{
int cpu_id = GetCpuID();
@@ -139,14 +138,14 @@ TEST(CpuID, CheckSSE2)
int cpu_id = GetCpuID();
EXPECT_TRUE(cpu_id & FEATURES_HAS_SSE2);
}
#elseif __mips
#ifdef __SUPPORT_MIPS
TEST(CpuID, CheckMips)
{
#elif defined(__mips)
#ifdef __SUPPORT_MIPS
TEST(CpuID, CheckMips)
{
int cpu_id = GetCpuID();
EXPECT_TRUE(cpu_id & ARCH_MIPS);
}
#endif
}
#endif
#else
TEST(TegraDetector, Detect)
{
@@ -175,4 +174,4 @@ TEST(PlatfromDetector, CheckTegra)
{
EXPECT_NE(PLATFORM_UNKNOWN, DetectKnownPlatforms());
}
#endif
#endif
@@ -69,7 +69,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWExistVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("240", PLATFORM_UNKNOWN, ARCH_X86);
Starter.PackageManager->InstallVersion(2040000, PLATFORM_UNKNOWN, ARCH_X86);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_x86/lib", String8(result).string());
@@ -79,7 +79,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWOldVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("242", PLATFORM_UNKNOWN, ARCH_X86);
Starter.PackageManager->InstallVersion(2040200, PLATFORM_UNKNOWN, ARCH_X86);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.1"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_x86/lib", String8(result).string());
@@ -89,7 +89,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWNewVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("241", PLATFORM_UNKNOWN, ARCH_X86);
Starter.PackageManager->InstallVersion(2040100, PLATFORM_UNKNOWN, ARCH_X86);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.2"));
EXPECT_EQ(0, result.size());
@@ -100,7 +100,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWExistVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("240", PLATFORM_UNKNOWN, ARCH_MIPS);
Starter.PackageManager->InstallVersion(2040000, PLATFORM_UNKNOWN, ARCH_MIPS);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_mips/lib", String8(result).string());
@@ -110,7 +110,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWOldVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("242", PLATFORM_UNKNOWN, ARCH_MIPS);
Starter.PackageManager->InstallVersion(2040200, PLATFORM_UNKNOWN, ARCH_MIPS);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.1"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_mips/lib", String8(result).string());
@@ -120,7 +120,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWNewVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("241", PLATFORM_UNKNOWN, ARCH_MIPS);
Starter.PackageManager->InstallVersion(2040100, PLATFORM_UNKNOWN, ARCH_MIPS);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.2"));
EXPECT_EQ(0, result.size());
@@ -131,7 +131,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWExistVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("240", PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
Starter.PackageManager->InstallVersion(2040000, PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_VFPv3 | FEATURES_HAS_NEON);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4"));
#ifdef __SUPPORT_TEGRA3
@@ -149,7 +149,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWOldVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("242", PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
Starter.PackageManager->InstallVersion(2040200, PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_VFPv3 | FEATURES_HAS_NEON);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.1"));
#ifdef __SUPPORT_TEGRA3
@@ -167,7 +167,7 @@ TEST(OpenCVEngineTest, GetPathForExecHWNewVersion)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("241", PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
Starter.PackageManager->InstallVersion(2040100, PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.2"));
EXPECT_EQ(0, result.size());
@@ -177,7 +177,7 @@ TEST(OpenCVEngineTest, GetPathForCompatiblePackage1)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("242", PLATFORM_UNKNOWN, ARCH_ARMv5);
Starter.PackageManager->InstallVersion(2040200, PLATFORM_UNKNOWN, ARCH_ARMv5);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv5/lib", String8(result).string());
@@ -187,7 +187,7 @@ TEST(OpenCVEngineTest, GetPathForCompatiblePackage2)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("242", PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
Starter.PackageManager->InstallVersion(2040200, PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_VFPv3 | FEATURES_HAS_NEON);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4"));
#ifdef __SUPPORT_TEGRA3
@@ -218,6 +218,66 @@ TEST(OpenCVEngineTest, InstallAndGetVersion)
#endif
#endif
}
TEST(OpenCVEngineTest, GetPathFor2_4_2)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion(2040200, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.2"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv7a/lib", String8(result).string());
}
TEST(OpenCVEngineTest, GetPathFor2_4_3)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion(2040300, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.3"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv7a/lib", String8(result).string());
}
TEST(OpenCVEngineTest, GetPathFor2_4_3_1)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion(2040301, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.3.1"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv7a/lib", String8(result).string());
}
TEST(OpenCVEngineTest, GetPathFor2_4_3_2)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion(2040302, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.3.2"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv7a/lib", String8(result).string());
}
TEST(OpenCVEngineTest, GetPathFor2_4_4)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion(2040400, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.4"));
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv7a/lib", String8(result).string());
}
TEST(OpenCVEngineTest, GetPathFor2_4_5)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion(2040500, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4.5"));
EXPECT_EQ(0, result.size()); // 2.4.5 is not published yet
}
#endif
#ifndef __i386__
@@ -225,7 +285,7 @@ TEST(OpenCVEngineTest, GetPathForInCompatiblePackage1)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("242", PLATFORM_UNKNOWN, ARCH_X64);
Starter.PackageManager->InstallVersion(2040200, PLATFORM_UNKNOWN, ARCH_X64);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4"));
EXPECT_EQ(0, result.size());
@@ -235,7 +295,7 @@ TEST(OpenCVEngineTest, GetPathForInCompatiblePackage1)
{
sp<IOpenCVEngine> Engine = InitConnect();
Starter.PackageManager->InstalledPackages.clear();
Starter.PackageManager->InstallVersion("242", PLATFORM_UNKNOWN, ARCH_ARMv7);
Starter.PackageManager->InstallVersion(2040200, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.4"));
EXPECT_EQ(0, result.size());
@@ -248,4 +308,4 @@ TEST(OpenCVEngineTest, GetPathForUnExistVersion)
EXPECT_FALSE(NULL == Engine.get());
String16 result = Engine->GetLibPathByVersion(String16("2.5"));
EXPECT_EQ(0, result.size());
}
}
@@ -11,14 +11,14 @@ using namespace std;
TEST(PackageInfo, FullNameArmv7)
{
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_ARMv7);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7);
string name = info.GetFullName();
EXPECT_STREQ("org.opencv.lib_v23_armv7a", name.c_str());
}
TEST(PackageInfo, FullNameArmv7Neon)
{
PackageInfo info("241", PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON);
PackageInfo info(2040100, PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON);
string name = info.GetFullName();
#ifdef __SUPPORT_ARMEABI_V7A_FEATURES
EXPECT_STREQ("org.opencv.lib_v24_armv7a_neon", name.c_str());
@@ -29,14 +29,14 @@ TEST(PackageInfo, FullNameArmv7Neon)
TEST(PackageInfo, FullNameArmv7VFPv3)
{
PackageInfo info("233", PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_VFPv3);
PackageInfo info(2030300, PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_VFPv3);
string name = info.GetFullName();
EXPECT_STREQ("org.opencv.lib_v23_armv7a", name.c_str());
}
TEST(PackageInfo, FullNameArmv7VFPv3Neon)
{
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_VFPv3 | FEATURES_HAS_NEON);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_VFPv3 | FEATURES_HAS_NEON);
string name = info.GetFullName();
#ifdef __SUPPORT_ARMEABI_V7A_FEATURES
EXPECT_STREQ("org.opencv.lib_v23_armv7a_neon", name.c_str());
@@ -47,21 +47,21 @@ TEST(PackageInfo, FullNameArmv7VFPv3Neon)
TEST(PackageInfo, FullNameArmv5)
{
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_ARMv5);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_ARMv5);
string name = info.GetFullName();
EXPECT_STREQ("org.opencv.lib_v23_armv5", name.c_str());
}
TEST(PackageInfo, FullNameArmv6)
{
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_ARMv6);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_ARMv6);
string name = info.GetFullName();
EXPECT_STREQ("org.opencv.lib_v23_armv5", name.c_str());
}
TEST(PackageInfo, FullNameArmv6VFPv3)
{
PackageInfo info("232", PLATFORM_UNKNOWN, ARCH_ARMv6 | FEATURES_HAS_VFPv3);
PackageInfo info(2030200, PLATFORM_UNKNOWN, ARCH_ARMv6 | FEATURES_HAS_VFPv3);
string name = info.GetFullName();
#ifdef __SUPPORT_ARMEABI_FEATURES
EXPECT_STREQ("org.opencv.lib_v23_armv5_vfpv3", name.c_str());
@@ -72,7 +72,7 @@ TEST(PackageInfo, FullNameArmv6VFPv3)
TEST(PackageInfo, FullNameTegra3)
{
PackageInfo info("230", PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
PackageInfo info(2030000, PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
string name = info.GetFullName();
#ifdef __SUPPORT_TEGRA3
EXPECT_STREQ("org.opencv.lib_v23_tegra3", name.c_str());
@@ -87,7 +87,7 @@ TEST(PackageInfo, FullNameTegra3)
TEST(PackageInfo, FullNameX86SSE2)
{
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE2);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE2);
string name = info.GetFullName();
#ifdef __SUPPORT_INTEL_FEATURES
EXPECT_STREQ("org.opencv.lib_v23_x86_sse2", name.c_str());
@@ -99,7 +99,7 @@ TEST(PackageInfo, FullNameX86SSE2)
#ifdef __SUPPORT_MIPS
TEST(PackageInfo, FullNameMips)
{
PackageInfo info("243", PLATFORM_UNKNOWN, ARCH_MIPS);
PackageInfo info(2040300, PLATFORM_UNKNOWN, ARCH_MIPS);
string name = info.GetFullName();
EXPECT_STREQ("org.opencv.lib_v24_mips", name.c_str());
}
@@ -108,21 +108,21 @@ TEST(PackageInfo, FullNameMips)
TEST(PackageInfo, Armv7NeonFromFullName)
{
PackageInfo info("org.opencv.lib_v23_armv7a_neon", "/data/data/org.opencv.lib_v23_armv7_neon");
EXPECT_EQ("230", info.GetVersion());
EXPECT_EQ(2030000, info.GetVersion());
EXPECT_EQ(ARCH_ARMv7 | FEATURES_HAS_NEON, info.GetCpuID());
}
TEST(PackageInfo, Armv5FromFullName)
{
PackageInfo info("org.opencv.lib_v23_armv5", "/data/data/org.opencv.lib_v23_armv5");
EXPECT_EQ("230", info.GetVersion());
EXPECT_EQ(2030000, info.GetVersion());
EXPECT_EQ(ARCH_ARMv5, info.GetCpuID());
}
TEST(PackageInfo, Armv5VFPv3FromFullName)
{
PackageInfo info("org.opencv.lib_v23_armv5_vfpv3", "/data/data/org.opencv.lib_v23_armv5_vfpv3");
EXPECT_EQ("230", info.GetVersion());
EXPECT_EQ(2030000, info.GetVersion());
EXPECT_EQ(ARCH_ARMv5 | FEATURES_HAS_VFPv3, info.GetCpuID());
}
@@ -131,20 +131,20 @@ TEST(PackageInfo, X86SSE2FromFullName)
PackageInfo info("org.opencv.lib_v24_x86_sse2", "/data/data/org.opencv.lib_v24_x86_sse2");
EXPECT_EQ(PLATFORM_UNKNOWN, info.GetPlatform());
EXPECT_EQ(ARCH_X86 | FEATURES_HAS_SSE2, info.GetCpuID());
EXPECT_EQ("240", info.GetVersion());
EXPECT_EQ(2040000, info.GetVersion());
}
TEST(PackageInfo, Tegra2FromFullName)
{
PackageInfo info("org.opencv.lib_v23_tegra2", "/data/data/org.opencv.lib_v23_tegra2");
EXPECT_EQ("230", info.GetVersion());
EXPECT_EQ(2030000, info.GetVersion());
EXPECT_EQ(PLATFORM_TEGRA2, info.GetPlatform());
}
TEST(PackageInfo, Tegra3FromFullName)
{
PackageInfo info("org.opencv.lib_v24_tegra3", "/data/data/org.opencv.lib_v24_tegra3");
EXPECT_EQ("240", info.GetVersion());
EXPECT_EQ(2040000, info.GetVersion());
EXPECT_EQ(PLATFORM_TEGRA3, info.GetPlatform());
}
@@ -152,14 +152,28 @@ TEST(PackageInfo, Tegra3FromFullName)
TEST(PackageInfo, MipsFromFullName)
{
PackageInfo info("org.opencv.lib_v24_mips", "/data/data/org.opencv.lib_v24_mips");
EXPECT_EQ("240", info.GetVersion());
EXPECT_EQ(2040000, info.GetVersion());
EXPECT_EQ(ARCH_MIPS, info.GetCpuID());
}
#endif
TEST(PackageInfo, Check2DigitRevision)
{
PackageInfo info("org.opencv.lib_v23_armv7a_neon", "/data/data/org.opencv.lib_v23_armv7_neon", "4.1");
EXPECT_EQ(2030400, info.GetVersion());
EXPECT_EQ(ARCH_ARMv7 | FEATURES_HAS_NEON, info.GetCpuID());
}
TEST(PackageInfo, Check3DigitRevision)
{
PackageInfo info("org.opencv.lib_v23_armv7a_neon", "/data/data/org.opencv.lib_v23_armv7_neon", "4.1.5");
EXPECT_EQ(2030401, info.GetVersion());
EXPECT_EQ(ARCH_ARMv7 | FEATURES_HAS_NEON, info.GetCpuID());
}
TEST(PackageInfo, Comparator1)
{
PackageInfo info1("240", PLATFORM_UNKNOWN, ARCH_X86);
PackageInfo info1(2040000, PLATFORM_UNKNOWN, ARCH_X86);
PackageInfo info2("org.opencv.lib_v24_x86", "/data/data/org.opencv.lib_v24_x86");
EXPECT_STREQ(info1.GetFullName().c_str(), info2.GetFullName().c_str());
EXPECT_EQ(info1, info2);
@@ -167,7 +181,7 @@ TEST(PackageInfo, Comparator1)
TEST(PackageInfo, Comparator2)
{
PackageInfo info1("240", PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON | FEATURES_HAS_VFPv3);
PackageInfo info1(2040000, PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON | FEATURES_HAS_VFPv3);
#ifdef __SUPPORT_ARMEABI_V7A_FEATURES
PackageInfo info2("org.opencv.lib_v24_armv7a_neon", "/data/data/org.opencv.lib_v24_armv7a_neon");
#else
@@ -180,7 +194,7 @@ TEST(PackageInfo, Comparator2)
#ifdef __SUPPORT_TEGRA3
TEST(PackageInfo, Comparator3)
{
PackageInfo info1("230", PLATFORM_TEGRA3, 0);
PackageInfo info1(2030000, PLATFORM_TEGRA3, 0);
PackageInfo info2("org.opencv.lib_v23_tegra3", "/data/data/org.opencv.lib_v23_tegra3");
EXPECT_STREQ(info1.GetFullName().c_str(), info2.GetFullName().c_str());
EXPECT_EQ(info1, info2);
@@ -5,7 +5,6 @@
#include "IOpenCVEngine.h"
#include <utils/String16.h>
#include <gtest/gtest.h>
#include <set>
#include <string>
#include <vector>
@@ -14,52 +13,52 @@ using namespace std;
TEST(PackageManager, InstalledVersions)
{
PackageManagerStub pm;
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_ARMv7);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7);
pm.InstalledPackages.push_back(info);
std::set<string> versions = pm.GetInstalledVersions();
std::vector<int> versions = pm.GetInstalledVersions();
EXPECT_EQ(1, versions.size());
EXPECT_EQ("230", *versions.begin());
EXPECT_EQ(2030000, *versions.begin());
}
TEST(PackageManager, CheckVersionInstalled)
{
PackageManagerStub pm;
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_ARMv7);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7);
pm.InstalledPackages.push_back(info);
EXPECT_TRUE(pm.CheckVersionInstalled("230", PLATFORM_UNKNOWN, ARCH_ARMv7));
EXPECT_TRUE(pm.CheckVersionInstalled(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7));
}
TEST(PackageManager, InstallVersion)
{
PackageManagerStub pm;
PackageInfo info("230", PLATFORM_UNKNOWN, ARCH_ARMv5);
PackageInfo info(2030000, PLATFORM_UNKNOWN, ARCH_ARMv5);
pm.InstalledPackages.push_back(info);
EXPECT_TRUE(pm.InstallVersion("240", PLATFORM_UNKNOWN, ARCH_ARMv5));
EXPECT_TRUE(pm.InstallVersion(2040000, PLATFORM_UNKNOWN, ARCH_ARMv5));
EXPECT_EQ(2, pm.InstalledPackages.size());
EXPECT_TRUE(pm.CheckVersionInstalled("240", PLATFORM_UNKNOWN, ARCH_ARMv5));
EXPECT_TRUE(pm.CheckVersionInstalled(2040000, PLATFORM_UNKNOWN, ARCH_ARMv5));
}
TEST(PackageManager, GetPackagePathForArmv5)
{
PackageManagerStub pm;
EXPECT_TRUE(pm.InstallVersion("243", PLATFORM_UNKNOWN, ARCH_ARMv5));
string path = pm.GetPackagePathByVersion("243", PLATFORM_UNKNOWN, ARCH_ARMv5);
EXPECT_TRUE(pm.InstallVersion(2040300, PLATFORM_UNKNOWN, ARCH_ARMv5));
string path = pm.GetPackagePathByVersion(2040300, PLATFORM_UNKNOWN, ARCH_ARMv5);
EXPECT_STREQ("/data/data/org.opencv.lib_v24_armv5/lib", path.c_str());
}
TEST(PackageManager, GetPackagePathForArmv7)
{
PackageManagerStub pm;
EXPECT_TRUE(pm.InstallVersion("230", PLATFORM_UNKNOWN, ARCH_ARMv7));
string path = pm.GetPackagePathByVersion("230", PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_TRUE(pm.InstallVersion(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7));
string path = pm.GetPackagePathByVersion(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7);
EXPECT_STREQ("/data/data/org.opencv.lib_v23_armv7a/lib", path.c_str());
}
TEST(PackageManager, GetPackagePathForArmv7Neon)
{
PackageManagerStub pm;
EXPECT_TRUE(pm.InstallVersion("230", PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON));
string path = pm.GetPackagePathByVersion("230", PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON);
EXPECT_TRUE(pm.InstallVersion(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON));
string path = pm.GetPackagePathByVersion(2030000, PLATFORM_UNKNOWN, ARCH_ARMv7 | FEATURES_HAS_NEON);
#ifdef __SUPPORT_ARMEABI_V7A_FEATURES
EXPECT_STREQ("/data/data/org.opencv.lib_v23_armv7a_neon/lib", path.c_str());
#else
@@ -70,16 +69,16 @@ TEST(PackageManager, GetPackagePathForArmv7Neon)
TEST(PackageManager, GetPackagePathForX86)
{
PackageManagerStub pm;
EXPECT_TRUE(pm.InstallVersion("230", PLATFORM_UNKNOWN, ARCH_X86));
string path = pm.GetPackagePathByVersion("230", PLATFORM_UNKNOWN, ARCH_X86);
EXPECT_TRUE(pm.InstallVersion(2030000, PLATFORM_UNKNOWN, ARCH_X86));
string path = pm.GetPackagePathByVersion(2030000, PLATFORM_UNKNOWN, ARCH_X86);
EXPECT_STREQ("/data/data/org.opencv.lib_v23_x86/lib", path.c_str());
}
TEST(PackageManager, GetPackagePathForX86SSE2)
{
PackageManagerStub pm;
EXPECT_TRUE(pm.InstallVersion("230", PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE2));
string path = pm.GetPackagePathByVersion("230", PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE2);
EXPECT_TRUE(pm.InstallVersion(2030000, PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE2));
string path = pm.GetPackagePathByVersion(2030000, PLATFORM_UNKNOWN, ARCH_X86 | FEATURES_HAS_SSE2);
#ifdef __SUPPORT_INTEL_FEATURES
EXPECT_STREQ("/data/data/org.opencv.lib_v23_x86_sse2/lib", path.c_str());
#else
@@ -90,8 +89,8 @@ TEST(PackageManager, GetPackagePathForX86SSE2)
TEST(PackageManager, GetPackagePathForTegra3)
{
PackageManagerStub pm;
EXPECT_TRUE(pm.InstallVersion("230", PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON));
string path = pm.GetPackagePathByVersion("230", PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_NEON);
EXPECT_TRUE(pm.InstallVersion(2030000, PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_VFPv3 | FEATURES_HAS_NEON));
string path = pm.GetPackagePathByVersion(2030000, PLATFORM_TEGRA3, ARCH_ARMv7 | FEATURES_HAS_VFPv3 | FEATURES_HAS_NEON);
#ifdef __SUPPORT_TEGRA3
EXPECT_STREQ("/data/data/org.opencv.lib_v23_tegra3/lib", path.c_str());
#else
@@ -107,8 +106,8 @@ TEST(PackageManager, GetPackagePathForTegra3)
TEST(PackageManager, GetPackagePathForMips)
{
PackageManagerStub pm;
EXPECT_TRUE(pm.InstallVersion("243", PLATFORM_UNKNOWN, ARCH_MIPS));
string path = pm.GetPackagePathByVersion("243", PLATFORM_UNKNOWN, ARCH_MIPS);
EXPECT_TRUE(pm.InstallVersion(2040000, PLATFORM_UNKNOWN, ARCH_MIPS));
string path = pm.GetPackagePathByVersion(2040000, PLATFORM_UNKNOWN, ARCH_MIPS);
EXPECT_STREQ("/data/data/org.opencv.lib_v24_mips/lib", path.c_str());
}
#endif
@@ -299,10 +299,9 @@ public class ManagerActivity extends Activity
else
NativeLibDir = "/data/data/" + mInstalledPackageInfo[i].packageName + "/lib";
OpenCVLibraryInfo NativeInfo = new OpenCVLibraryInfo(NativeLibDir);
if (PackageName.equals("org.opencv.engine"))
{
OpenCVLibraryInfo NativeInfo = new OpenCVLibraryInfo(NativeLibDir);
if (NativeInfo.status())
{
PublicName = "Built-in OpenCV library";
@@ -348,9 +347,7 @@ public class ManagerActivity extends Activity
if (null != ActivePackagePath)
{
int start = ActivePackagePath.indexOf(mInstalledPackageInfo[i].packageName);
int stop = start + mInstalledPackageInfo[i].packageName.length();
if (start >= 0 && ActivePackagePath.charAt(stop) == '/')
if (ActivePackagePath.equals(NativeLibDir))
{
temp.put("Activity", "y");
Tags = "active";
@@ -405,13 +402,22 @@ public class ManagerActivity extends Activity
if (OpenCVersion == null || PackageVersion == null)
return "unknown";
int dot = PackageVersion.indexOf(".");
if (dot == -1 || OpenCVersion.length() == 0)
String[] revisions = PackageVersion.split("\\.");
if (revisions.length <= 1 || OpenCVersion.length() == 0)
return "unknown";
else
return OpenCVersion.substring(0, OpenCVersion.length()-1) + "." +
OpenCVersion.toCharArray()[OpenCVersion.length()-1] + "." +
PackageVersion.substring(0, dot) + " rev " + PackageVersion.substring(dot+1);
if (revisions.length == 2)
// the 2nd digit is revision
return OpenCVersion.substring(0, OpenCVersion.length()-1) + "." +
OpenCVersion.toCharArray()[OpenCVersion.length()-1] + "." +
revisions[0] + " rev " + revisions[1];
else
// the 2nd digit is part of library version
// the 3rd digit is revision
return OpenCVersion.substring(0, OpenCVersion.length()-1) + "." +
OpenCVersion.toCharArray()[OpenCVersion.length()-1] + "." +
revisions[0] + "." + revisions[1] + " rev " + revisions[2];
}
protected String ConvertPackageName(String Name, String Version)
+14 -14
Ver Arquivo
@@ -14,20 +14,20 @@ manually using adb tool:
.. code-block:: sh
adb install OpenCV-2.4.3-android-sdk/apk/OpenCV_2.4.3.2_Manager_2.4_<platform>.apk
adb install OpenCV-2.4.4-android-sdk/apk/OpenCV_2.4.4_Manager_2.6_<platform>.apk
Use the table below to determine proper OpenCV Manager package for your device:
+------------------------------+--------------+-----------------------------------------------------+
| Hardware Platform | Android ver. | Package name |
+==============================+==============+=====================================================+
| armeabi-v7a (ARMv7-A + NEON) | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_armv7a-neon.apk |
+------------------------------+--------------+-----------------------------------------------------+
| armeabi-v7a (ARMv7-A + NEON) | = 2.2 | OpenCV_2.4.3.2_Manager_2.4_armv7a-neon-android8.apk |
+------------------------------+--------------+-----------------------------------------------------+
| armeabi (ARMv5, ARMv6) | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_armeabi.apk |
+------------------------------+--------------+-----------------------------------------------------+
| Intel x86 | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_x86.apk |
+------------------------------+--------------+-----------------------------------------------------+
| MIPS | >= 2.3 | OpenCV_2.4.3.2_Manager_2.4_mips.apk |
+------------------------------+--------------+-----------------------------------------------------+
+------------------------------+--------------+---------------------------------------------------+
| Hardware Platform | Android ver. | Package name |
+==============================+==============+===================================================+
| armeabi-v7a (ARMv7-A + NEON) | >= 2.3 | OpenCV_2.4.4_Manager_2.6_armv7a-neon.apk |
+------------------------------+--------------+---------------------------------------------------+
| armeabi-v7a (ARMv7-A + NEON) | = 2.2 | OpenCV_2.4.4_Manager_2.6_armv7a-neon-android8.apk |
+------------------------------+--------------+---------------------------------------------------+
| armeabi (ARMv5, ARMv6) | >= 2.3 | OpenCV_2.4.4_Manager_2.6_armeabi.apk |
+------------------------------+--------------+---------------------------------------------------+
| Intel x86 | >= 2.3 | OpenCV_2.4.4_Manager_2.6_x86.apk |
+------------------------------+--------------+---------------------------------------------------+
| MIPS | >= 2.3 | OpenCV_2.4.4_Manager_2.6_mips.apk |
+------------------------------+--------------+---------------------------------------------------+
+1 -1
Ver Arquivo
@@ -97,7 +97,7 @@ if(CMAKE_COMPILER_IS_GNUCXX)
endif()
# We need pthread's
if(UNIX AND NOT ANDROID)
if(UNIX AND NOT ANDROID AND NOT (APPLE AND CMAKE_COMPILER_IS_CLANGCXX))
add_extra_compiler_option(-pthread)
endif()
+43 -13
Ver Arquivo
@@ -33,13 +33,48 @@ if(CUDA_FOUND)
message(STATUS "CUDA detected: " ${CUDA_VERSION})
if (CARMA)
set(CUDA_ARCH_BIN "2.1(2.0) 3.0" CACHE STRING "Specify 'real' GPU architectures to build binaries for, BIN(PTX) format is supported")
set(CUDA_ARCH_PTX "3.0" CACHE STRING "Specify 'virtual' PTX architectures to build PTX intermediate code for")
else()
set(CUDA_ARCH_BIN "1.1 1.2 1.3 2.0 2.1(2.0) 3.0" CACHE STRING "Specify 'real' GPU architectures to build binaries for, BIN(PTX) format is supported")
set(CUDA_ARCH_PTX "2.0 3.0" CACHE STRING "Specify 'virtual' PTX architectures to build PTX intermediate code for")
set(_generations "Fermi" "Kepler")
if(NOT CMAKE_CROSSCOMPILING)
list(APPEND _generations "Auto")
endif()
set(CUDA_GENERATION "" CACHE STRING "Build CUDA device code only for specific GPU architecture. Leave empty to build for all architectures.")
if( CMAKE_VERSION VERSION_GREATER "2.8" )
set_property( CACHE CUDA_GENERATION PROPERTY STRINGS "" ${_generations} )
endif()
if(CUDA_GENERATION)
if(NOT ";${_generations};" MATCHES ";${CUDA_GENERATION};")
string(REPLACE ";" ", " _generations "${_generations}")
message(FATAL_ERROR "ERROR: ${_generations} Generations are suppered.")
endif()
unset(CUDA_ARCH_BIN CACHE)
unset(CUDA_ARCH_PTX CACHE)
endif()
set(__cuda_arch_ptx "")
if(CUDA_GENERATION STREQUAL "Fermi")
set(__cuda_arch_bin "2.0 2.1(2.0)")
elseif(CUDA_GENERATION STREQUAL "Kepler")
set(__cuda_arch_bin "3.0")
elseif(CUDA_GENERATION STREQUAL "Auto")
execute_process( COMMAND "${CUDA_NVCC_EXECUTABLE}" "${OpenCV_SOURCE_DIR}/cmake/OpenCVDetectCudaArch.cu" "--run"
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE _nvcc_res OUTPUT_VARIABLE _nvcc_out
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
if(NOT _nvcc_res EQUAL 0)
message(STATUS "Automatic detection of CUDA generation failed. Going to build for all known architectures.")
else()
set(__cuda_arch_bin "${_nvcc_out}")
endif()
endif()
if(NOT DEFINED __cuda_arch_bin)
set(__cuda_arch_bin "1.1 1.2 1.3 2.0 2.1(2.0) 3.0")
set(__cuda_arch_ptx "2.0 3.0")
endif()
set(CUDA_ARCH_BIN ${__cuda_arch_bin} CACHE STRING "Specify 'real' GPU architectures to build binaries for, BIN(PTX) format is supported")
set(CUDA_ARCH_PTX ${__cuda_arch_ptx} CACHE STRING "Specify 'virtual' PTX architectures to build PTX intermediate code for")
string(REGEX REPLACE "\\." "" ARCH_BIN_NO_POINTS "${CUDA_ARCH_BIN}")
string(REGEX REPLACE "\\." "" ARCH_PTX_NO_POINTS "${CUDA_ARCH_PTX}")
@@ -83,13 +118,8 @@ if(CUDA_FOUND)
set(OPENCV_CUDA_ARCH_FEATURES "${OPENCV_CUDA_ARCH_FEATURES} ${ARCH}")
endforeach()
if(CARMA)
set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} --target-cpu-architecture=ARM" )
if (CMAKE_VERSION VERSION_LESS 2.8.10)
set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} -ccbin=${CMAKE_CXX_COMPILER}" )
endif()
if(${CMAKE_SYSTEM_PROCESSOR} STREQUAL "arm")
set(CUDA_NVCC_FLAGS "${CUDA_NVCC_FLAGS} --target-cpu-architecture=ARM")
endif()
# These vars will be processed in other scripts
+26 -16
Ver Arquivo
@@ -5,15 +5,17 @@ if(CMAKE_CL_64)
set(MSVC64 1)
endif()
if(NOT APPLE)
if(CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
set(CMAKE_COMPILER_IS_GNUCXX 1)
set(ENABLE_PRECOMPILED_HEADERS OFF CACHE BOOL "" FORCE)
endif()
if(CMAKE_C_COMPILER_ID STREQUAL "Clang")
set(CMAKE_COMPILER_IS_GNUCC 1)
set(ENABLE_PRECOMPILED_HEADERS OFF CACHE BOOL "" FORCE)
endif()
if(CMAKE_CXX_COMPILER_ID STREQUAL "Clang")
set(CMAKE_COMPILER_IS_GNUCXX 1)
set(CMAKE_COMPILER_IS_CLANGCXX 1)
endif()
if(CMAKE_C_COMPILER_ID STREQUAL "Clang")
set(CMAKE_COMPILER_IS_GNUCC 1)
set(CMAKE_COMPILER_IS_CLANGCC 1)
endif()
if((CMAKE_COMPILER_IS_CLANGCXX OR CMAKE_COMPILER_IS_CLANGCC) AND NOT CMAKE_GENERATOR MATCHES "Xcode")
set(ENABLE_PRECOMPILED_HEADERS OFF CACHE BOOL "" FORCE)
endif()
# ----------------------------------------------------------------------------
@@ -44,16 +46,24 @@ if(MSVC AND CMAKE_C_COMPILER MATCHES "icc")
set(CV_ICC __INTEL_COMPILER_FOR_WINDOWS)
endif()
if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID STREQUAL "Clang" OR (UNIX AND CV_ICC))
set(CV_COMPILER_IS_GNU TRUE)
else()
set(CV_COMPILER_IS_GNU FALSE)
endif()
# ----------------------------------------------------------------------------
# Detect GNU version:
# ----------------------------------------------------------------------------
if(CMAKE_COMPILER_IS_GNUCXX)
if(CMAKE_COMPILER_IS_CLANGCXX)
set(CMAKE_GCC_REGEX_VERSION "4.2.1")
set(CMAKE_OPENCV_GCC_VERSION_MAJOR 4)
set(CMAKE_OPENCV_GCC_VERSION_MINOR 2)
set(CMAKE_OPENCV_GCC_VERSION 42)
set(CMAKE_OPENCV_GCC_VERSION_NUM 402)
execute_process(COMMAND ${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ARG1} -v
ERROR_VARIABLE CMAKE_OPENCV_CLANG_VERSION_FULL
ERROR_STRIP_TRAILING_WHITESPACE)
string(REGEX MATCH "version.*$" CMAKE_OPENCV_CLANG_VERSION_FULL "${CMAKE_OPENCV_CLANG_VERSION_FULL}")
string(REGEX MATCH "[0-9]+\\.[0-9]+" CMAKE_CLANG_REGEX_VERSION "${CMAKE_OPENCV_CLANG_VERSION_FULL}")
elseif(CMAKE_COMPILER_IS_GNUCXX)
execute_process(COMMAND ${CMAKE_CXX_COMPILER} ${CMAKE_CXX_COMPILER_ARG1} -dumpversion
OUTPUT_VARIABLE CMAKE_OPENCV_GCC_VERSION_FULL
OUTPUT_STRIP_TRAILING_WHITESPACE)
+14
Ver Arquivo
@@ -0,0 +1,14 @@
#include <stdio.h>
int main()
{
int count = 0;
if (cudaSuccess != cudaGetDeviceCount(&count)){return -1;}
if (count == 0) {return -1;}
for (int device = 0; device < count; ++device)
{
cudaDeviceProp prop;
if (cudaSuccess != cudaGetDeviceProperties(&prop, device)){ continue;}
printf("%d.%d ", prop.major, prop.minor);
}
return 0;
}
+8
Ver Arquivo
@@ -81,6 +81,7 @@ else()
set(ENV_AMDAPPSDKROOT $ENV{AMDAPPSDKROOT})
set(ENV_OPENCLROOT $ENV{OPENCLROOT})
set(ENV_CUDA_PATH $ENV{CUDA_PATH})
set(ENV_INTELOCLSDKROOT $ENV{INTELOCLSDKROOT})
if(ENV_AMDSTREAMSDKROOT)
set(OPENCL_INCLUDE_SEARCH_PATH ${ENV_AMDAPPSDKROOT}/include)
if(CMAKE_SIZEOF_VOID_P EQUAL 4)
@@ -109,6 +110,13 @@ else()
else()
set(OPENCL_LIB_SEARCH_PATH ${OPENCL_LIB_SEARCH_PATH} /usr/lib64)
endif()
elseif(ENV_INTELOCLSDKROOT)
set(OPENCL_INCLUDE_SEARCH_PATH ${ENV_INTELOCLSDKROOT}/include)
if(CMAKE_SIZEOF_VOID_P EQUAL 4)
set(OPENCL_LIB_SEARCH_PATH ${OPENCL_LIB_SEARCH_PATH} ${ENV_INTELOCLSDKROOT}/lib/x86)
else()
set(OPENCL_LIB_SEARCH_PATH ${OPENCL_LIB_SEARCH_PATH} ${ENV_INTELOCLSDKROOT}/lib/x64)
endif()
endif()
if(OPENCL_INCLUDE_SEARCH_PATH)
+10 -3
Ver Arquivo
@@ -19,18 +19,25 @@ unset(HAVE_SPHINX CACHE)
if(PYTHON_EXECUTABLE)
if(PYTHON_VERSION_STRING)
set(PYTHON_VERSION_MAJOR_MINOR "${PYTHON_VERSION_MAJOR}.${PYTHON_VERSION_MINOR}")
string(REGEX MATCH "[0-9]+.[0-9]+.[0-9]+" PYTHON_VERSION_FULL "${PYTHON_VERSION_STRING}")
set(PYTHON_VERSION_FULL "${PYTHON_VERSION_STRING}")
else()
execute_process(COMMAND ${PYTHON_EXECUTABLE} --version
ERROR_VARIABLE PYTHON_VERSION_FULL
ERROR_STRIP_TRAILING_WHITESPACE)
string(REGEX MATCH "[0-9]+.[0-9]+" PYTHON_VERSION_MAJOR_MINOR "${PYTHON_VERSION_FULL}")
string(REGEX MATCH "[0-9]+.[0-9]+.[0-9]+" PYTHON_VERSION_FULL "${PYTHON_VERSION_FULL}")
endif()
if("${PYTHON_VERSION_FULL}" MATCHES "[0-9]+.[0-9]+.[0-9]+")
set(PYTHON_VERSION_FULL "${CMAKE_MATCH_0}")
elseif("${PYTHON_VERSION_FULL}" MATCHES "[0-9]+.[0-9]+")
set(PYTHON_VERSION_FULL "${CMAKE_MATCH_0}")
else()
unset(PYTHON_VERSION_FULL)
endif()
if(NOT ANDROID AND NOT IOS)
if(CMAKE_VERSION VERSION_GREATER 2.8.8)
if(CMAKE_VERSION VERSION_GREATER 2.8.8 AND PYTHON_VERSION_FULL)
find_host_package(PythonLibs ${PYTHON_VERSION_FULL} EXACT)
else()
find_host_package(PythonLibs ${PYTHON_VERSION_FULL})
+32 -5
Ver Arquivo
@@ -7,11 +7,6 @@ if(WITH_TBB)
include("${OpenCV_SOURCE_DIR}/cmake/OpenCVDetectTBB.cmake")
endif(WITH_TBB)
# --- C= ---
if(WITH_CSTRIPES)
include("${OpenCV_SOURCE_DIR}/cmake/OpenCVDetectCStripes.cmake")
endif(WITH_CSTRIPES)
# --- IPP ---
ocv_clear_vars(IPP_FOUND)
if(WITH_IPP)
@@ -43,3 +38,35 @@ if(WITH_EIGEN)
set(HAVE_EIGEN 1)
endif()
endif(WITH_EIGEN)
# --- C= ---
if(WITH_CSTRIPES AND NOT HAVE_TBB)
include("${OpenCV_SOURCE_DIR}/cmake/OpenCVDetectCStripes.cmake")
else()
set(HAVE_CSTRIPES 0)
endif()
# --- OpenMP ---
if(NOT HAVE_TBB AND NOT HAVE_CSTRIPES)
set(_fname "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/omptest.cpp")
FILE(WRITE "${_fname}" "#ifndef _OPENMP\n#error\n#endif\nint main() { return 0; }\n")
TRY_COMPILE(HAVE_OPENMP "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp" "${_fname}")
else()
set(HAVE_OPENMP 0)
endif()
# --- GCD ---
if(APPLE AND NOT HAVE_TBB AND NOT HAVE_CSTRIPES AND NOT HAVE_OPENMP)
set(HAVE_GCD 1)
else()
set(HAVE_GCD 0)
endif()
# --- Concurrency ---
if(MSVC AND NOT HAVE_TBB AND NOT HAVE_CSTRIPES AND NOT HAVE_OPENMP)
set(_fname "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/concurrencytest.cpp")
FILE(WRITE "${_fname}" "#if _MSC_VER < 1600\n#error\n#endif\nint main() { return 0; }\n")
TRY_COMPILE(HAVE_CONCURRENCY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp" "${_fname}")
else()
set(HAVE_CONCURRENCY 0)
endif()
+1 -1
Ver Arquivo
@@ -20,7 +20,7 @@ if(ANDROID)
endif()
# setup lists of camera libs
foreach(abi ARMEABI ARMEABI_V7A X86)
foreach(abi ARMEABI ARMEABI_V7A X86 MIPS)
ANDROID_GET_ABI_RAWNAME(${abi} ndkabi)
if(BUILD_ANDROID_CAMERA_WRAPPER)
if(ndkabi STREQUAL ANDROID_NDK_ABI_NAME)
+11 -2
Ver Arquivo
@@ -53,6 +53,10 @@ if(OpenCV_LIB_COMPONENTS)
list(REMOVE_ITEM OPENCV_MODULES_CONFIGCMAKE ${OpenCV_LIB_COMPONENTS})
endif()
if(BUILD_FAT_JAVA_LIB AND HAVE_opencv_java)
list(APPEND OPENCV_MODULES_CONFIGCMAKE opencv_java)
endif()
macro(ocv_generate_dependencies_map_configcmake suffix configuration)
set(OPENCV_DEPENDENCIES_MAP_${suffix} "")
set(OPENCV_PROCESSED_LIBS "")
@@ -126,8 +130,13 @@ configure_file("${OpenCV_SOURCE_DIR}/cmake/templates/OpenCVConfig-version.cmake.
set(OpenCV_INCLUDE_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OPENCV_INCLUDE_INSTALL_PATH}/opencv" "\${OpenCV_INSTALL_PATH}/${OPENCV_INCLUDE_INSTALL_PATH}\"")
set(OpenCV2_INCLUDE_DIRS_CONFIGCMAKE "\"\"")
set(OpenCV_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OPENCV_LIB_INSTALL_PATH}\"")
set(OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OPENCV_3P_LIB_INSTALL_PATH}\"")
if(ANDROID)
set(OpenCV_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/sdk/native/libs/\${ANDROID_NDK_ABI_NAME}\"")
set(OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/sdk/native/3rdparty/libs/\${ANDROID_NDK_ABI_NAME}\"")
else()
set(OpenCV_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OPENCV_LIB_INSTALL_PATH}\"")
set(OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OPENCV_3P_LIB_INSTALL_PATH}\"")
endif()
if(INSTALL_TO_MANGLED_PATHS)
string(REPLACE "OpenCV" "OpenCV-${OPENCV_VERSION}" OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "${OPENCV_3P_LIB_INSTALL_PATH}")
set(OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE "\"\${OpenCV_INSTALL_PATH}/${OpenCV_3RDPARTY_LIB_DIRS_CONFIGCMAKE}\"")
+1 -1
Ver Arquivo
@@ -141,7 +141,7 @@ macro(ocv_warnings_disable)
set(${var} "${${var}} ${warning}")
endforeach()
endforeach()
elseif(CV_COMPILER_IS_GNU AND _gxx_warnings AND _flag_vars)
elseif((CMAKE_COMPILER_IS_GNUCXX OR (UNIX AND CV_ICC)) AND _gxx_warnings AND _flag_vars)
foreach(var ${_flag_vars})
foreach(warning ${_gxx_warnings})
if(NOT warning MATCHES "^-Wno-")
+6 -3
Ver Arquivo
@@ -42,7 +42,7 @@ else
OPENCV_EXTRA_COMPONENTS:=@OPENCV_EXTRA_COMPONENTS_CONFIGMAKE@
endif
ifeq ($(TARGET_ARCH_ABI),mips)
OPENCV_3RDPARTY_COMPONENTS:=@OPENCV_3RDPARTY_COMPONENTS_CONFIGMAKE_NO_TBB@
OPENCV_3RDPARTY_COMPONENTS:=@OPENCV_3RDPARTY_COMPONENTS_CONFIGMAKE@
OPENCV_EXTRA_COMPONENTS:=@OPENCV_EXTRA_COMPONENTS_CONFIGMAKE@
endif
endif
@@ -57,6 +57,9 @@ ifeq (${OPENCV_CAMERA_MODULES},on)
ifeq ($(TARGET_ARCH_ABI),x86)
OPENCV_CAMERA_MODULES:=@OPENCV_CAMERA_LIBS_X86_CONFIGCMAKE@
endif
ifeq ($(TARGET_ARCH_ABI),mips)
OPENCV_CAMERA_MODULES:=@OPENCV_CAMERA_LIBS_MIPS_CONFIGCMAKE@
endif
else
OPENCV_CAMERA_MODULES:=
endif
@@ -89,7 +92,7 @@ define add_opencv_camera_module
include $(PREBUILT_SHARED_LIBRARY)
endef
ifeq ($(OPENCV_MK_ALREADY_INCLUDED),)
ifeq ($(OPENCV_MK_$(OPENCV_TARGET_ARCH_ABI)_ALREADY_INCLUDED),)
ifeq ($(OPENCV_INSTALL_MODULES),on)
$(foreach module,$(OPENCV_LIBS),$(eval $(call add_opencv_module,$(module))))
endif
@@ -102,7 +105,7 @@ ifeq ($(OPENCV_MK_ALREADY_INCLUDED),)
endif
#turn off module installation to prevent their redefinition
OPENCV_MK_ALREADY_INCLUDED:=on
OPENCV_MK_$(OPENCV_TARGET_ARCH_ABI)_ALREADY_INCLUDED:=on
endif
ifeq ($(OPENCV_LOCAL_CFLAGS),)
+13 -8
Ver Arquivo
@@ -151,6 +151,7 @@ endif()
# ==============================================================
if(NOT OpenCV_FIND_COMPONENTS)
set(OpenCV_FIND_COMPONENTS ${OpenCV_LIB_COMPONENTS})
list(REMOVE_ITEM OpenCV_FIND_COMPONENTS opencv_java)
if(GTest_FOUND OR GTEST_FOUND)
list(REMOVE_ITEM OpenCV_FIND_COMPONENTS opencv_ts)
endif()
@@ -201,7 +202,7 @@ foreach(__opttype OPT DBG)
#indicate that this module is also found
string(TOUPPER "${__cvdep}" __cvdep)
set(${__cvdep}_FOUND 1)
else()
elseif(EXISTS "${OpenCV_3RDPARTY_LIB_DIR_${__opttype}}/${OpenCV_${__cvdep}_LIBNAME_${__opttype}}")
list(APPEND OpenCV_LIBS_${__opttype} "${OpenCV_3RDPARTY_LIB_DIR_${__opttype}}/${OpenCV_${__cvdep}_LIBNAME_${__opttype}}")
endif()
endforeach()
@@ -219,18 +220,14 @@ foreach(__opttype OPT DBG)
else()
#TODO: duplicates are annoying but they should not be the problem
endif()
# CUDA
if(OpenCV_CUDA_VERSION AND (CARMA OR (WIN32 AND NOT OpenCV_SHARED)))
if(OpenCV_CUDA_VERSION AND (CMAKE_CROSSCOMPILING OR (WIN32 AND NOT OpenCV_SHARED)))
if(NOT CUDA_FOUND)
find_package(CUDA ${OpenCV_CUDA_VERSION} EXACT REQUIRED)
else()
if(NOT CUDA_VERSION_STRING VERSION_EQUAL OpenCV_CUDA_VERSION)
if(WIN32)
message(FATAL_ERROR "OpenCV static library was compiled with CUDA ${OpenCV_CUDA_VERSION} support. Please, use the same version or rebuild OpenCV with CUDA ${CUDA_VERSION_STRING}")
else()
message(FATAL_ERROR "OpenCV library for CARMA was compiled with CUDA ${OpenCV_CUDA_VERSION} support. Please, use the same version or rebuild OpenCV with CUDA ${CUDA_VERSION_STRING}")
endif()
message(FATAL_ERROR "OpenCV static library was compiled with CUDA ${OpenCV_CUDA_VERSION} support. Please, use the same version or rebuild OpenCV with CUDA ${CUDA_VERSION_STRING}")
endif()
endif()
@@ -308,3 +305,11 @@ else()
SET(OpenCV_LIB_DIR ${OpenCV_LIB_DIR_OPT} ${OpenCV_3RDPARTY_LIB_DIR_OPT})
endif()
set(OpenCV_LIBRARIES ${OpenCV_LIBS})
if(CMAKE_CROSSCOMPILING AND OpenCV_SHARED AND (CMAKE_SYSTEM_NAME MATCHES "Linux"))
foreach(dir ${OpenCV_LIB_DIR})
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,-rpath-link,${dir}")
set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -Wl,-rpath-link,${dir}")
set(CMAKE_MODULE_LINKER_FLAGS "${CMAKE_MODULE_LINKER_FLAGS} -Wl,-rpath-link,${dir}")
endforeach()
endif()
Diferenças do arquivo suprimidas por serem muito extensas Carregar Diff
+1 -1
Ver Arquivo
@@ -38,7 +38,7 @@ doc_signatures_whitelist = [
"CvArr", "CvFileStorage",
# other
"InputArray", "OutputArray",
]
] + ["CvSubdiv2D", "CvQuadEdge2D", "CvSubdiv2DPoint", "cvDrawContours"]
defines = ["cvGraphEdgeIdx", "cvFree", "CV_Assert", "cvSqrt", "cvGetGraphVtx", "cvGraphVtxIdx",
"cvCaptureFromFile", "cvCaptureFromCAM", "cvCalcBackProjectPatch", "cvCalcBackProject",
+57 -4
Ver Arquivo
@@ -992,6 +992,11 @@ class DefinitionParser(object):
return rv
def _parse_signature(self):
if r'CvStatModel::train' in self.definition:
# hack to skip parsing of problematic definition
self.pos = self.end
return [ArgumentDefExpr("const Mat&", "train_data", None), ArgumentDefExpr(None, self.definition[self.definition.find("["):-1], None)], False, True
self.skip_ws()
if not self.skip_string('('):
self.fail('expected parentheses for function')
@@ -1075,6 +1080,17 @@ class DefinitionParser(object):
value = None
return MemberObjDefExpr(name, visibility, static, typename, value)
def parse_enum_member_object(self):
visibility, static = self._parse_visibility_static()
typename = None
name = self._parse_type()
self.skip_ws()
if self.skip_string('='):
value = self.read_rest().strip()
else:
value = None
return MemberObjDefExpr(name, visibility, static, typename, value)
def parse_function(self):
visibility, static = self._parse_visibility_static()
if self.skip_word('explicit'):
@@ -1180,6 +1196,8 @@ class OCVObject(ObjectDescription):
def add_target_and_index(self, sigobj, sig, signode):
theid = sig#obj.get_id()
theid = re.sub(r" +", " ", theid)
if self.objtype == 'emember':
theid = re.sub(r" ?=.*", "", theid)
theid = re.sub(r"=[^,()]+\([^)]*?\)[^,)]*(,|\))", "\\1", theid)
theid = re.sub(r"=\w*[^,)(]+(,|\))", "\\1", theid)
theid = theid.replace("( ", "(").replace(" )", ")")
@@ -1293,6 +1311,25 @@ class OCVTypeObject(OCVObject):
signode += nodes.Text(' ')
self.attach_name(signode, obj.name)
class OCVEnumObject(OCVObject):
def get_index_text(self, name):
if self.objtype == 'enum':
return _('%s (enum)') % name
return ''
def parse_definition(self, parser):
return parser.parse_type_object()
def describe_signature(self, signode, obj):
self.attach_modifiers(signode, obj)
signode += addnodes.desc_annotation('enum ', 'enum ')
if obj.typename is not None:
self.attach_type(signode, obj.typename)
signode += nodes.Text(' ')
self.attach_name(signode, obj.name)
class OCVMemberObject(OCVObject):
ismember = True
@@ -1309,12 +1346,20 @@ class OCVMemberObject(OCVObject):
def describe_signature(self, signode, obj):
self.attach_modifiers(signode, obj)
self.attach_type(signode, obj.typename)
signode += nodes.Text(' ')
if obj.typename:
self.attach_type(signode, obj.typename)
signode += nodes.Text(' ')
self.attach_name(signode, obj.name)
if obj.value is not None:
signode += nodes.Text(u' = ' + obj.value)
class OCVEnumMemberObject(OCVMemberObject):
def parse_definition(self, parser):
# parent_class = self.env.temp_data.get('ocv:parent')
# if parent_class is None:
# parser.fail("missing parent structure/class")
return parser.parse_enum_member_object()
class OCVFunctionObject(OCVObject):
def attach_function(self, node, func):
@@ -1448,7 +1493,9 @@ class OCVDomain(Domain):
'pyfunction': ObjType(l_('pyfunction'), 'pyfunc'),
'pyoldfunction': ObjType(l_('pyoldfunction'), 'pyoldfunc'),
'member': ObjType(l_('member'), 'member'),
'type': ObjType(l_('type'), 'type')
'emember': ObjType(l_('emember'), 'emember'),
'type': ObjType(l_('type'), 'type'),
'enum': ObjType(l_('enum'), 'enum')
}
directives = {
@@ -1460,7 +1507,9 @@ class OCVDomain(Domain):
'pyfunction': OCVPyModulelevel,
'pyoldfunction': OCVPyOldModulelevel,
'member': OCVMemberObject,
'emember': OCVEnumMemberObject,
'type': OCVTypeObject,
'enum': OCVEnumObject,
'namespace': OCVCurrentNamespace
}
roles = {
@@ -1475,7 +1524,9 @@ class OCVDomain(Domain):
'pyfunc' : OCVPyXRefRole(),
'pyoldfunc' : OCVPyXRefRole(),
'member': OCVXRefRole(),
'type': OCVXRefRole()
'emember': OCVXRefRole(),
'type': OCVXRefRole(),
'enum': OCVXRefRole()
}
initial_data = {
'objects': {}, # fullname -> docname, objtype
@@ -1563,7 +1614,9 @@ class OCVDomain(Domain):
'pyfunction': _('Python function'),
'pyoldfunction': _('Legacy Python function'),
'member': _('C++ member'),
'emember': _('enum member'),
'type': _('C/C++ type'),
'enum': _('C/C++ enum'),
'namespace': _('C++ namespace'),
}.get(type.lname, _('%s %s') % (self.label, type.lname))
@@ -53,8 +53,8 @@ As usual, after the not-so-lengthy explanation, let's go to the code:
std::cout<<"* Enter alpha [0-1]: ";
std::cin>>input;
/// We use the alpha provided by the user iff it is between 0 and 1
if( alpha >= 0 && alpha <= 1 )
/// We use the alpha provided by the user if it is between 0 and 1
if( input >= 0.0 && input <= 1.0 )
{ alpha = input; }
/// Read image ( same size, same type )
+3 -1
Ver Arquivo
@@ -8,4 +8,6 @@
.. |Author_FernandoI| unicode:: Fernando U+0020 Iglesias U+0020 Garc U+00ED a
.. |Author_EduardF| unicode:: Eduard U+0020 Feicho
.. |Author_AlexB| unicode:: Alexandre U+0020 Benoit
.. |Author_EricCh| unicode:: Eric U+0020 Christiansen
.. |Author_AndreyP| unicode:: Andrey U+0020 Pavlenko
.. |Author_AlexS| unicode:: Alexander U+0020 Smorkalov
@@ -48,10 +48,10 @@ The structure of package contents looks as follows:
::
OpenCV-2.4.3-android-sdk
OpenCV-2.4.4-android-sdk
|_ apk
| |_ OpenCV_2.4.3_binary_pack_armv7a.apk
| |_ OpenCV_2.4.3_Manager_2.0_XXX.apk
| |_ OpenCV_2.4.4_binary_pack_armv7a.apk
| |_ OpenCV_2.4.4_Manager_2.6_XXX.apk
|
|_ doc
|_ samples
@@ -157,10 +157,10 @@ Get the OpenCV4Android SDK
.. code-block:: bash
unzip ~/Downloads/OpenCV-2.4.3-android-sdk.zip
unzip ~/Downloads/OpenCV-2.4.4-android-sdk.zip
.. |opencv_android_bin_pack| replace:: OpenCV-2.4.3.2-android-sdk.zip
.. _opencv_android_bin_pack_url: http://sourceforge.net/projects/opencvlibrary/files/opencv-android/2.4.3/OpenCV-2.4.3.2-android-sdk.zip/download
.. |opencv_android_bin_pack| replace:: :file:`OpenCV-2.4.4-android-sdk.zip`
.. _opencv_android_bin_pack_url: http://sourceforge.net/projects/opencvlibrary/files/opencv-android/2.4.4/OpenCV-2.4.4-android-sdk.zip/download
.. |opencv_android_bin_pack_url| replace:: |opencv_android_bin_pack|
.. |seven_zip| replace:: 7-Zip
.. _seven_zip: http://www.7-zip.org/
@@ -184,7 +184,7 @@ Import OpenCV library and samples to the Eclipse
You can simply reference it in your projects.
Each sample included into the |opencv_android_bin_pack| is a regular Android project that already
references OpenCV library.Follow the steps below to import OpenCV and samples into the workspace:
references OpenCV library. Follow the steps below to import OpenCV and samples into the workspace:
.. note:: OpenCV samples are indeed **dependent** on OpenCV library project so don't forget to import it to your workspace as well.
@@ -246,8 +246,8 @@ Running OpenCV Samples
----------------------
At this point you should be able to build and run the samples. Keep in mind, that
``face-detection``, ``Tutorial 3` and ``Tutorial 4`` include some native code and
require Android NDK and CDT plugin for Eclipse to build working applications. If you haven't
``face-detection`` and ``Tutorial 2 - Mixed Processing`` include some native code and
require Android NDK and NDK/CDT plugin for Eclipse to build working applications. If you haven't
installed these tools, see the corresponding section of :ref:`Android_Dev_Intro`.
.. warning:: Please consider that some samples use Android Java Camera API, which is accessible
@@ -295,7 +295,7 @@ Well, running samples from Eclipse is very simple:
.. code-block:: sh
:linenos:
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.3_Manager_armv7a-neon.apk
<Android SDK path>/platform-tools/adb install <OpenCV4Android SDK path>/apk/OpenCV_2.4.4_Manager_2.6_armv7a-neon.apk
.. note:: ``armeabi``, ``armv7a-neon``, ``arm7a-neon-android8``, ``mips`` and ``x86`` stand for
platform targets:
@@ -326,15 +326,16 @@ Well, running samples from Eclipse is very simple:
When done, you will be able to run OpenCV samples on your device/emulator seamlessly.
* Here is ``Tutorial 2 - Use OpenCV Camera`` sample, running on top of stock camera-preview of the emulator.
* Here is ``Sample - image-manipulations`` sample, running on top of stock camera-preview of the emulator.
.. image:: images/emulator_canny.png
:height: 600px
:alt: Tutorial 1 Basic - 1. Add OpenCV - running Canny
:alt: 'Sample - image-manipulations' running Canny
:align: center
What's next
===========
Now, when you have your instance of OpenCV4Adroid SDK set up and configured, you may want to proceed to using OpenCV in your own application. You can learn how to do that in a separate :ref:`dev_with_OCV_on_Android` tutorial.
Now, when you have your instance of OpenCV4Adroid SDK set up and configured,
you may want to proceed to using OpenCV in your own application.
You can learn how to do that in a separate :ref:`dev_with_OCV_on_Android` tutorial.
@@ -103,8 +103,8 @@ You need the following software to be installed in order to develop for Android
Here is Google's `install guide <http://developer.android.com/sdk/installing.html>`_ for the SDK.
.. note:: You can choose downloading ``ADT Bundle package`` that in addition to Android SDK Tools includes
Eclipse + ADT + CDT plugins, Android Platform-tools, the latest Android platform and the latest
.. note:: You can choose downloading **ADT Bundle package** that in addition to Android SDK Tools includes
Eclipse + ADT + NDK/CDT plugins, Android Platform-tools, the latest Android platform and the latest
Android system image for the emulator - this is the best choice for those who is setting up Android
development environment the first time!
@@ -112,15 +112,15 @@ You need the following software to be installed in order to develop for Android
for use on amd64 and ia64 systems to be installed. You can install them with the
following command:
.. code-block:: bash
.. code-block:: bash
sudo apt-get install ia32-libs
sudo apt-get install ia32-libs
For Red Hat based systems the following command might be helpful:
For Red Hat based systems the following command might be helpful:
.. code-block:: bash
.. code-block:: bash
sudo yum install libXtst.i386
sudo yum install libXtst.i386
#. **Android SDK components**
@@ -148,7 +148,7 @@ You need the following software to be installed in order to develop for Android
Check the `Android SDK System Requirements <http://developer.android.com/sdk/requirements.html>`_
document for a list of Eclipse versions that are compatible with the Android SDK.
For OpenCV 2.4.x we recommend **Eclipse 3.7 (Indigo)** or later versions. They work well for
For OpenCV 2.4.x we recommend **Eclipse 3.7 (Indigo)** or **Eclipse 4.2 (Juno)**. They work well for
OpenCV under both Windows and Linux.
If you have no Eclipse installed, you can get it from the `official site <http://www.eclipse.org/downloads/>`_.
@@ -210,9 +210,9 @@ You need the following software to be installed in order to develop for Android
.. note:: Before start you can read official Android NDK documentation which is in the Android
NDK archive, in the folder :file:`docs/`.
The main article about using Android NDK build system is in the :file:`ANDROID-MK.html` file.
Some additional information you can find in the :file:`APPLICATION-MK.html`,
:file:`NDK-BUILD.html` files, and :file:`CPU-ARM-NEON.html`, :file:`CPLUSPLUS-SUPPORT.html`,
:file:`PREBUILTS.html`.
Some additional information you can find in
the :file:`APPLICATION-MK.html`, :file:`NDK-BUILD.html` files,
and :file:`CPU-ARM-NEON.html`, :file:`CPLUSPLUS-SUPPORT.html`, :file:`PREBUILTS.html`.
#. **CDT plugin for Eclipse**
@@ -55,14 +55,14 @@ Manager to access OpenCV libraries externally installed in the target system.
:guilabel:`File -> Import -> Existing project in your workspace`.
Press :guilabel:`Browse` button and locate OpenCV4Android SDK
(:file:`OpenCV-2.4.3-android-sdk/sdk`).
(:file:`OpenCV-2.4.4-android-sdk/sdk`).
.. image:: images/eclipse_opencv_dependency0.png
:alt: Add dependency from OpenCV library
:align: center
#. In application project add a reference to the OpenCV Java SDK in
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.3``.
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.4``.
.. image:: images/eclipse_opencv_dependency1.png
:alt: Add dependency from OpenCV library
@@ -128,27 +128,27 @@ described above.
#. Add the OpenCV library project to your workspace the same way as for the async initialization
above. Use menu :guilabel:`File -> Import -> Existing project in your workspace`,
press :guilabel:`Browse` button and select OpenCV SDK path
(:file:`OpenCV-2.4.3-android-sdk/sdk`).
(:file:`OpenCV-2.4.4-android-sdk/sdk`).
.. image:: images/eclipse_opencv_dependency0.png
:alt: Add dependency from OpenCV library
:align: center
#. In the application project add a reference to the OpenCV4Android SDK in
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.3``;
:guilabel:`Project -> Properties -> Android -> Library -> Add` select ``OpenCV Library - 2.4.4``;
.. image:: images/eclipse_opencv_dependency1.png
:alt: Add dependency from OpenCV library
:align: center
#. If your application project **doesn't have a JNI part**, just copy the corresponding OpenCV
native libs from :file:`<OpenCV-2.4.3-android-sdk>/sdk/native/libs/<target_arch>` to your
native libs from :file:`<OpenCV-2.4.4-android-sdk>/sdk/native/libs/<target_arch>` to your
project directory to folder :file:`libs/<target_arch>`.
In case of the application project **with a JNI part**, instead of manual libraries copying you
need to modify your ``Android.mk`` file:
add the following two code lines after the ``"include $(CLEAR_VARS)"`` and before
``"include path_to_OpenCV-2.4.3-android-sdk/sdk/native/jni/OpenCV.mk"``
``"include path_to_OpenCV-2.4.4-android-sdk/sdk/native/jni/OpenCV.mk"``
.. code-block:: make
:linenos:
@@ -221,7 +221,7 @@ taken:
.. code-block:: make
include C:\Work\OpenCV4Android\OpenCV-2.4.3-android-sdk\sdk\native\jni\OpenCV.mk
include C:\Work\OpenCV4Android\OpenCV-2.4.4-android-sdk\sdk\native\jni\OpenCV.mk
Should be inserted into the :file:`jni/Android.mk` file **after** this line:
@@ -382,7 +382,7 @@ result.
OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this, mLoaderCallback);
}
#. Defines that your activity implements CvViewFrameListener interface and fix activity related
#. Defines that your activity implements ``CvViewFrameListener2`` interface and fix activity related
errors by defining missed methods. For this activity define ``onCreate``, ``onDestroy`` and
``onPause`` and implement them according code snippet bellow. Fix errors by adding requited
imports.
@@ -423,8 +423,8 @@ result.
public void onCameraViewStopped() {
}
public Mat onCameraFrame(Mat inputFrame) {
return inputFrame;
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
return inputFrame.rgba();
}
#. Run your application on device or emulator.
@@ -432,7 +432,7 @@ result.
Lets discuss some most important steps. Every Android application with UI must implement Activity
and View. By the first steps we create blank activity and default view layout. The simplest
OpenCV-centric application must implement OpenCV initialization, create its own view to show
preview from camera and implements ``CvViewFrameListener`` interface to get frames from camera and
preview from camera and implements ``CvViewFrameListener2`` interface to get frames from camera and
process it.
First of all we create our application view using xml layout. Our layout consists of the only
@@ -448,8 +448,13 @@ After creating layout we need to implement ``Activity`` class. OpenCV initializa
been already discussed above. In this sample we use asynchronous initialization. Implementation of
``CvCameraViewListener`` interface allows you to add processing steps after frame grabbing from
camera and before its rendering on screen. The most important function is ``onCameraFrame``. It is
callback function and it is called on retrieving frame from camera. The callback input is frame
from camera. RGBA format is used by default. You can change this behavior by ``SetCaptureFormat``
method of ``View`` class. ``Highgui.CV_CAP_ANDROID_COLOR_FRAME_RGBA`` and
``Highgui.CV_CAP_ANDROID_GREY_FRAME`` are supported. It expects that function returns RGBA frame
that will be drawn on the screen.
callback function and it is called on retrieving frame from camera. The callback input is object
of ``CvCameraViewFrame`` class that represents frame from camera.
.. note::
Do not save or use ``CvCameraViewFrame`` object out of ``onCameraFrame`` callback. This object
does not have its own state and its behavior out of callback is unpredictable!
It has ``rgba()`` and ``gray()`` methods that allows to get frame as RGBA and one channel gray scale
``Mat`` respectively. It expects that ``onCameraFrame`` function returns RGBA frame that will be
drawn on the screen.
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@@ -0,0 +1,115 @@
.. _ARM-Linux-cross-compile:
Cross compilation for ARM based Linux systems
*********************************************
This steps are tested on Ubuntu Linux 12.04, but should work for other Linux distributions.
I case of other distributions package names and names of cross compilation tools may differ.
There are several popular EABI versions that are used on ARM platform. This tutorial is
written for *gnueabi* and *gnueabihf*, but other variants should work with minimal changes.
Prerequisites
=============
* Host computer with Linux;
* Git;
* CMake 2.6 or higher;
* Cross compilation tools for ARM: gcc, libstc++, etc. Depending on target platform you need
to choose *gnueabi* or *gnueabihf* tools.
Install command for *gnueabi*:
.. code-block:: bash
sudo apt-get install gcc-arm-linux-gnueabi
Install command for *gnueabihf*:
.. code-block:: bash
sudo apt-get install gcc-arm-linux-gnueabihf
* pkgconfig;
* Python 2.6 for host system;
* [optional] ffmpeg or libav development packages for armeabi(hf): libavcodec-dev, libavformat-dev, libswscale-dev;
* [optional] GTK+2.x or higher, including headers (libgtk2.0-dev) for armeabi(hf);
* [optional] libdc1394 2.x;
* [optional] libjpeg-dev, libpng-dev, libtiff-dev, libjasper-dev for armeabi(hf).
Getting OpenCV Source Code
==========================
You can use the latest stable OpenCV version available in *sourceforge* or you can grab the latest
snapshot from our `Git repository <https://github.com/Itseez/opencv.git>`_.
Getting the Latest Stable OpenCV Version
----------------------------------------
* Go to our `page on Sourceforge <http://sourceforge.net/projects/opencvlibrary>`_;
* Download the source tarball and unpack it.
Getting the Cutting-edge OpenCV from the Git Repository
-------------------------------------------------------
Launch Git client and clone `OpenCV repository <http://github.com/itseez/opencv>`_
In Linux it can be achieved with the following command in Terminal:
.. code-block:: bash
cd ~/<my_working _directory>
git clone https://github.com/Itseez/opencv.git
Building OpenCV
===============
#. Create a build directory, make it current and run the following command:
.. code-block:: bash
cmake [<some optional parameters>] -DCMAKE_TOOLCHAIN_FILE=<path to the OpenCV source directory>/platforms/linux/arm-gnueabi.toolchain.cmake <path to the OpenCV source directory>
Toolchain uses *gnueabihf* EABI convention by default. Add ``-DSOFTFP=ON`` cmake argument to switch on softfp compiler.
.. code-block:: bash
cmake [<some optional parameters>] -DSOFTFP=ON -DCMAKE_TOOLCHAIN_FILE=<path to the OpenCV source directory>/platforms/linux/arm-gnueabi.toolchain.cmake <path to the OpenCV source directory>
For example:
.. code-block:: bash
cd ~/opencv/platforms/linux
mkdir -p build_hardfp
cd build_hardfp
cmake -DCMAKE_TOOLCHAIN_FILE=../arm-gnueabi.toolchain.cmake ../../..
#. Run make in build (<cmake_binary_dir>) directory:
.. code-block:: bash
make
.. note::
Optionally you can strip symbols info from the created library via install/strip make target.
This option produces smaller binary (~ twice smaller) but makes further debugging harder.
Enable hardware optimizations
-----------------------------
Depending on target platfrom architecture different instruction sets can be used. By default
compiler generates code for armv5l without VFPv3 and NEON extensions. Add ``-DUSE_VFPV3=ON``
to cmake command line to enable code generation for VFPv3 and ``-DUSE_NEON=ON`` for using
NEON SIMD extensions.
TBB is supported on multi core ARM SoCs also.
Add ``-DWITH_TBB=ON`` and ``-DBUILD_TBB=ON`` to enable it. Cmake scripts download TBB sources
from official project site `<http://threadingbuildingblocks.org/>`_ and build it.
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@@ -0,0 +1,540 @@
.. _Java_Dev_Intro:
Introduction to Java Development
********************************
Last updated: 28 February, 2013.
As of OpenCV 2.4.4, OpenCV supports desktop Java development using nearly the same interface as for
Android development. This guide will help you to create your first Java (or Scala) application using OpenCV.
We will use either `Eclipse <http://eclipse.org/>`_, `Apache Ant <http://ant.apache.org/>`_ or the
`Simple Build Tool (SBT) <http://www.scala-sbt.org/>`_ to build the application.
For further reading after this guide, look at the :ref:`Android_Dev_Intro` tutorials.
What we'll do in this guide
***************************
In this guide, we will:
* Get OpenCV with desktop Java support
* Create an ``Ant``, ``Eclipse`` or ``SBT`` project
* Write a simple OpenCV application in Java or Scala
The same process was used to create the samples in the :file:`samples/java` folder of the OpenCV repository,
so consult those files if you get lost.
Get proper OpenCV
*****************
Starting from version 2.4.4 OpenCV includes desktop Java bindings.
Download
########
The most simple way to get it is downloading the appropriate package of **version 2.4.4 or higher** from the
`OpenCV SourceForge repository <http://sourceforge.net/projects/opencvlibrary/files/>`_.
.. note:: Windows users can find the prebuilt files needed for Java development in
the :file:`opencv/build/java/` folder inside the package.
For other OSes it's required to build OpenCV from sources.
Another option to get OpenCV sources is to clone `OpenCV git repository
<https://github.com/Itseez/opencv/>`_.
In order to build OpenCV with Java bindings you need :abbr:`JDK (Java Development Kit)`
(we recommend `Oracle/Sun JDK 6 or 7 <http://www.oracle.com/technetwork/java/javase/downloads/>`_),
`Apache Ant <http://ant.apache.org/>`_ and `Python` v2.6 or higher to be installed.
Build
#####
Let's build OpenCV:
.. code-block:: bash
git clone git://github.com/Itseez/opencv.git
cd opencv
git checkout 2.4
mkdir build
cd build
Generate a Makefile or a MS Visual Studio* solution, or whatever you use for
building executables in your system:
.. code-block:: bash
cmake -DBUILD_SHARED_LIBS=OFF ..
or
.. code-block:: bat
cmake -DBUILD_SHARED_LIBS=OFF -G "Visual Studio 10" ..
.. note:: When OpenCV is built as a set of **static** libraries (``-DBUILD_SHARED_LIBS=OFF`` option)
the Java bindings dynamic library is all-sufficient,
i.e. doesn't depend on other OpenCV libs, but includes all the OpenCV code inside.
Examine the output of CMake and ensure ``java`` is one of the modules "To be built".
If not, it's likely you're missing a dependency. You should troubleshoot by looking
through the CMake output for any Java-related tools that aren't found and installing them.
.. image:: images/cmake_output.png
:alt: CMake output
:align: center
.. note:: If ``CMake`` can't find Java in your system set the ``JAVA_HOME``
environment variable with the path to installed JDK
before running it. E.g.:
.. code-block:: bash
export JAVA_HOME=/usr/lib/jvm/java-6-oracle
cmake -DBUILD_SHARED_LIBS=OFF ..
Now start the build:
.. code-block:: bash
make -j8
or
.. code-block:: bat
msbuild /m OpenCV.sln /t:Build /p:Configuration=Release /v:m
Besides all this will create a ``jar`` containing the Java interface (:file:`bin/opencv-244.jar`)
and a native dynamic library containing Java bindings and all the OpenCV stuff
(:file:`bin/Release/opencv_java244.dll` or :file:`lib/libopencv_java244.so` respectively).
We'll use these files later.
Java sample with Ant
********************
.. note::
The described sample is provided with OpenCV library in the :file:`opencv/samples/java/ant` folder.
* Create a folder where you'll develop this sample application.
* In this folder create the :file:`build.xml` file with the following content using any text editor:
.. code-block:: xml
:linenos:
<project name="SimpleSample" basedir="." default="rebuild-run">
<property name="src.dir" value="src"/>
<property name="lib.dir" value="${ocvJarDir}"/>
<path id="classpath">
<fileset dir="${lib.dir}" includes="**/*.jar"/>
</path>
<property name="build.dir" value="build"/>
<property name="classes.dir" value="${build.dir}/classes"/>
<property name="jar.dir" value="${build.dir}/jar"/>
<property name="main-class" value="${ant.project.name}"/>
<target name="clean">
<delete dir="${build.dir}"/>
</target>
<target name="compile">
<mkdir dir="${classes.dir}"/>
<javac includeantruntime="false" srcdir="${src.dir}" destdir="${classes.dir}" classpathref="classpath"/>
</target>
<target name="jar" depends="compile">
<mkdir dir="${jar.dir}"/>
<jar destfile="${jar.dir}/${ant.project.name}.jar" basedir="${classes.dir}">
<manifest>
<attribute name="Main-Class" value="${main-class}"/>
</manifest>
</jar>
</target>
<target name="run" depends="jar">
<java fork="true" classname="${main-class}">
<sysproperty key="java.library.path" path="${ocvLibDir}"/>
<classpath>
<path refid="classpath"/>
<path location="${jar.dir}/${ant.project.name}.jar"/>
</classpath>
</java>
</target>
<target name="rebuild" depends="clean,jar"/>
<target name="rebuild-run" depends="clean,run"/>
</project>
.. note::
This XML file can be reused for building other Java applications.
It describes a common folder structure in the lines 3 - 12 and common targets
for compiling and running the application.
When reusing this XML don't forget to modify the project name in the line 1,
that is also the name of the `main` class (line 14).
The paths to OpenCV `jar` and `jni lib` are expected as parameters
(``"${ocvJarDir}"`` in line 5 and ``"${ocvLibDir}"`` in line 37), but
you can hardcode these paths for your convenience.
See `Ant documentation <http://ant.apache.org/manual/>`_ for detailed description
of its build file format.
* Create an :file:`src` folder next to the :file:`build.xml` file and a :file:`SimpleSample.java` file in it.
* Put the following Java code into the :file:`SimpleSample.java` file:
.. code-block:: java
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.CvType;
import org.opencv.core.Scalar;
class SimpleSample {
static{ System.loadLibrary(Core.NATIVE_LIBRARY_NAME); }
public static void main(String[] args) {
System.out.println("Welcome to OpenCV " + Core.VERSION);
Mat m = new Mat(5, 10, CvType.CV_8UC1, new Scalar(0));
System.out.println("OpenCV Mat: " + m);
Mat mr1 = m.row(1);
mr1.setTo(new Scalar(1));
Mat mc5 = m.col(5);
mc5.setTo(new Scalar(5));
System.out.println("OpenCV Mat data:\n" + m.dump());
}
}
* Run the following command in console in the folder containing :file:`build.xml`:
.. code-block:: bash
ant -DocvJarDir=path/to/dir/containing/opencv-244.jar -DocvLibDir=path/to/dir/containing/opencv_java244/native/library
For example:
.. code-block:: bat
ant -DocvJarDir=X:\opencv-2.4.4\bin -DocvLibDir=X:\opencv-2.4.4\bin\Release
The command should initiate [re]building and running the sample.
You should see on the screen something like this:
.. image:: images/ant_output.png
:alt: run app with Ant
:align: center
Java project in Eclipse
***********************
Now let's look at the possiblity of using OpenCV in Java when developing in Eclipse IDE.
* Create a new Eclipse workspace
* Create a new Java project via :guilabel:`File --> New --> Java Project`
.. image:: images/eclipse_new_java_prj.png
:alt: Eclipse: new Java project
:align: center
Call it say "HelloCV".
* Open :guilabel:`Java Build Path` tab on :guilabel:`Project Properties` dialog
and configure additional library (OpenCV) reference (jar and native library location):
.. image:: images/eclipse_user_lib.png
:alt: Eclipse: external JAR
:align: center
` `
.. image:: images/eclipse_user_lib2.png
:alt: Eclipse: external JAR
:align: center
` `
.. image:: images/eclipse_user_lib3.png
:alt: Eclipse: external JAR
:align: center
` `
.. image:: images/eclipse_user_lib4.png
:alt: Eclipse: external JAR
:align: center
` `
.. image:: images/eclipse_user_lib5.png
:alt: Eclipse: external JAR
:align: center
` `
.. image:: images/eclipse_user_lib6.png
:alt: Eclipse: external JAR
:align: center
` `
.. image:: images/eclipse_user_lib7.png
:alt: Eclipse: external JAR
:align: center
` `
.. image:: images/eclipse_user_lib8.png
:alt: Eclipse: external JAR
:align: center
` `
* Add a new Java class (say ``Main``) containing the application entry:
.. image:: images/eclipse_main_class.png
:alt: Eclipse: Main class
:align: center
* Put some simple OpenCV calls there, e.g.:
.. code-block:: java
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
public class Main {
public static void main(String[] args) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
Mat m = Mat.eye(3, 3, CvType.CV_8UC1);
System.out.println("m = " + m.dump());
}
}
* Press :guilabel:`Run` button and find the identity matrix content in the Eclipse ``Console`` window.
.. image:: images/eclipse_run.png
:alt: Eclipse: run
:align: center
SBT project for Java and Scala
******************************
Now we'll create a simple Java application using SBT. This serves as a brief introduction to
those unfamiliar with this build tool. We're using SBT because it is particularly easy and powerful.
First, download and install `SBT <http://www.scala-sbt.org/>`_ using the instructions on its `web site <http://www.scala-sbt.org/>`_.
Next, navigate to a new directory where you'd like the application source to live (outside :file:`opencv` dir).
Let's call it "JavaSample" and create a directory for it:
.. code-block:: bash
cd <somewhere outside opencv>
mkdir JavaSample
Now we will create the necessary folders and an SBT project:
.. code-block:: bash
cd JavaSample
mkdir -p src/main/java # This is where SBT expects to find Java sources
mkdir project # This is where the build definitions live
Now open :file:`project/build.scala` in your favorite editor and paste the following.
It defines your project:
.. code-block:: scala
import sbt._
import Keys._
object JavaSampleBuild extends Build {
def scalaSettings = Seq(
scalaVersion := "2.10.0",
scalacOptions ++= Seq(
"-optimize",
"-unchecked",
"-deprecation"
)
)
def buildSettings =
Project.defaultSettings ++
scalaSettings
lazy val root = {
val settings = buildSettings ++ Seq(name := "JavaSample")
Project(id = "JavaSample", base = file("."), settings = settings)
}
}
Now edit :file:`project/plugins.sbt` and paste the following.
This will enable auto-generation of an Eclipse project:
.. code-block:: scala
addSbtPlugin("com.typesafe.sbteclipse" % "sbteclipse-plugin" % "2.1.0")
Now run ``sbt`` from the :file:`JavaSample` root and from within SBT run ``eclipse`` to generate an eclipse project:
.. code-block:: bash
sbt # Starts the sbt console
> eclipse # Running "eclipse" from within the sbt console
You should see something like this:
.. image:: images/sbt_eclipse.png
:alt: SBT output
:align: center
You can now import the SBT project to Eclipse using :guilabel:`Import ... -> Existing projects into workspace`.
Whether you actually do this is optional for the guide;
we'll be using SBT to build the project, so if you choose to use Eclipse it will just serve as a text editor.
To test that everything is working, create a simple "Hello OpenCV" application.
Do this by creating a file :file:`src/main/java/HelloOpenCV.java` with the following contents:
.. code-block:: java
public class HelloOpenCV {
public static void main(String[] args) {
System.out.println("Hello, OpenCV");
}
}
Now execute ``run`` from the sbt console, or more concisely, run ``sbt run`` from the command line:
.. code-block:: bash
sbt run
You should see something like this:
.. image:: images/sbt_run.png
:alt: SBT run
:align: center
Running SBT samples
###################
Now we'll create a simple face detection application using OpenCV.
First, create a :file:`lib/` folder and copy the OpenCV jar into it.
By default, SBT adds jars in the lib folder to the Java library search path.
You can optionally rerun ``sbt eclipse`` to update your Eclipse project.
.. code-block:: bash
mkdir lib
cp <opencv_dir>/build/bin/opencv_<version>.jar lib/
sbt eclipse
Next, create the directory :file:`src/main/resources` and download this Lena image into it:
.. image:: images/lena.png
:alt: Lena
:align: center
Make sure it's called :file:`"lena.png"`.
Items in the resources directory are available to the Java application at runtime.
Next, copy :file:`lbpcascade_frontalface.xml` from :file:`opencv/data/lbpcascades/` into the :file:`resources`
directory:
.. code-block:: bash
cp <opencv_dir>/data/lbpcascades/lbpcascade_frontalface.xml src/main/resources/
Now modify src/main/java/HelloOpenCV.java so it contains the following Java code:
.. code-block:: java
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;
//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
class DetectFaceDemo {
public void run() {
System.out.println("\nRunning DetectFaceDemo");
// Create a face detector from the cascade file in the resources
// directory.
CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("/lbpcascade_frontalface.xml").getPath());
Mat image = Highgui.imread(getClass().getResource("/lena.png").getPath());
// Detect faces in the image.
// MatOfRect is a special container class for Rect.
MatOfRect faceDetections = new MatOfRect();
faceDetector.detectMultiScale(image, faceDetections);
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
// Draw a bounding box around each face.
for (Rect rect : faceDetections.toArray()) {
Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
}
// Save the visualized detection.
String filename = "faceDetection.png";
System.out.println(String.format("Writing %s", filename));
Highgui.imwrite(filename, image);
}
}
public class HelloOpenCV {
public static void main(String[] args) {
System.out.println("Hello, OpenCV");
// Load the native library.
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
new DetectFaceDemo().run();
}
}
Note the call to ``System.loadLibrary(Core.NATIVE_LIBRARY_NAME)``.
This command must be executed exactly once per Java process prior to using any native OpenCV methods.
If you don't call it, you will get ``UnsatisfiedLink errors``.
You will also get errors if you try to load OpenCV when it has already been loaded.
Now run the face detection app using ``sbt run``:
.. code-block:: bash
sbt run
You should see something like this:
.. image:: images/sbt_run_face.png
:alt: SBT run
:align: center
It should also write the following image to :file:`faceDetection.png`:
.. image:: images/faceDetection.png
:alt: Detected face
:align: center
You're done!
Now you have a sample Java application working with OpenCV, so you can start the work on your own.
We wish you good luck and many years of joyful life!
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@@ -3,7 +3,9 @@
Introduction to OpenCV
-----------------------------------------------------------
Here you can read tutorials about how to set up your computer to work with the OpenCV library. Additionaly you can find a few very basic sample source code that will let introduce you to the world of the OpenCV.
Here you can read tutorials about how to set up your computer to work with the OpenCV library.
Additionally you can find a few very basic sample source code that will let introduce you to the
world of the OpenCV.
.. include:: ../../definitions/tocDefinitions.rst
@@ -101,6 +103,26 @@ Here you can read tutorials about how to set up your computer to work with the O
:height: 90pt
:width: 90pt
* **Desktop Java**
.. tabularcolumns:: m{100pt} m{300pt}
.. cssclass:: toctableopencv
================ =================================================
|JavaLogo| **Title:** :ref:`Java_Dev_Intro`
*Compatibility:* > OpenCV 2.4.4
*Authors:* |Author_EricCh| and |Author_AndreyP|
Explains how to build and run a simple desktop Java application using Eclipse, Ant or the Simple Build Tool (SBT).
================ =================================================
.. |JavaLogo| image:: images/Java_logo.png
:height: 90pt
:width: 90pt
* **Android**
.. tabularcolumns:: m{100pt} m{300pt}
@@ -169,6 +191,24 @@ Here you can read tutorials about how to set up your computer to work with the O
.. |Install_iOS| image:: images/opencv_ios.png
:width: 90pt
* **Embedded Linux**
.. tabularcolumns:: m{100pt} m{300pt}
.. cssclass:: toctableopencv
=========== ======================================================
|Usage_1| **Title:** :ref:`ARM-Linux-cross-compile`
*Compatibility:* > OpenCV 2.4.4
*Author:* |Author_AlexS|
We will learn how to setup OpenCV cross compilation environment for ARM Linux.
=========== ======================================================
* **Common**
.. tabularcolumns:: m{100pt} m{300pt}
.. cssclass:: toctableopencv
@@ -229,7 +269,7 @@ Here you can read tutorials about how to set up your computer to work with the O
\pagebreak
.. We use a custom table of content format and as the table of content only imforms Sphinx about the hierarchy of the files, no need to show it.
.. We use a custom table of content format and as the table of content only informs Sphinx about the hierarchy of the files, no need to show it.
.. toctree::
:hidden:
@@ -238,10 +278,12 @@ Here you can read tutorials about how to set up your computer to work with the O
../linux_eclipse/linux_eclipse
../windows_install/windows_install
../windows_visual_studio_Opencv/windows_visual_studio_Opencv
../desktop_java/java_dev_intro
../android_binary_package/android_dev_intro
../android_binary_package/O4A_SDK
../android_binary_package/dev_with_OCV_on_Android
../ios_install/ios_install
../crosscompilation/arm_crosscompile_with_cmake
../display_image/display_image
../load_save_image/load_save_image
../how_to_write_a_tutorial/how_to_write_a_tutorial
../how_to_write_a_tutorial/how_to_write_a_tutorial
+119 -32
Ver Arquivo
@@ -238,7 +238,7 @@ The constructors.
:param epsilon: The desired accuracy or change in parameters at which the iterative algorithm stops.
:param criteria: Termination criteria in the deprecated ``CvTermCriteria`` format.
TermCriteria::operator CvTermCriteria
-------------------------------------
Converts to the deprecated ``CvTermCriteria`` format.
@@ -418,27 +418,47 @@ Template class for smart reference-counting pointers ::
};
The ``Ptr<_Tp>`` class is a template class that wraps pointers of the corresponding type. It is similar to ``shared_ptr`` that is part of the Boost library (
http://www.boost.org/doc/libs/1_40_0/libs/smart_ptr/shared_ptr.htm
) and also part of the `C++0x <http://en.wikipedia.org/wiki/C++0x>`_
standard.
The ``Ptr<_Tp>`` class is a template class that wraps pointers of the corresponding type. It is
similar to ``shared_ptr`` that is part of the Boost library
(http://www.boost.org/doc/libs/1_40_0/libs/smart_ptr/shared_ptr.htm) and also part of the
`C++0x <http://en.wikipedia.org/wiki/C++0x>`_ standard.
This class provides the following options:
*
Default constructor, copy constructor, and assignment operator for an arbitrary C++ class or a C structure. For some objects, like files, windows, mutexes, sockets, and others, a copy constructor or an assignment operator are difficult to define. For some other objects, like complex classifiers in OpenCV, copy constructors are absent and not easy to implement. Finally, some of complex OpenCV and your own data structures may be written in C. However, copy constructors and default constructors can simplify programming a lot. Besides, they are often required (for example, by STL containers). By wrapping a pointer to such a complex object ``TObj`` to ``Ptr<TObj>`` , you automatically get all of the necessary constructors and the assignment operator.
Default constructor, copy constructor, and assignment operator for an arbitrary C++ class
or a C structure. For some objects, like files, windows, mutexes, sockets, and others, a copy
constructor or an assignment operator are difficult to define. For some other objects, like
complex classifiers in OpenCV, copy constructors are absent and not easy to implement. Finally,
some of complex OpenCV and your own data structures may be written in C.
However, copy constructors and default constructors can simplify programming a lot.Besides,
they are often required (for example, by STL containers). By wrapping a pointer to such a
complex object ``TObj`` to ``Ptr<TObj>``, you automatically get all of the necessary
constructors and the assignment operator.
*
*O(1)* complexity of the above-mentioned operations. While some structures, like ``std::vector``, provide a copy constructor and an assignment operator, the operations may take a considerable amount of time if the data structures are large. But if the structures are put into ``Ptr<>`` , the overhead is small and independent of the data size.
*O(1)* complexity of the above-mentioned operations. While some structures, like ``std::vector``,
provide a copy constructor and an assignment operator, the operations may take a considerable
amount of time if the data structures are large. But if the structures are put into ``Ptr<>``,
the overhead is small and independent of the data size.
*
Automatic destruction, even for C structures. See the example below with ``FILE*`` .
Automatic destruction, even for C structures. See the example below with ``FILE*``.
*
Heterogeneous collections of objects. The standard STL and most other C++ and OpenCV containers can store only objects of the same type and the same size. The classical solution to store objects of different types in the same container is to store pointers to the base class ``base_class_t*`` instead but then you loose the automatic memory management. Again, by using ``Ptr<base_class_t>()`` instead of the raw pointers, you can solve the problem.
Heterogeneous collections of objects. The standard STL and most other C++ and OpenCV containers
can store only objects of the same type and the same size. The classical solution to store objects
of different types in the same container is to store pointers to the base class ``base_class_t*``
instead but then you loose the automatic memory management. Again, by using ``Ptr<base_class_t>()``
instead of the raw pointers, you can solve the problem.
The ``Ptr`` class treats the wrapped object as a black box. The reference counter is allocated and managed separately. The only thing the pointer class needs to know about the object is how to deallocate it. This knowledge is encapsulated in the ``Ptr::delete_obj()`` method that is called when the reference counter becomes 0. If the object is a C++ class instance, no additional coding is needed, because the default implementation of this method calls ``delete obj;`` .
However, if the object is deallocated in a different way, the specialized method should be created. For example, if you want to wrap ``FILE`` , the ``delete_obj`` may be implemented as follows: ::
The ``Ptr`` class treats the wrapped object as a black box. The reference counter is allocated and
managed separately. The only thing the pointer class needs to know about the object is how to
deallocate it. This knowledge is encapsulated in the ``Ptr::delete_obj()`` method that is called when
the reference counter becomes 0. If the object is a C++ class instance, no additional coding is
needed, because the default implementation of this method calls ``delete obj;``. However, if the
object is deallocated in a different way, the specialized method should be created. For example,
if you want to wrap ``FILE``, the ``delete_obj`` may be implemented as follows: ::
template<> inline void Ptr<FILE>::delete_obj()
{
@@ -456,7 +476,73 @@ However, if the object is deallocated in a different way, the specialized method
// the file will be closed automatically by the Ptr<FILE> destructor.
.. note:: The reference increment/decrement operations are implemented as atomic operations, and therefore it is normally safe to use the classes in multi-threaded applications. The same is true for :ocv:class:`Mat` and other C++ OpenCV classes that operate on the reference counters.
.. note:: The reference increment/decrement operations are implemented as atomic operations,
and therefore it is normally safe to use the classes in multi-threaded applications.
The same is true for :ocv:class:`Mat` and other C++ OpenCV classes that operate on
the reference counters.
Ptr::Ptr
--------
Various Ptr constructors.
.. ocv:function:: Ptr::Ptr()
.. ocv:function:: Ptr::Ptr(_Tp* _obj)
.. ocv:function:: Ptr::Ptr(const Ptr& ptr)
Ptr::~Ptr
---------
The Ptr destructor.
.. ocv:function:: Ptr::~Ptr()
Ptr::operator =
----------------
Assignment operator.
.. ocv:function:: Ptr& Ptr::operator = (const Ptr& ptr)
Decrements own reference counter (with ``release()``) and increments ptr's reference counter.
Ptr::addref
-----------
Increments reference counter.
.. ocv:function:: void Ptr::addref()
Ptr::release
------------
Decrements reference counter; when it becomes 0, ``delete_obj()`` is called.
.. ocv:function:: void Ptr::release()
Ptr::delete_obj
---------------
User-specified custom object deletion operation. By default, ``delete obj;`` is called.
.. ocv:function:: void Ptr::delete_obj()
Ptr::empty
----------
Returns true if obj == 0;
bool empty() const;
Ptr::operator ->
----------------
Provide access to the object fields and methods.
.. ocv:function:: template<typename _Tp> _Tp* Ptr::operator -> ()
.. ocv:function:: template<typename _Tp> const _Tp* Ptr::operator -> () const
Ptr::operator _Tp*
------------------
Returns the underlying object pointer. Thanks to the methods, the ``Ptr<_Tp>`` can be used instead
of ``_Tp*``.
.. ocv:function:: template<typename _Tp> Ptr::operator _Tp* ()
.. ocv:function:: template<typename _Tp> Ptr::operator const _Tp*() const
Mat
---
@@ -494,9 +580,9 @@ OpenCV C++ n-dimensional dense array class ::
The class ``Mat`` represents an n-dimensional dense numerical single-channel or multi-channel array. It can be used to store real or complex-valued vectors and matrices, grayscale or color images, voxel volumes, vector fields, point clouds, tensors, histograms (though, very high-dimensional histograms may be better stored in a ``SparseMat`` ). The data layout of the array
:math:`M` is defined by the array ``M.step[]`` , so that the address of element
:math:`(i_0,...,i_{M.dims-1})` , where
:math:`0\leq i_k<M.size[k]` , is computed as:
:math:`M` is defined by the array ``M.step[]``, so that the address of element
:math:`(i_0,...,i_{M.dims-1})`, where
:math:`0\leq i_k<M.size[k]`, is computed as:
.. math::
@@ -529,7 +615,7 @@ There are many different ways to create a ``Mat`` object. The most popular optio
..
As noted in the introduction to this chapter, ``create()`` allocates only a new array when the shape or type of the current array are different from the specified ones.
As noted in the introduction to this chapter, ``create()`` allocates only a new array when the shape or type of the current array are different from the specified ones.
*
@@ -543,7 +629,7 @@ There are many different ways to create a ``Mat`` object. The most popular optio
..
It passes the number of dimensions =1 to the ``Mat`` constructor but the created array will be 2-dimensional with the number of columns set to 1. So, ``Mat::dims`` is always >= 2 (can also be 0 when the array is empty).
It passes the number of dimensions =1 to the ``Mat`` constructor but the created array will be 2-dimensional with the number of columns set to 1. So, ``Mat::dims`` is always >= 2 (can also be 0 when the array is empty).
*
@@ -573,7 +659,7 @@ There are many different ways to create a ``Mat`` object. The most popular optio
..
Due to the additional ``datastart`` and ``dataend`` members, it is possible to compute a relative sub-array position in the main *container* array using ``locateROI()``:
Due to the additional ``datastart`` and ``dataend`` members, it is possible to compute a relative sub-array position in the main *container* array using ``locateROI()``:
::
@@ -589,7 +675,7 @@ There are many different ways to create a ``Mat`` object. The most popular optio
..
As in case of whole matrices, if you need a deep copy, use the ``clone()`` method of the extracted sub-matrices.
As in case of whole matrices, if you need a deep copy, use the ``clone()`` method of the extracted sub-matrices.
*
@@ -619,7 +705,7 @@ There are many different ways to create a ``Mat`` object. The most popular optio
..
Partial yet very common cases of this *user-allocated data* case are conversions from ``CvMat`` and ``IplImage`` to ``Mat``. For this purpose, there are special constructors taking pointers to ``CvMat`` or ``IplImage`` and the optional flag indicating whether to copy the data or not.
Partial yet very common cases of this *user-allocated data* case are conversions from ``CvMat`` and ``IplImage`` to ``Mat``. For this purpose, there are special constructors taking pointers to ``CvMat`` or ``IplImage`` and the optional flag indicating whether to copy the data or not.
Backward conversion from ``Mat`` to ``CvMat`` or ``IplImage`` is provided via cast operators ``Mat::operator CvMat() const`` and ``Mat::operator IplImage()``. The operators do NOT copy the data.
@@ -905,7 +991,7 @@ Provides matrix assignment operators.
:param m: Assigned, right-hand-side matrix. Matrix assignment is an O(1) operation. This means that no data is copied but the data is shared and the reference counter, if any, is incremented. Before assigning new data, the old data is de-referenced via :ocv:func:`Mat::release` .
:param expr: Assigned matrix expression object. As opposite to the first form of the assignment operation, the second form can reuse already allocated matrix if it has the right size and type to fit the matrix expression result. It is automatically handled by the real function that the matrix expressions is expanded to. For example, ``C=A+B`` is expanded to ``add(A, B, C)`` , and :func:`add` takes care of automatic ``C`` reallocation.
:param expr: Assigned matrix expression object. As opposite to the first form of the assignment operation, the second form can reuse already allocated matrix if it has the right size and type to fit the matrix expression result. It is automatically handled by the real function that the matrix expressions is expanded to. For example, ``C=A+B`` is expanded to ``add(A, B, C)``, and :func:`add` takes care of automatic ``C`` reallocation.
:param s: Scalar assigned to each matrix element. The matrix size or type is not changed.
@@ -970,7 +1056,7 @@ Creates a matrix header for the specified row span.
:param endrow: An exclusive 0-based ending index of the row span.
:param r: :ocv:class:`Range` structure containing both the start and the end indices.
:param r: :ocv:class:`Range` structure containing both the start and the end indices.
The method makes a new header for the specified row span of the matrix. Similarly to
:ocv:func:`Mat::row` and
@@ -1983,7 +2069,7 @@ The class ``SparseMat`` represents multi-dimensional sparse numerical arrays. Su
:ocv:class:`Mat` can store. *Sparse* means that only non-zero elements are stored (though, as a result of operations on a sparse matrix, some of its stored elements can actually become 0. It is up to you to detect such elements and delete them using ``SparseMat::erase`` ). The non-zero elements are stored in a hash table that grows when it is filled so that the search time is O(1) in average (regardless of whether element is there or not). Elements can be accessed using the following methods:
*
Query operations ( ``SparseMat::ptr`` and the higher-level ``SparseMat::ref``, ``SparseMat::value`` and ``SparseMat::find`` ), for example:
Query operations (``SparseMat::ptr`` and the higher-level ``SparseMat::ref``, ``SparseMat::value`` and ``SparseMat::find``), for example:
::
@@ -2001,7 +2087,7 @@ The class ``SparseMat`` represents multi-dimensional sparse numerical arrays. Su
..
*
Sparse matrix iterators. They are similar to ``MatIterator`` but different from :ocv:class:`NAryMatIterator`. That is, the iteration loop is familiar to STL users:
Sparse matrix iterators. They are similar to ``MatIterator`` but different from :ocv:class:`NAryMatIterator`. That is, the iteration loop is familiar to STL users:
::
@@ -2064,10 +2150,11 @@ SparseMat::SparseMat
Various SparseMat constructors.
.. ocv:function:: SparseMat::SparseMat()
.. ocv:function:: SparseMat::SparseMat(int dims, const int* _sizes, int _type)
.. ocv:function:: SparseMat::SparseMat(const SparseMat& m)
.. ocv:function:: SparseMat::SparseMat(const Mat& m, bool try1d=false)
.. ocv:function:: SparseMat::SparseMat(const CvSparseMat* m)
.. ocv:function:: SparseMat::SparseMat( int dims, const int* _sizes, int _type )
.. ocv:function:: SparseMat::SparseMat( const SparseMat& m )
.. ocv:function:: SparseMat::SparseMat( const Mat& m )
.. ocv:function:: SparseMat::SparseMat( const CvSparseMat* m )
:param m: Source matrix for copy constructor. If m is dense matrix (ocv:class:`Mat`) then it will be converted to sparse representation.
:param dims: Array dimensionality.
@@ -2081,12 +2168,12 @@ SparseMat object destructor.
.. ocv:function:: SparseMat::~SparseMat()
SparseMat::operator =
---------------------
SparseMat::operator=
--------------------
Provides sparse matrix assignment operators.
.. ocv:function:: SparseMat& SparseMat::operator=(const SparseMat& m)
.. ocv:function:: SparseMat& SparseMat::operator=(const Mat& m)
.. ocv:function:: SparseMat& SparseMat::operator = (const SparseMat& m)
.. ocv:function:: SparseMat& SparseMat::operator = (const Mat& m)
The last variant is equivalent to the corresponding constructor with try1d=false.
@@ -255,7 +255,7 @@ The function allocates the buffer of the specified size and returns it. When the
fastFree
------------
--------
Deallocates a memory buffer.
.. ocv:function:: void fastFree(void* ptr)
@@ -280,6 +280,14 @@ The function acts like ``sprintf`` but forms and returns an STL string. It can
:ocv:class:`Exception` constructor.
getBuildInformation
-------------------
Returns full configuration time cmake output.
.. ocv:function:: const std::string& getBuildInformation()
Returned value is raw cmake output including version control system revision, compiler version, compiler flags, enabled modules and third party libraries, etc. Output format depends on target architecture.
checkHardwareSupport
--------------------
@@ -303,13 +311,34 @@ Returns true if the specified feature is supported by the host hardware.
The function returns true if the host hardware supports the specified feature. When user calls ``setUseOptimized(false)``, the subsequent calls to ``checkHardwareSupport()`` will return false until ``setUseOptimized(true)`` is called. This way user can dynamically switch on and off the optimized code in OpenCV.
getNumberOfCPUs
-----------------
Returns the number of logical CPUs available for the process.
.. ocv:function:: int getNumberOfCPUs()
getNumThreads
-----------------
Returns the number of threads used by OpenCV.
Returns the number of threads used by OpenCV for parallel regions.
Always returns 1 if OpenCV is built without threading support.
.. ocv:function:: int getNumThreads()
The function returns the number of threads that is used by OpenCV.
The exact meaning of return value depends on the threading framework used by OpenCV library:
* **TBB** – The number of threads, that OpenCV will try to use for parallel regions.
If there is any ``tbb::thread_scheduler_init`` in user code conflicting with OpenCV, then
function returns default number of threads used by TBB library.
* **OpenMP** – An upper bound on the number of threads that could be used to form a new team.
* **Concurrency** – The number of threads, that OpenCV will try to use for parallel regions.
* **GCD** – Unsupported; returns the GCD thread pool limit (512) for compatibility.
* **C=** – The number of threads, that OpenCV will try to use for parallel regions,
if before called ``setNumThreads`` with ``threads > 0``,
otherwise returns the number of logical CPUs, available for the process.
.. seealso::
:ocv:func:`setNumThreads`,
@@ -319,20 +348,28 @@ The function returns the number of threads that is used by OpenCV.
getThreadNum
----------------
Returns the index of the currently executed thread.
Returns the index of the currently executed thread within the current parallel region.
Always returns 0 if called outside of parallel region.
.. ocv:function:: int getThreadNum()
The function returns a 0-based index of the currently executed thread. The function is only valid inside a parallel OpenMP region. When OpenCV is built without OpenMP support, the function always returns 0.
The exact meaning of return value depends on the threading framework used by OpenCV library:
* **TBB** – Unsupported with current 4.1 TBB release. May be will be supported in future.
* **OpenMP** – The thread number, within the current team, of the calling thread.
* **Concurrency** – An ID for the virtual processor that the current context is executing
on (0 for master thread and unique number for others, but not necessary 1,2,3,...).
* **GCD** – System calling thread's ID. Never returns 0 inside parallel region.
* **C=** – The index of the current parallel task.
.. seealso::
:ocv:func:`setNumThreads`,
:ocv:func:`getNumThreads` .
:ocv:func:`getNumThreads`
getTickCount
----------------
------------
Returns the number of ticks.
.. ocv:function:: int64 getTickCount()
@@ -346,7 +383,7 @@ It can be used to initialize
getTickFrequency
--------------------
----------------
Returns the number of ticks per second.
.. ocv:function:: double getTickFrequency()
@@ -363,7 +400,7 @@ That is, the following code computes the execution time in seconds: ::
getCPUTickCount
----------------
---------------
Returns the number of CPU ticks.
.. ocv:function:: int64 getCPUTickCount()
@@ -402,13 +439,25 @@ This operation is used in the simplest or most complex image processing function
setNumThreads
-----------------
Sets the number of threads used by OpenCV.
OpenCV will try to set the number of threads for the next parallel region.
If ``threads == 0``, OpenCV will disable threading optimizations and run all it's
functions sequentially. Passing ``threads < 0`` will reset threads number to system default.
This function must be called outside of parallel region.
.. ocv:function:: void setNumThreads(int nthreads)
:param nthreads: Number of threads used by OpenCV.
The function sets the number of threads used by OpenCV in parallel OpenMP regions. If ``nthreads=0`` , the function uses the default number of threads that is usually equal to the number of the processing cores.
OpenCV will try to run it's functions with specified threads number, but
some behaviour differs from framework:
* **TBB** – User-defined parallel constructions will run with the same threads number,
if another does not specified. If late on user creates own scheduler, OpenCV will be use it.
* **OpenMP** – No special defined behaviour.
* **Concurrency** – If ``threads == 1``, OpenCV will disable threading optimizations
and run it's functions sequentially.
* **GCD** – Supports only values <= 0.
* **C=** – No special defined behaviour.
.. seealso::
:ocv:func:`getNumThreads`,
@@ -417,7 +466,7 @@ The function sets the number of threads used by OpenCV in parallel OpenMP region
setUseOptimized
-----------------
---------------
Enables or disables the optimized code.
.. ocv:function:: int cvUseOptimized( int on_off )
@@ -433,7 +482,7 @@ The function can be used to dynamically turn on and off optimized code (code tha
By default, the optimized code is enabled unless you disable it in CMake. The current status can be retrieved using ``useOptimized``.
useOptimized
-----------------
------------
Returns the status of optimized code usage.
.. ocv:function:: bool useOptimized()
+50 -1
Ver Arquivo
@@ -90,10 +90,18 @@ class Mat;
class SparseMat;
typedef Mat MatND;
namespace ogl {
class Buffer;
class Texture2D;
class Arrays;
}
// < Deprecated
class GlBuffer;
class GlTexture;
class GlArrays;
class GlCamera;
// >
namespace gpu {
class GpuMat;
@@ -1327,15 +1335,23 @@ public:
template<typename _Tp, int m, int n> _InputArray(const Matx<_Tp, m, n>& matx);
_InputArray(const Scalar& s);
_InputArray(const double& val);
// < Deprecated
_InputArray(const GlBuffer& buf);
_InputArray(const GlTexture& tex);
// >
_InputArray(const gpu::GpuMat& d_mat);
_InputArray(const ogl::Buffer& buf);
_InputArray(const ogl::Texture2D& tex);
virtual Mat getMat(int i=-1) const;
virtual void getMatVector(vector<Mat>& mv) const;
// < Deprecated
virtual GlBuffer getGlBuffer() const;
virtual GlTexture getGlTexture() const;
// >
virtual gpu::GpuMat getGpuMat() const;
/*virtual*/ ogl::Buffer getOGlBuffer() const;
/*virtual*/ ogl::Texture2D getOGlTexture2D() const;
virtual int kind() const;
virtual Size size(int i=-1) const;
@@ -1387,6 +1403,8 @@ public:
template<typename _Tp, int m, int n> _OutputArray(Matx<_Tp, m, n>& matx);
template<typename _Tp> _OutputArray(_Tp* vec, int n);
_OutputArray(gpu::GpuMat& d_mat);
_OutputArray(ogl::Buffer& buf);
_OutputArray(ogl::Texture2D& tex);
_OutputArray(const Mat& m);
template<typename _Tp> _OutputArray(const vector<_Tp>& vec);
@@ -1397,12 +1415,16 @@ public:
template<typename _Tp, int m, int n> _OutputArray(const Matx<_Tp, m, n>& matx);
template<typename _Tp> _OutputArray(const _Tp* vec, int n);
_OutputArray(const gpu::GpuMat& d_mat);
_OutputArray(const ogl::Buffer& buf);
_OutputArray(const ogl::Texture2D& tex);
virtual bool fixedSize() const;
virtual bool fixedType() const;
virtual bool needed() const;
virtual Mat& getMatRef(int i=-1) const;
/*virtual*/ gpu::GpuMat& getGpuMatRef() const;
/*virtual*/ ogl::Buffer& getOGlBufferRef() const;
/*virtual*/ ogl::Texture2D& getOGlTexture2DRef() const;
virtual void create(Size sz, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
virtual void create(int rows, int cols, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
virtual void create(int dims, const int* size, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const;
@@ -4457,6 +4479,26 @@ public:
Ptr<Algorithm> (Algorithm::*getter)()=0,
void (Algorithm::*setter)(const Ptr<Algorithm>&)=0,
const string& help=string());
void addParam(Algorithm& algo, const char* name,
float& value, bool readOnly=false,
float (Algorithm::*getter)()=0,
void (Algorithm::*setter)(float)=0,
const string& help=string());
void addParam(Algorithm& algo, const char* name,
unsigned int& value, bool readOnly=false,
unsigned int (Algorithm::*getter)()=0,
void (Algorithm::*setter)(unsigned int)=0,
const string& help=string());
void addParam(Algorithm& algo, const char* name,
uint64& value, bool readOnly=false,
uint64 (Algorithm::*getter)()=0,
void (Algorithm::*setter)(uint64)=0,
const string& help=string());
void addParam(Algorithm& algo, const char* name,
uchar& value, bool readOnly=false,
uchar (Algorithm::*getter)()=0,
void (Algorithm::*setter)(uchar)=0,
const string& help=string());
template<typename _Tp, typename _Base> void addParam(Algorithm& algo, const char* name,
Ptr<_Tp>& value, bool readOnly=false,
Ptr<_Tp> (Algorithm::*getter)()=0,
@@ -4476,7 +4518,7 @@ protected:
struct CV_EXPORTS Param
{
enum { INT=0, BOOLEAN=1, REAL=2, STRING=3, MAT=4, MAT_VECTOR=5, ALGORITHM=6, FLOAT=7, UNSIGNED_INT=8, UINT64=9, SHORT=10 };
enum { INT=0, BOOLEAN=1, REAL=2, STRING=3, MAT=4, MAT_VECTOR=5, ALGORITHM=6, FLOAT=7, UNSIGNED_INT=8, UINT64=9, SHORT=10, UCHAR=11 };
Param();
Param(int _type, bool _readonly, int _offset,
@@ -4579,6 +4621,13 @@ template<> struct ParamType<uint64>
enum { type = Param::UINT64 };
};
template<> struct ParamType<uchar>
{
typedef uchar const_param_type;
typedef uchar member_type;
enum { type = Param::UCHAR };
};
/*!
"\nThe CommandLineParser class is designed for command line arguments parsing\n"
+8 -25
Ver Arquivo
@@ -73,12 +73,16 @@ namespace cv { namespace gpu
FEATURE_SET_COMPUTE_20 = 20,
FEATURE_SET_COMPUTE_21 = 21,
FEATURE_SET_COMPUTE_30 = 30,
FEATURE_SET_COMPUTE_35 = 35,
GLOBAL_ATOMICS = FEATURE_SET_COMPUTE_11,
SHARED_ATOMICS = FEATURE_SET_COMPUTE_12,
NATIVE_DOUBLE = FEATURE_SET_COMPUTE_13,
WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30
WARP_SHUFFLE_FUNCTIONS = FEATURE_SET_COMPUTE_30,
DYNAMIC_PARALLELISM = FEATURE_SET_COMPUTE_35
};
// Checks whether current device supports the given feature
CV_EXPORTS bool deviceSupports(FeatureSet feature_set);
// Gives information about what GPU archs this OpenCV GPU module was
@@ -116,6 +120,9 @@ namespace cv { namespace gpu
int multiProcessorCount() const { return multi_processor_count_; }
size_t sharedMemPerBlock() const;
void queryMemory(size_t& totalMemory, size_t& freeMemory) const;
size_t freeMemory() const;
size_t totalMemory() const;
@@ -129,7 +136,6 @@ namespace cv { namespace gpu
private:
void query();
void queryMemory(size_t& free_memory, size_t& total_memory) const;
int device_id_;
@@ -549,29 +555,6 @@ namespace cv { namespace gpu
{
ensureSizeIsEnough(size.height, size.width, type, m);
}
inline void createContinuous(int rows, int cols, int type, GpuMat& m)
{
int area = rows * cols;
if (!m.isContinuous() || m.type() != type || m.size().area() != area)
ensureSizeIsEnough(1, area, type, m);
m = m.reshape(0, rows);
}
inline void ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m)
{
if (m.type() == type && m.rows >= rows && m.cols >= cols)
m = m(Rect(0, 0, cols, rows));
else
m.create(rows, cols, type);
}
inline GpuMat allocMatFromBuf(int rows, int cols, int type, GpuMat &mat)
{
if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
return mat(Rect(0, 0, cols, rows));
return mat = GpuMat(rows, cols, type);
}
}}
#endif // __cplusplus
+11 -3
Ver Arquivo
@@ -751,7 +751,9 @@ typedef struct CvBigFuncTable
(tab).fn_2d[CV_64F] = (void*)FUNCNAME##_64f##FLAG
#ifdef __cplusplus
//! OpenGL extension table
// < Deprecated
class CV_EXPORTS CvOpenGlFuncTab
{
public:
@@ -777,10 +779,16 @@ CV_EXPORTS void icvSetOpenGlFuncTab(const CvOpenGlFuncTab* tab);
CV_EXPORTS bool icvCheckGlError(const char* file, const int line, const char* func = "");
// >
namespace cv { namespace ogl {
CV_EXPORTS bool checkError(const char* file, const int line, const char* func = "");
}}
#if defined(__GNUC__)
#define CV_CheckGlError() CV_DbgAssert( (::icvCheckGlError(__FILE__, __LINE__, __func__)) )
#define CV_CheckGlError() CV_DbgAssert( (cv::ogl::checkError(__FILE__, __LINE__, __func__)) )
#else
#define CV_CheckGlError() CV_DbgAssert( (::icvCheckGlError(__FILE__, __LINE__)) )
#define CV_CheckGlError() CV_DbgAssert( (cv::ogl::checkError(__FILE__, __LINE__)) )
#endif
#endif //__cplusplus
+148 -199
Ver Arquivo
@@ -46,289 +46,238 @@
#ifdef __cplusplus
#include "opencv2/core/core.hpp"
#include "opencv2/core/opengl_interop_deprecated.hpp"
namespace cv { namespace ogl {
/////////////////// OpenGL Objects ///////////////////
namespace cv
{
//! Smart pointer for OpenGL buffer memory with reference counting.
class CV_EXPORTS GlBuffer
class CV_EXPORTS Buffer
{
public:
enum Usage
enum Target
{
ARRAY_BUFFER = 0x8892, // buffer will use for OpenGL arrays (vertices, colors, normals, etc)
TEXTURE_BUFFER = 0x88EC // buffer will ise for OpenGL textures
ARRAY_BUFFER = 0x8892, //!< The buffer will be used as a source for vertex data
ELEMENT_ARRAY_BUFFER = 0x8893, //!< The buffer will be used for indices (in glDrawElements, for example)
PIXEL_PACK_BUFFER = 0x88EB, //!< The buffer will be used for reading from OpenGL textures
PIXEL_UNPACK_BUFFER = 0x88EC //!< The buffer will be used for writing to OpenGL textures
};
enum Access
{
READ_ONLY = 0x88B8,
WRITE_ONLY = 0x88B9,
READ_WRITE = 0x88BA
};
//! create empty buffer
explicit GlBuffer(Usage usage);
Buffer();
//! create buffer from existed buffer id
Buffer(int arows, int acols, int atype, unsigned int abufId, bool autoRelease = false);
Buffer(Size asize, int atype, unsigned int abufId, bool autoRelease = false);
//! create buffer
GlBuffer(int rows, int cols, int type, Usage usage);
GlBuffer(Size size, int type, Usage usage);
Buffer(int arows, int acols, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false);
Buffer(Size asize, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false);
//! copy from host/device memory
GlBuffer(InputArray mat, Usage usage);
explicit Buffer(InputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false);
void create(int rows, int cols, int type, Usage usage);
void create(Size size, int type, Usage usage);
void create(int rows, int cols, int type);
void create(Size size, int type);
//! create buffer
void create(int arows, int acols, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false);
void create(Size asize, int atype, Target target = ARRAY_BUFFER, bool autoRelease = false) { create(asize.height, asize.width, atype, target, autoRelease); }
//! release memory and delete buffer object
void release();
//! copy from host/device memory
void copyFrom(InputArray mat);
//! set auto release mode (if true, release will be called in object's destructor)
void setAutoRelease(bool flag);
void bind() const;
void unbind() const;
//! copy from host/device memory
void copyFrom(InputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false);
//! copy to host/device memory
void copyTo(OutputArray arr, Target target = ARRAY_BUFFER, bool autoRelease = false) const;
//! create copy of current buffer
Buffer clone(Target target = ARRAY_BUFFER, bool autoRelease = false) const;
//! bind buffer for specified target
void bind(Target target) const;
//! unbind any buffers from specified target
static void unbind(Target target);
//! map to host memory
Mat mapHost();
Mat mapHost(Access access);
void unmapHost();
//! map to device memory
gpu::GpuMat mapDevice();
void unmapDevice();
inline int rows() const { return rows_; }
inline int cols() const { return cols_; }
inline Size size() const { return Size(cols_, rows_); }
inline bool empty() const { return rows_ == 0 || cols_ == 0; }
int rows() const { return rows_; }
int cols() const { return cols_; }
Size size() const { return Size(cols_, rows_); }
bool empty() const { return rows_ == 0 || cols_ == 0; }
inline int type() const { return type_; }
inline int depth() const { return CV_MAT_DEPTH(type_); }
inline int channels() const { return CV_MAT_CN(type_); }
inline int elemSize() const { return CV_ELEM_SIZE(type_); }
inline int elemSize1() const { return CV_ELEM_SIZE1(type_); }
int type() const { return type_; }
int depth() const { return CV_MAT_DEPTH(type_); }
int channels() const { return CV_MAT_CN(type_); }
int elemSize() const { return CV_ELEM_SIZE(type_); }
int elemSize1() const { return CV_ELEM_SIZE1(type_); }
inline Usage usage() const { return usage_; }
unsigned int bufId() const;
class Impl;
private:
Ptr<Impl> impl_;
int rows_;
int cols_;
int type_;
Usage usage_;
Ptr<Impl> impl_;
};
template <> CV_EXPORTS void Ptr<GlBuffer::Impl>::delete_obj();
//! Smart pointer for OpenGL 2d texture memory with reference counting.
class CV_EXPORTS GlTexture
//! Smart pointer for OpenGL 2D texture memory with reference counting.
class CV_EXPORTS Texture2D
{
public:
enum Format
{
NONE = 0,
DEPTH_COMPONENT = 0x1902, //!< Depth
RGB = 0x1907, //!< Red, Green, Blue
RGBA = 0x1908 //!< Red, Green, Blue, Alpha
};
//! create empty texture
GlTexture();
Texture2D();
//! create texture from existed texture id
Texture2D(int arows, int acols, Format aformat, unsigned int atexId, bool autoRelease = false);
Texture2D(Size asize, Format aformat, unsigned int atexId, bool autoRelease = false);
//! create texture
GlTexture(int rows, int cols, int type);
GlTexture(Size size, int type);
Texture2D(int arows, int acols, Format aformat, bool autoRelease = false);
Texture2D(Size asize, Format aformat, bool autoRelease = false);
//! copy from host/device memory
explicit GlTexture(InputArray mat, bool bgra = true);
explicit Texture2D(InputArray arr, bool autoRelease = false);
void create(int rows, int cols, int type);
void create(Size size, int type);
//! create texture
void create(int arows, int acols, Format aformat, bool autoRelease = false);
void create(Size asize, Format aformat, bool autoRelease = false) { create(asize.height, asize.width, aformat, autoRelease); }
//! release memory and delete texture object
void release();
//! set auto release mode (if true, release will be called in object's destructor)
void setAutoRelease(bool flag);
//! copy from host/device memory
void copyFrom(InputArray mat, bool bgra = true);
void copyFrom(InputArray arr, bool autoRelease = false);
//! copy to host/device memory
void copyTo(OutputArray arr, int ddepth = CV_32F, bool autoRelease = false) const;
//! bind texture to current active texture unit for GL_TEXTURE_2D target
void bind() const;
void unbind() const;
inline int rows() const { return rows_; }
inline int cols() const { return cols_; }
inline Size size() const { return Size(cols_, rows_); }
inline bool empty() const { return rows_ == 0 || cols_ == 0; }
int rows() const { return rows_; }
int cols() const { return cols_; }
Size size() const { return Size(cols_, rows_); }
bool empty() const { return rows_ == 0 || cols_ == 0; }
inline int type() const { return type_; }
inline int depth() const { return CV_MAT_DEPTH(type_); }
inline int channels() const { return CV_MAT_CN(type_); }
inline int elemSize() const { return CV_ELEM_SIZE(type_); }
inline int elemSize1() const { return CV_ELEM_SIZE1(type_); }
Format format() const { return format_; }
unsigned int texId() const;
class Impl;
private:
Ptr<Impl> impl_;
int rows_;
int cols_;
int type_;
Ptr<Impl> impl_;
GlBuffer buf_;
Format format_;
};
template <> CV_EXPORTS void Ptr<GlTexture::Impl>::delete_obj();
//! OpenGL Arrays
class CV_EXPORTS GlArrays
class CV_EXPORTS Arrays
{
public:
inline GlArrays()
: vertex_(GlBuffer::ARRAY_BUFFER), color_(GlBuffer::ARRAY_BUFFER), bgra_(true), normal_(GlBuffer::ARRAY_BUFFER), texCoord_(GlBuffer::ARRAY_BUFFER)
{
}
Arrays();
void setVertexArray(InputArray vertex);
inline void resetVertexArray() { vertex_.release(); }
void resetVertexArray();
void setColorArray(InputArray color, bool bgra = true);
inline void resetColorArray() { color_.release(); }
void setColorArray(InputArray color);
void resetColorArray();
void setNormalArray(InputArray normal);
inline void resetNormalArray() { normal_.release(); }
void resetNormalArray();
void setTexCoordArray(InputArray texCoord);
inline void resetTexCoordArray() { texCoord_.release(); }
void resetTexCoordArray();
void release();
void setAutoRelease(bool flag);
void bind() const;
void unbind() const;
inline int rows() const { return vertex_.rows(); }
inline int cols() const { return vertex_.cols(); }
inline Size size() const { return vertex_.size(); }
inline bool empty() const { return vertex_.empty(); }
int size() const { return size_; }
bool empty() const { return size_ == 0; }
private:
GlBuffer vertex_;
GlBuffer color_;
bool bgra_;
GlBuffer normal_;
GlBuffer texCoord_;
int size_;
Buffer vertex_;
Buffer color_;
Buffer normal_;
Buffer texCoord_;
};
//! OpenGL Font
class CV_EXPORTS GlFont
{
public:
enum Weight
{
WEIGHT_LIGHT = 300,
WEIGHT_NORMAL = 400,
WEIGHT_SEMIBOLD = 600,
WEIGHT_BOLD = 700,
WEIGHT_BLACK = 900
};
enum Style
{
STYLE_NORMAL = 0,
STYLE_ITALIC = 1,
STYLE_UNDERLINE = 2
};
static Ptr<GlFont> get(const std::string& family, int height = 12, Weight weight = WEIGHT_NORMAL, Style style = STYLE_NORMAL);
void draw(const char* str, int len) const;
inline const std::string& family() const { return family_; }
inline int height() const { return height_; }
inline Weight weight() const { return weight_; }
inline Style style() const { return style_; }
private:
GlFont(const std::string& family, int height, Weight weight, Style style);
std::string family_;
int height_;
Weight weight_;
Style style_;
unsigned int base_;
GlFont(const GlFont&);
GlFont& operator =(const GlFont&);
};
//! render functions
/////////////////// Render Functions ///////////////////
//! render texture rectangle in window
CV_EXPORTS void render(const GlTexture& tex,
CV_EXPORTS void render(const Texture2D& tex,
Rect_<double> wndRect = Rect_<double>(0.0, 0.0, 1.0, 1.0),
Rect_<double> texRect = Rect_<double>(0.0, 0.0, 1.0, 1.0));
//! render mode
namespace RenderMode {
enum {
POINTS = 0x0000,
LINES = 0x0001,
LINE_LOOP = 0x0002,
LINE_STRIP = 0x0003,
TRIANGLES = 0x0004,
TRIANGLE_STRIP = 0x0005,
TRIANGLE_FAN = 0x0006,
QUADS = 0x0007,
QUAD_STRIP = 0x0008,
POLYGON = 0x0009
};
}
//! render OpenGL arrays
CV_EXPORTS void render(const GlArrays& arr, int mode = RenderMode::POINTS, Scalar color = Scalar::all(255));
CV_EXPORTS void render(const std::string& str, const Ptr<GlFont>& font, Scalar color, Point2d pos);
//! OpenGL camera
class CV_EXPORTS GlCamera
{
public:
GlCamera();
void lookAt(Point3d eye, Point3d center, Point3d up);
void setCameraPos(Point3d pos, double yaw, double pitch, double roll);
void setScale(Point3d scale);
void setProjectionMatrix(const Mat& projectionMatrix, bool transpose = true);
void setPerspectiveProjection(double fov, double aspect, double zNear, double zFar);
void setOrthoProjection(double left, double right, double bottom, double top, double zNear, double zFar);
void setupProjectionMatrix() const;
void setupModelViewMatrix() const;
private:
Point3d eye_;
Point3d center_;
Point3d up_;
Point3d pos_;
double yaw_;
double pitch_;
double roll_;
bool useLookAtParams_;
Point3d scale_;
Mat projectionMatrix_;
double fov_;
double aspect_;
double left_;
double right_;
double bottom_;
double top_;
double zNear_;
double zFar_;
bool perspectiveProjection_;
enum {
POINTS = 0x0000,
LINES = 0x0001,
LINE_LOOP = 0x0002,
LINE_STRIP = 0x0003,
TRIANGLES = 0x0004,
TRIANGLE_STRIP = 0x0005,
TRIANGLE_FAN = 0x0006,
QUADS = 0x0007,
QUAD_STRIP = 0x0008,
POLYGON = 0x0009
};
inline void GlBuffer::create(Size _size, int _type, Usage _usage) { create(_size.height, _size.width, _type, _usage); }
inline void GlBuffer::create(int _rows, int _cols, int _type) { create(_rows, _cols, _type, usage()); }
inline void GlBuffer::create(Size _size, int _type) { create(_size.height, _size.width, _type, usage()); }
inline void GlTexture::create(Size _size, int _type) { create(_size.height, _size.width, _type); }
//! render OpenGL arrays
CV_EXPORTS void render(const Arrays& arr, int mode = POINTS, Scalar color = Scalar::all(255));
CV_EXPORTS void render(const Arrays& arr, InputArray indices, int mode = POINTS, Scalar color = Scalar::all(255));
}} // namespace cv::gl
namespace cv { namespace gpu {
//! set a CUDA device to use OpenGL interoperability
CV_EXPORTS void setGlDevice(int device = 0);
}}
namespace cv {
template <> CV_EXPORTS void Ptr<cv::ogl::Buffer::Impl>::delete_obj();
template <> CV_EXPORTS void Ptr<cv::ogl::Texture2D::Impl>::delete_obj();
namespace gpu
{
//! set a CUDA device to use OpenGL interoperability
CV_EXPORTS void setGlDevice(int device = 0);
}
} // namespace cv
#endif // __cplusplus
@@ -0,0 +1,330 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other GpuMaterials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__
#define __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__
#ifdef __cplusplus
#include "opencv2/core/core.hpp"
namespace cv
{
//! Smart pointer for OpenGL buffer memory with reference counting.
class CV_EXPORTS GlBuffer
{
public:
enum Usage
{
ARRAY_BUFFER = 0x8892, // buffer will use for OpenGL arrays (vertices, colors, normals, etc)
TEXTURE_BUFFER = 0x88EC // buffer will ise for OpenGL textures
};
//! create empty buffer
explicit GlBuffer(Usage usage);
//! create buffer
GlBuffer(int rows, int cols, int type, Usage usage);
GlBuffer(Size size, int type, Usage usage);
//! copy from host/device memory
GlBuffer(InputArray mat, Usage usage);
void create(int rows, int cols, int type, Usage usage);
void create(Size size, int type, Usage usage);
void create(int rows, int cols, int type);
void create(Size size, int type);
void release();
//! copy from host/device memory
void copyFrom(InputArray mat);
void bind() const;
void unbind() const;
//! map to host memory
Mat mapHost();
void unmapHost();
//! map to device memory
gpu::GpuMat mapDevice();
void unmapDevice();
inline int rows() const { return rows_; }
inline int cols() const { return cols_; }
inline Size size() const { return Size(cols_, rows_); }
inline bool empty() const { return rows_ == 0 || cols_ == 0; }
inline int type() const { return type_; }
inline int depth() const { return CV_MAT_DEPTH(type_); }
inline int channels() const { return CV_MAT_CN(type_); }
inline int elemSize() const { return CV_ELEM_SIZE(type_); }
inline int elemSize1() const { return CV_ELEM_SIZE1(type_); }
inline Usage usage() const { return usage_; }
class Impl;
private:
int rows_;
int cols_;
int type_;
Usage usage_;
Ptr<Impl> impl_;
};
template <> CV_EXPORTS void Ptr<GlBuffer::Impl>::delete_obj();
//! Smart pointer for OpenGL 2d texture memory with reference counting.
class CV_EXPORTS GlTexture
{
public:
//! create empty texture
GlTexture();
//! create texture
GlTexture(int rows, int cols, int type);
GlTexture(Size size, int type);
//! copy from host/device memory
explicit GlTexture(InputArray mat, bool bgra = true);
void create(int rows, int cols, int type);
void create(Size size, int type);
void release();
//! copy from host/device memory
void copyFrom(InputArray mat, bool bgra = true);
void bind() const;
void unbind() const;
inline int rows() const { return rows_; }
inline int cols() const { return cols_; }
inline Size size() const { return Size(cols_, rows_); }
inline bool empty() const { return rows_ == 0 || cols_ == 0; }
inline int type() const { return type_; }
inline int depth() const { return CV_MAT_DEPTH(type_); }
inline int channels() const { return CV_MAT_CN(type_); }
inline int elemSize() const { return CV_ELEM_SIZE(type_); }
inline int elemSize1() const { return CV_ELEM_SIZE1(type_); }
class Impl;
private:
int rows_;
int cols_;
int type_;
Ptr<Impl> impl_;
GlBuffer buf_;
};
template <> CV_EXPORTS void Ptr<GlTexture::Impl>::delete_obj();
//! OpenGL Arrays
class CV_EXPORTS GlArrays
{
public:
inline GlArrays()
: vertex_(GlBuffer::ARRAY_BUFFER), color_(GlBuffer::ARRAY_BUFFER), bgra_(true), normal_(GlBuffer::ARRAY_BUFFER), texCoord_(GlBuffer::ARRAY_BUFFER)
{
}
void setVertexArray(InputArray vertex);
inline void resetVertexArray() { vertex_.release(); }
void setColorArray(InputArray color, bool bgra = true);
inline void resetColorArray() { color_.release(); }
void setNormalArray(InputArray normal);
inline void resetNormalArray() { normal_.release(); }
void setTexCoordArray(InputArray texCoord);
inline void resetTexCoordArray() { texCoord_.release(); }
void bind() const;
void unbind() const;
inline int rows() const { return vertex_.rows(); }
inline int cols() const { return vertex_.cols(); }
inline Size size() const { return vertex_.size(); }
inline bool empty() const { return vertex_.empty(); }
private:
GlBuffer vertex_;
GlBuffer color_;
bool bgra_;
GlBuffer normal_;
GlBuffer texCoord_;
};
//! OpenGL Font
class CV_EXPORTS GlFont
{
public:
enum Weight
{
WEIGHT_LIGHT = 300,
WEIGHT_NORMAL = 400,
WEIGHT_SEMIBOLD = 600,
WEIGHT_BOLD = 700,
WEIGHT_BLACK = 900
};
enum Style
{
STYLE_NORMAL = 0,
STYLE_ITALIC = 1,
STYLE_UNDERLINE = 2
};
static Ptr<GlFont> get(const std::string& family, int height = 12, Weight weight = WEIGHT_NORMAL, Style style = STYLE_NORMAL);
void draw(const char* str, int len) const;
inline const std::string& family() const { return family_; }
inline int height() const { return height_; }
inline Weight weight() const { return weight_; }
inline Style style() const { return style_; }
private:
GlFont(const std::string& family, int height, Weight weight, Style style);
std::string family_;
int height_;
Weight weight_;
Style style_;
unsigned int base_;
GlFont(const GlFont&);
GlFont& operator =(const GlFont&);
};
//! render functions
//! render texture rectangle in window
CV_EXPORTS void render(const GlTexture& tex,
Rect_<double> wndRect = Rect_<double>(0.0, 0.0, 1.0, 1.0),
Rect_<double> texRect = Rect_<double>(0.0, 0.0, 1.0, 1.0));
//! render mode
namespace RenderMode {
enum {
POINTS = 0x0000,
LINES = 0x0001,
LINE_LOOP = 0x0002,
LINE_STRIP = 0x0003,
TRIANGLES = 0x0004,
TRIANGLE_STRIP = 0x0005,
TRIANGLE_FAN = 0x0006,
QUADS = 0x0007,
QUAD_STRIP = 0x0008,
POLYGON = 0x0009
};
}
//! render OpenGL arrays
CV_EXPORTS void render(const GlArrays& arr, int mode = RenderMode::POINTS, Scalar color = Scalar::all(255));
CV_EXPORTS void render(const std::string& str, const Ptr<GlFont>& font, Scalar color, Point2d pos);
//! OpenGL camera
class CV_EXPORTS GlCamera
{
public:
GlCamera();
void lookAt(Point3d eye, Point3d center, Point3d up);
void setCameraPos(Point3d pos, double yaw, double pitch, double roll);
void setScale(Point3d scale);
void setProjectionMatrix(const Mat& projectionMatrix, bool transpose = true);
void setPerspectiveProjection(double fov, double aspect, double zNear, double zFar);
void setOrthoProjection(double left, double right, double bottom, double top, double zNear, double zFar);
void setupProjectionMatrix() const;
void setupModelViewMatrix() const;
private:
Point3d eye_;
Point3d center_;
Point3d up_;
Point3d pos_;
double yaw_;
double pitch_;
double roll_;
bool useLookAtParams_;
Point3d scale_;
Mat projectionMatrix_;
double fov_;
double aspect_;
double left_;
double right_;
double bottom_;
double top_;
double zNear_;
double zFar_;
bool perspectiveProjection_;
};
inline void GlBuffer::create(Size _size, int _type, Usage _usage) { create(_size.height, _size.width, _type, _usage); }
inline void GlBuffer::create(int _rows, int _cols, int _type) { create(_rows, _cols, _type, usage()); }
inline void GlBuffer::create(Size _size, int _type) { create(_size.height, _size.width, _type, usage()); }
inline void GlTexture::create(Size _size, int _type) { create(_size.height, _size.width, _type); }
} // namespace cv
#endif // __cplusplus
#endif // __OPENCV_OPENGL_INTEROP_DEPRECATED_HPP__
+2 -1
Ver Arquivo
@@ -52,7 +52,8 @@ PERF_TEST_P( Size_MatType_CmpType, compareScalar,
declare.in(src1, src2, WARMUP_RNG).out(dst);
TEST_CYCLE() cv::compare(src1, src2, dst, cmpType);
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) cv::compare(src1, src2, dst, cmpType);
SANITY_CHECK(dst);
}
+2 -2
Ver Arquivo
@@ -29,9 +29,9 @@ PERF_TEST_P( Size_DepthSrc_DepthDst_Channels_alpha, convertTo,
Mat src(sz, CV_MAKETYPE(depthSrc, channels));
randu(src, 0, 255);
Mat dst(sz, CV_MAKETYPE(depthDst, channels));
declare.iterations(500);
TEST_CYCLE() src.convertTo(dst, depthDst, alpha);
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) src.convertTo(dst, depthDst, alpha);
SANITY_CHECK(dst, alpha == 1.0 ? 1e-12 : 1e-7);
}
+4 -2
Ver Arquivo
@@ -18,7 +18,8 @@ PERF_TEST_P(Size_MatType, Mat_Eye,
declare.out(diagonalMatrix);
TEST_CYCLE()
int runs = (size.width <= 640) ? 15 : 5;
TEST_CYCLE_MULTIRUN(runs)
{
diagonalMatrix = Mat::eye(size, type);
}
@@ -38,7 +39,8 @@ PERF_TEST_P(Size_MatType, Mat_Zeros,
declare.out(zeroMatrix);
TEST_CYCLE()
int runs = (size.width <= 640) ? 15 : 5;
TEST_CYCLE_MULTIRUN(runs)
{
zeroMatrix = Mat::zeros(size, type);
}
+2 -1
Ver Arquivo
@@ -30,7 +30,8 @@ PERF_TEST_P( Size_SrcDepth_DstChannels, merge,
}
Mat dst;
TEST_CYCLE() merge( (vector<Mat> &)mv, dst );
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) merge( (vector<Mat> &)mv, dst );
SANITY_CHECK(dst, 1e-12);
}
+2 -2
Ver Arquivo
@@ -26,8 +26,8 @@ PERF_TEST_P( Size_Depth_Channels, split,
randu(m, 0, 255);
vector<Mat> mv;
TEST_CYCLE() split(m, (vector<Mat>&)mv);
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) split(m, (vector<Mat>&)mv);
SANITY_CHECK(mv, 1e-12);
}
+2 -1
Ver Arquivo
@@ -97,7 +97,8 @@ PERF_TEST_P(Size_MatType, countNonZero, testing::Combine( testing::Values( TYPIC
declare.in(src, WARMUP_RNG);
TEST_CYCLE() cnt = countNonZero(src);
int runs = (sz.width <= 640) ? 8 : 1;
TEST_CYCLE_MULTIRUN(runs) cnt = countNonZero(src);
SANITY_CHECK(cnt);
}
+353 -22
Ver Arquivo
@@ -324,6 +324,7 @@ void Algorithm::setAlgorithm(const char* parameter, const Ptr<Algorithm>& value)
int Algorithm::getInt(const string& parameter) const
{
return get<int>(parameter);
@@ -431,6 +432,14 @@ void AlgorithmInfo::write(const Algorithm* algo, FileStorage& fs) const
Ptr<Algorithm> nestedAlgo = algo->get<Algorithm>(pname);
nestedAlgo->write(fs);
}
else if( p.type == Param::FLOAT)
cv::write(fs, pname, algo->getDouble(pname));
else if( p.type == Param::UNSIGNED_INT)
cv::write(fs, pname, algo->getInt(pname));//TODO: implement cv::write(, , unsigned int)
else if( p.type == Param::UINT64)
cv::write(fs, pname, algo->getInt(pname));//TODO: implement cv::write(, , uint64)
else if( p.type == Param::UCHAR)
cv::write(fs, pname, algo->getInt(pname));
else
{
string msg = format("unknown/unsupported type of '%s' parameter == %d", pname.c_str(), p.type);
@@ -490,6 +499,26 @@ void AlgorithmInfo::read(Algorithm* algo, const FileNode& fn) const
nestedAlgo->read(n);
info->set(algo, pname.c_str(), p.type, &nestedAlgo, true);
}
else if( p.type == Param::FLOAT )
{
float val = (float)n;
info->set(algo, pname.c_str(), p.type, &val, true);
}
else if( p.type == Param::UNSIGNED_INT )
{
unsigned int val = (unsigned int)((int)n);//TODO: implement conversion (unsigned int)FileNode
info->set(algo, pname.c_str(), p.type, &val, true);
}
else if( p.type == Param::UINT64)
{
uint64 val = (uint64)((int)n);//TODO: implement conversion (uint64)FileNode
info->set(algo, pname.c_str(), p.type, &val, true);
}
else if( p.type == Param::UCHAR)
{
uchar val = (uchar)((int)n);
info->set(algo, pname.c_str(), p.type, &val, true);
}
else
{
string msg = format("unknown/unsupported type of '%s' parameter == %d", pname.c_str(), p.type);
@@ -512,6 +541,10 @@ union GetSetParam
Mat (Algorithm::*get_mat)() const;
vector<Mat> (Algorithm::*get_mat_vector)() const;
Ptr<Algorithm> (Algorithm::*get_algo)() const;
float (Algorithm::*get_float)() const;
unsigned int (Algorithm::*get_uint)() const;
uint64 (Algorithm::*get_uint64)() const;
uchar (Algorithm::*get_uchar)() const;
void (Algorithm::*set_int)(int);
void (Algorithm::*set_bool)(bool);
@@ -520,6 +553,10 @@ union GetSetParam
void (Algorithm::*set_mat)(const Mat&);
void (Algorithm::*set_mat_vector)(const vector<Mat>&);
void (Algorithm::*set_algo)(const Ptr<Algorithm>&);
void (Algorithm::*set_float)(float);
void (Algorithm::*set_uint)(unsigned int);
void (Algorithm::*set_uint64)(uint64);
void (Algorithm::*set_uchar)(uchar);
};
static string getNameOfType(int argType);
@@ -536,6 +573,10 @@ static string getNameOfType(int argType)
case Param::MAT: return "cv::Mat";
case Param::MAT_VECTOR: return "std::vector<cv::Mat>";
case Param::ALGORITHM: return "algorithm";
case Param::FLOAT: return "float";
case Param::UNSIGNED_INT: return "unsigned int";
case Param::UINT64: return "unsigned int64";
case Param::UCHAR: return "unsigned char";
default: CV_Error(CV_StsBadArg, "Wrong argument type");
}
return "";
@@ -547,9 +588,10 @@ static string getErrorMessageForWrongArgumentInSetter(string algoName, string pa
+ " method was called for the parameter '" + paramName + "' of the algorithm '" + algoName
+"', the parameter has " + getNameOfType(paramType) + " type, ";
if (paramType == Param::INT || paramType == Param::BOOLEAN || paramType == Param::REAL)
if (paramType == Param::INT || paramType == Param::BOOLEAN || paramType == Param::REAL
|| paramType == Param::FLOAT || paramType == Param::UNSIGNED_INT || paramType == Param::UINT64 || paramType == Param::UCHAR)
{
message += "so it should be set by integer, boolean, or double value, ";
message += "so it should be set by integer, unsigned integer, uint64, unsigned char, boolean, float or double value, ";
}
else if (paramType == Param::SHORT)
{
@@ -569,16 +611,20 @@ static string getErrorMessageForWrongArgumentInGetter(string algoName, string pa
if (paramType == Param::BOOLEAN)
{
message += "so it should be get as integer, boolean, or double value, ";
message += "so it should be get as integer, unsigned integer, uint64, boolean, unsigned char, float or double value, ";
}
else if (paramType == Param::INT)
else if (paramType == Param::INT || paramType == Param::UNSIGNED_INT || paramType == Param::UINT64 || paramType == Param::UCHAR)
{
message += "so it should be get as integer or double value, ";
message += "so it should be get as integer, unsigned integer, uint64, unsigned char, float or double value, ";
}
else if (paramType == Param::SHORT)
{
message += "so it should be get as integer value, ";
}
else if (paramType == Param::FLOAT || paramType == Param::REAL)
{
message += "so it should be get as float or double value, ";
}
message += "but the getter was called to get a " + getNameOfType(argType) + " value";
return message;
@@ -597,9 +643,12 @@ void AlgorithmInfo::set(Algorithm* algo, const char* parameter, int argType, con
GetSetParam f;
f.set_int = p->setter;
if( argType == Param::INT || argType == Param::BOOLEAN || argType == Param::REAL || argType == Param::SHORT )
if( argType == Param::INT || argType == Param::BOOLEAN || argType == Param::REAL || argType == Param::SHORT
|| argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64 || argType == Param::UCHAR)
{
if ( !( p->type == Param::INT || p->type == Param::REAL || p->type == Param::BOOLEAN || (p->type == Param::SHORT && argType == Param::INT)) )
if ( !( p->type == Param::INT || p->type == Param::REAL || p->type == Param::BOOLEAN
|| p->type == Param::UNSIGNED_INT || p->type == Param::UINT64 || p->type == Param::FLOAT || argType == Param::UCHAR
|| (p->type == Param::SHORT && argType == Param::INT)) )
{
string message = getErrorMessageForWrongArgumentInSetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
@@ -607,9 +656,21 @@ void AlgorithmInfo::set(Algorithm* algo, const char* parameter, int argType, con
if( p->type == Param::INT )
{
bool is_ok = true;
int val = argType == Param::INT ? *(const int*)value :
argType == Param::BOOLEAN ? (int)*(const bool*)value :
saturate_cast<int>(*(const double*)value);
argType == Param::BOOLEAN ? (int)*(const bool*)value :
argType == Param::REAL ? saturate_cast<int>(*(const double*)value) :
argType == Param::FLOAT ? saturate_cast<int>(*(const float*)value) :
argType == Param::UNSIGNED_INT ? (int)*(const unsigned int*)value :
argType == Param::UINT64 ? (int)*(const uint64*)value :
argType == Param::UCHAR ? (int)*(const uchar*)value :
(int)(is_ok = false);
if (!is_ok)
{
CV_Error(CV_StsBadArg, "Wrong argument type in the setter");
}
if( p->setter )
(algo->*f.set_int)(val);
else
@@ -617,6 +678,7 @@ void AlgorithmInfo::set(Algorithm* algo, const char* parameter, int argType, con
}
else if( p->type == Param::SHORT )
{
CV_DbgAssert(argType == Param::INT);
int val = *(const int*)value;
if( p->setter )
(algo->*f.set_int)(val);
@@ -625,24 +687,133 @@ void AlgorithmInfo::set(Algorithm* algo, const char* parameter, int argType, con
}
else if( p->type == Param::BOOLEAN )
{
bool is_ok = true;
bool val = argType == Param::INT ? *(const int*)value != 0 :
argType == Param::BOOLEAN ? *(const bool*)value :
*(const double*)value != 0;
argType == Param::REAL ? (*(const double*)value != 0) :
argType == Param::FLOAT ? (*(const float*)value != 0) :
argType == Param::UNSIGNED_INT ? (*(const unsigned int*)value != 0):
argType == Param::UINT64 ? (*(const uint64*)value != 0):
argType == Param::UCHAR ? (*(const uchar*)value != 0):
(int)(is_ok = false);
if (!is_ok)
{
CV_Error(CV_StsBadArg, "Wrong argument type in the setter");
}
if( p->setter )
(algo->*f.set_bool)(val);
else
*(bool*)((uchar*)algo + p->offset) = val;
}
else
else if( p->type == Param::REAL )
{
bool is_ok = true;
double val = argType == Param::INT ? (double)*(const int*)value :
argType == Param::BOOLEAN ? (double)*(const bool*)value :
*(const double*)value;
argType == Param::REAL ? (double)(*(const double*)value ) :
argType == Param::FLOAT ? (double)(*(const float*)value ) :
argType == Param::UNSIGNED_INT ? (double)(*(const unsigned int*)value ) :
argType == Param::UINT64 ? (double)(*(const uint64*)value ) :
argType == Param::UCHAR ? (double)(*(const uchar*)value ) :
(double)(is_ok = false);
if (!is_ok)
{
CV_Error(CV_StsBadArg, "Wrong argument type in the setter");
}
if( p->setter )
(algo->*f.set_double)(val);
else
*(double*)((uchar*)algo + p->offset) = val;
}
else if( p->type == Param::FLOAT )
{
bool is_ok = true;
double val = argType == Param::INT ? (double)*(const int*)value :
argType == Param::BOOLEAN ? (double)*(const bool*)value :
argType == Param::REAL ? (double)(*(const double*)value ) :
argType == Param::FLOAT ? (double)(*(const float*)value ) :
argType == Param::UNSIGNED_INT ? (double)(*(const unsigned int*)value ) :
argType == Param::UINT64 ? (double)(*(const uint64*)value ) :
argType == Param::UCHAR ? (double)(*(const uchar*)value ) :
(double)(is_ok = false);
if (!is_ok)
{
CV_Error(CV_StsBadArg, "Wrong argument type in the setter");
}
if( p->setter )
(algo->*f.set_float)((float)val);
else
*(float*)((uchar*)algo + p->offset) = (float)val;
}
else if( p->type == Param::UNSIGNED_INT )
{
bool is_ok = true;
unsigned int val = argType == Param::INT ? (unsigned int)*(const int*)value :
argType == Param::BOOLEAN ? (unsigned int)*(const bool*)value :
argType == Param::REAL ? saturate_cast<unsigned int>(*(const double*)value ) :
argType == Param::FLOAT ? saturate_cast<unsigned int>(*(const float*)value ) :
argType == Param::UNSIGNED_INT ? (unsigned int)(*(const unsigned int*)value ) :
argType == Param::UINT64 ? (unsigned int)(*(const uint64*)value ) :
argType == Param::UCHAR ? (unsigned int)(*(const uchar*)value ) :
(int)(is_ok = false);
if (!is_ok)
{
CV_Error(CV_StsBadArg, "Wrong argument type in the setter");
}
if( p->setter )
(algo->*f.set_uint)(val);
else
*(unsigned int*)((uchar*)algo + p->offset) = val;
}
else if( p->type == Param::UINT64 )
{
bool is_ok = true;
uint64 val = argType == Param::INT ? (uint64)*(const int*)value :
argType == Param::BOOLEAN ? (uint64)*(const bool*)value :
argType == Param::REAL ? saturate_cast<uint64>(*(const double*)value ) :
argType == Param::FLOAT ? saturate_cast<uint64>(*(const float*)value ) :
argType == Param::UNSIGNED_INT ? (uint64)(*(const unsigned int*)value ) :
argType == Param::UINT64 ? (uint64)(*(const uint64*)value ) :
argType == Param::UCHAR ? (uint64)(*(const uchar*)value ) :
(int)(is_ok = false);
if (!is_ok)
{
CV_Error(CV_StsBadArg, "Wrong argument type in the setter");
}
if( p->setter )
(algo->*f.set_uint64)(val);
else
*(uint64*)((uchar*)algo + p->offset) = val;
}
else if( p->type == Param::UCHAR )
{
bool is_ok = true;
uchar val = argType == Param::INT ? (uchar)*(const int*)value :
argType == Param::BOOLEAN ? (uchar)*(const bool*)value :
argType == Param::REAL ? saturate_cast<uchar>(*(const double*)value ) :
argType == Param::FLOAT ? saturate_cast<uchar>(*(const float*)value ) :
argType == Param::UNSIGNED_INT ? (uchar)(*(const unsigned int*)value ) :
argType == Param::UINT64 ? (uchar)(*(const uint64*)value ) :
argType == Param::UCHAR ? (uchar)(*(const uchar*)value ) :
(int)(is_ok = false);
if (!is_ok)
{
CV_Error(CV_StsBadArg, "Wrong argument type in the setter");
}
if( p->setter )
(algo->*f.set_uchar)(val);
else
*(uchar*)((uchar*)algo + p->offset) = val;
}
else
CV_Error(CV_StsBadArg, "Wrong parameter type in the setter");
}
else if( argType == Param::STRING )
{
@@ -713,11 +884,12 @@ void AlgorithmInfo::get(const Algorithm* algo, const char* parameter, int argTyp
GetSetParam f;
f.get_int = p->getter;
if( argType == Param::INT || argType == Param::BOOLEAN || argType == Param::REAL )
if( argType == Param::INT || argType == Param::BOOLEAN || argType == Param::REAL || argType == Param::SHORT
|| argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64 || argType == Param::UCHAR)
{
if( p->type == Param::INT )
{
if (!( argType == Param::INT || argType == Param::REAL ))
if (!( argType == Param::INT || argType == Param::REAL || argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64 || argType == Param::UCHAR))
{
string message = getErrorMessageForWrongArgumentInGetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
@@ -725,9 +897,20 @@ void AlgorithmInfo::get(const Algorithm* algo, const char* parameter, int argTyp
int val = p->getter ? (algo->*f.get_int)() : *(int*)((uchar*)algo + p->offset);
if( argType == Param::INT )
*(int*)value = val;
*(int*)value = (int)val;
else if ( argType == Param::REAL )
*(double*)value = (double)val;
else if ( argType == Param::FLOAT)
*(float*)value = (float)val;
else if ( argType == Param::UNSIGNED_INT )
*(unsigned int*)value = (unsigned int)val;
else if ( argType == Param::UINT64 )
*(uint64*)value = (uint64)val;
else if ( argType == Param::UCHAR)
*(uchar*)value = (uchar)val;
else
*(double*)value = val;
CV_Error(CV_StsBadArg, "Wrong argument type");
}
else if( p->type == Param::SHORT )
{
@@ -742,7 +925,7 @@ void AlgorithmInfo::get(const Algorithm* algo, const char* parameter, int argTyp
}
else if( p->type == Param::BOOLEAN )
{
if (!( argType == Param::INT || argType == Param::BOOLEAN || argType == Param::REAL ))
if (!( argType == Param::INT || argType == Param::BOOLEAN || argType == Param::REAL || argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64 || argType == Param::UCHAR))
{
string message = getErrorMessageForWrongArgumentInGetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
@@ -753,20 +936,126 @@ void AlgorithmInfo::get(const Algorithm* algo, const char* parameter, int argTyp
*(int*)value = (int)val;
else if( argType == Param::BOOLEAN )
*(bool*)value = val;
else
else if ( argType == Param::REAL )
*(double*)value = (int)val;
else if ( argType == Param::FLOAT)
*(float*)value = (float)((int)val);
else if ( argType == Param::UNSIGNED_INT )
*(unsigned int*)value = (unsigned int)val;
else if ( argType == Param::UINT64 )
*(uint64*)value = (int)val;
else if ( argType == Param::UCHAR)
*(uchar*)value = (uchar)val;
else
CV_Error(CV_StsBadArg, "Wrong argument type");
}
else
else if( p->type == Param::REAL )
{
if( argType != Param::REAL )
if(!( argType == Param::REAL || argType == Param::FLOAT))
{
string message = getErrorMessageForWrongArgumentInGetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
}
double val = p->getter ? (algo->*f.get_double)() : *(double*)((uchar*)algo + p->offset);
*(double*)value = val;
if ( argType == Param::REAL )
*(double*)value = val;
else if ( argType == Param::FLOAT)
*(float*)value = (float)val;
else
CV_Error(CV_StsBadArg, "Wrong argument type");
}
else if( p->type == Param::FLOAT )
{
if(!( argType == Param::REAL || argType == Param::FLOAT))
{
string message = getErrorMessageForWrongArgumentInGetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
}
float val = p->getter ? (algo->*f.get_float)() : *(float*)((uchar*)algo + p->offset);
if ( argType == Param::REAL )
*(double*)value = (double)val;
else if ( argType == Param::FLOAT)
*(float*)value = (float)val;
else
CV_Error(CV_StsBadArg, "Wrong argument type");
}
else if( p->type == Param::UNSIGNED_INT )
{
if (!( argType == Param::INT || argType == Param::REAL || argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64 || argType == Param::UCHAR))
{
string message = getErrorMessageForWrongArgumentInGetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
}
unsigned int val = p->getter ? (algo->*f.get_uint)() : *(unsigned int*)((uchar*)algo + p->offset);
if( argType == Param::INT )
*(int*)value = (int)val;
else if ( argType == Param::REAL )
*(double*)value = (double)val;
else if ( argType == Param::FLOAT)
*(float*)value = (float)val;
else if ( argType == Param::UNSIGNED_INT )
*(unsigned int*)value = (unsigned int)val;
else if ( argType == Param::UINT64 )
*(uint64*)value = (uint64)val;
else if ( argType == Param::UCHAR)
*(uchar*)value = (uchar)val;
else
CV_Error(CV_StsBadArg, "Wrong argument type");
}
else if( p->type == Param::UINT64 )
{
if (!( argType == Param::INT || argType == Param::REAL || argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64 || argType == Param::UCHAR))
{
string message = getErrorMessageForWrongArgumentInGetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
}
uint64 val = p->getter ? (algo->*f.get_uint64)() : *(uint64*)((uchar*)algo + p->offset);
if( argType == Param::INT )
*(int*)value = (int)val;
else if ( argType == Param::REAL )
*(double*)value = (double)val;
else if ( argType == Param::FLOAT)
*(float*)value = (float)val;
else if ( argType == Param::UNSIGNED_INT )
*(unsigned int*)value = (unsigned int)val;
else if ( argType == Param::UINT64 )
*(uint64*)value = (uint64)val;
else if ( argType == Param::UCHAR)
*(uchar*)value = (uchar)val;
else
CV_Error(CV_StsBadArg, "Wrong argument type");
}
else if( p->type == Param::UCHAR )
{
if (!( argType == Param::INT || argType == Param::REAL || argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64 || argType == Param::UCHAR))
{
string message = getErrorMessageForWrongArgumentInGetter(algo->name(), parameter, p->type, argType);
CV_Error(CV_StsBadArg, message);
}
uchar val = p->getter ? (algo->*f.get_uchar)() : *(uchar*)((uchar*)algo + p->offset);
if( argType == Param::INT )
*(int*)value = val;
else if ( argType == Param::REAL )
*(double*)value = val;
else if ( argType == Param::FLOAT)
*(float*)value = val;
else if ( argType == Param::UNSIGNED_INT )
*(unsigned int*)value = val;
else if ( argType == Param::UINT64 )
*(uint64*)value = val;
else if ( argType == Param::UCHAR)
*(uchar*)value = val;
else
CV_Error(CV_StsBadArg, "Wrong argument type");
}
else
CV_Error(CV_StsBadArg, "Unknown/unsupported parameter type");
}
else if( argType == Param::STRING )
{
@@ -852,7 +1141,9 @@ void AlgorithmInfo::addParam_(Algorithm& algo, const char* parameter, int argTyp
CV_Assert( argType == Param::INT || argType == Param::BOOLEAN ||
argType == Param::REAL || argType == Param::STRING ||
argType == Param::MAT || argType == Param::MAT_VECTOR ||
argType == Param::ALGORITHM || argType == Param::SHORT );
argType == Param::ALGORITHM || argType == Param::SHORT
|| argType == Param::FLOAT || argType == Param::UNSIGNED_INT || argType == Param::UINT64
|| argType == Param::UCHAR);
data->params.add(string(parameter), Param(argType, readOnly,
(int)((size_t)value - (size_t)(void*)&algo),
getter, setter, help));
@@ -939,6 +1230,46 @@ void AlgorithmInfo::addParam(Algorithm& algo, const char* parameter,
(Algorithm::Getter)getter, (Algorithm::Setter)setter, help);
}
void AlgorithmInfo::addParam(Algorithm& algo, const char* parameter,
float& value, bool readOnly,
float (Algorithm::*getter)(),
void (Algorithm::*setter)(float),
const string& help)
{
addParam_(algo, parameter, ParamType<float>::type, &value, readOnly,
(Algorithm::Getter)getter, (Algorithm::Setter)setter, help);
}
void AlgorithmInfo::addParam(Algorithm& algo, const char* parameter,
unsigned int& value, bool readOnly,
unsigned int (Algorithm::*getter)(),
void (Algorithm::*setter)(unsigned int),
const string& help)
{
addParam_(algo, parameter, ParamType<unsigned int>::type, &value, readOnly,
(Algorithm::Getter)getter, (Algorithm::Setter)setter, help);
}
void AlgorithmInfo::addParam(Algorithm& algo, const char* parameter,
uint64& value, bool readOnly,
uint64 (Algorithm::*getter)(),
void (Algorithm::*setter)(uint64),
const string& help)
{
addParam_(algo, parameter, ParamType<uint64>::type, &value, readOnly,
(Algorithm::Getter)getter, (Algorithm::Setter)setter, help);
}
void AlgorithmInfo::addParam(Algorithm& algo, const char* parameter,
uchar& value, bool readOnly,
uchar (Algorithm::*getter)(),
void (Algorithm::*setter)(uchar),
const string& help)
{
addParam_(algo, parameter, ParamType<uchar>::type, &value, readOnly,
(Algorithm::Getter)getter, (Algorithm::Setter)setter, help);
}
}
/* End of file. */
Diferenças do arquivo suprimidas por serem muito extensas Carregar Diff
Diferenças do arquivo suprimidas por serem muito extensas Carregar Diff
+211 -140
Ver Arquivo
@@ -48,8 +48,8 @@
#include <cuda_runtime.h>
#include <npp.h>
#define CUDART_MINIMUM_REQUIRED_VERSION 4010
#define NPP_MINIMUM_REQUIRED_VERSION 4100
#define CUDART_MINIMUM_REQUIRED_VERSION 4020
#define NPP_MINIMUM_REQUIRED_VERSION 4200
#if (CUDART_VERSION < CUDART_MINIMUM_REQUIRED_VERSION)
#error "Insufficient Cuda Runtime library version, please update it."
@@ -64,8 +64,108 @@ using namespace std;
using namespace cv;
using namespace cv::gpu;
#ifndef HAVE_CUDA
#define throw_nogpu CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
#else // HAVE_CUDA
namespace
{
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
#endif
inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
{
if (cudaSuccess != err)
cv::gpu::error(cudaGetErrorString(err), file, line, func);
}
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
{
if (err < 0)
{
std::ostringstream msg;
msg << "NPP API Call Error: " << err;
cv::gpu::error(msg.str().c_str(), file, line, func);
}
}
}
#endif // HAVE_CUDA
//////////////////////////////// Initialization & Info ////////////////////////
#ifndef HAVE_CUDA
int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
void cv::gpu::setDevice(int) { throw_nogpu; }
int cv::gpu::getDevice() { throw_nogpu; return 0; }
void cv::gpu::resetDevice() { throw_nogpu; }
bool cv::gpu::deviceSupports(FeatureSet) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::builtWith(FeatureSet) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::has(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasPtx(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasBin(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreater(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int, int) { throw_nogpu; return false; }
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int, int) { throw_nogpu; return false; }
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const { throw_nogpu; return 0; }
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu; }
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu; return 0; }
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu; return 0; }
bool cv::gpu::DeviceInfo::supports(FeatureSet) const { throw_nogpu; return false; }
bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu; return false; }
void cv::gpu::DeviceInfo::query() { throw_nogpu; }
void cv::gpu::printCudaDeviceInfo(int) { throw_nogpu; }
void cv::gpu::printShortCudaDeviceInfo(int) { throw_nogpu; }
#else // HAVE_CUDA
int cv::gpu::getCudaEnabledDeviceCount()
{
int count;
cudaError_t error = cudaGetDeviceCount( &count );
if (error == cudaErrorInsufficientDriver)
return -1;
if (error == cudaErrorNoDevice)
return 0;
cudaSafeCall( error );
return count;
}
void cv::gpu::setDevice(int device)
{
cudaSafeCall( cudaSetDevice( device ) );
}
int cv::gpu::getDevice()
{
int device;
cudaSafeCall( cudaGetDevice( &device ) );
return device;
}
void cv::gpu::resetDevice()
{
cudaSafeCall( cudaDeviceReset() );
}
namespace
{
class CudaArch
@@ -92,11 +192,9 @@ namespace
CudaArch::CudaArch()
{
#ifdef HAVE_CUDA
fromStr(CUDA_ARCH_BIN, bin);
fromStr(CUDA_ARCH_PTX, ptx);
fromStr(CUDA_ARCH_FEATURES, features);
#endif
}
bool CudaArch::builtWith(FeatureSet feature_set) const
@@ -149,12 +247,7 @@ namespace
bool cv::gpu::TargetArchs::builtWith(cv::gpu::FeatureSet feature_set)
{
#if defined (HAVE_CUDA)
return cudaArch.builtWith(feature_set);
#else
(void)feature_set;
return false;
#endif
}
bool cv::gpu::TargetArchs::has(int major, int minor)
@@ -164,35 +257,17 @@ bool cv::gpu::TargetArchs::has(int major, int minor)
bool cv::gpu::TargetArchs::hasPtx(int major, int minor)
{
#if defined (HAVE_CUDA)
return cudaArch.hasPtx(major, minor);
#else
(void)major;
(void)minor;
return false;
#endif
}
bool cv::gpu::TargetArchs::hasBin(int major, int minor)
{
#if defined (HAVE_CUDA)
return cudaArch.hasBin(major, minor);
#else
(void)major;
(void)minor;
return false;
#endif
}
bool cv::gpu::TargetArchs::hasEqualOrLessPtx(int major, int minor)
{
#if defined (HAVE_CUDA)
return cudaArch.hasEqualOrLessPtx(major, minor);
#else
(void)major;
(void)minor;
return false;
#endif
}
bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
@@ -202,24 +277,12 @@ bool cv::gpu::TargetArchs::hasEqualOrGreater(int major, int minor)
bool cv::gpu::TargetArchs::hasEqualOrGreaterPtx(int major, int minor)
{
#if defined (HAVE_CUDA)
return cudaArch.hasEqualOrGreaterPtx(major, minor);
#else
(void)major;
(void)minor;
return false;
#endif
}
bool cv::gpu::TargetArchs::hasEqualOrGreaterBin(int major, int minor)
{
#if defined (HAVE_CUDA)
return cudaArch.hasEqualOrGreaterBin(major, minor);
#else
(void)major;
(void)minor;
return false;
#endif
}
bool cv::gpu::deviceSupports(FeatureSet feature_set)
@@ -247,108 +310,84 @@ bool cv::gpu::deviceSupports(FeatureSet feature_set)
return TargetArchs::builtWith(feature_set) && (version >= feature_set);
}
#if !defined (HAVE_CUDA)
#define throw_nogpu CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support")
int cv::gpu::getCudaEnabledDeviceCount() { return 0; }
void cv::gpu::setDevice(int) { throw_nogpu; }
int cv::gpu::getDevice() { throw_nogpu; return 0; }
void cv::gpu::resetDevice() { throw_nogpu; }
size_t cv::gpu::DeviceInfo::freeMemory() const { throw_nogpu; return 0; }
size_t cv::gpu::DeviceInfo::totalMemory() const { throw_nogpu; return 0; }
bool cv::gpu::DeviceInfo::supports(cv::gpu::FeatureSet) const { throw_nogpu; return false; }
bool cv::gpu::DeviceInfo::isCompatible() const { throw_nogpu; return false; }
void cv::gpu::DeviceInfo::query() { throw_nogpu; }
void cv::gpu::DeviceInfo::queryMemory(size_t&, size_t&) const { throw_nogpu; }
void cv::gpu::printCudaDeviceInfo(int) { throw_nogpu; }
void cv::gpu::printShortCudaDeviceInfo(int) { throw_nogpu; }
#undef throw_nogpu
#else // HAVE_CUDA
namespace
{
#if defined(__GNUC__)
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__, __func__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__, __func__)
#else /* defined(__CUDACC__) || defined(__MSVC__) */
#define cudaSafeCall(expr) ___cudaSafeCall(expr, __FILE__, __LINE__)
#define nppSafeCall(expr) ___nppSafeCall(expr, __FILE__, __LINE__)
#endif
inline void ___cudaSafeCall(cudaError_t err, const char *file, const int line, const char *func = "")
class DeviceProps
{
if (cudaSuccess != err)
cv::gpu::error(cudaGetErrorString(err), file, line, func);
public:
DeviceProps();
~DeviceProps();
cudaDeviceProp* get(int devID);
private:
std::vector<cudaDeviceProp*> props_;
};
DeviceProps::DeviceProps()
{
props_.resize(10, 0);
}
inline void ___nppSafeCall(int err, const char *file, const int line, const char *func = "")
DeviceProps::~DeviceProps()
{
if (err < 0)
for (size_t i = 0; i < props_.size(); ++i)
{
std::ostringstream msg;
msg << "NPP API Call Error: " << err;
cv::gpu::error(msg.str().c_str(), file, line, func);
if (props_[i])
delete props_[i];
}
props_.clear();
}
cudaDeviceProp* DeviceProps::get(int devID)
{
if (devID >= (int) props_.size())
props_.resize(devID + 5, 0);
if (!props_[devID])
{
props_[devID] = new cudaDeviceProp;
cudaSafeCall( cudaGetDeviceProperties(props_[devID], devID) );
}
return props_[devID];
}
DeviceProps deviceProps;
}
int cv::gpu::getCudaEnabledDeviceCount()
size_t cv::gpu::DeviceInfo::sharedMemPerBlock() const
{
int count;
cudaError_t error = cudaGetDeviceCount( &count );
if (error == cudaErrorInsufficientDriver)
return -1;
if (error == cudaErrorNoDevice)
return 0;
cudaSafeCall(error);
return count;
return deviceProps.get(device_id_)->sharedMemPerBlock;
}
void cv::gpu::setDevice(int device)
void cv::gpu::DeviceInfo::queryMemory(size_t& _totalMemory, size_t& _freeMemory) const
{
cudaSafeCall( cudaSetDevice( device ) );
}
int prevDeviceID = getDevice();
if (prevDeviceID != device_id_)
setDevice(device_id_);
int cv::gpu::getDevice()
{
int device;
cudaSafeCall( cudaGetDevice( &device ) );
return device;
}
cudaSafeCall( cudaMemGetInfo(&_freeMemory, &_totalMemory) );
void cv::gpu::resetDevice()
{
cudaSafeCall( cudaDeviceReset() );
if (prevDeviceID != device_id_)
setDevice(prevDeviceID);
}
size_t cv::gpu::DeviceInfo::freeMemory() const
{
size_t free_memory, total_memory;
queryMemory(free_memory, total_memory);
return free_memory;
size_t _totalMemory, _freeMemory;
queryMemory(_totalMemory, _freeMemory);
return _freeMemory;
}
size_t cv::gpu::DeviceInfo::totalMemory() const
{
size_t free_memory, total_memory;
queryMemory(free_memory, total_memory);
return total_memory;
size_t _totalMemory, _freeMemory;
queryMemory(_totalMemory, _freeMemory);
return _totalMemory;
}
bool cv::gpu::DeviceInfo::supports(cv::gpu::FeatureSet feature_set) const
bool cv::gpu::DeviceInfo::supports(FeatureSet feature_set) const
{
int version = majorVersion() * 10 + minorVersion();
return version >= feature_set;
@@ -370,24 +409,12 @@ bool cv::gpu::DeviceInfo::isCompatible() const
void cv::gpu::DeviceInfo::query()
{
cudaDeviceProp prop;
cudaSafeCall(cudaGetDeviceProperties(&prop, device_id_));
name_ = prop.name;
multi_processor_count_ = prop.multiProcessorCount;
majorVersion_ = prop.major;
minorVersion_ = prop.minor;
}
const cudaDeviceProp* prop = deviceProps.get(device_id_);
void cv::gpu::DeviceInfo::queryMemory(size_t& free_memory, size_t& total_memory) const
{
int prev_device_id = getDevice();
if (prev_device_id != device_id_)
setDevice(device_id_);
cudaSafeCall(cudaMemGetInfo(&free_memory, &total_memory));
if (prev_device_id != device_id_)
setDevice(prev_device_id);
name_ = prop->name;
multi_processor_count_ = prop->multiProcessorCount;
majorVersion_ = prop->major;
minorVersion_ = prop->minor;
}
namespace
@@ -764,6 +791,50 @@ cv::Mat::Mat(const GpuMat& m) : flags(0), dims(0), rows(0), cols(0), data(0), re
m.download(*this);
}
void cv::gpu::createContinuous(int rows, int cols, int type, GpuMat& m)
{
int area = rows * cols;
if (m.empty() || m.type() != type || !m.isContinuous() || m.size().area() < area)
m.create(1, area, type);
m.cols = cols;
m.rows = rows;
m.step = m.elemSize() * cols;
m.flags |= Mat::CONTINUOUS_FLAG;
}
void cv::gpu::ensureSizeIsEnough(int rows, int cols, int type, GpuMat& m)
{
if (m.empty() || m.type() != type || m.data != m.datastart)
m.create(rows, cols, type);
else
{
const size_t esz = m.elemSize();
const ptrdiff_t delta2 = m.dataend - m.datastart;
const size_t minstep = m.cols * esz;
Size wholeSize;
wholeSize.height = std::max(static_cast<int>((delta2 - minstep) / m.step + 1), m.rows);
wholeSize.width = std::max(static_cast<int>((delta2 - m.step * (wholeSize.height - 1)) / esz), m.cols);
if (wholeSize.height < rows || wholeSize.width < cols)
m.create(rows, cols, type);
else
{
m.cols = cols;
m.rows = rows;
}
}
}
GpuMat cv::gpu::allocMatFromBuf(int rows, int cols, int type, GpuMat &mat)
{
if (!mat.empty() && mat.type() == type && mat.rows >= rows && mat.cols >= cols)
return mat(Rect(0, 0, cols, rows));
return mat = GpuMat(rows, cols, type);
}
namespace
{
class GpuFuncTable
@@ -787,25 +858,25 @@ namespace
};
}
#if !defined HAVE_CUDA || defined(CUDA_DISABLER_)
#ifndef HAVE_CUDA
namespace
{
class EmptyFuncTable : public GpuFuncTable
{
public:
void copy(const Mat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void copy(const GpuMat&, Mat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void copy(const GpuMat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void copy(const Mat&, GpuMat&) const { throw_nogpu; }
void copy(const GpuMat&, Mat&) const { throw_nogpu; }
void copy(const GpuMat&, GpuMat&) const { throw_nogpu; }
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void copyWithMask(const GpuMat&, GpuMat&, const GpuMat&) const { throw_nogpu; }
void convert(const GpuMat&, GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void convert(const GpuMat&, GpuMat&, double, double) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void convert(const GpuMat&, GpuMat&) const { throw_nogpu; }
void convert(const GpuMat&, GpuMat&, double, double) const { throw_nogpu; }
void setTo(GpuMat&, Scalar, const GpuMat&) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void setTo(GpuMat&, Scalar, const GpuMat&) const { throw_nogpu; }
void mallocPitch(void**, size_t*, size_t, size_t) const { CV_Error(CV_GpuNotSupported, "The library is compiled without CUDA support"); }
void mallocPitch(void**, size_t*, size_t, size_t) const { throw_nogpu; }
void free(void*) const {}
};
+5
Ver Arquivo
@@ -42,6 +42,10 @@
#include "precomp.hpp"
#if defined _M_IX86 && defined _MSC_VER && _MSC_VER < 1700
#pragma float_control(precise, on)
#endif
namespace cv
{
@@ -1095,6 +1099,7 @@ double cv::invert( InputArray _src, OutputArray _dst, int method )
if( type == CV_32FC1 )
{
double d = det3(Sf);
if( d != 0. )
{
double t[12];
+85 -33
Ver Arquivo
@@ -43,6 +43,7 @@
#include "precomp.hpp"
#include "opencv2/core/gpumat.hpp"
#include "opencv2/core/opengl_interop.hpp"
#include "opencv2/core/opengl_interop_deprecated.hpp"
/****************************************************************************************\
* [scaled] Identity matrix initialization *
@@ -925,9 +926,13 @@ _InputArray::_InputArray(const Mat& m) : flags(MAT), obj((void*)&m) {}
_InputArray::_InputArray(const vector<Mat>& vec) : flags(STD_VECTOR_MAT), obj((void*)&vec) {}
_InputArray::_InputArray(const double& val) : flags(FIXED_TYPE + FIXED_SIZE + MATX + CV_64F), obj((void*)&val), sz(Size(1,1)) {}
_InputArray::_InputArray(const MatExpr& expr) : flags(FIXED_TYPE + FIXED_SIZE + EXPR), obj((void*)&expr) {}
_InputArray::_InputArray(const GlBuffer& buf) : flags(FIXED_TYPE + FIXED_SIZE + OPENGL_BUFFER), obj((void*)&buf) {}
_InputArray::_InputArray(const GlTexture& tex) : flags(FIXED_TYPE + FIXED_SIZE + OPENGL_TEXTURE), obj((void*)&tex) {}
// < Deprecated
_InputArray::_InputArray(const GlBuffer&) : flags(0), obj(0) {}
_InputArray::_InputArray(const GlTexture&) : flags(0), obj(0) {}
// >
_InputArray::_InputArray(const gpu::GpuMat& d_mat) : flags(GPU_MAT), obj((void*)&d_mat) {}
_InputArray::_InputArray(const ogl::Buffer& buf) : flags(OPENGL_BUFFER), obj((void*)&buf) {}
_InputArray::_InputArray(const ogl::Texture2D& tex) : flags(OPENGL_TEXTURE), obj((void*)&tex) {}
Mat _InputArray::getMat(int i) const
{
@@ -1069,26 +1074,14 @@ void _InputArray::getMatVector(vector<Mat>& mv) const
GlBuffer _InputArray::getGlBuffer() const
{
int k = kind();
CV_Assert(k == OPENGL_BUFFER);
//if( k == OPENGL_BUFFER )
{
const GlBuffer* buf = (const GlBuffer*)obj;
return *buf;
}
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
return GlBuffer(GlBuffer::ARRAY_BUFFER);
}
GlTexture _InputArray::getGlTexture() const
{
int k = kind();
CV_Assert(k == OPENGL_TEXTURE);
//if( k == OPENGL_TEXTURE )
{
const GlTexture* tex = (const GlTexture*)obj;
return *tex;
}
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
return GlTexture();
}
gpu::GpuMat _InputArray::getGpuMat() const
@@ -1096,11 +1089,29 @@ gpu::GpuMat _InputArray::getGpuMat() const
int k = kind();
CV_Assert(k == GPU_MAT);
//if( k == GPU_MAT )
{
const gpu::GpuMat* d_mat = (const gpu::GpuMat*)obj;
return *d_mat;
}
const gpu::GpuMat* d_mat = (const gpu::GpuMat*)obj;
return *d_mat;
}
ogl::Buffer _InputArray::getOGlBuffer() const
{
int k = kind();
CV_Assert(k == OPENGL_BUFFER);
const ogl::Buffer* gl_buf = (const ogl::Buffer*)obj;
return *gl_buf;
}
ogl::Texture2D _InputArray::getOGlTexture2D() const
{
int k = kind();
CV_Assert(k == OPENGL_TEXTURE);
const ogl::Texture2D* gl_tex = (const ogl::Texture2D*)obj;
return *gl_tex;
}
int _InputArray::kind() const
@@ -1167,14 +1178,14 @@ Size _InputArray::size(int i) const
if( k == OPENGL_BUFFER )
{
CV_Assert( i < 0 );
const GlBuffer* buf = (const GlBuffer*)obj;
const ogl::Buffer* buf = (const ogl::Buffer*)obj;
return buf->size();
}
if( k == OPENGL_TEXTURE )
{
CV_Assert( i < 0 );
const GlTexture* tex = (const GlTexture*)obj;
const ogl::Texture2D* tex = (const ogl::Texture2D*)obj;
return tex->size();
}
@@ -1235,10 +1246,7 @@ int _InputArray::type(int i) const
}
if( k == OPENGL_BUFFER )
return ((const GlBuffer*)obj)->type();
if( k == OPENGL_TEXTURE )
return ((const GlTexture*)obj)->type();
return ((const ogl::Buffer*)obj)->type();
CV_Assert( k == GPU_MAT );
//if( k == GPU_MAT )
@@ -1290,10 +1298,10 @@ bool _InputArray::empty() const
}
if( k == OPENGL_BUFFER )
return ((const GlBuffer*)obj)->empty();
return ((const ogl::Buffer*)obj)->empty();
if( k == OPENGL_TEXTURE )
return ((const GlTexture*)obj)->empty();
return ((const ogl::Texture2D*)obj)->empty();
CV_Assert( k == GPU_MAT );
//if( k == GPU_MAT )
@@ -1308,10 +1316,14 @@ _OutputArray::~_OutputArray() {}
_OutputArray::_OutputArray(Mat& m) : _InputArray(m) {}
_OutputArray::_OutputArray(vector<Mat>& vec) : _InputArray(vec) {}
_OutputArray::_OutputArray(gpu::GpuMat& d_mat) : _InputArray(d_mat) {}
_OutputArray::_OutputArray(ogl::Buffer& buf) : _InputArray(buf) {}
_OutputArray::_OutputArray(ogl::Texture2D& tex) : _InputArray(tex) {}
_OutputArray::_OutputArray(const Mat& m) : _InputArray(m) {flags |= FIXED_SIZE|FIXED_TYPE;}
_OutputArray::_OutputArray(const vector<Mat>& vec) : _InputArray(vec) {flags |= FIXED_SIZE;}
_OutputArray::_OutputArray(const gpu::GpuMat& d_mat) : _InputArray(d_mat) {flags |= FIXED_SIZE|FIXED_TYPE;}
_OutputArray::_OutputArray(const ogl::Buffer& buf) : _InputArray(buf) {flags |= FIXED_SIZE|FIXED_TYPE;}
_OutputArray::_OutputArray(const ogl::Texture2D& tex) : _InputArray(tex) {flags |= FIXED_SIZE|FIXED_TYPE;}
bool _OutputArray::fixedSize() const
@@ -1341,6 +1353,13 @@ void _OutputArray::create(Size _sz, int mtype, int i, bool allowTransposed, int
((gpu::GpuMat*)obj)->create(_sz, mtype);
return;
}
if( k == OPENGL_BUFFER && i < 0 && !allowTransposed && fixedDepthMask == 0 )
{
CV_Assert(!fixedSize() || ((ogl::Buffer*)obj)->size() == _sz);
CV_Assert(!fixedType() || ((ogl::Buffer*)obj)->type() == mtype);
((ogl::Buffer*)obj)->create(_sz, mtype);
return;
}
int sizes[] = {_sz.height, _sz.width};
create(2, sizes, mtype, i, allowTransposed, fixedDepthMask);
}
@@ -1362,6 +1381,13 @@ void _OutputArray::create(int rows, int cols, int mtype, int i, bool allowTransp
((gpu::GpuMat*)obj)->create(rows, cols, mtype);
return;
}
if( k == OPENGL_BUFFER && i < 0 && !allowTransposed && fixedDepthMask == 0 )
{
CV_Assert(!fixedSize() || ((ogl::Buffer*)obj)->size() == Size(cols, rows));
CV_Assert(!fixedType() || ((ogl::Buffer*)obj)->type() == mtype);
((ogl::Buffer*)obj)->create(rows, cols, mtype);
return;
}
int sizes[] = {rows, cols};
create(2, sizes, mtype, i, allowTransposed, fixedDepthMask);
}
@@ -1581,6 +1607,18 @@ void _OutputArray::release() const
return;
}
if( k == OPENGL_BUFFER )
{
((ogl::Buffer*)obj)->release();
return;
}
if( k == OPENGL_TEXTURE )
{
((ogl::Texture2D*)obj)->release();
return;
}
if( k == NONE )
return;
@@ -1646,6 +1684,20 @@ gpu::GpuMat& _OutputArray::getGpuMatRef() const
return *(gpu::GpuMat*)obj;
}
ogl::Buffer& _OutputArray::getOGlBufferRef() const
{
int k = kind();
CV_Assert( k == OPENGL_BUFFER );
return *(ogl::Buffer*)obj;
}
ogl::Texture2D& _OutputArray::getOGlTexture2DRef() const
{
int k = kind();
CV_Assert( k == OPENGL_TEXTURE );
return *(ogl::Texture2D*)obj;
}
static _OutputArray _none;
OutputArray noArray() { return _none; }
@@ -3496,7 +3548,7 @@ enum { HASH_SIZE0 = 8 };
static inline void copyElem(const uchar* from, uchar* to, size_t elemSize)
{
size_t i;
for( i = 0; (int)i <= (int)(elemSize - sizeof(int)); i += sizeof(int) )
for( i = 0; i + sizeof(int) <= elemSize; i += sizeof(int) )
*(int*)(to + i) = *(const int*)(from + i);
for( ; i < elemSize; i++ )
to[i] = from[i];
@@ -3505,7 +3557,7 @@ static inline void copyElem(const uchar* from, uchar* to, size_t elemSize)
static inline bool isZeroElem(const uchar* data, size_t elemSize)
{
size_t i;
for( i = 0; i <= elemSize - sizeof(int); i += sizeof(int) )
for( i = 0; i + sizeof(int) <= elemSize; i += sizeof(int) )
if( *(int*)(data + i) != 0 )
return false;
for( ; i < elemSize; i++ )
Diferenças do arquivo suprimidas por serem muito extensas Carregar Diff
@@ -0,0 +1,331 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "precomp.hpp"
#include "opencv2/core/opengl_interop_deprecated.hpp"
#include "opencv2/core/gpumat.hpp"
using namespace std;
using namespace cv;
using namespace cv::gpu;
CvOpenGlFuncTab::~CvOpenGlFuncTab()
{
}
void icvSetOpenGlFuncTab(const CvOpenGlFuncTab*)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
////////////////////////////////////////////////////////////////////////
// GlBuffer
class cv::GlBuffer::Impl
{
};
cv::GlBuffer::GlBuffer(Usage _usage) : rows_(0), cols_(0), type_(0), usage_(_usage)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
cv::GlBuffer::GlBuffer(int, int, int, Usage _usage) : rows_(0), cols_(0), type_(0), usage_(_usage)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
cv::GlBuffer::GlBuffer(Size, int, Usage _usage) : rows_(0), cols_(0), type_(0), usage_(_usage)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
cv::GlBuffer::GlBuffer(InputArray, Usage _usage) : rows_(0), cols_(0), type_(0), usage_(_usage)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlBuffer::create(int, int, int, Usage)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlBuffer::release()
{
}
void cv::GlBuffer::copyFrom(InputArray)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlBuffer::bind() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlBuffer::unbind() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
Mat cv::GlBuffer::mapHost()
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
return Mat();
}
void cv::GlBuffer::unmapHost()
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
GpuMat cv::GlBuffer::mapDevice()
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
return GpuMat();
}
void cv::GlBuffer::unmapDevice()
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
template <> void cv::Ptr<cv::GlBuffer::Impl>::delete_obj()
{
if (obj) delete obj;
}
//////////////////////////////////////////////////////////////////////////////////////////
// GlTexture
class cv::GlTexture::Impl
{
};
cv::GlTexture::GlTexture() : rows_(0), cols_(0), type_(0), buf_(GlBuffer::TEXTURE_BUFFER)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
cv::GlTexture::GlTexture(int, int, int) : rows_(0), cols_(0), type_(0), buf_(GlBuffer::TEXTURE_BUFFER)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
cv::GlTexture::GlTexture(Size, int) : rows_(0), cols_(0), type_(0), buf_(GlBuffer::TEXTURE_BUFFER)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
cv::GlTexture::GlTexture(InputArray, bool) : rows_(0), cols_(0), type_(0), buf_(GlBuffer::TEXTURE_BUFFER)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlTexture::create(int, int, int)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlTexture::release()
{
}
void cv::GlTexture::copyFrom(InputArray, bool)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlTexture::bind() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlTexture::unbind() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
template <> void cv::Ptr<cv::GlTexture::Impl>::delete_obj()
{
if (obj) delete obj;
}
////////////////////////////////////////////////////////////////////////
// GlArrays
void cv::GlArrays::setVertexArray(InputArray)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlArrays::setColorArray(InputArray, bool)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlArrays::setNormalArray(InputArray)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlArrays::setTexCoordArray(InputArray)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlArrays::bind() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlArrays::unbind() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
////////////////////////////////////////////////////////////////////////
// GlFont
cv::GlFont::GlFont(const string& _family, int _height, Weight _weight, Style _style)
: family_(_family), height_(_height), weight_(_weight), style_(_style), base_(0)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlFont::draw(const char*, int) const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
Ptr<GlFont> cv::GlFont::get(const std::string&, int, Weight, Style)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
return Ptr<GlFont>();
}
////////////////////////////////////////////////////////////////////////
// Rendering
void cv::render(const GlTexture&, Rect_<double>, Rect_<double>)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::render(const GlArrays&, int, Scalar)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::render(const string&, const Ptr<GlFont>&, Scalar, Point2d)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
////////////////////////////////////////////////////////////////////////
// GlCamera
cv::GlCamera::GlCamera() :
eye_(0.0, 0.0, -5.0), center_(0.0, 0.0, 0.0), up_(0.0, 1.0, 0.0),
pos_(0.0, 0.0, -5.0), yaw_(0.0), pitch_(0.0), roll_(0.0),
useLookAtParams_(false),
scale_(1.0, 1.0, 1.0),
projectionMatrix_(),
fov_(45.0), aspect_(0.0),
left_(0.0), right_(1.0), bottom_(1.0), top_(0.0),
zNear_(-1.0), zFar_(1.0),
perspectiveProjection_(false)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::lookAt(Point3d, Point3d, Point3d)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::setCameraPos(Point3d, double, double, double)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::setScale(Point3d)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::setProjectionMatrix(const Mat&, bool)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::setPerspectiveProjection(double, double, double, double)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::setOrthoProjection(double, double, double, double, double, double)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::setupProjectionMatrix() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
void cv::GlCamera::setupModelViewMatrix() const
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
}
////////////////////////////////////////////////////////////////////////
// Error handling
bool icvCheckGlError(const char*, const int, const char*)
{
CV_Error(CV_StsNotImplemented, "This function in deprecated, do not use it");
return false;
}
+4 -2
Ver Arquivo
@@ -305,7 +305,9 @@ int cv::getNumThreads(void)
#elif defined HAVE_CSTRIPES
return cv::getNumberOfCPUs();
return numThreads > 0
? numThreads
: cv::getNumberOfCPUs();
#elif defined HAVE_OPENMP
@@ -491,4 +493,4 @@ CV_IMPL int cvGetNumThreads()
CV_IMPL int cvGetThreadNum()
{
return cv::getThreadNum();
}
}
+10 -5
Ver Arquivo
@@ -419,7 +419,9 @@ static void fixCCS( Mat& mat, int cols, int flags )
}
}
#if defined _MSC_VER && _MSC_VER >= 1700
#pragma optimize("", off)
#endif
static void mulComplex( const Mat& src1, const Mat& src2, Mat& dst, int flags )
{
dst.create(src1.rows, src1.cols, src1.type());
@@ -439,8 +441,8 @@ static void mulComplex( const Mat& src1, const Mat& src2, Mat& dst, int flags )
if( !(flags & CV_DXT_MUL_CONJ) )
for( j = 0; j < cols; j += 2 )
{
double re = (double)a[j]*b[j] - (double)a[j+1]*b[j+1];
double im = (double)a[j+1]*b[j] + (double)a[j]*b[j+1];
double re = (double)a[j]*(double)b[j] - (double)a[j+1]*(double)b[j+1];
double im = (double)a[j+1]*(double)b[j] + (double)a[j]*(double)b[j+1];
c[j] = (float)re;
c[j+1] = (float)im;
@@ -448,8 +450,8 @@ static void mulComplex( const Mat& src1, const Mat& src2, Mat& dst, int flags )
else
for( j = 0; j < cols; j += 2 )
{
double re = (double)a[j]*b[j] + (double)a[j+1]*b[j+1];
double im = (double)a[j+1]*b[j] - (double)a[j]*b[j+1];
double re = (double)a[j]*(double)b[j] + (double)a[j+1]*(double)b[j+1];
double im = (double)a[j+1]*(double)b[j] - (double)a[j]*(double)b[j+1];
c[j] = (float)re;
c[j+1] = (float)im;
@@ -482,6 +484,9 @@ static void mulComplex( const Mat& src1, const Mat& src2, Mat& dst, int flags )
}
}
}
#if defined _MSC_VER && _MSC_VER >= 1700
#pragma optimize("", on)
#endif
}
+9 -1
Ver Arquivo
@@ -39,4 +39,12 @@ TEST(Core_OutputArraySreate, _1997)
Size submatSize = Size(256, 256);
ASSERT_NO_THROW(local::create( mat(Rect(Point(), submatSize)), submatSize, mat.type() ));
}
}
TEST(Core_SaturateCast, NegativeNotClipped)
{
double d = -1.0;
unsigned int val = cv::saturate_cast<unsigned int>(d);
ASSERT_EQ(0xffffffff, val);
}
@@ -531,7 +531,7 @@ StarAdjuster
SurfAdjuster
------------
.. ocv:class:: SurfAdjuster: public AdjusterAdapter
.. ocv:class:: SurfAdjuster : public AdjusterAdapter
:ocv:class:`AdjusterAdapter` for ``SurfFeatureDetector``. ::
@@ -658,6 +658,7 @@ protected:
virtual void findBlobs(const Mat &image, const Mat &binaryImage, vector<Center> &centers) const;
Params params;
AlgorithmInfo* info() const;
};
+20
Ver Arquivo
@@ -130,6 +130,26 @@ CV_INIT_ALGORITHM(GFTTDetector, "Feature2D.GFTT",
///////////////////////////////////////////////////////////////////////////////////////////////////////////
CV_INIT_ALGORITHM(SimpleBlobDetector, "Feature2D.SimpleBlob",
obj.info()->addParam(obj, "thresholdStep", obj.params.thresholdStep);
obj.info()->addParam(obj, "minThreshold", obj.params.minThreshold);
obj.info()->addParam(obj, "maxThreshold", obj.params.maxThreshold);
obj.info()->addParam_(obj, "minRepeatability", (sizeof(size_t) == sizeof(uint64))?Param::UINT64 : Param::UNSIGNED_INT, &obj.params.minRepeatability, false, 0, 0);
obj.info()->addParam(obj, "minDistBetweenBlobs", obj.params.minDistBetweenBlobs);
obj.info()->addParam(obj, "filterByColor", obj.params.filterByColor);
obj.info()->addParam(obj, "blobColor", obj.params.blobColor);
obj.info()->addParam(obj, "filterByArea", obj.params.filterByArea);
obj.info()->addParam(obj, "maxArea", obj.params.maxArea);
obj.info()->addParam(obj, "filterByCircularity", obj.params.filterByCircularity);
obj.info()->addParam(obj, "maxCircularity", obj.params.maxCircularity);
obj.info()->addParam(obj, "filterByInertia", obj.params.filterByInertia);
obj.info()->addParam(obj, "maxInertiaRatio", obj.params.maxInertiaRatio);
obj.info()->addParam(obj, "filterByConvexity", obj.params.filterByConvexity);
obj.info()->addParam(obj, "maxConvexity", obj.params.maxConvexity);
);
///////////////////////////////////////////////////////////////////////////////////////////////////////////
class CV_EXPORTS HarrisDetector : public GFTTDetector
{
public:
+5 -1
Ver Arquivo
@@ -21,7 +21,7 @@ source_group("Src\\Cuda" FILES ${lib_cuda} ${lib_cuda_hdrs})
source_group("Device" FILES ${lib_device_hdrs})
source_group("Device\\Detail" FILES ${lib_device_hdrs_detail})
if (HAVE_CUDA)
if(HAVE_CUDA)
file(GLOB_RECURSE ncv_srcs "src/nvidia/*.cpp" "src/nvidia/*.h*")
file(GLOB_RECURSE ncv_cuda "src/nvidia/*.cu")
set(ncv_files ${ncv_srcs} ${ncv_cuda})
@@ -104,3 +104,7 @@ ocv_add_accuracy_tests(FILES "Include" ${test_hdrs}
FILES "Src" ${test_srcs}
${nvidia})
ocv_add_perf_tests()
if(HAVE_CUDA)
add_subdirectory(perf4au)
endif()
+80 -24
Ver Arquivo
@@ -271,41 +271,37 @@ This class encapsulates a queue of asynchronous calls. Some functions have overl
class CV_EXPORTS Stream
{
public:
Stream();
~Stream();
Stream();
~Stream();
Stream(const Stream&);
Stream& operator=(const Stream&);
Stream(const Stream&);
Stream& operator=(const Stream&);
bool queryIfComplete();
void waitForCompletion();
bool queryIfComplete();
void waitForCompletion();
//! downloads asynchronously.
// Warning! cv::Mat must point to page locked memory
(i.e. to CudaMem data or to its subMat)
void enqueueDownload(const GpuMat& src, CudaMem& dst);
void enqueueDownload(const GpuMat& src, Mat& dst);
void enqueueDownload(const GpuMat& src, CudaMem& dst);
void enqueueDownload(const GpuMat& src, Mat& dst);
//! uploads asynchronously.
// Warning! cv::Mat must point to page locked memory
(i.e. to CudaMem data or to its ROI)
void enqueueUpload(const CudaMem& src, GpuMat& dst);
void enqueueUpload(const Mat& src, GpuMat& dst);
void enqueueUpload(const CudaMem& src, GpuMat& dst);
void enqueueUpload(const Mat& src, GpuMat& dst);
void enqueueCopy(const GpuMat& src, GpuMat& dst);
void enqueueCopy(const GpuMat& src, GpuMat& dst);
void enqueueMemSet(const GpuMat& src, Scalar val);
void enqueueMemSet(const GpuMat& src, Scalar val, const GpuMat& mask);
void enqueueMemSet(const GpuMat& src, Scalar val);
void enqueueMemSet(const GpuMat& src, Scalar val, const GpuMat& mask);
// converts matrix type, ex from float to uchar depending on type
void enqueueConvert(const GpuMat& src, GpuMat& dst, int type,
double a = 1, double b = 0);
void enqueueConvert(const GpuMat& src, GpuMat& dst, int type,
double a = 1, double b = 0);
typedef void (*StreamCallback)(Stream& stream, int status, void* userData);
void enqueueHostCallback(StreamCallback callback, void* userData);
};
gpu::Stream::queryIfComplete
--------------------------------
----------------------------
Returns ``true`` if the current stream queue is finished. Otherwise, it returns false.
.. ocv:function:: bool gpu::Stream::queryIfComplete()
@@ -313,13 +309,73 @@ Returns ``true`` if the current stream queue is finished. Otherwise, it returns
gpu::Stream::waitForCompletion
----------------------------------
------------------------------
Blocks the current CPU thread until all operations in the stream are complete.
.. ocv:function:: void gpu::Stream::waitForCompletion()
gpu::Stream::enqueueDownload
----------------------------
Copies data from device to host.
.. ocv:function:: void gpu::Stream::enqueueDownload(const GpuMat& src, CudaMem& dst)
.. ocv:function:: void gpu::Stream::enqueueDownload(const GpuMat& src, Mat& dst)
.. note:: ``cv::Mat`` must point to page locked memory (i.e. to ``CudaMem`` data or to its subMat) or must be registered with :ocv:func:`gpu::registerPageLocked` .
gpu::Stream::enqueueUpload
--------------------------
Copies data from host to device.
.. ocv:function:: void gpu::Stream::enqueueUpload(const CudaMem& src, GpuMat& dst)
.. ocv:function:: void gpu::Stream::enqueueUpload(const Mat& src, GpuMat& dst)
.. note:: ``cv::Mat`` must point to page locked memory (i.e. to ``CudaMem`` data or to its subMat) or must be registered with :ocv:func:`gpu::registerPageLocked` .
gpu::Stream::enqueueCopy
------------------------
Copies data from device to device.
.. ocv:function:: void gpu::Stream::enqueueCopy(const GpuMat& src, GpuMat& dst)
gpu::Stream::enqueueMemSet
--------------------------
Initializes or sets device memory to a value.
.. ocv:function:: void gpu::Stream::enqueueMemSet( GpuMat& src, Scalar val )
.. ocv:function:: void gpu::Stream::enqueueMemSet( GpuMat& src, Scalar val, const GpuMat& mask )
gpu::Stream::enqueueConvert
---------------------------
Converts matrix type, ex from float to uchar depending on type.
.. ocv:function:: void gpu::Stream::enqueueConvert( const GpuMat& src, GpuMat& dst, int dtype, double a=1, double b=0 )
gpu::Stream::enqueueHostCallback
--------------------------------
Adds a callback to be called on the host after all currently enqueued items in the stream have completed.
.. ocv:function:: void gpu::Stream::enqueueHostCallback(StreamCallback callback, void* userData)
.. note:: Callbacks must not make any CUDA API calls. Callbacks must not perform any synchronization that may depend on outstanding device work or other callbacks that are not mandated to run earlier. Callbacks without a mandated order (in independent streams) execute in undefined order and may be serialized.
gpu::StreamAccessor
-------------------
.. ocv:struct:: gpu::StreamAccessor
@@ -640,4 +640,3 @@ Converts matrices obtained via :ocv:func:`gpu::BruteForceMatcher_GPU_base::radiu
.. ocv:function:: void gpu::BruteForceMatcher_GPU_base::radiusMatchConvert(const Mat& trainIdx, const Mat& imgIdx, const Mat& distance, const Mat& nMatches, std::vector< std::vector<DMatch> >& matches, bool compactResult = false)
If ``compactResult`` is ``true`` , the ``matches`` vector does not contain matches for fully masked-out query descriptors.

Alguns arquivos não foram exibidos porque demasiados arquivos foram alterados neste diff Mostrar Mais