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Author SHA1 Message Date
Alexander Alekhin dc15187f1b release: OpenCV 3.4.12 2020-10-10 20:14:29 +00:00
Alexander Alekhin ae1a249a0a Merge pull request #18557 from alalek:cuda_cmake_fix_auto 2020-10-10 20:02:03 +00:00
Alexander Alekhin 171fbf879f cmake: fix typo in CUDA_GENERATION=Auto cache 2020-10-09 22:00:02 +00:00
Alexander Alekhin 8a1caa0d16 Merge pull request #18554 from alalek:issue_17945 2020-10-09 19:54:17 +00:00
Alexander Alekhin cdcf7e62f3 dnn(opencl): bypass unsupported fusion cases 2 2020-10-09 18:59:08 +00:00
Alexander Alekhin 083727b0a6 Merge pull request #18551 from alalek:issue_17964 2020-10-09 16:08:12 +00:00
Alexander Alekhin 718dd9f170 dnn(opencl): bypass unsupported fusion cases 2020-10-09 12:33:06 +00:00
Alexander Alekhin 6c218c7b0f Merge pull request #18545 from alalek:enable_tests_17953 2020-10-08 21:39:48 +00:00
Alexander Alekhin e87a0baa4b dnn(test): enable tests from issue 17953 2020-10-08 20:27:03 +00:00
Alexander Alekhin 8ee5f2ad89 Merge pull request #18534 from alalek:build_opencv_winpack_dldt_2021.1.0 2020-10-08 15:32:03 +00:00
Alexander Alekhin ee76cef1ff Merge pull request #18527 from alalek:dnn_test_openvino 2020-10-08 15:27:50 +00:00
Alexander Alekhin 6da05f7086 dnn(test): update tests for OpenVINO 2021.1 2020-10-08 10:22:31 +00:00
Alexander Alekhin e24b1629a0 Merge pull request #18536 from alalek:backport_doxygen_style_18195 2020-10-07 21:35:58 +00:00
Alexander Alekhin d9ea9bedb2 doxygen: backport style changes 2020-10-07 20:16:40 +00:00
Alexander Alekhin 1546b9bf99 build: winpack_dldt with dldt 2021.1.0 2020-10-07 16:16:53 +00:00
Alexander Alekhin 62b5d37b6b Merge pull request #18526 from alalek:fix_uninitialized_warnings 2020-10-06 22:49:55 +00:00
Alexander Alekhin d78d9bf151 Merge pull request #18519 from alalek:fix_javadoc 2020-10-06 22:48:21 +00:00
Alexander Alekhin a5f0fb6008 Merge pull request #18518 from alalek:backport_17993 2020-10-06 22:47:45 +00:00
Alexander Alekhin f2bb3d0d80 videoio(dc1394_v2): ensure variable initialization 2020-10-06 21:00:36 +00:00
Alexander Alekhin 037a72debd Merge pull request #18517 from alalek:backport_18031 2020-10-06 19:56:49 +00:00
Alexander Alekhin 1ef4b7ae5a Merge pull request #18515 from alalek:test_18473 2020-10-06 19:39:28 +00:00
Alexander Alekhin b314cc4c23 Merge pull request #18506 from alalek:issue_18472 2020-10-06 19:37:40 +00:00
Alexander Alekhin 644de8f22a java: fix javadoc generation 2020-10-06 04:28:25 +00:00
Maksim Doronin 36f61f3879 [IE][VPU]: Refactor vpu configs
backported commit: 7fe87d9a5b
2020-10-05 20:27:52 +00:00
Ilya Churaev aa11f7d8a3 Removed get_output_as_single_output_node method
backported commit: 5fd3d36fe8
2020-10-05 20:24:21 +00:00
Alexander Alekhin f30aafc3cc core(test): regression test for 18473 2020-10-05 17:14:22 +00:00
Alexander Alekhin 2f065b8b4c Merge pull request #18509 from alalek:issue_18392 2020-10-05 17:03:27 +00:00
Alexander Alekhin aece3e732e Merge pull request #18507 from sizeofvoid:openbsd 2020-10-05 17:02:38 +00:00
Alexander Alekhin ebe9327a92 Merge pull request #18473 from BioDataAnalysis:bda_fix_cv_mat_steps 2020-10-05 16:59:05 +00:00
Mario Emmenlauer 102d8f67cd matrix.cpp::setSize(): fixed out-of-bounds access on cv::Mat steps 2020-10-05 10:19:53 +02:00
Alexander Alekhin a00fe15abd dnn: check for empty Net in .forward() 2020-10-05 06:23:47 +00:00
Rafael Sadowski 3acf8cfd63 Add an OpenBSD check 2020-10-05 08:23:23 +02:00
Alexander Alekhin d34717d8c9 core: allow to disable including of unsupported/Eigen/CXX11/Tensor
- define OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT
2020-10-04 15:14:46 +00:00
Alexander Alekhin a5b8f163d7 Merge pull request #18488 from alalek:maxflow_missing_check 2020-10-02 15:04:28 +00:00
Alexander Alekhin 6add3b9161 Merge pull request #18487 from aitikgupta:unnecessary-variable 2020-10-02 15:03:59 +00:00
Alexander Alekhin 1ddd61f98a Merge pull request #18458 from sturkmen72:Update_window_w32_cpp 2020-10-02 15:00:44 +00:00
Alexander Alekhin 3503a36e5e Merge pull request #18444 from aitikgupta:check-minimum-points 2020-10-02 14:59:07 +00:00
Alexander Alekhin 2ea7269450 Merge pull request #18431 from zhuqiang00099:fix-darknet_relu 2020-10-02 14:58:48 +00:00
zhuqiang00099 a968eadbf1 fix darknet-relu bug in darknet_io.cpp 2020-10-02 06:16:38 +00:00
Alexander Alekhin c6b63e0e28 calib3d/imgproc: add GCGraph::maxFlow() missing empty checks 2020-10-02 05:15:20 +00:00
Aitik Gupta 7bd8ddc8fa removed no-affect variable 2020-10-02 09:27:16 +05:30
Suleyman TURKMEN 14e264f646 Update window_w32.cpp 2020-09-29 21:50:06 +03:00
Alexander Alekhin 969b55036f Merge pull request #18438 from alalek:dnn_onnx_importer_error_reporting 2020-09-29 13:49:02 +00:00
Aitik Gupta cbf978d1f7 added minPoints Homography test 2020-09-29 01:04:15 +05:30
Aitik Gupta 94e0ac7d9f need atleast 4 corresponding points to calculate homography 2020-09-29 01:04:01 +05:30
Alexander Alekhin 08b36e4f48 Merge pull request #18449 from alalek:ios_dont_disable_world_automatically 2020-09-28 18:46:28 +00:00
Alexander Alekhin d62d880316 Merge pull request #18447 from alalek:fix_17953 2020-09-28 18:45:31 +00:00
Alexander Alekhin 361b5e0ebf Merge pull request #18430 from alalek:ippicv_tpp 2020-09-28 18:45:00 +00:00
Alexander Alekhin c16e2e6234 ios: don't force BUILD_opencv_world=OFF in case of excluded modules 2020-09-28 01:11:15 +00:00
Alexander Alekhin c08f29c803 dnn(opencl): fix convolution kernel w/o bias with activation 2020-09-27 23:42:30 +00:00
Alexander Alekhin ecb6d03ccd Merge pull request #18445 from alalek:fix_test_python_ml 2020-09-27 23:12:02 +00:00
Alexander Alekhin e59793cc75 dnn: improve debugging of ONNX parsing errors 2020-09-27 23:04:48 +00:00
Alexander Alekhin 236ad4aeda Merge pull request #18441 from alalek:core_check_force_string_literals 2020-09-27 23:03:18 +00:00
Alexander Alekhin 97bb91d5fa ml: fix python test 2020-09-27 21:14:55 +00:00
Alexander Alekhin 233030e417 core: force check for string literals are used in the message 2020-09-27 06:37:44 +00:00
Alexander Alekhin 6256e425f3 Merge pull request #18434 from tomoaki0705:loosenDNNEps 2020-09-26 21:08:13 +00:00
Tomoaki Teshima 48368dc9a1 loosen threshold for Mali 2020-09-27 00:37:52 +09:00
Alexander Alekhin 691c655630 ippicv: install third-party-programs.txt file 2020-09-25 22:09:25 +00:00
Alexander Alekhin b88ad7f2d9 Merge pull request #18427 from tomoaki0705:improveFlipTest 2020-09-25 19:49:26 +00:00
Alexander Alekhin b300b6b3bd Merge pull request #18424 from tomoaki0705:addRTX3080s 2020-09-25 19:48:04 +00:00
Tomoaki Teshima 234117800f brush up by following the comments 2020-09-25 23:57:15 +09:00
Tomoaki Teshima ac58b2f857 compute capability 8.6
- CC for RTX3090, RTX3080 and RTX3070
2020-09-25 22:33:55 +09:00
Alexander Alekhin 220b37144b Merge pull request #18395 from tomoaki0705:fixNativePow 2020-09-23 18:27:45 +00:00
Tomoaki Teshima 74c8ccb45b fix build error of kernel on Mali 2020-09-23 21:38:12 +09:00
Alexander Alekhin 9cfe981e1f Merge pull request #18378 from nathanrgodwin:ippe_fix 2020-09-23 09:13:49 +00:00
Nathan Godwin 2f9072efdc Fixed assertions on ippe solver 2020-09-21 21:56:28 -05:00
Alexander Alekhin 5e90802b1a Merge pull request #18363 from alalek:issue_18349 2020-09-19 16:53:34 +00:00
Alexander Alekhin 45fee13f3d Merge pull request #18362 from alalek:ocl_async_kernel_reschedule_bug 2020-09-19 16:53:16 +00:00
Alexander Alekhin 261ad78122 core: emit more clear messages in OutputArray::create() 2020-09-18 15:25:29 +00:00
Alexander Alekhin 4fa82809df ocl: avoid rescheduling of async kernels 2020-09-18 14:53:50 +00:00
Alexander Alekhin 3e3787ecb6 Merge pull request #18360 from tomoaki0705:fixClampFailure 2020-09-18 13:10:36 +00:00
Alexander Alekhin a723aaedd8 Merge pull request #18354 from takehirokj:fix_typo_in_doc 2020-09-18 13:10:10 +00:00
Liubov Batanina ebb528976f Merge pull request #18353 from l-bat:issue_18350
* Fixed bug in ONNX Mul op

* Replaced node
2020-09-18 13:01:14 +00:00
Tomoaki Teshima f77c2d700f add explicit cast for half 2020-09-18 21:04:24 +09:00
Takehiro Kajihara 8c44b8306b Fix typo in videoio doc 2020-09-18 07:34:10 +09:00
Alexander Alekhin e668cff573 Merge pull request #18348 from tomoaki0705:fixNppFlipInplace 2020-09-17 13:56:17 +00:00
Sergei Slashchinin fa953e4205 Merge pull request #18316 from sl-sergei:fix_18253
Fix loading of ONNX models with Resize operation with Opset 11 for newer versions of Pytorch

* Add reproducer for Resize operation from newer versions of Pytorch

* Fix loading of scales parameter for Resize layer

* Change check type for better diagnostic messages
2020-09-17 11:05:22 +00:00
Maksim Shabunin 540982cc9d Merge pull request #18331 from or-toledano:3.4 2020-09-16 21:00:05 +00:00
Tomoaki Teshima a61546680b use only even number for inplace flip 2020-09-16 15:45:03 +09:00
Alexander Alekhin 8cb7eae5c9 Merge pull request #18294 from mshabunin:install-bin-samples 2020-09-15 19:38:02 +00:00
Alexander Alekhin 18440c1faf Merge pull request #18314 from gilsho:components 2020-09-14 20:15:38 +00:00
Alexander Alekhin 9f69ca503a Merge pull request #18325 from alalek:issue_18166 2020-09-14 18:17:58 +00:00
or-toledano 49ba744130 Fix np row,column to cv y,x
This explanation was created to avoid confusion, but it seems like the author was confused :D
2020-09-14 14:23:38 +03:00
Alexander Alekhin 4b24ddd70d Merge pull request #18317 from sl-sergei:restored_pr_17629 2020-09-13 12:51:41 +00:00
Gil Shotan 1612db5f91 Fix signed integer overflow in connected components 2020-09-13 11:20:42 +00:00
Alexander Alekhin 7dfe68cac6 imgcodecs: lazy on-demand codecs initialization 2020-09-13 11:14:56 +00:00
Alexander Alekhin 83807811cd Merge pull request #18299 from l-bat:onnx_reduce_max 2020-09-12 22:01:09 +00:00
Shubham Singh 23e71d1aa2 fixes #17187 probably
Added Eltwise Layer Support
2020-09-11 18:53:42 +03:00
Liubov Batanina b542a1804c Support global reduce ops 2020-09-09 11:56:20 +03:00
Maksim Shabunin 2dff2f36bf Install: added prebuilt samples installation 2020-09-08 20:22:26 +03:00
Alexander Alekhin 6b674709b8 Merge pull request #18284 from alalek:update_ffmpeg_3.4 2020-09-08 11:26:48 +00:00
Alexander Alekhin f56445d7ca ffmpeg/3.4: update FFmpeg wrapper
- FFmpeg 3.4.8
2020-09-07 17:55:22 +00:00
Alexander Alekhin 03bee14372 Merge pull request #18282 from alalek:update_version_3.4.12-pre 2020-09-07 16:57:21 +00:00
Alexander Alekhin 50ff40d684 pre: OpenCV 3.4.12 (version++) 2020-09-06 22:26:32 +00:00
Danny c31164bf1e Merge pull request #18126 from danielenricocahall:add-oob-error-sample-weighting
Account for sample weights in calculating OOB Error

* account for sample weights in oob error calculation

* redefine oob error functions

* fix ABI compatibility
2020-09-05 18:52:10 +00:00
Alexander Alekhin 3835ab394e Merge pull request #18265 from alalek:fixup_17489 2020-09-04 17:02:08 +00:00
Danny 20b23da8e2 Merge pull request #18061 from danielenricocahall:fix-kd-tree
Fix KD Tree kNN Implementation

* Make KDTree mode in kNN functional

remove docs and revert change

Make KDTree mode in kNN functional

spacing

Make KDTree mode in kNN functional

fix window compilations warnings

Make KDTree mode in kNN functional

fix window compilations warnings

Make KDTree mode in kNN functional

casting

Make KDTree mode in kNN functional

formatting

Make KDTree mode in kNN functional

* test coding style
2020-09-04 17:01:05 +00:00
Alexander Alekhin f6795d75a6 videoio: repair build of FFmpeg windows wrapper 2020-09-04 15:36:10 +00:00
Alexander Alekhin fa11b98800 Merge pull request #18255 from alalek:backport_18243 2020-09-02 22:50:21 +00:00
Alexander Alekhin 64c67a93d3 Merge pull request #18246 from YashasSamaga:dnn-permute-fix-unwanted-ocl-init 2020-09-02 21:15:19 +00:00
Alexander Alekhin 154380ccf5 Merge pull request #18234 from l-bat:onnx_reshape 2020-09-02 19:31:22 +00:00
Alexander Alekhin 1f2c83845d backport: checks and fixes from static code analyzers results
original commit: 71f665bd8c
2020-09-02 19:05:47 +00:00
Liubov Batanina 2349a09736 Support Reshape with zero dim 2020-09-02 11:58:43 +03:00
YashasSamaga 1df533c914 fix typo in fusion tests 2020-09-02 14:25:36 +05:30
YashasSamaga 44bf748479 do not allocate UMat in non-OpenCL targets 2020-09-02 12:18:41 +05:30
Alexander Alekhin f9fbd29c14 Merge pull request #18225 from dmici:fix_missing_0.5_factor_in_anisotropic_segmentation_tutorial 2020-09-01 20:49:59 +00:00
pemmanuelviel 31dc3e9256 Merge pull request #18211 from pemmanuelviel:pev--handle-dna-vectors
* DNA-mode: update miniflann to handle DNA

* DNA-mode: update hierarchical kmeans to handle DNA sequences
2020-09-01 20:38:21 +00:00
Yosshi999 698b2bf729 Merge pull request #18167 from Yosshi999:bit-exact-gaussian
Bit exact gaussian blur for 16bit unsigned int

* bit-exact gaussian kernel for CV_16U

* SIMD optimization

* template GaussianBlurFixedPoint

* remove template specialization

* simd support for h3N121 uint16

* test for u16 gaussian blur

* remove unnecessary comments

* fix return type of raw()

* add typedef of native internal type in fixedpoint

* update return type of raw()
2020-09-01 10:28:25 +00:00
Alexander Alekhin 1d42560018 Merge pull request #18235 from alalek:ocl_off_cleanup 2020-08-31 20:37:41 +00:00
Alexander Alekhin efcf307b4c ocl: cleanup dead code in case of disabled OpenCL 2020-08-31 11:30:42 +00:00
dmici 6876f3b91d fix missing 0.5 factor in anisotropic segmentation tutorial 2020-08-30 10:17:50 +02:00
Yosshi999 7495a4722f Merge pull request #18053 from Yosshi999:bit-exact-resizeNN
Bit-exact Nearest Neighbor Resizing

* bit exact resizeNN

* change the value of method enum

* add bitexact-nn to ResizeExactTest

* test to compare with non-exact version

* add perf for bit-exact resizenn

* use cvFloor-equivalent

* 1/3 scaling is not stable for floating calculation

* stricter test

* bugfix: broken data in case of 6 or 12bytes elements

* bugfix: broken data in default pix_size

* stricter threshold

* use raw() for floor

* use double instead of int

* follow code reviews

* fewer cases in perf test

* center pixel convention
2020-08-28 21:20:05 +03:00
Alexander Alekhin 7ce56b3a47 Merge pull request #18207 from pemmanuelviel:pev--fix-memset 2020-08-27 17:10:23 +00:00
Pierre-Emmanuel Viel 5376863c0c bugfix 2020-08-27 12:21:02 +02:00
Alessandro de Oliveira Faria (A.K.A.CABELO) a86e036594 Merge pull request #18184 from cabelo:yolov4-in-model
ADD yolov4 in models.yml
2020-08-26 22:30:12 +00:00
Alexander Alekhin 01324b02e7 Merge pull request #18136 from nglee:dev_cudaEqualizeHistBitExact 2020-08-26 12:11:43 +00:00
Alexander Alekhin 792722865f Merge pull request #17919 from zhaoyue-zephyrus:flownet2_with_anysize 2020-08-26 11:43:17 +00:00
Sergei Slashchinin 9aa401a7d0 Merge pull request #17978 from sl-sergei:fix_17516_17531
* Fix ONNX loading in issues opencv#17516, opencv#17531

* Add tests for Linear and Matmul layers

* Disable tests for IE versions lower than 20.4

* Skip unstable tests with OpenCL FP16 on Intel GPU

* Add correct test filtering for OpenCL FP16 tests
2020-08-26 10:15:59 +00:00
jinyup100 a160e4fb6b Merge pull request #17647 from jinyup100:add-siamrpnpp
[GSoC] Add siamrpnpp.py

* Updated base branch with siamrpnpp.py

* Addition of Parsers

* Merged to using few ONNX files, Changes to Parsers, Links to Repo

* Deleted whitespace

* Adjusting flake8 error

* Fixes according to review

* Fix according to review

* Addition of OpenVINO backends and Computation target devices

* Fix on backend after review

* Fixes after review

* Remove extra white space

* Removed Repeated Varaibles
2020-08-25 20:01:16 +00:00
Alexander Alekhin c7422e4d90 Merge pull request #18171 from catree:fix_pnp_doc 2020-08-25 18:24:30 +00:00
Alexander Alekhin 485d2b593c Merge pull request #18178 from catree:improve_camera_matrix_doc 2020-08-25 13:33:39 +00:00
Alexander Alekhin 1bea537731 Merge pull request #18165 from catree:fix_hand_eye_calibration_Andreff_NaN_3.4 2020-08-25 13:28:21 +00:00
Alexander Alekhin 75e88d613f Merge pull request #18185 from VadimLevin:dev/vlevin/ffmpeg-versions-guard-fix 2020-08-25 07:29:42 +00:00
catree 379b83e946 Fix cubic root computation to be able to handle negative values. Improve doc. Add regression test. 2020-08-25 03:37:56 +02:00
catree dda1bf1887 Add broken implementation note for DLS and UPnP.
Add CV_LOG_DEBUG.
2020-08-25 03:07:00 +02:00
Vadim Levin f7e524cbe6 fix: libavcodec version check for AVDISCARD_NONINTRA
- AVDISCARD_NONINTRA flag is supported only for FFMPEG libraries pack
2020-08-24 23:12:49 +03:00
Vadim Levin e503ac508e fix: libavcodec version check for AV_CODEC_FLAG_GLOBAL_HEADER 2020-08-24 23:07:25 +03:00
Alexander Alekhin f5ba3f51ce Merge pull request #18181 from l-bat:onnx_pow 2020-08-24 14:18:08 +00:00
Liubov Batanina d392b11dfb Supported ONNX Pow op 2020-08-24 11:20:18 +03:00
catree cd01ee9a54 Use camera intrinsic matrix everywhere. Add cameramatrix, distcoeffs and distcoeffsfisheye macros to avoid copy/paste errors. 2020-08-24 05:39:23 +02:00
Ian Maquignaz 8c1af09989 Merge pull request #18083 from IanMaquignaz:fix_gen_pattern_centering
* Fixed centering issue with make_cicle_pattern and make_acircle_pattern()

* Fixed issue where asymmetric circles were not at 45 degree angles. Also fixed support for inch measurement by converting parsing to usage of floating points for page size

* Fixed copy-paste error from experimental workspace
2020-08-23 22:32:58 +00:00
Alexander Alekhin f53ff0d01c Merge pull request #18151 from alalek:core_trace_fix_location 2020-08-21 18:54:40 +00:00
Alexander Alekhin 4f48dab023 Merge pull request #18150 from alalek:ocl_async_cleanup_no_warning 2020-08-21 18:54:08 +00:00
Namgoo Lee a7ffcaab28 Remove compiler warnings 2020-08-21 23:52:30 +09:00
Namgoo Lee f617f18e46 bit-exact cuda::equalizeHist 2020-08-21 22:53:40 +09:00
Alexander Alekhin 4372d75b26 Merge pull request #18135 from AnnaPetrovicheva:logo_text 2020-08-21 13:07:26 +00:00
Anna Petrovicheva 885fb703cf Added a note about OpenCV logo 2020-08-21 11:18:40 +03:00
Alexander Alekhin cd00d8f3f0 core(trace): lazy quering for OPENCV_TRACE_LOCATION
- fixes proper initialization of non-trivial variable
2020-08-20 21:48:05 +00:00
Alexander Alekhin b3755e617c ocl: silence warning in case of async cleanup
- OpenCL kernel cleanup processing is asynchronous and can be called even after forced clFinish()
- buffers are released later in asynchronous mode
- silence these false positive cases for asynchronous cleanup
2020-08-20 19:33:37 +00:00
Alexander Alekhin fc0f9da7a7 Merge pull request #18084 from pemmanuelviel:pev--add-DNA-distances 2020-08-20 13:26:02 +00:00
Alexander Alekhin 277961fa25 Merge pull request #18085 from pemmanuelviel:pev--add-DbgAssert-checks 2020-08-20 13:25:02 +00:00
Alexander Alekhin 14a9103fc0 Merge pull request #18129 from pemmanuelviel:pev--update-stereo-sample 2020-08-20 13:21:58 +00:00
Pierre-Emmanuel Viel 6d1f7c2b1b Update the stereo sample:
* add the HH4 mode
* option to display disparity with a color map
* display current settings in the title bar
* don't close app when wanting to take screenshots
2020-08-20 12:20:25 +02:00
Alexander Alekhin 2c1f3487a4 Merge pull request #18037 from danielenricocahall:improve-brisk-init-perf 2020-08-18 20:06:17 +00:00
Alexander Alekhin acc6189da0 Merge pull request #18022 from SoheibKadi:Update_CornerSubPix_Documentation 2020-08-18 13:19:18 +00:00
danielenricocahall ac177b849c Improve initialization performance of Brisk
reformatting

Improve initialization performance of Brisk

fix formatting

Improve initialization performance of Brisk

formatting

Improve initialization performance of Brisk

make a lookup table for ring

use cosine/sine lookup table for theta in brisk and utilize trig identity

fix ring lookup table

use cosine/sine lookup table for theta in brisk and utilize trig identity

formatting

use cosine/sine lookup table for theta in brisk and utilize trig identity

move scale radius product to ring loop to ensure it's not recomputed for each rot

revert change

move scale radius product to ring loop to ensure it's not recomputed for each rot

remove rings lookup table

move scale radius product to ring loop to ensure it's not recomputed for each rot

fix formatting of for loop

move scale radius product to ring loop to ensure it's not recomputed for each rot

use sine/cosine approximations for brisk lookup table.

add documentation for sine/cosine lookup tables

Improve initialization performance of BRISK
2020-08-18 07:11:21 -04:00
Alexander Alekhin 29aeebf5bc Merge pull request #18119 from tomoaki0705:fixFfmpegBuildFailure 2020-08-17 19:25:55 +00:00
Tomoaki Teshima cc769ff19d fix build error on odroid-n2-plus 2020-08-17 21:24:54 +09:00
Yosshi999 1834eed809 Merge pull request #18001 from Yosshi999:sift-8bit-descr
* 8-bit SIFT descriptors

* use clearer parameter

* update docs

* propagate type info

* overload function for avoiding ABI-break

* bugfix: some values are undefined when CV_SIMD is absent
2020-08-17 10:28:44 +00:00
Alexander Alekhin b34234ac14 Merge pull request #18105 from alalek:highgui_gtk_dont_terminate 2020-08-17 08:52:01 +00:00
Alexander Alekhin 7ec9f52509 highgui: don't terminate if we can't initialize GTK backend
- allow Users to handle such case
- exception will be thrown instead
2020-08-16 09:30:09 +00:00
nhlsm 68f527267b Merge pull request #18080 from nhlsm:improve-mat-operator-assign-scalar
* improve Mat::operator=(Scalar)

* touch

* remove trailing whitespace

* TEST: check if old code pass test or not

* remove CV_Error

* remove warning

* fix: is -> Scalar

* 1) Mat *mat -> Mat &mat 2) return bool, add output param

* add comment
2020-08-14 17:21:23 +00:00
Alexander Alekhin 7f22b34c78 Merge pull request #18092 from alalek:ocl_fix_image_format 2020-08-14 17:10:36 +00:00
Liubov Batanina ad63d24dba Merge pull request #18096 from l-bat:update_onnx_importer
* Added ReduceSum to ONNX importer

* Fix comments

* Fix Mul
2020-08-14 16:49:42 +00:00
Alexander Alekhin 3b5813c035 Merge pull request #18078 from l-bat:fix_matmul 2020-08-14 13:46:46 +00:00
Liubov Batanina 339b963e6b Fix MatMul and Add axes 2020-08-14 11:18:58 +03:00
Alexander Alekhin 00890aecdf core(ocl): fix ocl::Image2d::isFormatSupported()
in case of OPENCV_OPENCL_DEVICE=disabled
2020-08-13 18:33:18 +00:00
Yashas Samaga B L 2171cae8ff Merge pull request #17976 from YashasSamaga:dnn-fusion-tests-fix-ocl
dnn: add exhaustive fusion tests, enable more eltwise fusions

* add eltwise fusion tests, enable more eltwise fusions

* merge weighted eltwise tests with eltwise tests
2020-08-13 10:55:41 +00:00
Pierre-Emmanuel Viel 3f55152ca0 Add debug assert to check in FLANN the vectors size is multiple of the architecture word size 2020-08-12 23:07:35 +02:00
Liubov Batanina f3cebb3e1b Merge pull request #18077 from l-bat:reduce_sum
* Supported ReduceSum op

* Skip test
2020-08-12 14:32:16 +00:00
Alexander Alekhin 2b227f00f2 Merge pull request #18074 from pemmanuelviel:pev--kmeans-refactoring 2020-08-12 13:18:20 +00:00
Pierre-Emmanuel Viel 98de57c6c4 Refactoring to prepare for other vector types while mutualizing some methods 2020-08-12 00:57:37 +02:00
zhaoyue-zephyrus e231be86b7 support flownet2 with arbitary input size
revise default proto to match the filename in documentations

fix a bug

beautify python codes

fix bug

beautify codes

add test samples with larger/smaller size

remove unless code

using bytearray without creating tmp file

remove useless codes
2020-08-12 00:50:58 +08:00
Elizarov Ilya 7ec221e734 Merge pull request #18033 from ieliz:dasiamrpn
Improving DaSiamRPN tracker sample

* changed layerBlobs in dnn.cpp and added DaSiamRPN tracker

* Improving DaSiamRPN tracker sample

* Docs fix

* Removed outdated changes

* Trying to reinitialize tracker without reloading models. Worked with LaSOT-based benchmark with reinit rate=250 frames

* Trying to reverse changes

* Moving the model in the constructor

* Fixing some issues with names

* Variable name changed

* Reverse parser arguments changes
2020-08-11 11:46:47 +03:00
pemmanuelviel fe9ff64d64 Merge pull request #17643 from pemmanuelviel:pev--new-flann-demo
* Add a FLANN example showing how to search a query image in a dataset

* Clean: remove warning

* Replace dependency to boost::filesystem by calls to core/utils/filesystem

* Wait for escape key to exit

* Add an example of binary descriptors support

* Add program options for saving and loading the flann structure

* Fix warnings on Win64

* Fix warnings on 3.4 branch still relying on C++03

* Add ctor to img_info structure

* Comments modification

* * Demo file of FLANN moved and renamed

* Fix distances type when using binary vectors in the FLANN example

* Rename FLANN example file

* Remove dependency of the flann example to opencv_contrib's SURF.

* Remove mention of FLANN and other descriptors that aimed at giving hint on the other options

* Cleaner program options management

* Make waitKey usage minimal in FLANN example

* Fix the conditions order

* Use cv::Ptr
2020-08-10 13:26:40 +00:00
Alexander Alekhin 3f65c12d0c Merge pull request #17982 from nglee:dev_cudaGpuMatConvertToInplaceFix 2020-08-09 20:21:17 +00:00
Alexander Alekhin 336627a776 Merge pull request #18048 from l-bat:onnx_torchvision 2020-08-06 20:21:47 +00:00
Liubov Batanina 6226ea0085 Fix bug in ONNX Gather op 2020-08-06 15:47:34 +03:00
Alexander Alekhin 1067cd0649 Merge pull request #18036 from alalek:backport_17858 2020-08-04 20:16:22 +00:00
Vadim Pisarevsky 1537ecd931 * added depth-wise convolution; gives ~20-30% performance improvement in MobileSSD networks
* hopefully, eliminated compile warnings, errors, as well as failure in one test

* * fixed a few typos
* decreased buffer size in some cases
* added more optimal im2row branch in the case of 1x1 convolutions
* tuned fastConv to reduce the number of passes over arrays

backport of commit 77b01deb80
2020-08-04 17:34:48 +00:00
Alexander Alekhin 5b5c42d2c7 Merge pull request #18027 from dkurt:dnn_backport_ngraph 2020-08-04 16:24:11 +00:00
Alexander Alekhin 161890dad4 Merge pull request #18017 from danielenricocahall:add-relu-to-darknet 2020-08-04 16:17:07 +00:00
Alexander Alekhin 35846fe735 Merge pull request #18008 from gsmatos:document-patchnans 2020-08-04 16:15:53 +00:00
Gabriel 96ce65f021 Document PatchNANs input type 2020-08-03 22:57:18 -03:00
danielenricocahall 8457e471fd add relu as activation option in darknet
add relu option

add relu as activation option in darknet

simplify the setParams if-else ladder

add relu as activation option in darknet

correct activation_param type

format

format

add relu as activation option in darknet

spacing

spacing

add relu as activation option in darknet
2020-08-03 19:19:35 -04:00
Ilya Churaev 246de2b7f5 Replaced copy_with_new_args to clone_with_new_inputs 2020-08-03 23:08:29 +03:00
Ilya Churaev e8c26963e9 Fixed removing is_parameter, is_constant, is_output 2020-08-03 23:08:22 +03:00
pemmanuelviel 793e7c0d9f Merge pull request #18019 from pemmanuelviel:pev--multiple-kmeans-trees
* Possibility to set more than one tree for the hierarchical KMeans (default is still 1 tree).

This particularly improves NN retrieval results with binary vectors, allowing better quality
compared to LSH for similar processing time when speed is the criterium.

* Add explanations on the FLANN's hierarchical KMeans for binary data.
2020-08-03 18:29:57 +00:00
Alexander Alekhin 3b337a12c9 Merge pull request #18018 from danielenricocahall:add-compose-panorama-python-binding 2020-08-03 18:28:18 +00:00
Alexander Alekhin 2c32cb743c Merge pull request #18016 from pemmanuelviel:pev--cleaner-hierarchical-clustering 2020-08-03 18:27:11 +00:00
Alexander Alekhin 883b995fd6 Merge pull request #18012 from sturkmen72:update_doc_and_sample 2020-08-03 18:26:12 +00:00
Alexander Alekhin a28533933f Merge pull request #17998 from dkurt:dnn_fix_ngraph 2020-08-03 18:23:11 +00:00
Liubov Batanina d695208727 Merge pull request #17967 from l-bat:non_const_weights_for_conv
* Supported convolution with non-const weights

* Fix opencl blobs

* Update tests
2020-08-03 18:02:49 +00:00
kadi soheib 613ff61de7 Added reference to paper. 2020-08-03 18:07:36 +03:00
Alexander Alekhin 65b02cc8f2 Merge pull request #17742 from SoheibKadi/DetectionOutput_layer_doc
Adding comment from source code to DetectionOutputLayer class documentation
2020-08-03 17:17:04 +03:00
Alexander Alekhin 1c8ee3f957 Merge pull request #17885 from alalek:dnn_ocl_slice_update
DNN: OpenCL/slice update

* dnn(ocl/slice): make slice kernel VTune friendly

- more unique names
- inline code of copy functions

* dnn(ocl/slice): prefer to spawn more work groups

- even in case with 1D copy
- perf improvement up to 2x of kernel time (due to changed configuration 128x1x1 => 128x32x1)

* dnn(ocl/slice): cache kernel exec info
2020-08-03 14:13:34 +00:00
Yosshi999 922108060d Merge pull request #17907 from Yosshi999:gsoc_asift-py2cpp
* Implement ASIFT in C++

* '>>' should be '> >' within a nested template

* add a sample for asift usage

* bugfix empty keypoints cause crash

* simpler initialization for mask

* suppress the number of lines

* correct tex document

* type casting

* add descriptorsize for asift

* smaller testdata for asift

* more smaller test data

* add OpenCV short license header
2020-08-03 14:11:55 +00:00
Alexander Alekhin ce74285c5e Merge pull request #17478 from tomoaki0705:dropOldCC 2020-08-03 13:00:41 +00:00
Suleyman TURKMEN c262eea84a Update warpPerspective_demo.cpp 2020-08-03 12:14:01 +03:00
danielenricocahall f2ca7e664a add python binding and tests for composePanorama
fix tests

    pick 54039c2afd add python binding and tests for composePanorama
2020-08-02 19:29:16 -04:00
Dmitry Kurtaev cf8f65d806 Do not use size_t for nGraph layers 2020-08-02 20:50:44 +03:00
Pierre-Emmanuel Viel bc221bdb90 Cleaner code for hierarchical_clustering 2020-08-02 18:05:54 +02:00
kadi soheib 6bed5c181b Corrected Comment as requested by reviewer. 2020-07-31 23:43:38 +03:00
Maksim Shabunin f162c08cda Merge pull request #17987 from mshabunin:fix-xcode-carotene 2020-07-31 09:08:10 +00:00
Maksim Shabunin 0d1d452b79 Merge pull request #17983 from Windfisch:Windfisch-patch-jpeg2000 2020-07-31 09:07:35 +00:00
Pavel Rojtberg 3c3e131c38 Merge pull request #17977 from paroj:hervec
* calib3d: calibrateHandEye - allow using Rodrigues vectors for rotation

* calib3d: calibrateHandEye - test rvec representation
2020-07-30 22:59:15 +03:00
Maksim Shabunin a218cf3c61 Merge pull request #17957 from AnnaPetrovicheva:ap/update-logo 2020-07-30 19:56:32 +00:00
Maksim Shabunin 866468cc3e Fix Carotene compilation with XCode 2020-07-30 22:52:29 +03:00
Florian Jung f66fc199a2 Fix build of grfmt_jpeg2000.cpp
libjasper has recently changed `jas_matrix_get` from a macro to an inline function
(389951d071 in https://github.com/jasper-software/jasper), causing the build to fail.
2020-07-30 19:23:52 +02:00
Namgoo Lee 11ac26bfb4 test code 2020-07-30 01:42:44 +09:00
Namgoo Lee 2241bfb0df Use "src" not "*this" for source GpuMat 2020-07-30 01:03:34 +09:00
Tomoaki Teshima d92af2aa85 * stop showing old generations
* keep it possible to build for old CC
  * make sure old generations don't come up for the choice
  * remove related version check of old one
2020-07-29 17:31:39 +09:00
Alexander Alekhin e4d573a080 Merge pull request #17916 from SinM9:mish_functor_sin 2020-07-28 17:05:59 +00:00
Anna Petrovicheva f86c8656a3 Updated the OpenCV logo 2020-07-28 18:31:21 +03:00
Maksim Shabunin 6697f0ea86 Merge pull request #17925 from sturkmen72:patch-2 2020-07-28 13:18:16 +00:00
Maksim Shabunin e935f06f16 Merge pull request #17928 from sturkmen72:update_samples 2020-07-27 08:32:25 +00:00
Maksim Shabunin 1e18004bdd Merge pull request #17943 from tomoaki0705:fixPolarToCartRounding 2020-07-27 08:32:03 +00:00
Tomoaki Teshima 19646ad049 let the test pass on Jetson 2020-07-25 23:45:51 +09:00
Suleyman TURKMEN 7e943808b6 Update train_HOG.cpp 2020-07-23 20:23:31 +03:00
Suleyman TURKMEN 88dbee3589 Update samples 2020-07-23 20:09:37 +03:00
Maksim Shabunin 5bfa43f7d5 Merge pull request #17489 from Lapshin:ffmpeg_cap_consider_rotation_metadata_3.4 2020-07-23 08:35:51 +00:00
Alexander Smorkalov 7ed37b3fa5 MP4 autorotation tests and various fixes for Windows
- Added test for automated rotation for  MP4 videos with metadata
- Fix 180 degrees rotation bug
- Moved rotation logic to cv::VideoCapture implementation for FFmpeg and restore binary compatibility with FFmpeg wrapper.
2020-07-23 09:30:18 +03:00
Alexey Lapshin f0271e54d9 Autorotation for mp4 streams with metadata
- Add VideoCapture camera orientation property for mp4 videos with camera orientation meta.
- Add auto rotation for 90, 180, 270 degrees using cv::rotate
2020-07-23 09:27:04 +03:00
Sinitsina 0ac2f0e04c mish_functor_update 2020-07-23 09:02:00 +03:00
Maksim Shabunin ef1690ef45 Merge pull request #17913 from asmorkalov:as/connected_components_ref 2020-07-22 16:06:23 +00:00
Maksim Shabunin 0fa06b1db0 Merge pull request #17863 from nglee:dev_cudaDetachOutput 2020-07-22 08:19:32 +00:00
Alexander Smorkalov abceef74e0 Added reference to Original Wu's articte about SAUF connected components search method. 2020-07-22 10:05:55 +03:00
Maksim Shabunin 5444a6b11c Merge pull request #17890 from l-bat:onnx_gather 2020-07-21 09:38:35 +00:00
Namgoo Lee 9411cd6c07 Use in-place npp function for inplace arguments 2020-07-21 10:27:43 +09:00
Liubov Batanina a35d4f9029 Support Gather for variable inputs 2020-07-20 14:02:45 +03:00
Alexander Alekhin 284d26da05 Merge tag '3.4.11' 2020-07-17 02:06:19 +00:00
Alexander Alekhin e8d4259f9a release: OpenCV 3.4.11 2020-07-17 00:34:46 +00:00
Alexander Alekhin 8086afc60a Merge pull request #17865 from alalek:add_missing_check_17036 2020-07-17 00:28:33 +00:00
Alexander Alekhin b2ebd37ee2 Merge pull request #17856 from alalek:dnn_openvino_2020.4.0 2020-07-16 20:08:00 +00:00
Alexander Alekhin 83e6813345 imgproc: add missing check into cvtColorTwoPlane() 2020-07-16 20:01:44 +00:00
Alexander Alekhin 09f24a851e Merge pull request #17764 from alalek:issue_17762 2020-07-16 15:27:21 +00:00
Alexander Alekhin 81e027eef7 dnn: fix OpenCL implementation of Slice layer 2020-07-16 04:33:52 +00:00
Alexander Alekhin 1c371d07b5 dnn(test): adjust tests for OpenVINO 2020.4 2020-07-15 23:47:40 +00:00
Alexander Alekhin 55e8549839 dnn: eliminate IE deprecation warning 2020-07-15 23:39:06 +00:00
Alexander Alekhin f8d6c5b330 winpack_dldt: switch defaults to OpenVINO 2020.4 2020-07-15 22:13:19 +00:00
Alexander Alekhin 435b6df989 dnn: use OpenVINO 2020.4 defines
original commit: 2813aa7eb9
2020-07-15 20:13:40 +00:00
Alexander Alekhin bf8136eaa6 Merge pull request #17849 from dkurt:fix_17848 2020-07-15 18:53:46 +00:00
Dmitry Kurtaev cc584760d3 Fix TensorFlow->ONNX imports 2020-07-15 14:36:13 +03:00
Alexander Alekhin d41b20b268 Merge pull request #17830 from alalek:fix_17815 2020-07-13 18:52:34 +00:00
Alexander Alekhin 36da867caf features2d: v_fma => v_muladd for integers 2020-07-13 17:31:08 +00:00
Alexander Alekhin c5f540e3d7 Merge pull request #17806 from alalek:dnn_ie_num_threads_windows 2020-07-13 17:12:31 +00:00
pemmanuelviel c90e824342 Merge pull request #17639 from pemmanuelviel:pev--binary-kmeans
Pev binary kmeans

* Ongoing work transposing kmeans clustering method for bitfields: the computeClustering method

Ongoing work transposing kmeans clustering method for bitfields: interface computeBitfieldClustering

Fix genericity of computeNodeStatistics

Ongoing work transposing kmeans clustering method for bitfields: adapt computeNodeStatistics()

Ongoing work transposing kmeans clustering method for bitfields: adapt findNN() method

Ongoing work transposing kmeans clustering method for bitfields: allow kmeans with Hamming distance

Ongoing work transposing kmeans clustering method for bitfields: adapt distances code

Ongoing work transposing kmeans clustering method for bitfields: adapt load/save code

Ongoing work transposing kmeans clustering method for bitfields: adapt kmeans hierarchicalClustring()

PivotType -> CentersType Renaming

Fix type casting for ARM SIMD implementation of Hamming

Fix warnings with Win32 compilation

Fix warnings with Win64 compilation

Fix wrong parenthesis position on rounding

* Ensure proper rounding when CentersType is integral
2020-07-13 12:59:10 +00:00
jasonKercher 749bd80091 Merge pull request #17770 from jasonKercher:3.4_triggered
3.4 Allow first capture to return false

* fix first capture timeout

* fix first capture timeout
2020-07-13 12:29:54 +00:00
Alexander Alekhin 1c0b70bbd2 Merge pull request #17822 from alalek:issue_17792 2020-07-13 11:08:33 +00:00
Alexander Alekhin b75f6c05c0 Merge pull request #17805 from tomoaki0705:fixCUDAHostCompilerIssue 2020-07-12 13:05:14 +00:00
Tomoaki Teshima 269b810601 re-enable automatic CC detection on Jetson
* treat both CMAKE_C_COMPILER and c_compiler_realpath as candidate
2020-07-12 21:22:12 +09:00
Alexander Alekhin e54040d540 core: use lazy on-demand initialization for param_traceEnable 2020-07-12 11:53:46 +00:00
Alexander Alekhin b96e9a4a4a Merge pull request #17800 from Yosshi999:gsoc_sift-universal-intrinsic 2020-07-11 19:09:21 +00:00
Alexander Alekhin e18df87a15 Merge pull request #17635 from jsxyhelu:3.4 2020-07-10 15:11:53 +00:00
Alexander Alekhin 5cb8619eca dnn(ie): enable KEY_CPU_THREADS_NUM for Windows 2020-07-10 14:29:21 +00:00
jsxyhelu 476094ad5a Use“ moms” replace "contourArea"
double area = moms.m00;
is same as
double area = contourArea(contours[contourIdx]);
Not to mention
"moms" already calculated here,"contourArea" should not apply
2020-07-10 11:05:24 +00:00
Alexander Alekhin d2469edd10 Merge pull request #17772 from mshabunin:fix-match-umat-mask 2020-07-10 10:53:56 +00:00
Yosshi999 0df8fb70b4 use bufferarea for allocating buffer 2020-07-09 16:50:20 +00:00
Maksim Shabunin 4dd9a36a3c Added test for checkMasks with UMat train descs 2020-07-09 16:22:19 +03:00
Maksim Shabunin 41678fe3d3 Fixed checkMasks in DescriptorMatcher with train descs in UMats 2020-07-09 16:05:20 +03:00
Alexander Alekhin 5bc6b6fc26 Merge pull request #17737 from pemmanuelviel:pev--fix-trees-descent 2020-07-08 20:59:29 +00:00
Alexander Alekhin 8931c68b20 Merge pull request #17707 from Yosshi999:gsoc_sift-universal-intrinsic 2020-07-08 20:33:40 +00:00
Alexander Alekhin f78f908c09 Merge pull request #17674 from alalek:issue_16214 2020-07-08 20:01:35 +00:00
Alexander Alekhin 5487bca4f3 Merge pull request #17777 from alalek:backport_cuda_cmake 2020-07-08 20:00:13 +00:00
Alexander Alekhin 762a5c8334 imgproc: align GaussianBlur/sepFilter2D OpenCL with CPU version 2020-07-08 15:13:48 +00:00
Alexander Alekhin 2fed41dfa5 imgproc(test): test bitExact cases in OCL/sepFilter2D 2020-07-08 10:14:56 +00:00
Alexander Alekhin e0f9eac521 cmake: backport CUDA scripts 2020-07-08 07:33:54 +00:00
Alexander Alekhin b90a2a8497 Merge pull request #17759 from alalek:build_opencv_winpack_dldt_2020.4.0 2020-07-07 19:28:53 +00:00
Alexander Alekhin 950a916952 Merge pull request #17752 from YashasSamaga:generalize-concat-fusion-3.4 2020-07-07 10:36:02 +00:00
Alexander Alekhin 3f13339071 Merge pull request #17728 from sturkmen72:patch-4 2020-07-06 23:01:27 +00:00
Alexander Alekhin eb6678ebef Merge pull request #17699 from alalek:build_core_cuda
* core(cuda): fix build

- MSVS 19.25.28612.0
- CUDA release 11.0, V11.0.167

* cmake(cuda): backport workaround for CUDA 11

* cmake(cuda): call CUDA_BUILD_CLEAN_TARGET() on finalize

* cmake(cuda): use CMAKE_SUPPRESS_REGENERATION with MSVS
2020-07-06 22:58:17 +00:00
Alexander Alekhin d62e0a3695 Merge pull request #17743 from alalek:test_17666 2020-07-06 22:36:35 +00:00
Alexander Alekhin dcb7fd8520 Merge pull request #17766 from alalek:backport_17756 2020-07-06 21:50:24 +00:00
Alexander Alekhin d5713c657b dnn(slice): disable buggy OCV/OCL implementation 2020-07-06 21:36:19 +00:00
Alexander Alekhin 99c4b76a6d dnn(test): add YOLOv4-tiny tests 2020-07-06 21:36:19 +00:00
Alexander Alekhin e4887aaa5b Merge pull request #17761 from mshabunin:test-wo-jpg-png 2020-07-06 20:02:15 +00:00
Ilya Churaev d69a7a3bbf Fixed header paths for some nGraph ops
* Added dependency on IE version

backport of commit: 992c908b56
2020-07-06 19:51:57 +00:00
Alexander Alekhin ccf6dd07b3 build: winpack_dldt with dldt 2020.4.0 2020-07-06 14:08:54 +00:00
Maksim Shabunin e8129429e9 imgcodecs: fix test build with disabled JPEG and PNG libs 2020-07-06 14:52:52 +03:00
Suleyman TURKMEN 2566d13100 Update documentation of imwrite() 2020-07-06 11:02:50 +03:00
Alexander Alekhin 5a15369d4d Merge pull request #17729 from modeste2015:3.4 2020-07-04 17:17:57 +00:00
Alexander Alekhin deaf1dd458 Merge pull request #17724 from pemmanuelviel:pev--fix-mix-of-types 2020-07-04 17:16:57 +00:00
pemmanuelviel 65f87b114b Merge pull request #17722 from pemmanuelviel:pev--replace-asserts
* Clean: replace C style asserts by CV_Assert and CV_DbgAssert

* Try fixing warning on Windows compilation

* Another way trying to fix warnings on Win

* Fixing warnings with some compilers:
Some compilers warn on systematic exit preventing to execute the code that follows.
This is why assert(0) that exits only in debug was working, but not CV_Assert or CV_Error
that exit both in release and debug, even if with different behavior.
In addition, other compilers complain when return 0 is removed from getKey(),
even if before we have a statement leading to systematic exit.

* Disable "unreachable code" warnings for Win compilers so we can use proper CV_Error
2020-07-04 20:15:44 +03:00
Alexander Alekhin 8f5b453a96 Merge pull request #17719 from pemmanuelviel:pev--fix-computeNodeStatistics-genericity 2020-07-04 17:14:35 +00:00
YashasSamaga b7eec216e9 generalize axis for concat fusion 2020-07-04 18:57:28 +05:30
kadi soheib 17c430da88 Updated comment. 2020-07-04 06:37:59 +03:00
kadi soheib 96a501c08b Adding comment from source code to documentation. 2020-07-04 06:37:58 +03:00
Alexander Alekhin dc57707e60 Merge pull request #17744 from alalek:issue_17657 2020-07-03 21:21:27 +00:00
Alexander Alekhin 56b5a7d977 cmake: fix ENABLE_PROFILING 2020-07-03 19:31:41 +00:00
Liubov Batanina 65dbbf712d Merge pull request #17733 from l-bat:tiny_yolov4
* Supported yolov4-tiny

* Added comments
2020-07-03 18:07:08 +00:00
Alexander Alekhin 49497d8e7c Merge pull request #17725 from pemmanuelviel:pev--precompute-divisor 2020-07-03 11:24:11 +00:00
Pierre-Emmanuel Viel 728684840c Fix trees parsing behavior in hierarchical_clustering_index:
Before, when maxCheck was reached in the first descent of a tree, time was still wasted parsing
the next trees till their best leaves whose points were not used at all.
2020-07-03 01:19:10 +02:00
Alexander Alekhin 73f7d091f8 Merge pull request #17721 from pemmanuelviel:pev--fix-hist-intersect-arguments 2020-07-02 11:54:28 +00:00
Ken Shirriff 00e1bc49c8 Merge pull request #17708 from shirriff:patch-1
Clarify component statistics documentation

* Change ConnectedComponentsTypes documentation

Change from "algorithm output formats" to "statistics" because it specifies types of statistics, not formats.

* Documentation: clarify component statistics

Explain that ConnectedComponentTypes selects a statistic.
2020-07-02 13:58:53 +03:00
Heritier Kinke cb3a098b25 forget to look in sub folder of include/openblas 2020-07-02 03:33:07 +02:00
Alexander Alekhin 5a7045181a Merge pull request #17723 from pemmanuelviel:pev--remove-duplicate 2020-07-01 18:14:08 +00:00
Pierre-Emmanuel Viel 6a045fd678 Fix arguments list in loadindex for histogram intersection 2020-07-01 18:59:45 +02:00
Pierre-Emmanuel Viel 327f92cc46 Precompute the divisor to ensure that no kind of compiler would process it on the fly at each call. 2020-07-01 18:52:05 +02:00
Pierre-Emmanuel Viel 482cacd420 Mix of 32 and 64bits vector types prevents vectorisation for distance computation.
Argument "a" is of type ElementType* that is either int* or float*, while b was double*.
Mixing types prevents the possibility to use SSE or AVX instructions.
On implementation without SIMD instructions, this doesn't show any impact on performance.
2020-07-01 18:27:07 +02:00
Pierre-Emmanuel Viel 93a6be836c Remove duplicate line 2020-07-01 18:15:01 +02:00
Pierre-Emmanuel Viel ef7185ce43 Fix genericity of computeNodeStatistics that couldn't compute stats properly on sub-nodes 2020-07-01 12:14:15 +02:00
Yosshi999 920c180052 use universal SIMD intrinsics for SIFT 2020-06-30 06:44:12 +00:00
Alexander Alekhin a84afb6334 Merge pull request #17640 from pemmanuelviel:pev--fix-lsh-bad-any-cast 2020-06-29 20:53:34 +00:00
Pierre-Emmanuel Viel cdac7c7bec Add test checking we don't throw when creating GenericIndex with LshIndexParams() 2020-06-28 19:51:04 +00:00
Pierre-Emmanuel Viel fe09c79f4b Fix the 'cvflann::anyimpl::bad_any_cast' error using Lsh 2020-06-28 19:51:04 +00:00
Alexander Alekhin cabad90d6c Merge pull request #17636 from okamotoR:3.4 2020-06-27 20:17:16 +00:00
Alexander Alekhin 6dba1733f0 Merge pull request #17567 from dev-tronifier:new_branch 2020-06-27 20:08:37 +00:00
pemmanuelviel daa88c6b9e Merge pull request #17642 from pemmanuelviel:pev--fixes-and-clean
* Clean: make the use of the indices array length consistent

Either we don't want this method to be used in the future for any other node
than the root node, and so we replace indices_length by size_ and remove it as
argument, or we want to be able to use it potentially for other nodes, and
so using size_ instead of indices_length would have lead to a bug.

* Fix: b was not an address

* Fix: transpose the Flann repo commit "Fixes in accum_dist methods" from Adil Ibragimov

Avoids trying to compute log(ratio) with ratio = 0

* Fix: transpose the Flann repo commit "result_set bugfix" from Jack Rae

* Fix Jack Rae commit as the initial i - 1 index was decremented before entering the loop body

* Clean: transpose the Flann repo commit "Updated comments in lsh_index" from Richard McPherson

* Fix: Transpose the Flann repo commit "Fixing unreachable code in lsh_table.h" from hypevr

* Fix warning the same way it was done in flann standalone repo

* Change the return value in case of unsupported type
2020-06-26 22:34:52 +00:00
dev-tronifier 9b727fa1f3 Increased portability of CV_Func 2020-06-26 19:45:58 +00:00
Alexander Alekhin e45d74c8f9 Merge pull request #17638 from pemmanuelviel:pev--avoid-branching-in-loop 2020-06-26 19:22:20 +00:00
Alexander Alekhin 923009b5ff Merge pull request #17663 from alalek:backport_17658 2020-06-26 17:41:53 +00:00
Yosshi999 4064d4c7eb Merge pull request #17618 from Yosshi999:gsoc_sift-better-test
Added/Fixed testcases for SIFT

* merge perf_sift into conventional perf tests

* Fix disabled SIFT scale invariance tests

allows trainIdx duplication in matching scaled keypoints
2020-06-25 11:34:31 +00:00
Ilya Lavrenov e58ce89b10 Conditional compilation for IR v7 support
backported commit 86905754e4
2020-06-25 10:05:14 +00:00
Alexander Alekhin 6259ba1bfd Merge pull request #17641 from pemmanuelviel:pev--fix-middleSplit-for-kdtree-single 2020-06-25 09:12:40 +00:00
Alexander Alekhin cd8262eb79 Merge pull request #17650 from alalek:update_libjpeg-turbo 2020-06-24 10:57:37 +00:00
Alexander Alekhin d2b854674e Merge pull request #17648 from alalek:update_libjpeg 2020-06-24 10:57:07 +00:00
Alexander Alekhin ad930f6216 3rdparty: libjpeg-turbo 2.0.4 => 2.0.5
https://github.com/libjpeg-turbo/libjpeg-turbo/releases/tag/2.0.5
2020-06-24 06:28:16 +00:00
Alexander Alekhin f061a0ab36 3rdparty: libjpeg 9d
http://www.ijg.org/files/jpegsrc.v9d.tar.gz
2020-06-23 20:35:56 +00:00
Alexander Alekhin 2e165053ef Merge pull request #17624 from dkurt:dnn_optimize_mish 2020-06-23 18:43:51 +00:00
Alexander Alekhin 8cc8b0d2b4 Merge pull request #17633 from alalek:backport_17616 2020-06-23 18:29:55 +00:00
Pierre-Emmanuel Viel 06b4292534 Fix: error in the dimension used for computeMinMax
Instead of using the current dimension for which we just got a big span,
we were computing Min and Max for the previous dimension stored in cutfeat
(and using 0 instead of the dimension indice for the very first dimension
with "span > (1-eps)max_span")
2020-06-23 15:47:27 +02:00
Pierre-Emmanuel Viel 29f883feee Optim: test that could be done once has been extracted from the loop 2020-06-23 15:43:38 +02:00
okamotoR 0e69cddda2 add if block for indexed color images 2020-06-23 21:36:47 +09:00
Ilya Lavrenov ad5e70f94e Conditional compilation for network reader
origibal commit: 63e92cccf2
2020-06-23 14:15:52 +03:00
Alexander Alekhin 7fae2e834c Merge pull request #17622 from dkurt:dnn_ie_cpu_ext_update 2020-06-23 11:01:47 +00:00
Dmitry Kurtaev 8e3f5fb209 Remove deprecated Inference Engine CPU extensions 2020-06-23 10:10:29 +03:00
Pierre-Emmanuel Viel 05fbd1e5bc DNA mode: add the distance computations 2020-06-22 22:53:05 +02:00
Dmitry Kurtaev 1491934d17 Optimize Mish for CPU backend 2020-06-22 23:27:47 +03:00
Alexander Alekhin fce486c4f9 Merge pull request #17592 from l-bat:disable_nms_in_yolo_layer 2020-06-22 10:31:33 +00:00
Alexander Alekhin 1b4955342f Merge pull request #17599 from tomoaki0705:fixCUDAFailSafePath 2020-06-21 17:49:14 +00:00
Tomoaki Teshima 95ac650af6 make the fail safe path actually safe
* use only supported CC in the list
  * workaround of #17526
2020-06-21 07:20:47 +09:00
Alexander Alekhin 2b98aa403e Merge pull request #17593 from tomoaki0705:addAmpereCUDA 2020-06-20 22:01:36 +00:00
Alexander Alekhin 425c653a14 Merge pull request #17580 from sitic:bibfix 2020-06-19 21:35:07 +00:00
Tomoaki Teshima 52844614c4 add Ampere CC
* Ampere has CC 8.0
  * Arm64 server support has been added in CUDA 11 (only V100 for now)
2020-06-19 20:46:18 +09:00
Liubov Batanina 85c0c8c7ed Disabling dafault NMS in yolo layer 2020-06-19 14:34:13 +03:00
Jan Lebert a8f04359e8 docs: linkfix in bibliography
The [current link](https://arxiv.org/pdf/1808.01752) goes to a
random unrelated paper.
2020-06-19 11:44:35 +02:00
Alexander Alekhin cb54f4c2ec Merge pull request #17587 from tomoaki0705:fixCUDAOptflowJetson 2020-06-19 07:21:19 +00:00
Tomoaki Teshima 77fa1a20bf fix build on Jetson TX1 and TX2
* enable_if_t is a c++14 feature
2020-06-19 07:56:37 +09:00
Alexander Alekhin a7cdc42140 Merge pull request #17581 from tomoaki0705:fixCudaAsync 2020-06-18 20:54:28 +00:00
Alexander Alekhin a8aa9d5ecb Merge pull request #17578 from Bleach665:fix_win_eigen_build 2020-06-18 20:52:33 +00:00
Alexander Alekhin 52fbfb3ec0 Merge pull request #17577 from philippefoubert:branch_color_yuv_simd 2020-06-18 20:51:52 +00:00
Philippe FOUBERT d25293b721 Fix the build of imgproc using MinGW (variables with the same name as symbols defined in MinGW headers) 2020-06-18 20:13:34 +00:00
Tomoaki Teshima c07af090f5 fix build error on Jetson TX1 and TX2
* enable_if_t and is_base_of is c++14 feature
 * override is c++11 feature
2020-06-18 21:25:15 +09:00
Yuriy Obukh 456e88a8a4 fix VS Windows build with eigen. https://github.com/opencv/opencv/issues/17548 2020-06-18 14:31:11 +03:00
Alex Cohn a7cc1159cd Merge pull request #17573 from alexcohn:fix/android_windows_build
* fixing #17572

https://github.com/opencv/opencv/issues/17572 Build for Android failed: "can't concat str to bytes"

on Windows 10 64bit with python 3.6.6

* similar to changes in platforms/winpack_dldt/build_package.py
2020-06-18 10:40:43 +03:00
Alexander Alekhin 6bd87e8146 Merge pull request #17571 from tomoaki0705:fixAutomaticCC 2020-06-18 07:39:14 +00:00
Alexander Alekhin 42a4c3fba6 Merge pull request #17568 from alalek:cleanup_17527 2020-06-18 07:38:16 +00:00
Tomoaki Teshima 1cba763189 fix build error of automatic CC detection 2020-06-17 22:02:51 +09:00
Alexander Alekhin d01cbe9320 cudacodec(build): fix detection in CMake, cleanup duplicate includes 2020-06-17 09:09:40 +00:00
NesQl b10ab79743 Merge pull request #17468 from liqi-c:sharedlib_build_problem
TEngine installation rules fix for static build

* Modify cmake config error for -DBUILD_SHARED_LIBS=OFF

* Modify for not install tengine include directory

* Update compile error.

* move install command to tengine/CMakeLists.txt

* rm include dir when make install,only build static lib will install libtengine.a
2020-06-17 09:05:04 +00:00
Alexander Alekhin 619462b029 Merge pull request #17564 from l-bat:fix_yolov4 2020-06-17 08:45:56 +00:00
Liubov Batanina d93b6be3cc Changed StridedSlice to VariadicSplit in Region layer 2020-06-17 10:02:53 +03:00
Alexander Alekhin 9755ab160d Merge pull request #17556 from nglee:dev_optFlowTVL1Async 2020-06-16 20:06:56 +00:00
Namgoo Lee 2043e06102 cuda optflow tvl1 : async safety
also modify cuda canny to use createTextureObjectPitch2D, etc.
2020-06-17 01:04:22 +09:00
Alexander Alekhin c7dcdc0e88 Merge pull request #17557 from alalek:backport_17554 2020-06-15 19:26:11 +00:00
Alexander Alekhin eb67dc9f50 Merge pull request #17533 from alalek:fix_dumpInputArray_nd_case 2020-06-15 18:38:19 +00:00
Ilya Lavrenov 676b818d6a Removed plugin dispatcher
backport of commit 74113737f3
2020-06-15 18:03:14 +00:00
Namgoo Lee 411ce04f54 CUDA_OptFlow/OpticalFlowDual_TVL1 Asynchronous test 2020-06-16 01:43:51 +09:00
Alexander Alekhin d321a34f7c Merge pull request #17527 from tomoaki0705:detectCuvidHeader 2020-06-14 11:08:16 +00:00
Alexander Alekhin fb1a58ac76 Merge pull request #17537 from Murazaki:patch-1 2020-06-13 18:36:34 +00:00
Alexander Alekhin 1644af841b Merge pull request #17536 from ilya-lavrenov:remove-error-listener 2020-06-12 22:18:04 +00:00
Mehdi Zakaria Benadel b0def9617f Fix typo
This typo just made me lose my mind on the conan package update. please merge.
2020-06-12 23:52:06 +02:00
Alexander Alekhin c2664d912a Merge pull request #17538 from alalek:dnn_openvino_2020.3.0 2020-06-12 21:24:35 +00:00
Ilya Lavrenov 9697e3ac24 Removed error lisneter usage 2020-06-12 20:29:11 +00:00
Alexander Alekhin d2a9efd039 dnn: use OpenVINO 2020.3 defines 2020-06-12 20:24:08 +00:00
Alexander Alekhin 442999dcdb core: fix handling of ND-arrays in dumpInputArray() helpers 2020-06-12 10:23:32 +00:00
Alexander Alekhin d753ae1489 Merge pull request #17143 from cyyever:detect_mkl_installed_by_nuget 2020-06-12 09:44:42 +00:00
cyy db3e3be8ee improve the mkl search procedure 2020-06-12 06:59:27 +00:00
Alexander Alekhin 0c8da03869 Merge pull request #17341 from hunter-college-ossd-spr-2020:3.4-1 2020-06-12 06:58:14 +00:00
Jessica Wong 0417c8c9c7 Added information to OpenCV documentation [MacOS]
Added and Edited specific information to the "Installation in MacOS" OpenCV documentation.
Closes #17340
2020-06-11 23:36:06 -04:00
Tomoaki Teshima d4af89781b fix corner case of libnvcuvid
* detect header automatically and not based on version number
2020-06-11 23:06:18 +09:00
Alexander Alekhin a8c1cdf88e Merge pull request #17511 from mshabunin:fix-kw-issues-34 2020-06-10 12:13:06 +00:00
Maksim Shabunin 7a187e9b5e QRDetectMulti: refactored checkPoints method 2020-06-10 13:48:24 +03:00
Maksim Shabunin 9096b1c768 dnn/NGraph: added nullptr checks 2020-06-10 13:48:24 +03:00
Rasmus 781fbde449 Merge pull request #17368 from themightyoarfish:cv2eigen-doc
* Add documentation about usage of cv2eigen functions in eigen.hpp

* Fixed Doxygen syntax.

Co-authored-by: Alexander Smorkalov <smorkalov.a.m@gmail.com>
2020-06-10 07:53:18 +00:00
Gourav Roy 1b336bb602 Merge pull request #16955 from themechanicalcoder:text_recognition
* add text recognition sample

* fix pylint warning

* made changes according to the c++ example

* fix errors

* add text recognition sample

* update text detection sample
2020-06-10 06:53:18 +00:00
Alexander Alekhin 0fb3b8db72 Merge pull request #17504 from alalek:update_ffmpeg_3.4 2020-06-09 07:51:59 +00:00
Alexander Alekhin b44302382d ffmpeg/3.4: update FFmpeg wrapper
- FFmpeg 3.4.7
2020-06-08 21:03:05 +00:00
291 changed files with 11197 additions and 4175 deletions
+2 -1
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@@ -40,4 +40,5 @@ if(WITH_NEON)
target_compile_definitions(carotene_objs PRIVATE "-DWITH_NEON")
endif()
add_library(carotene STATIC EXCLUDE_FROM_ALL "$<TARGET_OBJECTS:carotene_objs>")
# we add dummy file to fix XCode build
add_library(carotene STATIC EXCLUDE_FROM_ALL "$<TARGET_OBJECTS:carotene_objs>" "${CAROTENE_SOURCE_DIR}/dummy.cpp")
+2 -1
View File
@@ -80,7 +80,8 @@ set_property(DIRECTORY APPEND PROPERTY COMPILE_DEFINITIONS ${carotene_defs})
# set_source_files_properties(impl.cpp $<TARGET_OBJECTS:carotene_objs> COMPILE_FLAGS "--param ipcp-unit-growth=100000 --param inline-unit-growth=100000 --param large-stack-frame-growth=5000")
endif()
add_library(tegra_hal STATIC $<TARGET_OBJECTS:carotene_objs>)
# we add dummy file to fix XCode build
add_library(tegra_hal STATIC $<TARGET_OBJECTS:carotene_objs> "dummy.cpp")
set_target_properties(tegra_hal PROPERTIES ARCHIVE_OUTPUT_DIRECTORY ${3P_LIBRARY_OUTPUT_PATH})
set(OPENCV_SRC_DIR "${CMAKE_SOURCE_DIR}")
if(NOT BUILD_SHARED_LIBS)
+2
View File
@@ -0,0 +1,2 @@
// This file is needed for compilation on some platforms e.g. with XCode generator
// Related issue: https://gitlab.kitware.com/cmake/cmake/-/issues/17457
+2
View File
@@ -0,0 +1,2 @@
// This file is needed for compilation on some platforms e.g. with XCode generator
// Related issue: https://gitlab.kitware.com/cmake/cmake/-/issues/17457
+5 -5
View File
@@ -1,8 +1,8 @@
# Binaries branch name: ffmpeg/3.4_20200310
# Binaries were created for OpenCV: 4966186e10e2a940514d8c20447ca4a828af5f46
ocv_update(FFMPEG_BINARIES_COMMIT "e81ccda615672833b578c6cefdb859ad69c560ba")
ocv_update(FFMPEG_FILE_HASH_BIN32 "301ae2000e25f800ab8e0065f277ad28")
ocv_update(FFMPEG_FILE_HASH_BIN64 "d87ce032289c3f811d02f0c3d8dbe366")
# Binaries branch name: ffmpeg/3.4_20200907
# Binaries were created for OpenCV: 03bee14372f5537daa56c62e771ec16181ca1f98
ocv_update(FFMPEG_BINARIES_COMMIT "2a96257b743695a47f8012aab1ffb995a1dee8b4")
ocv_update(FFMPEG_FILE_HASH_BIN32 "5e68a3ff82f43ac6524e50e448a34c9c")
ocv_update(FFMPEG_FILE_HASH_BIN64 "205db629d893e7d4865fd1459807ff47")
ocv_update(FFMPEG_FILE_HASH_CMAKE "3b90f67f4b429e77d3da36698cef700c")
function(download_win_ffmpeg script_var)
+4 -2
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@@ -4,9 +4,9 @@ ocv_warnings_disable(CMAKE_C_FLAGS -Wunused-parameter -Wsign-compare -Wshorten-6
set(VERSION_MAJOR 2)
set(VERSION_MINOR 0)
set(VERSION_REVISION 4)
set(VERSION_REVISION 5)
set(VERSION ${VERSION_MAJOR}.${VERSION_MINOR}.${VERSION_REVISION})
set(LIBJPEG_TURBO_VERSION_NUMBER 2000004)
set(LIBJPEG_TURBO_VERSION_NUMBER 2000005)
string(TIMESTAMP BUILD "opencv-${OPENCV_VERSION}-libjpeg-turbo")
if(CMAKE_BUILD_TYPE STREQUAL "Debug")
@@ -65,6 +65,8 @@ set(JPEG_LIB_VERSION 62)
# OpenCV
set(JPEG_LIB_VERSION "${VERSION}-${JPEG_LIB_VERSION}" PARENT_SCOPE)
set(THREAD_LOCAL "") # WITH_TURBOJPEG is not used
if(MSVC)
add_definitions(-W3 -wd4996 -wd4018)
endif()
+3
View File
@@ -15,6 +15,9 @@
#endif
#endif
/* How to obtain thread-local storage */
#define THREAD_LOCAL @THREAD_LOCAL@
/* Define to the full name of this package. */
#define PACKAGE_NAME "@CMAKE_PROJECT_NAME@"
+1 -2
View File
@@ -143,8 +143,7 @@ empty_mem_output_buffer(j_compress_ptr cinfo)
MEMCOPY(nextbuffer, dest->buffer, dest->bufsize);
if (dest->newbuffer != NULL)
free(dest->newbuffer);
free(dest->newbuffer);
dest->newbuffer = nextbuffer;
+3 -3
View File
@@ -4,7 +4,7 @@
* This file was part of the Independent JPEG Group's software:
* Copyright (C) 1991-2012, Thomas G. Lane, Guido Vollbeding.
* libjpeg-turbo Modifications:
* Copyright (C) 2010, 2012-2019, D. R. Commander.
* Copyright (C) 2010, 2012-2020, D. R. Commander.
* For conditions of distribution and use, see the accompanying README.ijg
* file.
*
@@ -36,7 +36,7 @@
*/
#define JCOPYRIGHT \
"Copyright (C) 2009-2019 D. R. Commander\n" \
"Copyright (C) 2009-2020 D. R. Commander\n" \
"Copyright (C) 2011-2016 Siarhei Siamashka\n" \
"Copyright (C) 2015-2016, 2018 Matthieu Darbois\n" \
"Copyright (C) 2015 Intel Corporation\n" \
@@ -49,4 +49,4 @@
"Copyright (C) 1991-2016 Thomas G. Lane, Guido Vollbeding"
#define JCOPYRIGHT_SHORT \
"Copyright (C) 1991-2019 The libjpeg-turbo Project and many others"
"Copyright (C) 1991-2020 The libjpeg-turbo Project and many others"
+6 -13
View File
@@ -1,7 +1,7 @@
The Independent JPEG Group's JPEG software
==========================================
README for release 9c of 14-Jan-2018
README for release 9d of 12-Jan-2020
====================================
This distribution contains the ninth public release of the Independent JPEG
@@ -10,8 +10,8 @@ to use it for any purpose, subject to the conditions under LEGAL ISSUES, below.
This software is the work of Tom Lane, Guido Vollbeding, Philip Gladstone,
Bill Allombert, Jim Boucher, Lee Crocker, Bob Friesenhahn, Ben Jackson,
Julian Minguillon, Luis Ortiz, George Phillips, Davide Rossi, Ge' Weijers,
and other members of the Independent JPEG Group.
John Korejwa, Julian Minguillon, Luis Ortiz, George Phillips, Davide Rossi,
Ge' Weijers, and other members of the Independent JPEG Group.
IJG is not affiliated with the ISO/IEC JTC1/SC29/WG1 standards committee
(previously known as JPEG, together with ITU-T SG16).
@@ -115,7 +115,7 @@ with respect to this software, its quality, accuracy, merchantability, or
fitness for a particular purpose. This software is provided "AS IS", and you,
its user, assume the entire risk as to its quality and accuracy.
This software is copyright (C) 1991-2018, Thomas G. Lane, Guido Vollbeding.
This software is copyright (C) 1991-2020, Thomas G. Lane, Guido Vollbeding.
All Rights Reserved except as specified below.
Permission is hereby granted to use, copy, modify, and distribute this
@@ -152,13 +152,6 @@ The same holds for its supporting scripts (config.guess, config.sub,
ltmain.sh). Another support script, install-sh, is copyright by X Consortium
but is also freely distributable.
The IJG distribution formerly included code to read and write GIF files.
To avoid entanglement with the Unisys LZW patent (now expired), GIF reading
support has been removed altogether, and the GIF writer has been simplified
to produce "uncompressed GIFs". This technique does not use the LZW
algorithm; the resulting GIF files are larger than usual, but are readable
by all standard GIF decoders.
REFERENCES
==========
@@ -246,8 +239,8 @@ ARCHIVE LOCATIONS
The "official" archive site for this software is www.ijg.org.
The most recent released version can always be found there in
directory "files". This particular version will be archived as
http://www.ijg.org/files/jpegsrc.v9c.tar.gz, and in Windows-compatible
"zip" archive format as http://www.ijg.org/files/jpegsr9c.zip.
http://www.ijg.org/files/jpegsrc.v9d.tar.gz, and in Windows-compatible
"zip" archive format as http://www.ijg.org/files/jpegsr9d.zip.
The JPEG FAQ (Frequently Asked Questions) article is a source of some
general information about JPEG.
+49
View File
@@ -1,6 +1,55 @@
CHANGE LOG for Independent JPEG Group's JPEG software
Version 9d 12-Jan-2020
-----------------------
Optimize the optimal Huffman code table generation to produce
slightly smaller files. Thank to John Korejwa for suggestion.
Note: Requires rebuild of testimgp.jpg.
Decoding Huffman: Use default tables if tables are not defined.
Thank to Simone Azzalin for report (Motion JPEG),
and to Martin Strunz for hint.
Add sanity check in optimal Huffman code table generation.
Thank to Adam Farley for suggestion.
rdtarga.c: use read_byte(), with EOF check, instead of getc()
in read_*_pixel().
Thank to Chijin Zhou for cjpeg potential vulnerability report.
jmemnobs.c: respect the max_memory_to_use setting in
jpeg_mem_available() computation. Thank to Sheng Shu and
Dongdong She for djpeg potential vulnerability report.
jdarith.c, jdhuff.c: avoid left shift of negative value
compiler warning in decode_mcu_AC_refine().
Thank to Indu Bhagat for suggestion.
Add x64 (64-bit) platform support, avoid compiler warnings.
Thank to Jonathan Potter, Feiyun Wang, and Sheng Shu for suggestion.
Adjust libjpeg version specification for pkg-config file.
Thank to Chen Chen for suggestion.
Restore GIF read and write support from libjpeg version 6a.
Thank to Wolfgang Werner (W.W.) Heinz for suggestion.
Improve consistency in raw (downsampled) image data processing mode.
Thank to Zhongyuan Zhou for hint.
Avoid out of bounds array read (AC derived table pointers)
in start pass in jdhuff.c. Thank to Peng Li for report.
Improve code sanity (jdhuff.c).
Thank to Reza Mirzazade farkhani for reports.
Add jpegtran -drop option; add options to the crop extension and wipe
to fill the extra area with content from the source image region,
instead of gray out.
Version 9c 14-Jan-2018
-----------------------
+9 -8
View File
@@ -1,7 +1,7 @@
/*
* jcarith.c
*
* Developed 1997-2013 by Guido Vollbeding.
* Developed 1997-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -181,11 +181,11 @@ finish_pass (j_compress_ptr cinfo)
if (e->zc) /* output final pending zero bytes */
do emit_byte(0x00, cinfo);
while (--e->zc);
emit_byte((e->c >> 19) & 0xFF, cinfo);
emit_byte((int) ((e->c >> 19) & 0xFF), cinfo);
if (((e->c >> 19) & 0xFF) == 0xFF)
emit_byte(0x00, cinfo);
if (e->c & 0x7F800L) {
emit_byte((e->c >> 11) & 0xFF, cinfo);
emit_byte((int) ((e->c >> 11) & 0xFF), cinfo);
if (((e->c >> 11) & 0xFF) == 0xFF)
emit_byte(0x00, cinfo);
}
@@ -280,7 +280,8 @@ arith_encode (j_compress_ptr cinfo, unsigned char *st, int val)
/* Note: The 3 spacer bits in the C register guarantee
* that the new buffer byte can't be 0xFF here
* (see page 160 in the P&M JPEG book). */
e->buffer = temp & 0xFF; /* new output byte, might overflow later */
/* New output byte, might overflow later */
e->buffer = (int) (temp & 0xFF);
} else if (temp == 0xFF) {
++e->sc; /* stack 0xFF byte (which might overflow later) */
} else {
@@ -302,7 +303,8 @@ arith_encode (j_compress_ptr cinfo, unsigned char *st, int val)
emit_byte(0x00, cinfo);
} while (--e->sc);
}
e->buffer = temp & 0xFF; /* new output byte (can still overflow) */
/* New output byte (can still overflow) */
e->buffer = (int) (temp & 0xFF);
}
e->c &= 0x7FFFFL;
e->ct += 8;
@@ -926,9 +928,8 @@ jinit_arith_encoder (j_compress_ptr cinfo)
arith_entropy_ptr entropy;
int i;
entropy = (arith_entropy_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(arith_entropy_encoder));
entropy = (arith_entropy_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(arith_entropy_encoder));
cinfo->entropy = &entropy->pub;
entropy->pub.start_pass = start_pass;
entropy->pub.finish_pass = finish_pass;
+47 -50
View File
@@ -2,7 +2,7 @@
* jccolor.c
*
* Copyright (C) 1991-1996, Thomas G. Lane.
* Modified 2011-2013 by Guido Vollbeding.
* Modified 2011-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -105,14 +105,14 @@ rgb_ycc_start (j_compress_ptr cinfo)
/* Allocate and fill in the conversion tables. */
cconvert->rgb_ycc_tab = rgb_ycc_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(TABLE_SIZE * SIZEOF(INT32)));
TABLE_SIZE * SIZEOF(INT32));
for (i = 0; i <= MAXJSAMPLE; i++) {
rgb_ycc_tab[i+R_Y_OFF] = FIX(0.299) * i;
rgb_ycc_tab[i+G_Y_OFF] = FIX(0.587) * i;
rgb_ycc_tab[i+B_Y_OFF] = FIX(0.114) * i + ONE_HALF;
rgb_ycc_tab[i+R_CB_OFF] = (-FIX(0.168735892)) * i;
rgb_ycc_tab[i+G_CB_OFF] = (-FIX(0.331264108)) * i;
rgb_ycc_tab[i+R_CB_OFF] = (- FIX(0.168735892)) * i;
rgb_ycc_tab[i+G_CB_OFF] = (- FIX(0.331264108)) * i;
/* We use a rounding fudge-factor of 0.5-epsilon for Cb and Cr.
* This ensures that the maximum output will round to MAXJSAMPLE
* not MAXJSAMPLE+1, and thus that we don't have to range-limit.
@@ -121,8 +121,8 @@ rgb_ycc_start (j_compress_ptr cinfo)
/* B=>Cb and R=>Cr tables are the same
rgb_ycc_tab[i+R_CR_OFF] = FIX(0.5) * i + CBCR_OFFSET + ONE_HALF-1;
*/
rgb_ycc_tab[i+G_CR_OFF] = (-FIX(0.418687589)) * i;
rgb_ycc_tab[i+B_CR_OFF] = (-FIX(0.081312411)) * i;
rgb_ycc_tab[i+G_CR_OFF] = (- FIX(0.418687589)) * i;
rgb_ycc_tab[i+B_CR_OFF] = (- FIX(0.081312411)) * i;
}
}
@@ -131,12 +131,12 @@ rgb_ycc_start (j_compress_ptr cinfo)
* Convert some rows of samples to the JPEG colorspace.
*
* Note that we change from the application's interleaved-pixel format
* to our internal noninterleaved, one-plane-per-component format.
* The input buffer is therefore three times as wide as the output buffer.
* to our internal noninterleaved, one-plane-per-component format. The
* input buffer is therefore three times as wide as the output buffer.
*
* A starting row offset is provided only for the output buffer. The caller
* can easily adjust the passed input_buf value to accommodate any row
* offset required on that side.
* A starting row offset is provided only for the output buffer. The
* caller can easily adjust the passed input_buf value to accommodate
* any row offset required on that side.
*/
METHODDEF(void)
@@ -145,8 +145,8 @@ rgb_ycc_convert (j_compress_ptr cinfo,
JDIMENSION output_row, int num_rows)
{
my_cconvert_ptr cconvert = (my_cconvert_ptr) cinfo->cconvert;
register INT32 * ctab = cconvert->rgb_ycc_tab;
register int r, g, b;
register INT32 * ctab = cconvert->rgb_ycc_tab;
register JSAMPROW inptr;
register JSAMPROW outptr0, outptr1, outptr2;
register JDIMENSION col;
@@ -162,6 +162,7 @@ rgb_ycc_convert (j_compress_ptr cinfo,
r = GETJSAMPLE(inptr[RGB_RED]);
g = GETJSAMPLE(inptr[RGB_GREEN]);
b = GETJSAMPLE(inptr[RGB_BLUE]);
inptr += RGB_PIXELSIZE;
/* If the inputs are 0..MAXJSAMPLE, the outputs of these equations
* must be too; we do not need an explicit range-limiting operation.
* Hence the value being shifted is never negative, and we don't
@@ -179,7 +180,6 @@ rgb_ycc_convert (j_compress_ptr cinfo,
outptr2[col] = (JSAMPLE)
((ctab[r+R_CR_OFF] + ctab[g+G_CR_OFF] + ctab[b+B_CR_OFF])
>> SCALEBITS);
inptr += RGB_PIXELSIZE;
}
}
}
@@ -201,8 +201,8 @@ rgb_gray_convert (j_compress_ptr cinfo,
JDIMENSION output_row, int num_rows)
{
my_cconvert_ptr cconvert = (my_cconvert_ptr) cinfo->cconvert;
register INT32 * ctab = cconvert->rgb_ycc_tab;
register int r, g, b;
register INT32 * ctab = cconvert->rgb_ycc_tab;
register JSAMPROW inptr;
register JSAMPROW outptr;
register JDIMENSION col;
@@ -215,11 +215,11 @@ rgb_gray_convert (j_compress_ptr cinfo,
r = GETJSAMPLE(inptr[RGB_RED]);
g = GETJSAMPLE(inptr[RGB_GREEN]);
b = GETJSAMPLE(inptr[RGB_BLUE]);
inptr += RGB_PIXELSIZE;
/* Y */
outptr[col] = (JSAMPLE)
((ctab[r+R_Y_OFF] + ctab[g+G_Y_OFF] + ctab[b+B_Y_OFF])
>> SCALEBITS);
inptr += RGB_PIXELSIZE;
}
}
}
@@ -228,8 +228,8 @@ rgb_gray_convert (j_compress_ptr cinfo,
/*
* Convert some rows of samples to the JPEG colorspace.
* This version handles Adobe-style CMYK->YCCK conversion,
* where we convert R=1-C, G=1-M, and B=1-Y to YCbCr using the same
* conversion as above, while passing K (black) unchanged.
* where we convert R=1-C, G=1-M, and B=1-Y to YCbCr using the
* same conversion as above, while passing K (black) unchanged.
* We assume rgb_ycc_start has been called.
*/
@@ -239,8 +239,8 @@ cmyk_ycck_convert (j_compress_ptr cinfo,
JDIMENSION output_row, int num_rows)
{
my_cconvert_ptr cconvert = (my_cconvert_ptr) cinfo->cconvert;
register INT32 * ctab = cconvert->rgb_ycc_tab;
register int r, g, b;
register INT32 * ctab = cconvert->rgb_ycc_tab;
register JSAMPROW inptr;
register JSAMPROW outptr0, outptr1, outptr2, outptr3;
register JDIMENSION col;
@@ -259,6 +259,7 @@ cmyk_ycck_convert (j_compress_ptr cinfo,
b = MAXJSAMPLE - GETJSAMPLE(inptr[2]);
/* K passes through as-is */
outptr3[col] = inptr[3]; /* don't need GETJSAMPLE here */
inptr += 4;
/* If the inputs are 0..MAXJSAMPLE, the outputs of these equations
* must be too; we do not need an explicit range-limiting operation.
* Hence the value being shifted is never negative, and we don't
@@ -276,7 +277,6 @@ cmyk_ycck_convert (j_compress_ptr cinfo,
outptr2[col] = (JSAMPLE)
((ctab[r+R_CR_OFF] + ctab[g+G_CR_OFF] + ctab[b+B_CR_OFF])
>> SCALEBITS);
inptr += 4;
}
}
}
@@ -312,13 +312,13 @@ rgb_rgb1_convert (j_compress_ptr cinfo,
r = GETJSAMPLE(inptr[RGB_RED]);
g = GETJSAMPLE(inptr[RGB_GREEN]);
b = GETJSAMPLE(inptr[RGB_BLUE]);
inptr += RGB_PIXELSIZE;
/* Assume that MAXJSAMPLE+1 is a power of 2, so that the MOD
* (modulo) operator is equivalent to the bitmask operator AND.
*/
outptr0[col] = (JSAMPLE) ((r - g + CENTERJSAMPLE) & MAXJSAMPLE);
outptr1[col] = (JSAMPLE) g;
outptr2[col] = (JSAMPLE) ((b - g + CENTERJSAMPLE) & MAXJSAMPLE);
inptr += RGB_PIXELSIZE;
}
}
}
@@ -335,17 +335,17 @@ grayscale_convert (j_compress_ptr cinfo,
JSAMPARRAY input_buf, JSAMPIMAGE output_buf,
JDIMENSION output_row, int num_rows)
{
int instride = cinfo->input_components;
register JSAMPROW inptr;
register JSAMPROW outptr;
register JDIMENSION col;
register JDIMENSION count;
register int instride = cinfo->input_components;
JDIMENSION num_cols = cinfo->image_width;
while (--num_rows >= 0) {
inptr = *input_buf++;
outptr = output_buf[0][output_row++];
for (col = 0; col < num_cols; col++) {
outptr[col] = inptr[0]; /* don't need GETJSAMPLE() here */
for (count = num_cols; count > 0; count--) {
*outptr++ = *inptr; /* don't need GETJSAMPLE() here */
inptr += instride;
}
}
@@ -396,21 +396,21 @@ null_convert (j_compress_ptr cinfo,
JSAMPARRAY input_buf, JSAMPIMAGE output_buf,
JDIMENSION output_row, int num_rows)
{
int ci;
register int nc = cinfo->num_components;
register JSAMPROW inptr;
register JSAMPROW outptr;
register JDIMENSION col;
register JDIMENSION count;
register int num_comps = cinfo->num_components;
JDIMENSION num_cols = cinfo->image_width;
int ci;
while (--num_rows >= 0) {
/* It seems fastest to make a separate pass for each component. */
for (ci = 0; ci < nc; ci++) {
for (ci = 0; ci < num_comps; ci++) {
inptr = input_buf[0] + ci;
outptr = output_buf[ci][output_row];
for (col = 0; col < num_cols; col++) {
for (count = num_cols; count > 0; count--) {
*outptr++ = *inptr; /* don't need GETJSAMPLE() here */
inptr += nc;
inptr += num_comps;
}
}
input_buf++;
@@ -439,9 +439,8 @@ jinit_color_converter (j_compress_ptr cinfo)
{
my_cconvert_ptr cconvert;
cconvert = (my_cconvert_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(my_color_converter));
cconvert = (my_cconvert_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(my_color_converter));
cinfo->cconvert = &cconvert->pub;
/* set start_pass to null method until we find out differently */
cconvert->pub.start_pass = null_method;
@@ -455,9 +454,11 @@ jinit_color_converter (j_compress_ptr cinfo)
case JCS_RGB:
case JCS_BG_RGB:
#if RGB_PIXELSIZE != 3
if (cinfo->input_components != RGB_PIXELSIZE)
ERREXIT(cinfo, JERR_BAD_IN_COLORSPACE);
break;
#endif /* else share code with YCbCr */
case JCS_YCbCr:
case JCS_BG_YCC:
@@ -474,7 +475,6 @@ jinit_color_converter (j_compress_ptr cinfo)
default: /* JCS_UNKNOWN can be anything */
if (cinfo->input_components < 1)
ERREXIT(cinfo, JERR_BAD_IN_COLORSPACE);
break;
}
/* Support color transform only for RGB colorspaces */
@@ -507,19 +507,18 @@ jinit_color_converter (j_compress_ptr cinfo)
case JCS_BG_RGB:
if (cinfo->num_components != 3)
ERREXIT(cinfo, JERR_BAD_J_COLORSPACE);
if (cinfo->in_color_space == cinfo->jpeg_color_space) {
switch (cinfo->color_transform) {
case JCT_NONE:
cconvert->pub.color_convert = rgb_convert;
break;
case JCT_SUBTRACT_GREEN:
cconvert->pub.color_convert = rgb_rgb1_convert;
break;
default:
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
}
} else
if (cinfo->in_color_space != cinfo->jpeg_color_space)
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
switch (cinfo->color_transform) {
case JCT_NONE:
cconvert->pub.color_convert = rgb_convert;
break;
case JCT_SUBTRACT_GREEN:
cconvert->pub.color_convert = rgb_rgb1_convert;
break;
default:
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
}
break;
case JCS_YCbCr:
@@ -572,10 +571,9 @@ jinit_color_converter (j_compress_ptr cinfo)
case JCS_CMYK:
if (cinfo->num_components != 4)
ERREXIT(cinfo, JERR_BAD_J_COLORSPACE);
if (cinfo->in_color_space == JCS_CMYK)
cconvert->pub.color_convert = null_convert;
else
if (cinfo->in_color_space != JCS_CMYK)
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
cconvert->pub.color_convert = null_convert;
break;
case JCS_YCCK:
@@ -599,6 +597,5 @@ jinit_color_converter (j_compress_ptr cinfo)
cinfo->num_components != cinfo->input_components)
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
cconvert->pub.color_convert = null_convert;
break;
}
}
+109 -42
View File
@@ -2,7 +2,7 @@
* jchuff.c
*
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 2006-2013 by Guido Vollbeding.
* Modified 2006-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -178,13 +178,12 @@ jpeg_make_c_derived_tbl (j_compress_ptr cinfo, boolean isDC, int tblno,
htbl =
isDC ? cinfo->dc_huff_tbl_ptrs[tblno] : cinfo->ac_huff_tbl_ptrs[tblno];
if (htbl == NULL)
ERREXIT1(cinfo, JERR_NO_HUFF_TABLE, tblno);
htbl = jpeg_std_huff_table((j_common_ptr) cinfo, isDC, tblno);
/* Allocate a workspace if we haven't already done so. */
if (*pdtbl == NULL)
*pdtbl = (c_derived_tbl *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(c_derived_tbl));
*pdtbl = (c_derived_tbl *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(c_derived_tbl));
dtbl = *pdtbl;
/* Figure C.1: make table of Huffman code length for each symbol */
@@ -1256,22 +1255,88 @@ jpeg_gen_optimal_table (j_compress_ptr cinfo, JHUFF_TBL * htbl, long freq[])
UINT8 bits[MAX_CLEN+1]; /* bits[k] = # of symbols with code length k */
int codesize[257]; /* codesize[k] = code length of symbol k */
int others[257]; /* next symbol in current branch of tree */
int c1, c2;
int p, i, j;
int c1, c2, i, j;
UINT8 *p;
long v;
freq[256] = 1; /* make sure 256 has a nonzero count */
/* Including the pseudo-symbol 256 in the Huffman procedure guarantees
* that no real symbol is given code-value of all ones, because 256
* will be placed last in the largest codeword category.
* In the symbol list build procedure this element serves as sentinel
* for the zero run loop.
*/
#ifndef DONT_USE_FANCY_HUFF_OPT
/* Build list of symbols sorted in order of descending frequency */
/* This approach has several benefits (thank to John Korejwa for the idea):
* 1.
* If a codelength category is split during the length limiting procedure
* below, the feature that more frequent symbols are assigned shorter
* codewords remains valid for the adjusted code.
* 2.
* To reduce consecutive ones in a Huffman data stream (thus reducing the
* number of stuff bytes in JPEG) it is preferable to follow 0 branches
* (and avoid 1 branches) as much as possible. This is easily done by
* assigning symbols to leaves of the Huffman tree in order of decreasing
* frequency, with no secondary sort based on codelengths.
* 3.
* The symbol list can be built independently from the assignment of code
* lengths by the Huffman procedure below.
* Note: The symbol list build procedure must be performed first, because
* the Huffman procedure assigning the codelengths clobbers the frequency
* counts!
*/
/* Here we use the others array as a linked list of nonzero frequencies
* to be sorted. Already sorted elements are removed from the list.
*/
/* Building list */
/* This item does not correspond to a valid symbol frequency and is used
* as starting index.
*/
j = 256;
for (i = 0;; i++) {
if (freq[i] == 0) /* skip zero frequencies */
continue;
if (i > 255)
break;
others[j] = i; /* this symbol value */
j = i; /* previous symbol value */
}
others[j] = -1; /* mark end of list */
/* Sorting list */
p = htbl->huffval;
while ((c1 = others[256]) >= 0) {
v = freq[c1];
i = c1; /* first symbol value */
j = 256; /* pseudo symbol value for starting index */
while ((c2 = others[c1]) >= 0) {
if (freq[c2] > v) {
v = freq[c2];
i = c2; /* this symbol value */
j = c1; /* previous symbol value */
}
c1 = c2;
}
others[j] = others[i]; /* remove this symbol i from list */
*p++ = (UINT8) i;
}
#endif /* DONT_USE_FANCY_HUFF_OPT */
/* This algorithm is explained in section K.2 of the JPEG standard */
MEMZERO(bits, SIZEOF(bits));
MEMZERO(codesize, SIZEOF(codesize));
for (i = 0; i < 257; i++)
others[i] = -1; /* init links to empty */
freq[256] = 1; /* make sure 256 has a nonzero count */
/* Including the pseudo-symbol 256 in the Huffman procedure guarantees
* that no real symbol is given code-value of all ones, because 256
* will be placed last in the largest codeword category.
*/
/* Huffman's basic algorithm to assign optimal code lengths to symbols */
@@ -1301,7 +1366,7 @@ jpeg_gen_optimal_table (j_compress_ptr cinfo, JHUFF_TBL * htbl, long freq[])
/* Done if we've merged everything into one frequency */
if (c2 < 0)
break;
/* Else merge the two counts/trees */
freq[c1] += freq[c2];
freq[c2] = 0;
@@ -1312,9 +1377,9 @@ jpeg_gen_optimal_table (j_compress_ptr cinfo, JHUFF_TBL * htbl, long freq[])
c1 = others[c1];
codesize[c1]++;
}
others[c1] = c2; /* chain c2 onto c1's tree branch */
/* Increment the codesize of everything in c2's tree branch */
codesize[c2]++;
while (others[c2] >= 0) {
@@ -1329,7 +1394,7 @@ jpeg_gen_optimal_table (j_compress_ptr cinfo, JHUFF_TBL * htbl, long freq[])
/* The JPEG standard seems to think that this can't happen, */
/* but I'm paranoid... */
if (codesize[i] > MAX_CLEN)
ERREXIT(cinfo, JERR_HUFF_CLEN_OVERFLOW);
ERREXIT(cinfo, JERR_HUFF_CLEN_OUTOFBOUNDS);
bits[codesize[i]]++;
}
@@ -1345,13 +1410,16 @@ jpeg_gen_optimal_table (j_compress_ptr cinfo, JHUFF_TBL * htbl, long freq[])
* shortest nonzero BITS entry is converted into a prefix for two code words
* one bit longer.
*/
for (i = MAX_CLEN; i > 16; i--) {
while (bits[i] > 0) {
j = i - 2; /* find length of new prefix to be used */
while (bits[j] == 0)
while (bits[j] == 0) {
if (j == 0)
ERREXIT(cinfo, JERR_HUFF_CLEN_OUTOFBOUNDS);
j--;
}
bits[i] -= 2; /* remove two symbols */
bits[i-1]++; /* one goes in this length */
bits[j+1] += 2; /* two new symbols in this length */
@@ -1363,24 +1431,27 @@ jpeg_gen_optimal_table (j_compress_ptr cinfo, JHUFF_TBL * htbl, long freq[])
while (bits[i] == 0) /* find largest codelength still in use */
i--;
bits[i]--;
/* Return final symbol counts (only for lengths 0..16) */
MEMCOPY(htbl->bits, bits, SIZEOF(htbl->bits));
#ifdef DONT_USE_FANCY_HUFF_OPT
/* Return a list of the symbols sorted by code length */
/* It's not real clear to me why we don't need to consider the codelength
* changes made above, but the JPEG spec seems to think this works.
/* Note: Due to the codelength changes made above, it can happen
* that more frequent symbols are assigned longer codewords.
*/
p = 0;
p = htbl->huffval;
for (i = 1; i <= MAX_CLEN; i++) {
for (j = 0; j <= 255; j++) {
if (codesize[j] == i) {
htbl->huffval[p] = (UINT8) j;
p++;
*p++ = (UINT8) j;
}
}
}
#endif /* DONT_USE_FANCY_HUFF_OPT */
/* Set sent_table FALSE so updated table will be written to JPEG file. */
htbl->sent_table = FALSE;
}
@@ -1400,13 +1471,13 @@ finish_pass_gather (j_compress_ptr cinfo)
boolean did_dc[NUM_HUFF_TBLS];
boolean did_ac[NUM_HUFF_TBLS];
/* It's important not to apply jpeg_gen_optimal_table more than once
* per table, because it clobbers the input frequency counts!
*/
if (cinfo->progressive_mode)
/* Flush out buffered data (all we care about is counting the EOB symbol) */
emit_eobrun(entropy);
/* It's important not to apply jpeg_gen_optimal_table more than once
* per table, because it clobbers the input frequency counts!
*/
MEMZERO(did_dc, SIZEOF(did_dc));
MEMZERO(did_ac, SIZEOF(did_ac));
@@ -1475,9 +1546,8 @@ start_pass_huff (j_compress_ptr cinfo, boolean gather_statistics)
entropy->pub.encode_mcu = encode_mcu_AC_refine;
/* AC refinement needs a correction bit buffer */
if (entropy->bit_buffer == NULL)
entropy->bit_buffer = (char *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
MAX_CORR_BITS * SIZEOF(char));
entropy->bit_buffer = (char *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, MAX_CORR_BITS * SIZEOF(char));
}
}
@@ -1505,9 +1575,8 @@ start_pass_huff (j_compress_ptr cinfo, boolean gather_statistics)
/* Allocate and zero the statistics tables */
/* Note that jpeg_gen_optimal_table expects 257 entries in each table! */
if (entropy->dc_count_ptrs[tbl] == NULL)
entropy->dc_count_ptrs[tbl] = (long *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
257 * SIZEOF(long));
entropy->dc_count_ptrs[tbl] = (long *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, 257 * SIZEOF(long));
MEMZERO(entropy->dc_count_ptrs[tbl], 257 * SIZEOF(long));
} else {
/* Compute derived values for Huffman tables */
@@ -1525,9 +1594,8 @@ start_pass_huff (j_compress_ptr cinfo, boolean gather_statistics)
if (tbl < 0 || tbl >= NUM_HUFF_TBLS)
ERREXIT1(cinfo, JERR_NO_HUFF_TABLE, tbl);
if (entropy->ac_count_ptrs[tbl] == NULL)
entropy->ac_count_ptrs[tbl] = (long *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
257 * SIZEOF(long));
entropy->ac_count_ptrs[tbl] = (long *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, 257 * SIZEOF(long));
MEMZERO(entropy->ac_count_ptrs[tbl], 257 * SIZEOF(long));
} else {
jpeg_make_c_derived_tbl(cinfo, FALSE, tbl,
@@ -1556,9 +1624,8 @@ jinit_huff_encoder (j_compress_ptr cinfo)
huff_entropy_ptr entropy;
int i;
entropy = (huff_entropy_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(huff_entropy_encoder));
entropy = (huff_entropy_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(huff_entropy_encoder));
cinfo->entropy = &entropy->pub;
entropy->pub.start_pass = start_pass_huff;
+3 -5
View File
@@ -2,7 +2,7 @@
* jcmarker.c
*
* Copyright (C) 1991-1998, Thomas G. Lane.
* Modified 2003-2013 by Guido Vollbeding.
* Modified 2003-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -471,7 +471,6 @@ emit_adobe_app14 (j_compress_ptr cinfo)
break;
default:
emit_byte(cinfo, 0); /* Color transform = 0 */
break;
}
}
@@ -702,9 +701,8 @@ jinit_marker_writer (j_compress_ptr cinfo)
my_marker_ptr marker;
/* Create the subobject */
marker = (my_marker_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(my_marker_writer));
marker = (my_marker_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(my_marker_writer));
cinfo->marker = &marker->pub;
/* Initialize method pointers */
marker->pub.write_file_header = write_file_header;
+18 -15
View File
@@ -2,7 +2,7 @@
* jcmaster.c
*
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 2003-2017 by Guido Vollbeding.
* Modified 2003-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -62,7 +62,7 @@ initial_setup (j_compress_ptr cinfo)
case 5: cinfo->natural_order = jpeg_natural_order5; break;
case 6: cinfo->natural_order = jpeg_natural_order6; break;
case 7: cinfo->natural_order = jpeg_natural_order7; break;
default: cinfo->natural_order = jpeg_natural_order; break;
default: cinfo->natural_order = jpeg_natural_order;
}
/* Derive lim_Se from block_size */
@@ -114,20 +114,24 @@ initial_setup (j_compress_ptr cinfo)
*/
ssize = 1;
#ifdef DCT_SCALING_SUPPORTED
while (cinfo->min_DCT_h_scaled_size * ssize <=
(cinfo->do_fancy_downsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_h_samp_factor % (compptr->h_samp_factor * ssize * 2)) == 0) {
ssize = ssize * 2;
}
if (! cinfo->raw_data_in)
while (cinfo->min_DCT_h_scaled_size * ssize <=
(cinfo->do_fancy_downsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_h_samp_factor % (compptr->h_samp_factor * ssize * 2)) ==
0) {
ssize = ssize * 2;
}
#endif
compptr->DCT_h_scaled_size = cinfo->min_DCT_h_scaled_size * ssize;
ssize = 1;
#ifdef DCT_SCALING_SUPPORTED
while (cinfo->min_DCT_v_scaled_size * ssize <=
(cinfo->do_fancy_downsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_v_samp_factor % (compptr->v_samp_factor * ssize * 2)) == 0) {
ssize = ssize * 2;
}
if (! cinfo->raw_data_in)
while (cinfo->min_DCT_v_scaled_size * ssize <=
(cinfo->do_fancy_downsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_v_samp_factor % (compptr->v_samp_factor * ssize * 2)) ==
0) {
ssize = ssize * 2;
}
#endif
compptr->DCT_v_scaled_size = cinfo->min_DCT_v_scaled_size * ssize;
@@ -620,9 +624,8 @@ jinit_c_master_control (j_compress_ptr cinfo, boolean transcode_only)
{
my_master_ptr master;
master = (my_master_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(my_comp_master));
master = (my_master_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(my_comp_master));
cinfo->master = &master->pub;
master->pub.prepare_for_pass = prepare_for_pass;
master->pub.pass_startup = pass_startup;
+138
View File
@@ -2,6 +2,7 @@
* jcomapi.c
*
* Copyright (C) 1994-1997, Thomas G. Lane.
* Modified 2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -104,3 +105,140 @@ jpeg_alloc_huff_table (j_common_ptr cinfo)
tbl->sent_table = FALSE; /* make sure this is false in any new table */
return tbl;
}
/*
* Set up the standard Huffman tables (cf. JPEG standard section K.3).
* IMPORTANT: these are only valid for 8-bit data precision!
* (Would jutils.c be a more reasonable place to put this?)
*/
GLOBAL(JHUFF_TBL *)
jpeg_std_huff_table (j_common_ptr cinfo, boolean isDC, int tblno)
{
JHUFF_TBL **htblptr, *htbl;
const UINT8 *bits, *val;
int nsymbols, len;
static const UINT8 bits_dc_luminance[17] =
{ /* 0-base */ 0, 0, 1, 5, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0 };
static const UINT8 val_dc_luminance[] =
{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 };
static const UINT8 bits_dc_chrominance[17] =
{ /* 0-base */ 0, 0, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0 };
static const UINT8 val_dc_chrominance[] =
{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 };
static const UINT8 bits_ac_luminance[17] =
{ /* 0-base */ 0, 0, 2, 1, 3, 3, 2, 4, 3, 5, 5, 4, 4, 0, 0, 1, 0x7d };
static const UINT8 val_ac_luminance[] =
{ 0x01, 0x02, 0x03, 0x00, 0x04, 0x11, 0x05, 0x12,
0x21, 0x31, 0x41, 0x06, 0x13, 0x51, 0x61, 0x07,
0x22, 0x71, 0x14, 0x32, 0x81, 0x91, 0xa1, 0x08,
0x23, 0x42, 0xb1, 0xc1, 0x15, 0x52, 0xd1, 0xf0,
0x24, 0x33, 0x62, 0x72, 0x82, 0x09, 0x0a, 0x16,
0x17, 0x18, 0x19, 0x1a, 0x25, 0x26, 0x27, 0x28,
0x29, 0x2a, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39,
0x3a, 0x43, 0x44, 0x45, 0x46, 0x47, 0x48, 0x49,
0x4a, 0x53, 0x54, 0x55, 0x56, 0x57, 0x58, 0x59,
0x5a, 0x63, 0x64, 0x65, 0x66, 0x67, 0x68, 0x69,
0x6a, 0x73, 0x74, 0x75, 0x76, 0x77, 0x78, 0x79,
0x7a, 0x83, 0x84, 0x85, 0x86, 0x87, 0x88, 0x89,
0x8a, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97, 0x98,
0x99, 0x9a, 0xa2, 0xa3, 0xa4, 0xa5, 0xa6, 0xa7,
0xa8, 0xa9, 0xaa, 0xb2, 0xb3, 0xb4, 0xb5, 0xb6,
0xb7, 0xb8, 0xb9, 0xba, 0xc2, 0xc3, 0xc4, 0xc5,
0xc6, 0xc7, 0xc8, 0xc9, 0xca, 0xd2, 0xd3, 0xd4,
0xd5, 0xd6, 0xd7, 0xd8, 0xd9, 0xda, 0xe1, 0xe2,
0xe3, 0xe4, 0xe5, 0xe6, 0xe7, 0xe8, 0xe9, 0xea,
0xf1, 0xf2, 0xf3, 0xf4, 0xf5, 0xf6, 0xf7, 0xf8,
0xf9, 0xfa };
static const UINT8 bits_ac_chrominance[17] =
{ /* 0-base */ 0, 0, 2, 1, 2, 4, 4, 3, 4, 7, 5, 4, 4, 0, 1, 2, 0x77 };
static const UINT8 val_ac_chrominance[] =
{ 0x00, 0x01, 0x02, 0x03, 0x11, 0x04, 0x05, 0x21,
0x31, 0x06, 0x12, 0x41, 0x51, 0x07, 0x61, 0x71,
0x13, 0x22, 0x32, 0x81, 0x08, 0x14, 0x42, 0x91,
0xa1, 0xb1, 0xc1, 0x09, 0x23, 0x33, 0x52, 0xf0,
0x15, 0x62, 0x72, 0xd1, 0x0a, 0x16, 0x24, 0x34,
0xe1, 0x25, 0xf1, 0x17, 0x18, 0x19, 0x1a, 0x26,
0x27, 0x28, 0x29, 0x2a, 0x35, 0x36, 0x37, 0x38,
0x39, 0x3a, 0x43, 0x44, 0x45, 0x46, 0x47, 0x48,
0x49, 0x4a, 0x53, 0x54, 0x55, 0x56, 0x57, 0x58,
0x59, 0x5a, 0x63, 0x64, 0x65, 0x66, 0x67, 0x68,
0x69, 0x6a, 0x73, 0x74, 0x75, 0x76, 0x77, 0x78,
0x79, 0x7a, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8a, 0x92, 0x93, 0x94, 0x95, 0x96,
0x97, 0x98, 0x99, 0x9a, 0xa2, 0xa3, 0xa4, 0xa5,
0xa6, 0xa7, 0xa8, 0xa9, 0xaa, 0xb2, 0xb3, 0xb4,
0xb5, 0xb6, 0xb7, 0xb8, 0xb9, 0xba, 0xc2, 0xc3,
0xc4, 0xc5, 0xc6, 0xc7, 0xc8, 0xc9, 0xca, 0xd2,
0xd3, 0xd4, 0xd5, 0xd6, 0xd7, 0xd8, 0xd9, 0xda,
0xe2, 0xe3, 0xe4, 0xe5, 0xe6, 0xe7, 0xe8, 0xe9,
0xea, 0xf2, 0xf3, 0xf4, 0xf5, 0xf6, 0xf7, 0xf8,
0xf9, 0xfa };
if (cinfo->is_decompressor) {
if (isDC)
htblptr = ((j_decompress_ptr) cinfo)->dc_huff_tbl_ptrs;
else
htblptr = ((j_decompress_ptr) cinfo)->ac_huff_tbl_ptrs;
} else {
if (isDC)
htblptr = ((j_compress_ptr) cinfo)->dc_huff_tbl_ptrs;
else
htblptr = ((j_compress_ptr) cinfo)->ac_huff_tbl_ptrs;
}
switch (tblno) {
case 0:
if (isDC) {
bits = bits_dc_luminance;
val = val_dc_luminance;
} else {
bits = bits_ac_luminance;
val = val_ac_luminance;
}
break;
case 1:
if (isDC) {
bits = bits_dc_chrominance;
val = val_dc_chrominance;
} else {
bits = bits_ac_chrominance;
val = val_ac_chrominance;
}
break;
default:
ERREXIT1(cinfo, JERR_NO_HUFF_TABLE, tblno);
return NULL; /* avoid compiler warnings for uninitialized variables */
}
if (htblptr[tblno] == NULL)
htblptr[tblno] = jpeg_alloc_huff_table(cinfo);
htbl = htblptr[tblno];
/* Copy the number-of-symbols-of-each-code-length counts */
MEMCOPY(htbl->bits, bits, SIZEOF(htbl->bits));
/* Validate the counts. We do this here mainly so we can copy the right
* number of symbols from the val[] array, without risking marching off
* the end of memory. jxhuff.c will do a more thorough test later.
*/
nsymbols = 0;
for (len = 1; len <= 16; len++)
nsymbols += bits[len];
if (nsymbols > 256)
ERREXIT(cinfo, JERR_BAD_HUFF_TABLE);
if (nsymbols > 0)
MEMCOPY(htbl->huffval, val, nsymbols * SIZEOF(UINT8));
/* Initialize sent_table FALSE so table will be written to JPEG file. */
htbl->sent_table = FALSE;
return htbl;
}
+14 -103
View File
@@ -2,7 +2,7 @@
* jcparam.c
*
* Copyright (C) 1991-1998, Thomas G. Lane.
* Modified 2003-2013 by Guido Vollbeding.
* Modified 2003-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -162,112 +162,23 @@ jpeg_set_quality (j_compress_ptr cinfo, int quality, boolean force_baseline)
/*
* Huffman table setup routines
* Reset standard Huffman tables
*/
LOCAL(void)
add_huff_table (j_compress_ptr cinfo,
JHUFF_TBL **htblptr, const UINT8 *bits, const UINT8 *val)
/* Define a Huffman table */
{
int nsymbols, len;
if (*htblptr == NULL)
*htblptr = jpeg_alloc_huff_table((j_common_ptr) cinfo);
/* Copy the number-of-symbols-of-each-code-length counts */
MEMCOPY((*htblptr)->bits, bits, SIZEOF((*htblptr)->bits));
/* Validate the counts. We do this here mainly so we can copy the right
* number of symbols from the val[] array, without risking marching off
* the end of memory. jchuff.c will do a more thorough test later.
*/
nsymbols = 0;
for (len = 1; len <= 16; len++)
nsymbols += bits[len];
if (nsymbols < 1 || nsymbols > 256)
ERREXIT(cinfo, JERR_BAD_HUFF_TABLE);
MEMCOPY((*htblptr)->huffval, val, nsymbols * SIZEOF(UINT8));
/* Initialize sent_table FALSE so table will be written to JPEG file. */
(*htblptr)->sent_table = FALSE;
}
LOCAL(void)
std_huff_tables (j_compress_ptr cinfo)
/* Set up the standard Huffman tables (cf. JPEG standard section K.3) */
/* IMPORTANT: these are only valid for 8-bit data precision! */
{
static const UINT8 bits_dc_luminance[17] =
{ /* 0-base */ 0, 0, 1, 5, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0 };
static const UINT8 val_dc_luminance[] =
{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 };
static const UINT8 bits_dc_chrominance[17] =
{ /* 0-base */ 0, 0, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0 };
static const UINT8 val_dc_chrominance[] =
{ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 };
static const UINT8 bits_ac_luminance[17] =
{ /* 0-base */ 0, 0, 2, 1, 3, 3, 2, 4, 3, 5, 5, 4, 4, 0, 0, 1, 0x7d };
static const UINT8 val_ac_luminance[] =
{ 0x01, 0x02, 0x03, 0x00, 0x04, 0x11, 0x05, 0x12,
0x21, 0x31, 0x41, 0x06, 0x13, 0x51, 0x61, 0x07,
0x22, 0x71, 0x14, 0x32, 0x81, 0x91, 0xa1, 0x08,
0x23, 0x42, 0xb1, 0xc1, 0x15, 0x52, 0xd1, 0xf0,
0x24, 0x33, 0x62, 0x72, 0x82, 0x09, 0x0a, 0x16,
0x17, 0x18, 0x19, 0x1a, 0x25, 0x26, 0x27, 0x28,
0x29, 0x2a, 0x34, 0x35, 0x36, 0x37, 0x38, 0x39,
0x3a, 0x43, 0x44, 0x45, 0x46, 0x47, 0x48, 0x49,
0x4a, 0x53, 0x54, 0x55, 0x56, 0x57, 0x58, 0x59,
0x5a, 0x63, 0x64, 0x65, 0x66, 0x67, 0x68, 0x69,
0x6a, 0x73, 0x74, 0x75, 0x76, 0x77, 0x78, 0x79,
0x7a, 0x83, 0x84, 0x85, 0x86, 0x87, 0x88, 0x89,
0x8a, 0x92, 0x93, 0x94, 0x95, 0x96, 0x97, 0x98,
0x99, 0x9a, 0xa2, 0xa3, 0xa4, 0xa5, 0xa6, 0xa7,
0xa8, 0xa9, 0xaa, 0xb2, 0xb3, 0xb4, 0xb5, 0xb6,
0xb7, 0xb8, 0xb9, 0xba, 0xc2, 0xc3, 0xc4, 0xc5,
0xc6, 0xc7, 0xc8, 0xc9, 0xca, 0xd2, 0xd3, 0xd4,
0xd5, 0xd6, 0xd7, 0xd8, 0xd9, 0xda, 0xe1, 0xe2,
0xe3, 0xe4, 0xe5, 0xe6, 0xe7, 0xe8, 0xe9, 0xea,
0xf1, 0xf2, 0xf3, 0xf4, 0xf5, 0xf6, 0xf7, 0xf8,
0xf9, 0xfa };
static const UINT8 bits_ac_chrominance[17] =
{ /* 0-base */ 0, 0, 2, 1, 2, 4, 4, 3, 4, 7, 5, 4, 4, 0, 1, 2, 0x77 };
static const UINT8 val_ac_chrominance[] =
{ 0x00, 0x01, 0x02, 0x03, 0x11, 0x04, 0x05, 0x21,
0x31, 0x06, 0x12, 0x41, 0x51, 0x07, 0x61, 0x71,
0x13, 0x22, 0x32, 0x81, 0x08, 0x14, 0x42, 0x91,
0xa1, 0xb1, 0xc1, 0x09, 0x23, 0x33, 0x52, 0xf0,
0x15, 0x62, 0x72, 0xd1, 0x0a, 0x16, 0x24, 0x34,
0xe1, 0x25, 0xf1, 0x17, 0x18, 0x19, 0x1a, 0x26,
0x27, 0x28, 0x29, 0x2a, 0x35, 0x36, 0x37, 0x38,
0x39, 0x3a, 0x43, 0x44, 0x45, 0x46, 0x47, 0x48,
0x49, 0x4a, 0x53, 0x54, 0x55, 0x56, 0x57, 0x58,
0x59, 0x5a, 0x63, 0x64, 0x65, 0x66, 0x67, 0x68,
0x69, 0x6a, 0x73, 0x74, 0x75, 0x76, 0x77, 0x78,
0x79, 0x7a, 0x82, 0x83, 0x84, 0x85, 0x86, 0x87,
0x88, 0x89, 0x8a, 0x92, 0x93, 0x94, 0x95, 0x96,
0x97, 0x98, 0x99, 0x9a, 0xa2, 0xa3, 0xa4, 0xa5,
0xa6, 0xa7, 0xa8, 0xa9, 0xaa, 0xb2, 0xb3, 0xb4,
0xb5, 0xb6, 0xb7, 0xb8, 0xb9, 0xba, 0xc2, 0xc3,
0xc4, 0xc5, 0xc6, 0xc7, 0xc8, 0xc9, 0xca, 0xd2,
0xd3, 0xd4, 0xd5, 0xd6, 0xd7, 0xd8, 0xd9, 0xda,
0xe2, 0xe3, 0xe4, 0xe5, 0xe6, 0xe7, 0xe8, 0xe9,
0xea, 0xf2, 0xf3, 0xf4, 0xf5, 0xf6, 0xf7, 0xf8,
0xf9, 0xfa };
add_huff_table(cinfo, &cinfo->dc_huff_tbl_ptrs[0],
bits_dc_luminance, val_dc_luminance);
add_huff_table(cinfo, &cinfo->ac_huff_tbl_ptrs[0],
bits_ac_luminance, val_ac_luminance);
add_huff_table(cinfo, &cinfo->dc_huff_tbl_ptrs[1],
bits_dc_chrominance, val_dc_chrominance);
add_huff_table(cinfo, &cinfo->ac_huff_tbl_ptrs[1],
bits_ac_chrominance, val_ac_chrominance);
if (cinfo->dc_huff_tbl_ptrs[0] != NULL)
(void) jpeg_std_huff_table((j_common_ptr) cinfo, TRUE, 0);
if (cinfo->ac_huff_tbl_ptrs[0] != NULL)
(void) jpeg_std_huff_table((j_common_ptr) cinfo, FALSE, 0);
if (cinfo->dc_huff_tbl_ptrs[1] != NULL)
(void) jpeg_std_huff_table((j_common_ptr) cinfo, TRUE, 1);
if (cinfo->ac_huff_tbl_ptrs[1] != NULL)
(void) jpeg_std_huff_table((j_common_ptr) cinfo, FALSE, 1);
}
@@ -306,7 +217,7 @@ jpeg_set_defaults (j_compress_ptr cinfo)
cinfo->data_precision = BITS_IN_JSAMPLE;
/* Set up two quantization tables using default quality of 75 */
jpeg_set_quality(cinfo, 75, TRUE);
/* Set up two Huffman tables */
/* Reset standard Huffman tables */
std_huff_tables(cinfo);
/* Initialize default arithmetic coding conditioning */
+14 -14
View File
@@ -1,7 +1,7 @@
/*
* jdarith.c
*
* Developed 1997-2015 by Guido Vollbeding.
* Developed 1997-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -280,7 +280,7 @@ decode_mcu_DC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if ((m = arith_decode(cinfo, st)) != 0) {
st = entropy->dc_stats[tbl] + 20; /* Table F.4: X1 = 20 */
while (arith_decode(cinfo, st)) {
if ((m <<= 1) == 0x8000) {
if ((m <<= 1) == (int) 0x8000U) {
WARNMS(cinfo, JWRN_ARITH_BAD_CODE);
entropy->ct = -1; /* magnitude overflow */
return TRUE;
@@ -370,7 +370,7 @@ decode_mcu_AC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
st = entropy->ac_stats[tbl] +
(k <= cinfo->arith_ac_K[tbl] ? 189 : 217);
while (arith_decode(cinfo, st)) {
if ((m <<= 1) == 0x8000) {
if ((m <<= 1) == (int) 0x8000U) {
WARNMS(cinfo, JWRN_ARITH_BAD_CODE);
entropy->ct = -1; /* magnitude overflow */
return TRUE;
@@ -404,7 +404,8 @@ decode_mcu_DC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
{
arith_entropy_ptr entropy = (arith_entropy_ptr) cinfo->entropy;
unsigned char *st;
int p1, blkn;
JCOEF p1;
int blkn;
/* Process restart marker if needed */
if (cinfo->restart_interval) {
@@ -440,7 +441,7 @@ decode_mcu_AC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
JCOEFPTR thiscoef;
unsigned char *st;
int tbl, k, kex;
int p1, m1;
JCOEF p1, m1;
const int * natural_order;
/* Process restart marker if needed */
@@ -459,7 +460,7 @@ decode_mcu_AC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
tbl = cinfo->cur_comp_info[0]->ac_tbl_no;
p1 = 1 << cinfo->Al; /* 1 in the bit position being coded */
m1 = (-1) << cinfo->Al; /* -1 in the bit position being coded */
m1 = -p1; /* -1 in the bit position being coded */
/* Establish EOBx (previous stage end-of-block) index */
kex = cinfo->Se;
@@ -555,7 +556,7 @@ decode_mcu (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if ((m = arith_decode(cinfo, st)) != 0) {
st = entropy->dc_stats[tbl] + 20; /* Table F.4: X1 = 20 */
while (arith_decode(cinfo, st)) {
if ((m <<= 1) == 0x8000) {
if ((m <<= 1) == (int) 0x8000U) {
WARNMS(cinfo, JWRN_ARITH_BAD_CODE);
entropy->ct = -1; /* magnitude overflow */
return TRUE;
@@ -612,7 +613,7 @@ decode_mcu (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
st = entropy->ac_stats[tbl] +
(k <= cinfo->arith_ac_K[tbl] ? 189 : 217);
while (arith_decode(cinfo, st)) {
if ((m <<= 1) == 0x8000) {
if ((m <<= 1) == (int) 0x8000U) {
WARNMS(cinfo, JWRN_ARITH_BAD_CODE);
entropy->ct = -1; /* magnitude overflow */
return TRUE;
@@ -766,9 +767,8 @@ jinit_arith_decoder (j_decompress_ptr cinfo)
arith_entropy_ptr entropy;
int i;
entropy = (arith_entropy_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(arith_entropy_decoder));
entropy = (arith_entropy_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(arith_entropy_decoder));
cinfo->entropy = &entropy->pub;
entropy->pub.start_pass = start_pass;
entropy->pub.finish_pass = finish_pass;
@@ -785,9 +785,9 @@ jinit_arith_decoder (j_decompress_ptr cinfo)
if (cinfo->progressive_mode) {
/* Create progression status table */
int *coef_bit_ptr, ci;
cinfo->coef_bits = (int (*)[DCTSIZE2])
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
cinfo->num_components*DCTSIZE2*SIZEOF(int));
cinfo->coef_bits = (int (*)[DCTSIZE2]) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE,
cinfo->num_components * DCTSIZE2 * SIZEOF(int));
coef_bit_ptr = & cinfo->coef_bits[0][0];
for (ci = 0; ci < cinfo->num_components; ci++)
for (i = 0; i < DCTSIZE2; i++)
+10 -13
View File
@@ -2,7 +2,7 @@
* jdatadst.c
*
* Copyright (C) 1994-1996, Thomas G. Lane.
* Modified 2009-2017 by Guido Vollbeding.
* Modified 2009-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -46,7 +46,7 @@ typedef struct {
struct jpeg_destination_mgr pub; /* public fields */
unsigned char ** outbuffer; /* target buffer */
unsigned long * outsize;
size_t * outsize;
unsigned char * newbuffer; /* newly allocated buffer */
JOCTET * buffer; /* start of buffer */
size_t bufsize;
@@ -66,9 +66,8 @@ init_destination (j_compress_ptr cinfo)
my_dest_ptr dest = (my_dest_ptr) cinfo->dest;
/* Allocate the output buffer --- it will be released when done with image */
dest->buffer = (JOCTET *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
OUTPUT_BUF_SIZE * SIZEOF(JOCTET));
dest->buffer = (JOCTET *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, OUTPUT_BUF_SIZE * SIZEOF(JOCTET));
dest->pub.next_output_byte = dest->buffer;
dest->pub.free_in_buffer = OUTPUT_BUF_SIZE;
@@ -131,7 +130,7 @@ empty_mem_output_buffer (j_compress_ptr cinfo)
nextbuffer = (JOCTET *) malloc(nextsize);
if (nextbuffer == NULL)
ERREXIT1(cinfo, JERR_OUT_OF_MEMORY, 10);
ERREXIT1(cinfo, JERR_OUT_OF_MEMORY, 11);
MEMCOPY(nextbuffer, dest->buffer, dest->bufsize);
@@ -204,9 +203,8 @@ jpeg_stdio_dest (j_compress_ptr cinfo, FILE * outfile)
* sizes may be different. Caveat programmer.
*/
if (cinfo->dest == NULL) { /* first time for this JPEG object? */
cinfo->dest = (struct jpeg_destination_mgr *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_PERMANENT,
SIZEOF(my_destination_mgr));
cinfo->dest = (struct jpeg_destination_mgr *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_PERMANENT, SIZEOF(my_destination_mgr));
}
dest = (my_dest_ptr) cinfo->dest;
@@ -233,7 +231,7 @@ jpeg_stdio_dest (j_compress_ptr cinfo, FILE * outfile)
GLOBAL(void)
jpeg_mem_dest (j_compress_ptr cinfo,
unsigned char ** outbuffer, unsigned long * outsize)
unsigned char ** outbuffer, size_t * outsize)
{
my_mem_dest_ptr dest;
@@ -244,9 +242,8 @@ jpeg_mem_dest (j_compress_ptr cinfo,
* can be written to the same buffer without re-executing jpeg_mem_dest.
*/
if (cinfo->dest == NULL) { /* first time for this JPEG object? */
cinfo->dest = (struct jpeg_destination_mgr *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_PERMANENT,
SIZEOF(my_mem_destination_mgr));
cinfo->dest = (struct jpeg_destination_mgr *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_PERMANENT, SIZEOF(my_mem_destination_mgr));
}
dest = (my_mem_dest_ptr) cinfo->dest;
+15 -16
View File
@@ -2,7 +2,7 @@
* jdatasrc.c
*
* Copyright (C) 1994-1996, Thomas G. Lane.
* Modified 2009-2015 by Guido Vollbeding.
* Modified 2009-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -156,21 +156,23 @@ METHODDEF(void)
skip_input_data (j_decompress_ptr cinfo, long num_bytes)
{
struct jpeg_source_mgr * src = cinfo->src;
size_t nbytes;
/* Just a dumb implementation for now. Could use fseek() except
* it doesn't work on pipes. Not clear that being smart is worth
* any trouble anyway --- large skips are infrequent.
*/
if (num_bytes > 0) {
while (num_bytes > (long) src->bytes_in_buffer) {
num_bytes -= (long) src->bytes_in_buffer;
nbytes = (size_t) num_bytes;
while (nbytes > src->bytes_in_buffer) {
nbytes -= src->bytes_in_buffer;
(void) (*src->fill_input_buffer) (cinfo);
/* note we assume that fill_input_buffer will never return FALSE,
* so suspension need not be handled.
*/
}
src->next_input_byte += (size_t) num_bytes;
src->bytes_in_buffer -= (size_t) num_bytes;
src->next_input_byte += nbytes;
src->bytes_in_buffer -= nbytes;
}
}
@@ -219,13 +221,11 @@ jpeg_stdio_src (j_decompress_ptr cinfo, FILE * infile)
* manager serially with the same JPEG object. Caveat programmer.
*/
if (cinfo->src == NULL) { /* first time for this JPEG object? */
cinfo->src = (struct jpeg_source_mgr *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_PERMANENT,
SIZEOF(my_source_mgr));
cinfo->src = (struct jpeg_source_mgr *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_PERMANENT, SIZEOF(my_source_mgr));
src = (my_src_ptr) cinfo->src;
src->buffer = (JOCTET *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_PERMANENT,
INPUT_BUF_SIZE * SIZEOF(JOCTET));
src->buffer = (JOCTET *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_PERMANENT, INPUT_BUF_SIZE * SIZEOF(JOCTET));
}
src = (my_src_ptr) cinfo->src;
@@ -247,7 +247,7 @@ jpeg_stdio_src (j_decompress_ptr cinfo, FILE * infile)
GLOBAL(void)
jpeg_mem_src (j_decompress_ptr cinfo,
const unsigned char * inbuffer, unsigned long insize)
const unsigned char * inbuffer, size_t insize)
{
struct jpeg_source_mgr * src;
@@ -259,9 +259,8 @@ jpeg_mem_src (j_decompress_ptr cinfo,
* the first one.
*/
if (cinfo->src == NULL) { /* first time for this JPEG object? */
cinfo->src = (struct jpeg_source_mgr *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_PERMANENT,
SIZEOF(struct jpeg_source_mgr));
cinfo->src = (struct jpeg_source_mgr *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_PERMANENT, SIZEOF(struct jpeg_source_mgr));
}
src = cinfo->src;
@@ -270,6 +269,6 @@ jpeg_mem_src (j_decompress_ptr cinfo,
src->skip_input_data = skip_input_data;
src->resync_to_restart = jpeg_resync_to_restart; /* use default method */
src->term_source = term_source;
src->bytes_in_buffer = (size_t) insize;
src->bytes_in_buffer = insize;
src->next_input_byte = (const JOCTET *) inbuffer;
}
+59 -71
View File
@@ -2,7 +2,7 @@
* jdcolor.c
*
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 2011-2017 by Guido Vollbeding.
* Modified 2011-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -124,28 +124,22 @@ build_ycc_rgb_table (j_decompress_ptr cinfo)
INT32 x;
SHIFT_TEMPS
cconvert->Cr_r_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cb_b_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cr_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
cconvert->Cb_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
cconvert->Cr_r_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cb_b_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cr_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
cconvert->Cb_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
for (i = 0, x = -CENTERJSAMPLE; i <= MAXJSAMPLE; i++, x++) {
/* i is the actual input pixel value, in the range 0..MAXJSAMPLE */
/* The Cb or Cr value we are thinking of is x = i - CENTERJSAMPLE */
/* Cr=>R value is nearest int to 1.402 * x */
cconvert->Cr_r_tab[i] = (int)
RIGHT_SHIFT(FIX(1.402) * x + ONE_HALF, SCALEBITS);
cconvert->Cr_r_tab[i] = (int) DESCALE(FIX(1.402) * x, SCALEBITS);
/* Cb=>B value is nearest int to 1.772 * x */
cconvert->Cb_b_tab[i] = (int)
RIGHT_SHIFT(FIX(1.772) * x + ONE_HALF, SCALEBITS);
cconvert->Cb_b_tab[i] = (int) DESCALE(FIX(1.772) * x, SCALEBITS);
/* Cr=>G value is scaled-up -0.714136286 * x */
cconvert->Cr_g_tab[i] = (- FIX(0.714136286)) * x;
/* Cb=>G value is scaled-up -0.344136286 * x */
@@ -164,28 +158,22 @@ build_bg_ycc_rgb_table (j_decompress_ptr cinfo)
INT32 x;
SHIFT_TEMPS
cconvert->Cr_r_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cb_b_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cr_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
cconvert->Cb_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
cconvert->Cr_r_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cb_b_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
cconvert->Cr_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
cconvert->Cb_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
for (i = 0, x = -CENTERJSAMPLE; i <= MAXJSAMPLE; i++, x++) {
/* i is the actual input pixel value, in the range 0..MAXJSAMPLE */
/* The Cb or Cr value we are thinking of is x = i - CENTERJSAMPLE */
/* Cr=>R value is nearest int to 2.804 * x */
cconvert->Cr_r_tab[i] = (int)
RIGHT_SHIFT(FIX(2.804) * x + ONE_HALF, SCALEBITS);
cconvert->Cr_r_tab[i] = (int) DESCALE(FIX(2.804) * x, SCALEBITS);
/* Cb=>B value is nearest int to 3.544 * x */
cconvert->Cb_b_tab[i] = (int)
RIGHT_SHIFT(FIX(3.544) * x + ONE_HALF, SCALEBITS);
cconvert->Cb_b_tab[i] = (int) DESCALE(FIX(3.544) * x, SCALEBITS);
/* Cr=>G value is scaled-up -1.428272572 * x */
cconvert->Cr_g_tab[i] = (- FIX(1.428272572)) * x;
/* Cb=>G value is scaled-up -0.688272572 * x */
@@ -201,6 +189,7 @@ build_bg_ycc_rgb_table (j_decompress_ptr cinfo)
* Note that we change from noninterleaved, one-plane-per-component format
* to interleaved-pixel format. The output buffer is therefore three times
* as wide as the input buffer.
*
* A starting row offset is provided only for the input buffer. The caller
* can easily adjust the passed output_buf value to accommodate any row
* offset required on that side.
@@ -264,9 +253,8 @@ build_rgb_y_table (j_decompress_ptr cinfo)
INT32 i;
/* Allocate and fill in the conversion tables. */
cconvert->rgb_y_tab = rgb_y_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(TABLE_SIZE * SIZEOF(INT32)));
cconvert->rgb_y_tab = rgb_y_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, TABLE_SIZE * SIZEOF(INT32));
for (i = 0; i <= MAXJSAMPLE; i++) {
rgb_y_tab[i+R_Y_OFF] = FIX(0.299) * i;
@@ -286,8 +274,8 @@ rgb_gray_convert (j_decompress_ptr cinfo,
JSAMPARRAY output_buf, int num_rows)
{
my_cconvert_ptr cconvert = (my_cconvert_ptr) cinfo->cconvert;
register INT32 * ctab = cconvert->rgb_y_tab;
register int r, g, b;
register INT32 * ctab = cconvert->rgb_y_tab;
register JSAMPROW outptr;
register JSAMPROW inptr0, inptr1, inptr2;
register JDIMENSION col;
@@ -313,6 +301,7 @@ rgb_gray_convert (j_decompress_ptr cinfo,
/*
* Convert some rows of samples to the output colorspace.
* [R-G,G,B-G] to [R,G,B] conversion with modulo calculation
* (inverse color transform).
* This can be seen as an adaption of the general YCbCr->RGB
@@ -364,8 +353,8 @@ rgb1_gray_convert (j_decompress_ptr cinfo,
JSAMPARRAY output_buf, int num_rows)
{
my_cconvert_ptr cconvert = (my_cconvert_ptr) cinfo->cconvert;
register INT32 * ctab = cconvert->rgb_y_tab;
register int r, g, b;
register INT32 * ctab = cconvert->rgb_y_tab;
register JSAMPROW outptr;
register JSAMPROW inptr0, inptr1, inptr2;
register JDIMENSION col;
@@ -396,6 +385,7 @@ rgb1_gray_convert (j_decompress_ptr cinfo,
/*
* Convert some rows of samples to the output colorspace.
* No colorspace change, but conversion from separate-planes
* to interleaved representation.
*/
@@ -430,6 +420,7 @@ rgb_convert (j_decompress_ptr cinfo,
/*
* Color conversion for no colorspace change: just copy the data,
* converting from separate-planes to interleaved representation.
* We assume out_color_components == num_components.
*/
METHODDEF(void)
@@ -437,20 +428,21 @@ null_convert (j_decompress_ptr cinfo,
JSAMPIMAGE input_buf, JDIMENSION input_row,
JSAMPARRAY output_buf, int num_rows)
{
int ci;
register int nc = cinfo->num_components;
register JSAMPROW outptr;
register JSAMPROW inptr;
register JDIMENSION col;
register JDIMENSION count;
register int num_comps = cinfo->num_components;
JDIMENSION num_cols = cinfo->output_width;
int ci;
while (--num_rows >= 0) {
for (ci = 0; ci < nc; ci++) {
/* It seems fastest to make a separate pass for each component. */
for (ci = 0; ci < num_comps; ci++) {
inptr = input_buf[ci][input_row];
outptr = output_buf[0] + ci;
for (col = 0; col < num_cols; col++) {
*outptr = *inptr++; /* needn't bother with GETJSAMPLE() here */
outptr += nc;
for (count = num_cols; count > 0; count--) {
*outptr = *inptr++; /* don't need GETJSAMPLE() here */
outptr += num_comps;
}
}
input_row++;
@@ -504,9 +496,10 @@ gray_rgb_convert (j_decompress_ptr cinfo,
/*
* Adobe-style YCCK->CMYK conversion.
* We convert YCbCr to R=1-C, G=1-M, and B=1-Y using the same
* conversion as above, while passing K (black) unchanged.
* Convert some rows of samples to the output colorspace.
* This version handles Adobe-style YCCK->CMYK conversion,
* where we convert YCbCr to R=1-C, G=1-M, and B=1-Y using the
* same conversion as above, while passing K (black) unchanged.
* We assume build_ycc_rgb_table has been called.
*/
@@ -577,9 +570,8 @@ jinit_color_deconverter (j_decompress_ptr cinfo)
my_cconvert_ptr cconvert;
int ci;
cconvert = (my_cconvert_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(my_color_deconverter));
cconvert = (my_cconvert_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(my_color_deconverter));
cinfo->cconvert = &cconvert->pub;
cconvert->pub.start_pass = start_pass_dcolor;
@@ -607,7 +599,6 @@ jinit_color_deconverter (j_decompress_ptr cinfo)
default: /* JCS_UNKNOWN can be anything */
if (cinfo->num_components < 1)
ERREXIT(cinfo, JERR_BAD_J_COLORSPACE);
break;
}
/* Support color transform only for RGB colorspaces */
@@ -684,19 +675,18 @@ jinit_color_deconverter (j_decompress_ptr cinfo)
case JCS_BG_RGB:
cinfo->out_color_components = RGB_PIXELSIZE;
if (cinfo->jpeg_color_space == JCS_BG_RGB) {
switch (cinfo->color_transform) {
case JCT_NONE:
cconvert->pub.color_convert = rgb_convert;
break;
case JCT_SUBTRACT_GREEN:
cconvert->pub.color_convert = rgb1_rgb_convert;
break;
default:
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
}
} else
if (cinfo->jpeg_color_space != JCS_BG_RGB)
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
switch (cinfo->color_transform) {
case JCT_NONE:
cconvert->pub.color_convert = rgb_convert;
break;
case JCT_SUBTRACT_GREEN:
cconvert->pub.color_convert = rgb1_rgb_convert;
break;
default:
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
}
break;
case JCS_CMYK:
@@ -714,14 +704,12 @@ jinit_color_deconverter (j_decompress_ptr cinfo)
}
break;
default:
/* Permit null conversion to same output space */
if (cinfo->out_color_space == cinfo->jpeg_color_space) {
cinfo->out_color_components = cinfo->num_components;
cconvert->pub.color_convert = null_convert;
} else /* unsupported non-null conversion */
default: /* permit null conversion to same output space */
if (cinfo->out_color_space != cinfo->jpeg_color_space)
/* unsupported non-null conversion */
ERREXIT(cinfo, JERR_CONVERSION_NOTIMPL);
break;
cinfo->out_color_components = cinfo->num_components;
cconvert->pub.color_convert = null_convert;
}
if (cinfo->quantize_colors)
+1 -8
View File
@@ -2,7 +2,7 @@
* jdct.h
*
* Copyright (C) 1994-1996, Thomas G. Lane.
* Modified 2002-2017 by Guido Vollbeding.
* Modified 2002-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -358,13 +358,6 @@ EXTERN(void) jpeg_idct_1x2
#define FIX(x) ((INT32) ((x) * CONST_SCALE + 0.5))
/* Descale and correctly round an INT32 value that's scaled by N bits.
* We assume RIGHT_SHIFT rounds towards minus infinity, so adding
* the fudge factor is correct for either sign of X.
*/
#define DESCALE(x,n) RIGHT_SHIFT((x) + (ONE << ((n)-1)), n)
/* Multiply an INT32 variable by an INT32 constant to yield an INT32 result.
* This macro is used only when the two inputs will actually be no more than
* 16 bits wide, so that a 16x16->32 bit multiply can be used instead of a
+56 -50
View File
@@ -2,7 +2,7 @@
* jdhuff.c
*
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 2006-2016 by Guido Vollbeding.
* Modified 2006-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -341,13 +341,12 @@ jpeg_make_d_derived_tbl (j_decompress_ptr cinfo, boolean isDC, int tblno,
htbl =
isDC ? cinfo->dc_huff_tbl_ptrs[tblno] : cinfo->ac_huff_tbl_ptrs[tblno];
if (htbl == NULL)
ERREXIT1(cinfo, JERR_NO_HUFF_TABLE, tblno);
htbl = jpeg_std_huff_table((j_common_ptr) cinfo, isDC, tblno);
/* Allocate a workspace if we haven't already done so. */
if (*pdtbl == NULL)
*pdtbl = (d_derived_tbl *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(d_derived_tbl));
*pdtbl = (d_derived_tbl *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(d_derived_tbl));
dtbl = *pdtbl;
dtbl->pub = htbl; /* fill in back link */
@@ -706,7 +705,7 @@ process_restart (j_decompress_ptr cinfo)
METHODDEF(boolean)
decode_mcu_DC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
{
{
huff_entropy_ptr entropy = (huff_entropy_ptr) cinfo->entropy;
int Al = cinfo->Al;
register int s, r;
@@ -730,7 +729,7 @@ decode_mcu_DC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if (! entropy->insufficient_data) {
/* Load up working state */
BITREAD_LOAD_STATE(cinfo,entropy->bitstate);
BITREAD_LOAD_STATE(cinfo, entropy->bitstate);
ASSIGN_STATE(state, entropy->saved);
/* Outer loop handles each block in the MCU */
@@ -759,12 +758,13 @@ decode_mcu_DC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
}
/* Completed MCU, so update state */
BITREAD_SAVE_STATE(cinfo,entropy->bitstate);
BITREAD_SAVE_STATE(cinfo, entropy->bitstate);
ASSIGN_STATE(entropy->saved, state);
}
/* Account for restart interval (no-op if not using restarts) */
entropy->restarts_to_go--;
/* Account for restart interval if using restarts */
if (cinfo->restart_interval)
entropy->restarts_to_go--;
return TRUE;
}
@@ -777,7 +777,7 @@ decode_mcu_DC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
METHODDEF(boolean)
decode_mcu_AC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
{
{
huff_entropy_ptr entropy = (huff_entropy_ptr) cinfo->entropy;
register int s, k, r;
unsigned int EOBRUN;
@@ -809,7 +809,7 @@ decode_mcu_AC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if (EOBRUN) /* if it's a band of zeroes... */
EOBRUN--; /* ...process it now (we do nothing) */
else {
BITREAD_LOAD_STATE(cinfo,entropy->bitstate);
BITREAD_LOAD_STATE(cinfo, entropy->bitstate);
Se = cinfo->Se;
Al = cinfo->Al;
natural_order = cinfo->natural_order;
@@ -842,15 +842,16 @@ decode_mcu_AC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
}
}
BITREAD_SAVE_STATE(cinfo,entropy->bitstate);
BITREAD_SAVE_STATE(cinfo, entropy->bitstate);
}
/* Completed MCU, so update state */
entropy->saved.EOBRUN = EOBRUN; /* only part of saved state we need */
}
/* Account for restart interval (no-op if not using restarts) */
entropy->restarts_to_go--;
/* Account for restart interval if using restarts */
if (cinfo->restart_interval)
entropy->restarts_to_go--;
return TRUE;
}
@@ -864,9 +865,10 @@ decode_mcu_AC_first (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
METHODDEF(boolean)
decode_mcu_DC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
{
{
huff_entropy_ptr entropy = (huff_entropy_ptr) cinfo->entropy;
int p1, blkn;
JCOEF p1;
int blkn;
BITREAD_STATE_VARS;
/* Process restart marker if needed; may have to suspend */
@@ -881,7 +883,7 @@ decode_mcu_DC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
*/
/* Load up working state */
BITREAD_LOAD_STATE(cinfo,entropy->bitstate);
BITREAD_LOAD_STATE(cinfo, entropy->bitstate);
p1 = 1 << cinfo->Al; /* 1 in the bit position being coded */
@@ -896,10 +898,11 @@ decode_mcu_DC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
}
/* Completed MCU, so update state */
BITREAD_SAVE_STATE(cinfo,entropy->bitstate);
BITREAD_SAVE_STATE(cinfo, entropy->bitstate);
/* Account for restart interval (no-op if not using restarts) */
entropy->restarts_to_go--;
/* Account for restart interval if using restarts */
if (cinfo->restart_interval)
entropy->restarts_to_go--;
return TRUE;
}
@@ -911,11 +914,12 @@ decode_mcu_DC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
METHODDEF(boolean)
decode_mcu_AC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
{
{
huff_entropy_ptr entropy = (huff_entropy_ptr) cinfo->entropy;
register int s, k, r;
unsigned int EOBRUN;
int Se, p1, m1;
int Se;
JCOEF p1, m1;
const int * natural_order;
JBLOCKROW block;
JCOEFPTR thiscoef;
@@ -937,11 +941,11 @@ decode_mcu_AC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
Se = cinfo->Se;
p1 = 1 << cinfo->Al; /* 1 in the bit position being coded */
m1 = (-1) << cinfo->Al; /* -1 in the bit position being coded */
m1 = -p1; /* -1 in the bit position being coded */
natural_order = cinfo->natural_order;
/* Load up working state */
BITREAD_LOAD_STATE(cinfo,entropy->bitstate);
BITREAD_LOAD_STATE(cinfo, entropy->bitstate);
EOBRUN = entropy->saved.EOBRUN; /* only part of saved state we need */
/* There is always only one block per MCU */
@@ -1043,12 +1047,13 @@ decode_mcu_AC_refine (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
}
/* Completed MCU, so update state */
BITREAD_SAVE_STATE(cinfo,entropy->bitstate);
BITREAD_SAVE_STATE(cinfo, entropy->bitstate);
entropy->saved.EOBRUN = EOBRUN; /* only part of saved state we need */
}
/* Account for restart interval (no-op if not using restarts) */
entropy->restarts_to_go--;
/* Account for restart interval if using restarts */
if (cinfo->restart_interval)
entropy->restarts_to_go--;
return TRUE;
@@ -1091,7 +1096,7 @@ decode_mcu_sub (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
Se = cinfo->lim_Se;
/* Load up working state */
BITREAD_LOAD_STATE(cinfo,entropy->bitstate);
BITREAD_LOAD_STATE(cinfo, entropy->bitstate);
ASSIGN_STATE(state, entropy->saved);
/* Outer loop handles each block in the MCU */
@@ -1178,12 +1183,13 @@ decode_mcu_sub (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
}
/* Completed MCU, so update state */
BITREAD_SAVE_STATE(cinfo,entropy->bitstate);
BITREAD_SAVE_STATE(cinfo, entropy->bitstate);
ASSIGN_STATE(entropy->saved, state);
}
/* Account for restart interval (no-op if not using restarts) */
entropy->restarts_to_go--;
/* Account for restart interval if using restarts */
if (cinfo->restart_interval)
entropy->restarts_to_go--;
return TRUE;
}
@@ -1215,7 +1221,7 @@ decode_mcu (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
if (! entropy->insufficient_data) {
/* Load up working state */
BITREAD_LOAD_STATE(cinfo,entropy->bitstate);
BITREAD_LOAD_STATE(cinfo, entropy->bitstate);
ASSIGN_STATE(state, entropy->saved);
/* Outer loop handles each block in the MCU */
@@ -1302,12 +1308,13 @@ decode_mcu (j_decompress_ptr cinfo, JBLOCKROW *MCU_data)
}
/* Completed MCU, so update state */
BITREAD_SAVE_STATE(cinfo,entropy->bitstate);
BITREAD_SAVE_STATE(cinfo, entropy->bitstate);
ASSIGN_STATE(entropy->saved, state);
}
/* Account for restart interval (no-op if not using restarts) */
entropy->restarts_to_go--;
/* Account for restart interval if using restarts */
if (cinfo->restart_interval)
entropy->restarts_to_go--;
return TRUE;
}
@@ -1343,11 +1350,11 @@ start_pass_huff_decoder (j_decompress_ptr cinfo)
goto bad;
}
if (cinfo->Al > 13) { /* need not check for < 0 */
/* Arguably the maximum Al value should be less than 13 for 8-bit precision,
* but the spec doesn't say so, and we try to be liberal about what we
* accept. Note: large Al values could result in out-of-range DC
* coefficients during early scans, leading to bizarre displays due to
* overflows in the IDCT math. But we won't crash.
/* Arguably the maximum Al value should be less than 13 for 8-bit
* precision, but the spec doesn't say so, and we try to be liberal
* about what we accept. Note: large Al values could result in
* out-of-range DC coefficients during early scans, leading to bizarre
* displays due to overflows in the IDCT math. But we won't crash.
*/
bad:
ERREXIT4(cinfo, JERR_BAD_PROGRESSION,
@@ -1451,7 +1458,8 @@ start_pass_huff_decoder (j_decompress_ptr cinfo)
compptr = cinfo->cur_comp_info[ci];
/* Precalculate which table to use for each block */
entropy->dc_cur_tbls[blkn] = entropy->dc_derived_tbls[compptr->dc_tbl_no];
entropy->ac_cur_tbls[blkn] = entropy->ac_derived_tbls[compptr->ac_tbl_no];
entropy->ac_cur_tbls[blkn] = /* AC needs no table when not present */
cinfo->lim_Se ? entropy->ac_derived_tbls[compptr->ac_tbl_no] : NULL;
/* Decide whether we really care about the coefficient values */
if (compptr->component_needed) {
ci = compptr->DCT_v_scaled_size;
@@ -1494,7 +1502,6 @@ start_pass_huff_decoder (j_decompress_ptr cinfo)
if (ci <= 0 || ci > 8) ci = 8;
if (i <= 0 || i > 8) i = 8;
entropy->coef_limit[blkn] = 1 + jpeg_zigzag_order[ci - 1][i - 1];
break;
}
} else {
entropy->coef_limit[blkn] = 0;
@@ -1522,9 +1529,8 @@ jinit_huff_decoder (j_decompress_ptr cinfo)
huff_entropy_ptr entropy;
int i;
entropy = (huff_entropy_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(huff_entropy_decoder));
entropy = (huff_entropy_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(huff_entropy_decoder));
cinfo->entropy = &entropy->pub;
entropy->pub.start_pass = start_pass_huff_decoder;
entropy->pub.finish_pass = finish_pass_huff;
@@ -1532,9 +1538,9 @@ jinit_huff_decoder (j_decompress_ptr cinfo)
if (cinfo->progressive_mode) {
/* Create progression status table */
int *coef_bit_ptr, ci;
cinfo->coef_bits = (int (*)[DCTSIZE2])
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
cinfo->num_components*DCTSIZE2*SIZEOF(int));
cinfo->coef_bits = (int (*)[DCTSIZE2]) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE,
cinfo->num_components * DCTSIZE2 * SIZEOF(int));
coef_bit_ptr = & cinfo->coef_bits[0][0];
for (ci = 0; ci < cinfo->num_components; ci++)
for (i = 0; i < DCTSIZE2; i++)
@@ -1545,7 +1551,7 @@ jinit_huff_decoder (j_decompress_ptr cinfo)
entropy->derived_tbls[i] = NULL;
}
} else {
/* Mark tables unallocated */
/* Mark derived tables unallocated */
for (i = 0; i < NUM_HUFF_TBLS; i++) {
entropy->dc_derived_tbls[i] = entropy->ac_derived_tbls[i] = NULL;
}
+7 -13
View File
@@ -2,7 +2,7 @@
* jdmarker.c
*
* Copyright (C) 1991-1998, Thomas G. Lane.
* Modified 2009-2013 by Guido Vollbeding.
* Modified 2009-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -496,8 +496,6 @@ get_dht (j_decompress_ptr cinfo)
if (count > 256 || ((INT32) count) > length)
ERREXIT(cinfo, JERR_BAD_HUFF_TABLE);
MEMZERO(huffval, SIZEOF(huffval)); /* pre-zero array for later copy */
for (i = 0; i < count; i++)
INPUT_BYTE(cinfo, huffval[i], return FALSE);
@@ -517,7 +515,8 @@ get_dht (j_decompress_ptr cinfo)
*htblptr = jpeg_alloc_huff_table((j_common_ptr) cinfo);
MEMCOPY((*htblptr)->bits, bits, SIZEOF((*htblptr)->bits));
MEMCOPY((*htblptr)->huffval, huffval, SIZEOF((*htblptr)->huffval));
if (count > 0)
MEMCOPY((*htblptr)->huffval, huffval, count * SIZEOF(UINT8));
}
if (length != 0)
@@ -577,14 +576,14 @@ get_dqt (j_decompress_ptr cinfo)
count = DCTSIZE2;
}
switch (count) {
switch ((int) count) {
case (2*2): natural_order = jpeg_natural_order2; break;
case (3*3): natural_order = jpeg_natural_order3; break;
case (4*4): natural_order = jpeg_natural_order4; break;
case (5*5): natural_order = jpeg_natural_order5; break;
case (6*6): natural_order = jpeg_natural_order6; break;
case (7*7): natural_order = jpeg_natural_order7; break;
default: natural_order = jpeg_natural_order; break;
default: natural_order = jpeg_natural_order;
}
for (i = 0; i < count; i++) {
@@ -784,7 +783,6 @@ examine_app0 (j_decompress_ptr cinfo, JOCTET FAR * data,
default:
TRACEMS2(cinfo, 1, JTRC_JFIF_EXTENSION,
GETJOCTET(data[5]), (int) totallen);
break;
}
} else {
/* Start of APP0 does not match "JFIF" or "JFXX", or too short */
@@ -858,7 +856,6 @@ get_interesting_appn (j_decompress_ptr cinfo)
default:
/* can't get here unless jpeg_save_markers chooses wrong processor */
ERREXIT1(cinfo, JERR_UNKNOWN_MARKER, cinfo->unread_marker);
break;
}
/* skip any remaining data -- could be lots */
@@ -964,7 +961,6 @@ save_marker (j_decompress_ptr cinfo)
default:
TRACEMS2(cinfo, 1, JTRC_MISC_MARKER, cinfo->unread_marker,
(int) (data_length + length));
break;
}
/* skip any remaining data -- could be lots */
@@ -1240,7 +1236,6 @@ read_markers (j_decompress_ptr cinfo)
* ought to change!
*/
ERREXIT1(cinfo, JERR_UNKNOWN_MARKER, cinfo->unread_marker);
break;
}
/* Successfully processed marker, so reset state variable */
cinfo->unread_marker = 0;
@@ -1416,9 +1411,8 @@ jinit_marker_reader (j_decompress_ptr cinfo)
int i;
/* Create subobject in permanent pool */
marker = (my_marker_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_PERMANENT,
SIZEOF(my_marker_reader));
marker = (my_marker_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_PERMANENT, SIZEOF(my_marker_reader));
cinfo->marker = &marker->pub;
/* Initialize public method pointers */
marker->pub.reset_marker_reader = reset_marker_reader;
+24 -23
View File
@@ -2,7 +2,7 @@
* jdmaster.c
*
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 2002-2017 by Guido Vollbeding.
* Modified 2002-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -104,7 +104,7 @@ jpeg_calc_output_dimensions (j_decompress_ptr cinfo)
*/
{
#ifdef IDCT_SCALING_SUPPORTED
int ci;
int ci, ssize;
jpeg_component_info *compptr;
#endif
@@ -124,19 +124,23 @@ jpeg_calc_output_dimensions (j_decompress_ptr cinfo)
*/
for (ci = 0, compptr = cinfo->comp_info; ci < cinfo->num_components;
ci++, compptr++) {
int ssize = 1;
while (cinfo->min_DCT_h_scaled_size * ssize <=
(cinfo->do_fancy_upsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_h_samp_factor % (compptr->h_samp_factor * ssize * 2)) == 0) {
ssize = ssize * 2;
}
ssize = 1;
if (! cinfo->raw_data_out)
while (cinfo->min_DCT_h_scaled_size * ssize <=
(cinfo->do_fancy_upsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_h_samp_factor % (compptr->h_samp_factor * ssize * 2)) ==
0) {
ssize = ssize * 2;
}
compptr->DCT_h_scaled_size = cinfo->min_DCT_h_scaled_size * ssize;
ssize = 1;
while (cinfo->min_DCT_v_scaled_size * ssize <=
(cinfo->do_fancy_upsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_v_samp_factor % (compptr->v_samp_factor * ssize * 2)) == 0) {
ssize = ssize * 2;
}
if (! cinfo->raw_data_out)
while (cinfo->min_DCT_v_scaled_size * ssize <=
(cinfo->do_fancy_upsampling ? DCTSIZE : DCTSIZE / 2) &&
(cinfo->max_v_samp_factor % (compptr->v_samp_factor * ssize * 2)) ==
0) {
ssize = ssize * 2;
}
compptr->DCT_v_scaled_size = cinfo->min_DCT_v_scaled_size * ssize;
/* We don't support IDCT ratios larger than 2. */
@@ -144,13 +148,10 @@ jpeg_calc_output_dimensions (j_decompress_ptr cinfo)
compptr->DCT_h_scaled_size = compptr->DCT_v_scaled_size * 2;
else if (compptr->DCT_v_scaled_size > compptr->DCT_h_scaled_size * 2)
compptr->DCT_v_scaled_size = compptr->DCT_h_scaled_size * 2;
}
/* Recompute downsampled dimensions of components;
* application needs to know these if using raw downsampled data.
*/
for (ci = 0, compptr = cinfo->comp_info; ci < cinfo->num_components;
ci++, compptr++) {
/* Recompute downsampled dimensions of components;
* application needs to know these if using raw downsampled data.
*/
/* Size in samples, after IDCT scaling */
compptr->downsampled_width = (JDIMENSION)
jdiv_round_up((long) cinfo->image_width *
@@ -172,8 +173,10 @@ jpeg_calc_output_dimensions (j_decompress_ptr cinfo)
break;
case JCS_RGB:
case JCS_BG_RGB:
#if RGB_PIXELSIZE != 3
cinfo->out_color_components = RGB_PIXELSIZE;
break;
#endif /* else share code with YCbCr */
case JCS_YCbCr:
case JCS_BG_YCC:
cinfo->out_color_components = 3;
@@ -184,7 +187,6 @@ jpeg_calc_output_dimensions (j_decompress_ptr cinfo)
break;
default: /* else must be same colorspace as in file */
cinfo->out_color_components = cinfo->num_components;
break;
}
cinfo->output_components = (cinfo->quantize_colors ? 1 :
cinfo->out_color_components);
@@ -525,9 +527,8 @@ jinit_master_decompress (j_decompress_ptr cinfo)
{
my_master_ptr master;
master = (my_master_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(my_decomp_master));
master = (my_master_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(my_decomp_master));
cinfo->master = &master->pub;
master->pub.prepare_for_output_pass = prepare_for_output_pass;
master->pub.finish_output_pass = finish_output_pass;
+26 -39
View File
@@ -2,7 +2,7 @@
* jdmerge.c
*
* Copyright (C) 1994-1996, Thomas G. Lane.
* Modified 2013-2017 by Guido Vollbeding.
* Modified 2013-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -95,28 +95,22 @@ build_ycc_rgb_table (j_decompress_ptr cinfo)
INT32 x;
SHIFT_TEMPS
upsample->Cr_r_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cb_b_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cr_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
upsample->Cb_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
upsample->Cr_r_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cb_b_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cr_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
upsample->Cb_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
for (i = 0, x = -CENTERJSAMPLE; i <= MAXJSAMPLE; i++, x++) {
/* i is the actual input pixel value, in the range 0..MAXJSAMPLE */
/* The Cb or Cr value we are thinking of is x = i - CENTERJSAMPLE */
/* Cr=>R value is nearest int to 1.402 * x */
upsample->Cr_r_tab[i] = (int)
RIGHT_SHIFT(FIX(1.402) * x + ONE_HALF, SCALEBITS);
upsample->Cr_r_tab[i] = (int) DESCALE(FIX(1.402) * x, SCALEBITS);
/* Cb=>B value is nearest int to 1.772 * x */
upsample->Cb_b_tab[i] = (int)
RIGHT_SHIFT(FIX(1.772) * x + ONE_HALF, SCALEBITS);
upsample->Cb_b_tab[i] = (int) DESCALE(FIX(1.772) * x, SCALEBITS);
/* Cr=>G value is scaled-up -0.714136286 * x */
upsample->Cr_g_tab[i] = (- FIX(0.714136286)) * x;
/* Cb=>G value is scaled-up -0.344136286 * x */
@@ -135,28 +129,22 @@ build_bg_ycc_rgb_table (j_decompress_ptr cinfo)
INT32 x;
SHIFT_TEMPS
upsample->Cr_r_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cb_b_tab = (int *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cr_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
upsample->Cb_g_tab = (INT32 *)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(MAXJSAMPLE+1) * SIZEOF(INT32));
upsample->Cr_r_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cb_b_tab = (int *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(int));
upsample->Cr_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
upsample->Cb_g_tab = (INT32 *) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, (MAXJSAMPLE+1) * SIZEOF(INT32));
for (i = 0, x = -CENTERJSAMPLE; i <= MAXJSAMPLE; i++, x++) {
/* i is the actual input pixel value, in the range 0..MAXJSAMPLE */
/* The Cb or Cr value we are thinking of is x = i - CENTERJSAMPLE */
/* Cr=>R value is nearest int to 2.804 * x */
upsample->Cr_r_tab[i] = (int)
RIGHT_SHIFT(FIX(2.804) * x + ONE_HALF, SCALEBITS);
upsample->Cr_r_tab[i] = (int) DESCALE(FIX(2.804) * x, SCALEBITS);
/* Cb=>B value is nearest int to 3.544 * x */
upsample->Cb_b_tab[i] = (int)
RIGHT_SHIFT(FIX(3.544) * x + ONE_HALF, SCALEBITS);
upsample->Cb_b_tab[i] = (int) DESCALE(FIX(3.544) * x, SCALEBITS);
/* Cr=>G value is scaled-up -1.428272572 * x */
upsample->Cr_g_tab[i] = (- FIX(1.428272572)) * x;
/* Cb=>G value is scaled-up -0.688272572 * x */
@@ -419,9 +407,8 @@ jinit_merged_upsampler (j_decompress_ptr cinfo)
{
my_upsample_ptr upsample;
upsample = (my_upsample_ptr)
(*cinfo->mem->alloc_small) ((j_common_ptr) cinfo, JPOOL_IMAGE,
SIZEOF(my_upsampler));
upsample = (my_upsample_ptr) (*cinfo->mem->alloc_small)
((j_common_ptr) cinfo, JPOOL_IMAGE, SIZEOF(my_upsampler));
cinfo->upsample = &upsample->pub;
upsample->pub.start_pass = start_pass_merged_upsample;
upsample->pub.need_context_rows = FALSE;
@@ -432,9 +419,9 @@ jinit_merged_upsampler (j_decompress_ptr cinfo)
upsample->pub.upsample = merged_2v_upsample;
upsample->upmethod = h2v2_merged_upsample;
/* Allocate a spare row buffer */
upsample->spare_row = (JSAMPROW)
(*cinfo->mem->alloc_large) ((j_common_ptr) cinfo, JPOOL_IMAGE,
(size_t) (upsample->out_row_width * SIZEOF(JSAMPLE)));
upsample->spare_row = (JSAMPROW) (*cinfo->mem->alloc_large)
((j_common_ptr) cinfo, JPOOL_IMAGE,
(size_t) upsample->out_row_width * SIZEOF(JSAMPLE));
} else {
upsample->pub.upsample = merged_1v_upsample;
upsample->upmethod = h2v1_merged_upsample;
+2 -2
View File
@@ -2,7 +2,7 @@
* jerror.h
*
* Copyright (C) 1994-1997, Thomas G. Lane.
* Modified 1997-2012 by Guido Vollbeding.
* Modified 1997-2018 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -84,7 +84,7 @@ JMESSAGE(JERR_EOI_EXPECTED, "Didn't expect more than one scan")
JMESSAGE(JERR_FILE_READ, "Input file read error")
JMESSAGE(JERR_FILE_WRITE, "Output file write error --- out of disk space?")
JMESSAGE(JERR_FRACT_SAMPLE_NOTIMPL, "Fractional sampling not implemented yet")
JMESSAGE(JERR_HUFF_CLEN_OVERFLOW, "Huffman code size table overflow")
JMESSAGE(JERR_HUFF_CLEN_OUTOFBOUNDS, "Huffman code size table out of bounds")
JMESSAGE(JERR_HUFF_MISSING_CODE, "Missing Huffman code table entry")
JMESSAGE(JERR_IMAGE_TOO_BIG, "Maximum supported image dimension is %u pixels")
JMESSAGE(JERR_INPUT_EMPTY, "Empty input file")
+61 -55
View File
@@ -2,7 +2,7 @@
* jfdctint.c
*
* Copyright (C) 1991-1996, Thomas G. Lane.
* Modification developed 2003-2015 by Guido Vollbeding.
* Modification developed 2003-2018 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -3261,78 +3261,84 @@ jpeg_fdct_6x3 (DCTELEM * data, JSAMPARRAY sample_data, JDIMENSION start_col)
GLOBAL(void)
jpeg_fdct_4x2 (DCTELEM * data, JSAMPARRAY sample_data, JDIMENSION start_col)
{
INT32 tmp0, tmp1;
INT32 tmp10, tmp11;
DCTELEM *dataptr;
DCTELEM tmp0, tmp2, tmp10, tmp12, tmp4, tmp5;
INT32 tmp1, tmp3, tmp11, tmp13;
INT32 z1, z2, z3;
JSAMPROW elemptr;
int ctr;
SHIFT_TEMPS
/* Pre-zero output coefficient block. */
MEMZERO(data, SIZEOF(DCTELEM) * DCTSIZE2);
/* Pass 1: process rows.
* Note results are scaled up by sqrt(8) compared to a true DCT;
* furthermore, we scale the results by 2**PASS1_BITS.
* We must also scale the output by (8/4)*(8/2) = 2**3, which we add here.
* Note results are scaled up by sqrt(8) compared to a true DCT.
* 4-point FDCT kernel,
* cK represents sqrt(2) * cos(K*pi/16) [refers to 8-point FDCT].
*/
dataptr = data;
for (ctr = 0; ctr < 2; ctr++) {
elemptr = sample_data[ctr] + start_col;
/* Row 0 */
elemptr = sample_data[0] + start_col;
/* Even part */
/* Even part */
tmp0 = GETJSAMPLE(elemptr[0]) + GETJSAMPLE(elemptr[3]);
tmp1 = GETJSAMPLE(elemptr[1]) + GETJSAMPLE(elemptr[2]);
tmp4 = GETJSAMPLE(elemptr[0]) + GETJSAMPLE(elemptr[3]);
tmp5 = GETJSAMPLE(elemptr[1]) + GETJSAMPLE(elemptr[2]);
tmp10 = GETJSAMPLE(elemptr[0]) - GETJSAMPLE(elemptr[3]);
tmp11 = GETJSAMPLE(elemptr[1]) - GETJSAMPLE(elemptr[2]);
tmp0 = tmp4 + tmp5;
tmp2 = tmp4 - tmp5;
/* Apply unsigned->signed conversion. */
dataptr[0] = (DCTELEM)
((tmp0 + tmp1 - 4 * CENTERJSAMPLE) << (PASS1_BITS+3));
dataptr[2] = (DCTELEM) ((tmp0 - tmp1) << (PASS1_BITS+3));
/* Odd part */
/* Odd part */
z2 = GETJSAMPLE(elemptr[0]) - GETJSAMPLE(elemptr[3]);
z3 = GETJSAMPLE(elemptr[1]) - GETJSAMPLE(elemptr[2]);
tmp0 = MULTIPLY(tmp10 + tmp11, FIX_0_541196100); /* c6 */
/* Add fudge factor here for final descale. */
tmp0 += ONE << (CONST_BITS-PASS1_BITS-4);
z1 = MULTIPLY(z2 + z3, FIX_0_541196100); /* c6 */
/* Add fudge factor here for final descale. */
z1 += ONE << (CONST_BITS-3-1);
tmp1 = z1 + MULTIPLY(z2, FIX_0_765366865); /* c2-c6 */
tmp3 = z1 - MULTIPLY(z3, FIX_1_847759065); /* c2+c6 */
dataptr[1] = (DCTELEM)
RIGHT_SHIFT(tmp0 + MULTIPLY(tmp10, FIX_0_765366865), /* c2-c6 */
CONST_BITS-PASS1_BITS-3);
dataptr[3] = (DCTELEM)
RIGHT_SHIFT(tmp0 - MULTIPLY(tmp11, FIX_1_847759065), /* c2+c6 */
CONST_BITS-PASS1_BITS-3);
/* Row 1 */
elemptr = sample_data[1] + start_col;
dataptr += DCTSIZE; /* advance pointer to next row */
}
/* Even part */
tmp4 = GETJSAMPLE(elemptr[0]) + GETJSAMPLE(elemptr[3]);
tmp5 = GETJSAMPLE(elemptr[1]) + GETJSAMPLE(elemptr[2]);
tmp10 = tmp4 + tmp5;
tmp12 = tmp4 - tmp5;
/* Odd part */
z2 = GETJSAMPLE(elemptr[0]) - GETJSAMPLE(elemptr[3]);
z3 = GETJSAMPLE(elemptr[1]) - GETJSAMPLE(elemptr[2]);
z1 = MULTIPLY(z2 + z3, FIX_0_541196100); /* c6 */
tmp11 = z1 + MULTIPLY(z2, FIX_0_765366865); /* c2-c6 */
tmp13 = z1 - MULTIPLY(z3, FIX_1_847759065); /* c2+c6 */
/* Pass 2: process columns.
* We remove the PASS1_BITS scaling, but leave the results scaled up
* by an overall factor of 8.
* We leave the results scaled up by an overall factor of 8.
* We must also scale the output by (8/4)*(8/2) = 2**3.
*/
dataptr = data;
for (ctr = 0; ctr < 4; ctr++) {
/* Even part */
/* Column 0 */
/* Apply unsigned->signed conversion. */
data[DCTSIZE*0] = (tmp0 + tmp10 - 8 * CENTERJSAMPLE) << 3;
data[DCTSIZE*1] = (tmp0 - tmp10) << 3;
/* Add fudge factor here for final descale. */
tmp0 = dataptr[DCTSIZE*0] + (ONE << (PASS1_BITS-1));
tmp1 = dataptr[DCTSIZE*1];
/* Column 1 */
data[DCTSIZE*0+1] = (DCTELEM) RIGHT_SHIFT(tmp1 + tmp11, CONST_BITS-3);
data[DCTSIZE*1+1] = (DCTELEM) RIGHT_SHIFT(tmp1 - tmp11, CONST_BITS-3);
dataptr[DCTSIZE*0] = (DCTELEM) RIGHT_SHIFT(tmp0 + tmp1, PASS1_BITS);
/* Column 2 */
data[DCTSIZE*0+2] = (tmp2 + tmp12) << 3;
data[DCTSIZE*1+2] = (tmp2 - tmp12) << 3;
/* Odd part */
dataptr[DCTSIZE*1] = (DCTELEM) RIGHT_SHIFT(tmp0 - tmp1, PASS1_BITS);
dataptr++; /* advance pointer to next column */
}
/* Column 3 */
data[DCTSIZE*0+3] = (DCTELEM) RIGHT_SHIFT(tmp3 + tmp13, CONST_BITS-3);
data[DCTSIZE*1+3] = (DCTELEM) RIGHT_SHIFT(tmp3 - tmp13, CONST_BITS-3);
}
@@ -4312,7 +4318,6 @@ jpeg_fdct_2x4 (DCTELEM * data, JSAMPARRAY sample_data, JDIMENSION start_col)
/* Pass 1: process rows.
* Note results are scaled up by sqrt(8) compared to a true DCT.
* We must also scale the output by (8/2)*(8/4) = 2**3, which we add here.
*/
dataptr = data;
@@ -4325,17 +4330,18 @@ jpeg_fdct_2x4 (DCTELEM * data, JSAMPARRAY sample_data, JDIMENSION start_col)
tmp1 = GETJSAMPLE(elemptr[1]);
/* Apply unsigned->signed conversion. */
dataptr[0] = (DCTELEM) ((tmp0 + tmp1 - 2 * CENTERJSAMPLE) << 3);
dataptr[0] = (DCTELEM) (tmp0 + tmp1 - 2 * CENTERJSAMPLE);
/* Odd part */
dataptr[1] = (DCTELEM) ((tmp0 - tmp1) << 3);
dataptr[1] = (DCTELEM) (tmp0 - tmp1);
dataptr += DCTSIZE; /* advance pointer to next row */
}
/* Pass 2: process columns.
* We leave the results scaled up by an overall factor of 8.
* We must also scale the output by (8/2)*(8/4) = 2**3.
* 4-point FDCT kernel,
* cK represents sqrt(2) * cos(K*pi/16) [refers to 8-point FDCT].
*/
@@ -4350,21 +4356,21 @@ jpeg_fdct_2x4 (DCTELEM * data, JSAMPARRAY sample_data, JDIMENSION start_col)
tmp10 = dataptr[DCTSIZE*0] - dataptr[DCTSIZE*3];
tmp11 = dataptr[DCTSIZE*1] - dataptr[DCTSIZE*2];
dataptr[DCTSIZE*0] = (DCTELEM) (tmp0 + tmp1);
dataptr[DCTSIZE*2] = (DCTELEM) (tmp0 - tmp1);
dataptr[DCTSIZE*0] = (DCTELEM) ((tmp0 + tmp1) << 3);
dataptr[DCTSIZE*2] = (DCTELEM) ((tmp0 - tmp1) << 3);
/* Odd part */
tmp0 = MULTIPLY(tmp10 + tmp11, FIX_0_541196100); /* c6 */
/* Add fudge factor here for final descale. */
tmp0 += ONE << (CONST_BITS-1);
tmp0 += ONE << (CONST_BITS-3-1);
dataptr[DCTSIZE*1] = (DCTELEM)
RIGHT_SHIFT(tmp0 + MULTIPLY(tmp10, FIX_0_765366865), /* c2-c6 */
CONST_BITS);
CONST_BITS-3);
dataptr[DCTSIZE*3] = (DCTELEM)
RIGHT_SHIFT(tmp0 - MULTIPLY(tmp11, FIX_1_847759065), /* c2+c6 */
CONST_BITS);
CONST_BITS-3);
dataptr++; /* advance pointer to next column */
}
+6 -6
View File
@@ -2,7 +2,7 @@
* jidctint.c
*
* Copyright (C) 1991-1998, Thomas G. Lane.
* Modification developed 2002-2016 by Guido Vollbeding.
* Modification developed 2002-2018 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -1474,7 +1474,7 @@ jpeg_idct_10x10 (j_decompress_ptr cinfo, jpeg_component_info * compptr,
/*
* Perform dequantization and inverse DCT on one block of coefficients,
* producing a 11x11 output block.
* producing an 11x11 output block.
*
* Optimized algorithm with 24 multiplications in the 1-D kernel.
* cK represents sqrt(2) * cos(K*pi/22).
@@ -3675,7 +3675,7 @@ jpeg_idct_10x5 (j_decompress_ptr cinfo, jpeg_component_info * compptr,
/*
* Perform dequantization and inverse DCT on one block of coefficients,
* producing a 8x4 output block.
* producing an 8x4 output block.
*
* 4-point IDCT in pass 1 (columns), 8-point in pass 2 (rows).
*/
@@ -3835,7 +3835,7 @@ jpeg_idct_8x4 (j_decompress_ptr cinfo, jpeg_component_info * compptr,
/*
* Perform dequantization and inverse DCT on one block of coefficients,
* producing a reduced-size 6x3 output block.
* producing a 6x3 output block.
*
* 3-point IDCT in pass 1 (columns), 6-point in pass 2 (rows).
*/
@@ -4082,7 +4082,7 @@ jpeg_idct_2x1 (j_decompress_ptr cinfo, jpeg_component_info * compptr,
/*
* Perform dequantization and inverse DCT on one block of coefficients,
* producing a 8x16 output block.
* producing an 8x16 output block.
*
* 16-point IDCT in pass 1 (columns), 8-point in pass 2 (rows).
*/
@@ -5004,7 +5004,7 @@ jpeg_idct_4x8 (j_decompress_ptr cinfo, jpeg_component_info * compptr,
/*
* Perform dequantization and inverse DCT on one block of coefficients,
* producing a reduced-size 3x6 output block.
* producing a 3x6 output block.
*
* 6-point IDCT in pass 1 (columns), 3-point in pass 2 (rows).
*/
+28 -32
View File
@@ -2,7 +2,7 @@
* jmemmgr.c
*
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 2011-2012 by Guido Vollbeding.
* Modified 2011-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -130,7 +130,7 @@ typedef struct {
jvirt_barray_ptr virt_barray_list;
/* This counts total space obtained from jpeg_get_small/large */
long total_space_allocated;
size_t total_space_allocated;
/* alloc_sarray and alloc_barray set this value for use by virtual
* array routines.
@@ -195,7 +195,7 @@ print_mem_stats (j_common_ptr cinfo, int pool_id)
* This is helpful because message parm array can't handle longs.
*/
fprintf(stderr, "Freeing pool %d, total space = %ld\n",
pool_id, mem->total_space_allocated);
pool_id, (long) mem->total_space_allocated);
for (lhdr_ptr = mem->large_list[pool_id]; lhdr_ptr != NULL;
lhdr_ptr = lhdr_ptr->hdr.next) {
@@ -260,11 +260,11 @@ alloc_small (j_common_ptr cinfo, int pool_id, size_t sizeofobject)
{
my_mem_ptr mem = (my_mem_ptr) cinfo->mem;
small_pool_ptr hdr_ptr, prev_hdr_ptr;
char * data_ptr;
size_t odd_bytes, min_request, slop;
char * data_ptr;
/* Check for unsatisfiable request (do now to ensure no overflow below) */
if (sizeofobject > (size_t) (MAX_ALLOC_CHUNK-SIZEOF(small_pool_hdr)))
if (sizeofobject > (size_t) MAX_ALLOC_CHUNK - SIZEOF(small_pool_hdr))
out_of_memory(cinfo, 1); /* request exceeds malloc's ability */
/* Round up the requested size to a multiple of SIZEOF(ALIGN_TYPE) */
@@ -293,8 +293,8 @@ alloc_small (j_common_ptr cinfo, int pool_id, size_t sizeofobject)
else
slop = extra_pool_slop[pool_id];
/* Don't ask for more than MAX_ALLOC_CHUNK */
if (slop > (size_t) (MAX_ALLOC_CHUNK-min_request))
slop = (size_t) (MAX_ALLOC_CHUNK-min_request);
if (slop > (size_t) MAX_ALLOC_CHUNK - min_request)
slop = (size_t) MAX_ALLOC_CHUNK - min_request;
/* Try to get space, if fail reduce slop and try again */
for (;;) {
hdr_ptr = (small_pool_ptr) jpeg_get_small(cinfo, min_request + slop);
@@ -348,7 +348,7 @@ alloc_large (j_common_ptr cinfo, int pool_id, size_t sizeofobject)
size_t odd_bytes;
/* Check for unsatisfiable request (do now to ensure no overflow below) */
if (sizeofobject > (size_t) (MAX_ALLOC_CHUNK-SIZEOF(large_pool_hdr)))
if (sizeofobject > (size_t) MAX_ALLOC_CHUNK - SIZEOF(large_pool_hdr))
out_of_memory(cinfo, 3); /* request exceeds malloc's ability */
/* Round up the requested size to a multiple of SIZEOF(ALIGN_TYPE) */
@@ -404,7 +404,7 @@ alloc_sarray (j_common_ptr cinfo, int pool_id,
long ltemp;
/* Calculate max # of rows allowed in one allocation chunk */
ltemp = (MAX_ALLOC_CHUNK-SIZEOF(large_pool_hdr)) /
ltemp = (MAX_ALLOC_CHUNK - SIZEOF(large_pool_hdr)) /
((long) samplesperrow * SIZEOF(JSAMPLE));
if (ltemp <= 0)
ERREXIT(cinfo, JERR_WIDTH_OVERFLOW);
@@ -416,15 +416,14 @@ alloc_sarray (j_common_ptr cinfo, int pool_id,
/* Get space for row pointers (small object) */
result = (JSAMPARRAY) alloc_small(cinfo, pool_id,
(size_t) (numrows * SIZEOF(JSAMPROW)));
(size_t) numrows * SIZEOF(JSAMPROW));
/* Get the rows themselves (large objects) */
currow = 0;
while (currow < numrows) {
rowsperchunk = MIN(rowsperchunk, numrows - currow);
workspace = (JSAMPROW) alloc_large(cinfo, pool_id,
(size_t) ((size_t) rowsperchunk * (size_t) samplesperrow
* SIZEOF(JSAMPLE)));
(size_t) rowsperchunk * (size_t) samplesperrow * SIZEOF(JSAMPLE));
for (i = rowsperchunk; i > 0; i--) {
result[currow++] = workspace;
workspace += samplesperrow;
@@ -452,7 +451,7 @@ alloc_barray (j_common_ptr cinfo, int pool_id,
long ltemp;
/* Calculate max # of rows allowed in one allocation chunk */
ltemp = (MAX_ALLOC_CHUNK-SIZEOF(large_pool_hdr)) /
ltemp = (MAX_ALLOC_CHUNK - SIZEOF(large_pool_hdr)) /
((long) blocksperrow * SIZEOF(JBLOCK));
if (ltemp <= 0)
ERREXIT(cinfo, JERR_WIDTH_OVERFLOW);
@@ -464,15 +463,14 @@ alloc_barray (j_common_ptr cinfo, int pool_id,
/* Get space for row pointers (small object) */
result = (JBLOCKARRAY) alloc_small(cinfo, pool_id,
(size_t) (numrows * SIZEOF(JBLOCKROW)));
(size_t) numrows * SIZEOF(JBLOCKROW));
/* Get the rows themselves (large objects) */
currow = 0;
while (currow < numrows) {
rowsperchunk = MIN(rowsperchunk, numrows - currow);
workspace = (JBLOCKROW) alloc_large(cinfo, pool_id,
(size_t) ((size_t) rowsperchunk * (size_t) blocksperrow
* SIZEOF(JBLOCK)));
(size_t) rowsperchunk * (size_t) blocksperrow * SIZEOF(JBLOCK));
for (i = rowsperchunk; i > 0; i--) {
result[currow++] = workspace;
workspace += blocksperrow;
@@ -585,8 +583,8 @@ realize_virt_arrays (j_common_ptr cinfo)
/* Allocate the in-memory buffers for any unrealized virtual arrays */
{
my_mem_ptr mem = (my_mem_ptr) cinfo->mem;
long space_per_minheight, maximum_space, avail_mem;
long minheights, max_minheights;
long bytesperrow, space_per_minheight, maximum_space;
long avail_mem, minheights, max_minheights;
jvirt_sarray_ptr sptr;
jvirt_barray_ptr bptr;
@@ -598,18 +596,16 @@ realize_virt_arrays (j_common_ptr cinfo)
maximum_space = 0;
for (sptr = mem->virt_sarray_list; sptr != NULL; sptr = sptr->next) {
if (sptr->mem_buffer == NULL) { /* if not realized yet */
space_per_minheight += (long) sptr->maxaccess *
(long) sptr->samplesperrow * SIZEOF(JSAMPLE);
maximum_space += (long) sptr->rows_in_array *
(long) sptr->samplesperrow * SIZEOF(JSAMPLE);
bytesperrow = (long) sptr->samplesperrow * SIZEOF(JSAMPLE);
space_per_minheight += (long) sptr->maxaccess * bytesperrow;
maximum_space += (long) sptr->rows_in_array * bytesperrow;
}
}
for (bptr = mem->virt_barray_list; bptr != NULL; bptr = bptr->next) {
if (bptr->mem_buffer == NULL) { /* if not realized yet */
space_per_minheight += (long) bptr->maxaccess *
(long) bptr->blocksperrow * SIZEOF(JBLOCK);
maximum_space += (long) bptr->rows_in_array *
(long) bptr->blocksperrow * SIZEOF(JBLOCK);
bytesperrow = (long) bptr->blocksperrow * SIZEOF(JBLOCK);
space_per_minheight += (long) bptr->maxaccess * bytesperrow;
maximum_space += (long) bptr->rows_in_array * bytesperrow;
}
}
@@ -618,7 +614,7 @@ realize_virt_arrays (j_common_ptr cinfo)
/* Determine amount of memory to actually use; this is system-dependent. */
avail_mem = jpeg_mem_available(cinfo, space_per_minheight, maximum_space,
mem->total_space_allocated);
(long) mem->total_space_allocated);
/* If the maximum space needed is available, make all the buffers full
* height; otherwise parcel it out with the same number of minheights
@@ -694,7 +690,7 @@ do_sarray_io (j_common_ptr cinfo, jvirt_sarray_ptr ptr, boolean writing)
long bytesperrow, file_offset, byte_count, rows, thisrow, i;
bytesperrow = (long) ptr->samplesperrow * SIZEOF(JSAMPLE);
file_offset = ptr->cur_start_row * bytesperrow;
file_offset = (long) ptr->cur_start_row * bytesperrow;
/* Loop to read or write each allocation chunk in mem_buffer */
for (i = 0; i < (long) ptr->rows_in_mem; i += ptr->rowsperchunk) {
/* One chunk, but check for short chunk at end of buffer */
@@ -727,7 +723,7 @@ do_barray_io (j_common_ptr cinfo, jvirt_barray_ptr ptr, boolean writing)
long bytesperrow, file_offset, byte_count, rows, thisrow, i;
bytesperrow = (long) ptr->blocksperrow * SIZEOF(JBLOCK);
file_offset = ptr->cur_start_row * bytesperrow;
file_offset = (long) ptr->cur_start_row * bytesperrow;
/* Loop to read or write each allocation chunk in mem_buffer */
for (i = 0; i < (long) ptr->rows_in_mem; i += ptr->rowsperchunk) {
/* One chunk, but check for short chunk at end of buffer */
@@ -771,7 +767,7 @@ access_virt_sarray (j_common_ptr cinfo, jvirt_sarray_ptr ptr,
/* Make the desired part of the virtual array accessible */
if (start_row < ptr->cur_start_row ||
end_row > ptr->cur_start_row+ptr->rows_in_mem) {
end_row > ptr->cur_start_row + ptr->rows_in_mem) {
if (! ptr->b_s_open)
ERREXIT(cinfo, JERR_VIRTUAL_BUG);
/* Flush old buffer contents if necessary */
@@ -856,7 +852,7 @@ access_virt_barray (j_common_ptr cinfo, jvirt_barray_ptr ptr,
/* Make the desired part of the virtual array accessible */
if (start_row < ptr->cur_start_row ||
end_row > ptr->cur_start_row+ptr->rows_in_mem) {
end_row > ptr->cur_start_row + ptr->rows_in_mem) {
if (! ptr->b_s_open)
ERREXIT(cinfo, JERR_VIRTUAL_BUG);
/* Flush old buffer contents if necessary */
@@ -1093,7 +1089,7 @@ jinit_memory_mgr (j_common_ptr cinfo)
mem->total_space_allocated = SIZEOF(my_memory_mgr);
/* Declare ourselves open for business */
cinfo->mem = & mem->pub;
cinfo->mem = &mem->pub;
/* Check for an environment variable JPEGMEM; if found, override the
* default max_memory setting from jpeg_mem_init. Note that the
+6 -2
View File
@@ -2,6 +2,7 @@
* jmemnobs.c
*
* Copyright (C) 1992-1996, Thomas G. Lane.
* Modified 2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -12,7 +13,7 @@
* This is very portable in the sense that it'll compile on almost anything,
* but you'd better have lots of main memory (or virtual memory) if you want
* to process big images.
* Note that the max_memory_to_use option is ignored by this implementation.
* Note that the max_memory_to_use option is respected by this implementation.
*/
#define JPEG_INTERNALS
@@ -66,13 +67,16 @@ jpeg_free_large (j_common_ptr cinfo, void FAR * object, size_t sizeofobject)
/*
* This routine computes the total memory space available for allocation.
* Here we always say, "we got all you want bud!"
*/
GLOBAL(long)
jpeg_mem_available (j_common_ptr cinfo, long min_bytes_needed,
long max_bytes_needed, long already_allocated)
{
if (cinfo->mem->max_memory_to_use)
return cinfo->mem->max_memory_to_use - already_allocated;
/* Here we say, "we got all you want bud!" */
return max_bytes_needed;
}
+8 -1
View File
@@ -2,7 +2,7 @@
* jpegint.h
*
* Copyright (C) 1991-1997, Thomas G. Lane.
* Modified 1997-2017 by Guido Vollbeding.
* Modified 1997-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -302,6 +302,13 @@ struct jpeg_color_quantizer {
#define RIGHT_SHIFT(x,shft) ((x) >> (shft))
#endif
/* Descale and correctly round an INT32 value that's scaled by N bits.
* We assume RIGHT_SHIFT rounds towards minus infinity, so adding
* the fudge factor is correct for either sign of X.
*/
#define DESCALE(x,n) RIGHT_SHIFT((x) + ((INT32) 1 << ((n)-1)), n)
/* Short forms of external names for systems with brain-damaged linkers. */
+7 -4
View File
@@ -2,7 +2,7 @@
* jpeglib.h
*
* Copyright (C) 1991-1998, Thomas G. Lane.
* Modified 2002-2017 by Guido Vollbeding.
* Modified 2002-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -39,7 +39,7 @@ extern "C" {
#define JPEG_LIB_VERSION 90 /* Compatibility version 9.0 */
#define JPEG_LIB_VERSION_MAJOR 9
#define JPEG_LIB_VERSION_MINOR 3
#define JPEG_LIB_VERSION_MINOR 4
/* Various constants determining the sizes of things.
@@ -909,6 +909,7 @@ typedef JMETHOD(boolean, jpeg_marker_parser_method, (j_decompress_ptr cinfo));
#define jpeg_suppress_tables jSuppressTables
#define jpeg_alloc_quant_table jAlcQTable
#define jpeg_alloc_huff_table jAlcHTable
#define jpeg_std_huff_table jStdHTable
#define jpeg_start_compress jStrtCompress
#define jpeg_write_scanlines jWrtScanlines
#define jpeg_finish_compress jFinCompress
@@ -977,10 +978,10 @@ EXTERN(void) jpeg_stdio_src JPP((j_decompress_ptr cinfo, FILE * infile));
/* Data source and destination managers: memory buffers. */
EXTERN(void) jpeg_mem_dest JPP((j_compress_ptr cinfo,
unsigned char ** outbuffer,
unsigned long * outsize));
size_t * outsize));
EXTERN(void) jpeg_mem_src JPP((j_decompress_ptr cinfo,
const unsigned char * inbuffer,
unsigned long insize));
size_t insize));
/* Default parameter setup for compression */
EXTERN(void) jpeg_set_defaults JPP((j_compress_ptr cinfo));
@@ -1005,6 +1006,8 @@ EXTERN(void) jpeg_suppress_tables JPP((j_compress_ptr cinfo,
boolean suppress));
EXTERN(JQUANT_TBL *) jpeg_alloc_quant_table JPP((j_common_ptr cinfo));
EXTERN(JHUFF_TBL *) jpeg_alloc_huff_table JPP((j_common_ptr cinfo));
EXTERN(JHUFF_TBL *) jpeg_std_huff_table JPP((j_common_ptr cinfo,
boolean isDC, int tblno));
/* Main entry points for compression */
EXTERN(void) jpeg_start_compress JPP((j_compress_ptr cinfo,
+3 -3
View File
@@ -2,7 +2,7 @@
* jutils.c
*
* Copyright (C) 1991-1996, Thomas G. Lane.
* Modified 2009-2011 by Guido Vollbeding.
* Modified 2009-2019 by Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -185,7 +185,7 @@ jcopy_sample_rows (JSAMPARRAY input_array, int source_row,
{
register JSAMPROW inptr, outptr;
#ifdef FMEMCOPY
register size_t count = (size_t) (num_cols * SIZEOF(JSAMPLE));
register size_t count = (size_t) num_cols * SIZEOF(JSAMPLE);
#else
register JDIMENSION count;
#endif
@@ -213,7 +213,7 @@ jcopy_block_row (JBLOCKROW input_row, JBLOCKROW output_row,
/* Copy a row of coefficient blocks from one place to another. */
{
#ifdef FMEMCOPY
FMEMCOPY(output_row, input_row, num_blocks * (DCTSIZE2 * SIZEOF(JCOEF)));
FMEMCOPY(output_row, input_row, (size_t) num_blocks * (DCTSIZE2 * SIZEOF(JCOEF)));
#else
register JCOEFPTR inptr, outptr;
register long count;
+3 -3
View File
@@ -1,7 +1,7 @@
/*
* jversion.h
*
* Copyright (C) 1991-2018, Thomas G. Lane, Guido Vollbeding.
* Copyright (C) 1991-2020, Thomas G. Lane, Guido Vollbeding.
* This file is part of the Independent JPEG Group's software.
* For conditions of distribution and use, see the accompanying README file.
*
@@ -9,6 +9,6 @@
*/
#define JVERSION "9c 14-Jan-2018"
#define JVERSION "9d 12-Jan-2020"
#define JCOPYRIGHT "Copyright (C) 2018, Thomas G. Lane, Guido Vollbeding"
#define JCOPYRIGHT "Copyright (C) 2020, Thomas G. Lane, Guido Vollbeding"
+3 -5
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@@ -22,7 +22,7 @@
# sqfu@openailab.com
#
SET(TENGINE_COMMIT_VERSION "2f3cd86217f3530c8e4a82f3ed5af14c7a4e3943")
SET(TENGINE_COMMIT_VERSION "8a4c58e0e05cd850f4bb0936a330edc86dc0e28c")
SET(OCV_TENGINE_DIR "${OpenCV_BINARY_DIR}/3rdparty/libtengine")
SET(OCV_TENGINE_SOURCE_PATH "${OCV_TENGINE_DIR}/Tengine-${TENGINE_COMMIT_VERSION}")
@@ -34,7 +34,7 @@ IF(EXISTS "${OCV_TENGINE_SOURCE_PATH}")
ELSE()
SET(OCV_TENGINE_FILENAME "${TENGINE_COMMIT_VERSION}.zip")#name2
SET(OCV_TENGINE_URL "https://github.com/OAID/Tengine/archive/") #url2
SET(tengine_md5sum 9124324b6e2b350012e46ae1db4bad7d) #md5sum2
SET(tengine_md5sum f51ca8f3963faeeff3f019a6f6edc206) #md5sum2
#MESSAGE(STATUS "**** TENGINE DOWNLOAD BEGIN ****")
ocv_download(FILENAME ${OCV_TENGINE_FILENAME}
@@ -69,7 +69,6 @@ if(BUILD_TENGINE)
elseif(${ANDROID_ABI} STREQUAL "arm64-v8a")
SET(CONFIG_ARCH_ARM64 ON)
endif()
SET(Tengine_LIB "tengine" CACHE INTERNAL "")
else()
# linux system
if(CMAKE_SYSTEM_PROCESSOR STREQUAL arm)
@@ -77,7 +76,6 @@ if(BUILD_TENGINE)
elseif(CMAKE_SYSTEM_PROCESSOR STREQUAL aarch64) ## AARCH64
SET(CONFIG_ARCH_ARM64 ON)
endif()
SET(Tengine_LIB "tengine" CACHE INTERNAL "")
endif()
SET(BUILT_IN_OPENCV ON) ## set for tengine compile discern .
@@ -86,6 +84,6 @@ if(BUILD_TENGINE)
add_subdirectory("${OCV_TENGINE_SOURCE_PATH}" "${OCV_TENGINE_DIR}/build")
else()
message(WARNING "TENGINE: Missing 'CMakeLists.txt' in source code package: ${OCV_TENGINE_SOURCE_PATH}")
SET(HAVE_TENGINE 1)
endif()
SET(Tengine_LIB "tengine" CACHE INTERNAL "")
endif()
+5
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@@ -463,6 +463,7 @@ OCV_OPTION(BUILD_JAVA "Enable Java support"
# OpenCV installation options
# ===================================================
OCV_OPTION(INSTALL_CREATE_DISTRIB "Change install rules to build the distribution package" OFF )
OCV_OPTION(INSTALL_BIN_EXAMPLES "Install prebuilt examples" WIN32 IF BUILD_EXAMPLES)
OCV_OPTION(INSTALL_C_EXAMPLES "Install C examples" OFF )
OCV_OPTION(INSTALL_PYTHON_EXAMPLES "Install Python examples" OFF )
OCV_OPTION(INSTALL_ANDROID_EXAMPLES "Install Android examples" OFF IF ANDROID )
@@ -1652,6 +1653,10 @@ if(ENABLE_CONFIG_VERIFICATION)
ocv_verify_config()
endif()
if(HAVE_CUDA AND COMMAND CUDA_BUILD_CLEAN_TARGET)
CUDA_BUILD_CLEAN_TARGET()
endif()
ocv_cmake_hook(POST_FINALIZE)
# ----------------------------------------------------------------------------
+3 -1
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@@ -189,7 +189,6 @@ if(CV_GCC OR CV_CLANG)
# Profiling?
if(ENABLE_PROFILING)
add_extra_compiler_option("-pg -g")
# turn off incompatible options
foreach(flags CMAKE_CXX_FLAGS CMAKE_C_FLAGS CMAKE_CXX_FLAGS_RELEASE CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG CMAKE_C_FLAGS_DEBUG
OPENCV_EXTRA_FLAGS_RELEASE OPENCV_EXTRA_FLAGS_DEBUG OPENCV_EXTRA_C_FLAGS OPENCV_EXTRA_CXX_FLAGS)
@@ -197,6 +196,9 @@ if(CV_GCC OR CV_CLANG)
string(REPLACE "-ffunction-sections" "" ${flags} "${${flags}}")
string(REPLACE "-fdata-sections" "" ${flags} "${${flags}}")
endforeach()
# -pg should be placed both in the linker and in the compiler settings
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -pg")
add_extra_compiler_option("-pg -g")
else()
if(MSVC)
# TODO: Clang/C2 is not supported
+206 -30
View File
@@ -1,13 +1,14 @@
if(WIN32 AND NOT MSVC)
if((WIN32 AND NOT MSVC) OR OPENCV_CMAKE_FORCE_CUDA)
message(STATUS "CUDA compilation is disabled (due to only Visual Studio compiler supported on your platform).")
return()
endif()
if(NOT UNIX AND CV_CLANG)
if((NOT UNIX AND CV_CLANG) OR OPENCV_CMAKE_FORCE_CUDA)
message(STATUS "CUDA compilation is disabled (due to Clang unsupported on your platform).")
return()
endif()
#set(OPENCV_CMAKE_CUDA_DEBUG 1)
if(((NOT CMAKE_VERSION VERSION_LESS "3.9.0") # requires https://gitlab.kitware.com/cmake/cmake/merge_requests/663
OR OPENCV_CUDA_FORCE_EXTERNAL_CMAKE_MODULE)
@@ -28,6 +29,11 @@ endif()
if(CUDA_FOUND)
set(HAVE_CUDA 1)
if(NOT CUDA_VERSION VERSION_LESS 11.0)
# CUDA 11.0 removes nppicom
ocv_list_filterout(CUDA_nppi_LIBRARY "nppicom")
ocv_list_filterout(CUDA_npp_LIBRARY "nppicom")
endif()
if(WITH_CUFFT)
set(HAVE_CUFFT 1)
@@ -38,11 +44,31 @@ if(CUDA_FOUND)
endif()
if(WITH_NVCUVID)
macro(ocv_cuda_SEARCH_NVCUVID_HEADER _filename _result)
# place header file under CUDA_TOOLKIT_TARGET_DIR or CUDA_TOOLKIT_ROOT_DIR
find_path(_header_result
${_filename}
PATHS "${CUDA_TOOLKIT_TARGET_DIR}" "${CUDA_TOOLKIT_ROOT_DIR}"
ENV CUDA_PATH
ENV CUDA_INC_PATH
PATH_SUFFIXES include
NO_DEFAULT_PATH
)
if("x${_header_result}" STREQUAL "x_header_result-NOTFOUND")
set(${_result} 0)
else()
set(${_result} 1)
endif()
unset(_header_result CACHE)
endmacro()
ocv_cuda_SEARCH_NVCUVID_HEADER("nvcuvid.h" HAVE_NVCUVID_HEADER)
ocv_cuda_SEARCH_NVCUVID_HEADER("dynlink_nvcuvid.h" HAVE_DYNLINK_NVCUVID_HEADER)
find_cuda_helper_libs(nvcuvid)
if(WIN32)
find_cuda_helper_libs(nvcuvenc)
endif()
if(CUDA_nvcuvid_LIBRARY)
if(CUDA_nvcuvid_LIBRARY AND (${HAVE_NVCUVID_HEADER} OR ${HAVE_DYNLINK_NVCUVID_HEADER}))
# make sure to have both header and library before enabling
set(HAVE_NVCUVID 1)
endif()
if(CUDA_nvcuvenc_LIBRARY)
@@ -52,13 +78,19 @@ if(CUDA_FOUND)
message(STATUS "CUDA detected: " ${CUDA_VERSION})
set(_generations "Fermi" "Kepler" "Maxwell" "Pascal" "Volta" "Turing")
OCV_OPTION(CUDA_ENABLE_DEPRECATED_GENERATION "Enable deprecated generations in the list" OFF)
set(_generations "Maxwell" "Pascal" "Volta" "Turing" "Ampere")
if(CUDA_ENABLE_DEPRECATED_GENERATION)
set(_generations "Fermi" "${_generations}")
set(_generations "Kepler" "${_generations}")
endif()
set(_arch_fermi "2.0")
set(_arch_kepler "3.0;3.5;3.7")
set(_arch_maxwell "5.0;5.2")
set(_arch_pascal "6.0;6.1")
set(_arch_volta "7.0")
set(_arch_turing "7.5")
set(_arch_ampere "8.0;8.6")
if(NOT CMAKE_CROSSCOMPILING)
list(APPEND _generations "Auto")
endif()
@@ -76,36 +108,100 @@ if(CUDA_FOUND)
unset(CUDA_ARCH_PTX CACHE)
endif()
if(OPENCV_CUDA_DETECTION_NVCC_FLAGS MATCHES "-ccbin")
# already specified by user
elseif(CUDA_HOST_COMPILER AND EXISTS "${CUDA_HOST_COMPILER}")
get_filename_component(c_compiler_realpath "${CMAKE_C_COMPILER}" REALPATH)
# C compiler doesn't work with --run option, forcing C++ compiler instead
if(CUDA_HOST_COMPILER STREQUAL c_compiler_realpath OR CUDA_HOST_COMPILER STREQUAL CMAKE_C_COMPILER)
if(DEFINED CMAKE_CXX_COMPILER)
get_filename_component(cxx_compiler_realpath "${CMAKE_CXX_COMPILER}" REALPATH)
LIST(APPEND OPENCV_CUDA_DETECTION_NVCC_FLAGS -ccbin "${cxx_compiler_realpath}")
else()
message(STATUS "CUDA: CMAKE_CXX_COMPILER is not available. You may need to specify CUDA_HOST_COMPILER.")
endif()
else()
LIST(APPEND OPENCV_CUDA_DETECTION_NVCC_FLAGS -ccbin "${CUDA_HOST_COMPILER}")
endif()
elseif(WIN32 AND CMAKE_LINKER) # Workaround for VS cl.exe not being in the env. path
get_filename_component(host_compiler_bindir ${CMAKE_LINKER} DIRECTORY)
LIST(APPEND OPENCV_CUDA_DETECTION_NVCC_FLAGS -ccbin "${host_compiler_bindir}")
else()
if(CUDA_HOST_COMPILER)
message(STATUS "CUDA: CUDA_HOST_COMPILER='${CUDA_HOST_COMPILER}' is not valid, autodetection may not work. Specify OPENCV_CUDA_DETECTION_NVCC_FLAGS with -ccbin option for fix that")
endif()
endif()
macro(ocv_filter_available_architecture result_list)
if(DEFINED CUDA_SUPPORTED_CC)
set(${result_list} "${CUDA_SUPPORTED_CC}")
set(__cache_key_check "${ARGN} : ${CUDA_NVCC_EXECUTABLE} ${OPENCV_CUDA_DETECTION_NVCC_FLAGS}")
if(DEFINED OPENCV_CACHE_CUDA_SUPPORTED_CC AND OPENCV_CACHE_CUDA_SUPPORTED_CC_check STREQUAL __cache_key_check)
set(${result_list} "${OPENCV_CACHE_CUDA_SUPPORTED_CC}")
else()
set(CC_LIST ${ARGN})
foreach(target_arch ${CC_LIST})
string(REPLACE "." "" target_arch_short ${target_arch})
string(REPLACE "." "" target_arch_short "${target_arch}")
set(NVCC_OPTION "-gencode;arch=compute_${target_arch_short},code=sm_${target_arch_short}")
execute_process( COMMAND "${CUDA_NVCC_EXECUTABLE}" ${NVCC_OPTION} "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu"
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE _nvcc_res OUTPUT_VARIABLE _nvcc_out
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
set(_cmd "${CUDA_NVCC_EXECUTABLE}" ${OPENCV_CUDA_DETECTION_NVCC_FLAGS} ${NVCC_OPTION} "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu" --compile)
execute_process(
COMMAND ${_cmd}
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE _nvcc_res
OUTPUT_VARIABLE _nvcc_out
ERROR_VARIABLE _nvcc_err
#ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE
)
if(OPENCV_CMAKE_CUDA_DEBUG)
message(WARNING "COMMAND: ${_cmd}")
message(STATUS "Result: ${_nvcc_res}")
message(STATUS "Out: ${_nvcc_out}")
message(STATUS "Err: ${_nvcc_err}")
endif()
if(_nvcc_res EQUAL 0)
set(${result_list} "${${result_list}} ${target_arch}")
LIST(APPEND ${result_list} "${target_arch}")
endif()
endforeach()
string(STRIP ${${result_list}} ${result_list})
set(CUDA_SUPPORTED_CC ${${result_list}} CACHE INTERNAL "List of supported compute capability")
string(STRIP "${${result_list}}" ${result_list})
if(" ${${result_list}}" STREQUAL " ")
message(WARNING "CUDA: Autodetection arch list is empty. Please enable OPENCV_CMAKE_CUDA_DEBUG=1 and check/specify OPENCV_CUDA_DETECTION_NVCC_FLAGS variable")
endif()
# cache detected values
set(OPENCV_CACHE_CUDA_SUPPORTED_CC ${${result_list}} CACHE INTERNAL "")
set(OPENCV_CACHE_CUDA_SUPPORTED_CC_check "${__cache_key_check}" CACHE INTERNAL "")
endif()
endmacro()
macro(ocv_detect_native_cuda_arch status output)
execute_process( COMMAND "${CUDA_NVCC_EXECUTABLE}" ${CUDA_NVCC_FLAGS} "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu" "--run"
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE ${status} OUTPUT_VARIABLE ${output}
ERROR_QUIET OUTPUT_STRIP_TRAILING_WHITESPACE)
endmacro()
set(OPENCV_CUDA_DETECT_ARCHS_COMMAND "${CUDA_NVCC_EXECUTABLE}" ${OPENCV_CUDA_DETECTION_NVCC_FLAGS} "${OpenCV_SOURCE_DIR}/cmake/checks/OpenCVDetectCudaArch.cu" "--run")
set(__cache_key_check "${OPENCV_CUDA_DETECT_ARCHS_COMMAND}")
if(DEFINED OPENCV_CACHE_CUDA_ACTIVE_CC AND OPENCV_CACHE_CUDA_ACTIVE_CC_check STREQUAL __cache_key_check)
set(${output} "${OPENCV_CACHE_CUDA_ACTIVE_CC}")
set(${status} 0)
else()
execute_process(
COMMAND ${OPENCV_CUDA_DETECT_ARCHS_COMMAND}
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/CMakeTmp/"
RESULT_VARIABLE ${status}
OUTPUT_VARIABLE _nvcc_out
ERROR_VARIABLE _nvcc_err
ERROR_QUIET
OUTPUT_STRIP_TRAILING_WHITESPACE
)
if(OPENCV_CMAKE_CUDA_DEBUG)
message(WARNING "COMMAND: ${OPENCV_CUDA_DETECT_ARCHS_COMMAND}")
message(STATUS "Result: ${${status}}")
message(STATUS "Out: ${_nvcc_out}")
message(STATUS "Err: ${_nvcc_err}")
endif()
string(REGEX REPLACE ".*\n" "" ${output} "${_nvcc_out}") #Strip leading warning messages, if any
macro(ocv_wipeout_deprecated _arch_bin_list)
string(REPLACE "2.1" "2.1(2.0)" ${_arch_bin_list} ${${_arch_bin_list}})
if(${status} EQUAL 0)
# cache detected values
set(OPENCV_CACHE_CUDA_ACTIVE_CC ${${output}} CACHE INTERNAL "")
set(OPENCV_CACHE_CUDA_ACTIVE_CC_check "${__cache_key_check}" CACHE INTERNAL "")
endif()
endif()
endmacro()
set(__cuda_arch_ptx "")
@@ -121,6 +217,8 @@ if(CUDA_FOUND)
set(__cuda_arch_bin ${_arch_volta})
elseif(CUDA_GENERATION STREQUAL "Turing")
set(__cuda_arch_bin ${_arch_turing})
elseif(CUDA_GENERATION STREQUAL "Ampere")
set(__cuda_arch_bin ${_arch_ampere})
elseif(CUDA_GENERATION STREQUAL "Auto")
ocv_detect_native_cuda_arch(_nvcc_res _nvcc_out)
if(NOT _nvcc_res EQUAL 0)
@@ -128,6 +226,9 @@ if(CUDA_FOUND)
else()
string(REGEX MATCHALL "[0-9]+\\.[0-9]" __cuda_arch_bin "${_nvcc_out}")
endif()
elseif(CUDA_ARCH_BIN)
message(STATUS "CUDA: Using CUDA_ARCH_BIN=${CUDA_ARCH_BIN}")
set(__cuda_arch_bin ${CUDA_ARCH_BIN})
endif()
if(NOT DEFINED __cuda_arch_bin)
@@ -135,10 +236,20 @@ if(CUDA_FOUND)
set(__cuda_arch_bin "3.2")
set(__cuda_arch_ptx "")
elseif(AARCH64)
ocv_detect_native_cuda_arch(_nvcc_res _nvcc_out)
if(NOT CMAKE_CROSSCOMPILING)
ocv_detect_native_cuda_arch(_nvcc_res _nvcc_out)
else()
set(_nvcc_res -1) # emulate error, see below
endif()
if(NOT _nvcc_res EQUAL 0)
message(STATUS "Automatic detection of CUDA generation failed. Going to build for all known architectures.")
set(__cuda_arch_bin "5.3 6.2 7.2")
# TX1 (5.3) TX2 (6.2) Xavier (7.2) V100 (7.0)
ocv_filter_available_architecture(__cuda_arch_bin
5.3
6.2
7.2
7.0
)
else()
set(__cuda_arch_bin "${_nvcc_out}")
endif()
@@ -151,10 +262,10 @@ if(CUDA_FOUND)
${_arch_pascal}
${_arch_volta}
${_arch_turing}
${_arch_ampere}
)
endif()
endif()
ocv_wipeout_deprecated(__cuda_arch_bin)
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 ${__cuda_arch_ptx} CACHE STRING "Specify 'virtual' PTX architectures to build PTX intermediate code for")
@@ -162,12 +273,14 @@ if(CUDA_FOUND)
string(REGEX REPLACE "\\." "" ARCH_BIN_NO_POINTS "${CUDA_ARCH_BIN}")
string(REGEX REPLACE "\\." "" ARCH_PTX_NO_POINTS "${CUDA_ARCH_PTX}")
# Ckeck if user specified 1.0 compute capability: we don't support it
string(REGEX MATCH "1.0" HAS_ARCH_10 "${CUDA_ARCH_BIN} ${CUDA_ARCH_PTX}")
set(CUDA_ARCH_BIN_OR_PTX_10 0)
if(NOT ${HAS_ARCH_10} STREQUAL "")
set(CUDA_ARCH_BIN_OR_PTX_10 1)
endif()
# Check if user specified 1.0/2.1 compute capability: we don't support it
macro(ocv_wipeout_deprecated_cc target_cc)
if(" ${CUDA_ARCH_BIN} ${CUDA_ARCH_PTX}" MATCHES " ${target_cc}")
message(SEND_ERROR "CUDA: ${target_cc} compute capability is not supported - exclude it from ARCH/PTX list and re-run CMake")
endif()
endmacro()
ocv_wipeout_deprecated_cc("1.0")
ocv_wipeout_deprecated_cc("2.1")
# NVCC flags to be set
set(NVCC_FLAGS_EXTRA "")
@@ -277,6 +390,16 @@ if(CUDA_FOUND)
if(UNIX OR APPLE)
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} -Xcompiler -fPIC)
if(
ENABLE_CXX11
AND NOT " ${CMAKE_CXX_FLAGS} ${CMAKE_CXX_FLAGS_RELEASE} ${CMAKE_CXX_FLAGS_DEBUG} ${CUDA_NVCC_FLAGS}" MATCHES "-std="
)
if(CUDA_VERSION VERSION_LESS "11.0")
list(APPEND CUDA_NVCC_FLAGS "--std=c++11")
else()
list(APPEND CUDA_NVCC_FLAGS "--std=c++14")
endif()
endif()
endif()
if(APPLE)
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} -Xcompiler -fno-finite-math-only)
@@ -340,4 +463,57 @@ if(HAVE_CUDA)
set(CUDA_cufft_LIBRARY_ABS ${CUDA_cufft_LIBRARY})
ocv_convert_to_lib_name(CUDA_cufft_LIBRARY ${CUDA_cufft_LIBRARY})
endif()
if(CMAKE_GENERATOR MATCHES "Visual Studio"
AND NOT OPENCV_SKIP_CUDA_CMAKE_SUPPRESS_REGENERATION
)
message(STATUS "CUDA: MSVS generator is detected. Disabling CMake re-run checks (CMAKE_SUPPRESS_REGENERATION=ON). You need to run CMake manually if updates are required.")
set(CMAKE_SUPPRESS_REGENERATION ON)
endif()
endif()
# ----------------------------------------------------------------------------
# Add CUDA libraries (needed for apps/tools, samples)
# ----------------------------------------------------------------------------
if(HAVE_CUDA)
# details: https://github.com/NVIDIA/nvidia-docker/issues/775
if(" ${CUDA_CUDA_LIBRARY}" MATCHES "/stubs/libcuda.so" AND NOT OPENCV_SKIP_CUDA_STUB_WORKAROUND)
set(CUDA_STUB_ENABLED_LINK_WORKAROUND 1)
if(EXISTS "${CUDA_CUDA_LIBRARY}" AND NOT OPENCV_SKIP_CUDA_STUB_WORKAROUND_RPATH_LINK)
set(CUDA_STUB_TARGET_PATH "${CMAKE_BINARY_DIR}${CMAKE_FILES_DIRECTORY}/")
execute_process(COMMAND ${CMAKE_COMMAND} -E create_symlink "${CUDA_CUDA_LIBRARY}" "${CUDA_STUB_TARGET_PATH}/libcuda.so.1"
RESULT_VARIABLE CUDA_STUB_SYMLINK_RESULT)
if(NOT CUDA_STUB_SYMLINK_RESULT EQUAL 0)
execute_process(COMMAND ${CMAKE_COMMAND} -E copy_if_different "${CUDA_CUDA_LIBRARY}" "${CUDA_STUB_TARGET_PATH}/libcuda.so.1"
RESULT_VARIABLE CUDA_STUB_COPY_RESULT)
if(NOT CUDA_STUB_COPY_RESULT EQUAL 0)
set(CUDA_STUB_ENABLED_LINK_WORKAROUND 0)
endif()
endif()
if(CUDA_STUB_ENABLED_LINK_WORKAROUND)
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,-rpath-link,\"${CUDA_STUB_TARGET_PATH}\"")
endif()
else()
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,--allow-shlib-undefined")
endif()
if(NOT CUDA_STUB_ENABLED_LINK_WORKAROUND)
message(WARNING "CUDA: workaround for stubs/libcuda.so.1 is not applied")
endif()
endif()
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_LIBRARIES} ${CUDA_npp_LIBRARY})
if(HAVE_CUBLAS)
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_cublas_LIBRARY})
endif()
if(HAVE_CUFFT)
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CUDA_cufft_LIBRARY})
endif()
foreach(p ${CUDA_LIBS_PATH})
if(MSVC AND CMAKE_GENERATOR MATCHES "Ninja|JOM")
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CMAKE_LIBRARY_PATH_FLAG}"${p}")
else()
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} ${CMAKE_LIBRARY_PATH_FLAG}${p})
endif()
endforeach()
endif()
+2 -2
View File
@@ -135,9 +135,9 @@ endif()
if(INF_ENGINE_TARGET)
if(NOT INF_ENGINE_RELEASE)
message(WARNING "InferenceEngine version has not been set, 2020.2 will be used by default. Set INF_ENGINE_RELEASE variable if you experience build errors.")
message(WARNING "InferenceEngine version has not been set, 2020.4 will be used by default. Set INF_ENGINE_RELEASE variable if you experience build errors.")
endif()
set(INF_ENGINE_RELEASE "2020020000" CACHE STRING "Force IE version, should be in form YYYYAABBCC (e.g. 2020.1.0.2 -> 2020010002)")
set(INF_ENGINE_RELEASE "2020040000" CACHE STRING "Force IE version, should be in form YYYYAABBCC (e.g. 2020.1.0.2 -> 2020010002)")
set_target_properties(${INF_ENGINE_TARGET} PROPERTIES
INTERFACE_COMPILE_DEFINITIONS "HAVE_INF_ENGINE=1;INF_ENGINE_RELEASE=${INF_ENGINE_RELEASE}"
)
+1
View File
@@ -252,6 +252,7 @@ if(NOT DEFINED IPPROOT)
else()
ocv_install_3rdparty_licenses(ippicv "${ICV_PACKAGE_ROOT}/EULA.txt")
endif()
ocv_install_3rdparty_licenses(ippicv "${ICV_PACKAGE_ROOT}/third-party-programs.txt")
endif()
file(TO_CMAKE_PATH "${IPPROOT}" __IPPROOT)
+13 -7
View File
@@ -79,9 +79,10 @@ get_mkl_version(${MKL_INCLUDE_DIRS}/mkl_version.h)
#determine arch
if(CMAKE_CXX_SIZEOF_DATA_PTR EQUAL 8)
set(MKL_X64 1)
set(MKL_ARCH "intel64")
set(MKL_ARCH_LIST "intel64")
if(MSVC)
list(APPEND MKL_ARCH_LIST "win-x64")
endif()
include(CheckTypeSize)
CHECK_TYPE_SIZE(int _sizeof_int)
if (_sizeof_int EQUAL 4)
@@ -90,14 +91,19 @@ if(CMAKE_CXX_SIZEOF_DATA_PTR EQUAL 8)
set(MKL_ARCH_SUFFIX "ilp64")
endif()
else()
set(MKL_ARCH "ia32")
set(MKL_ARCH_LIST "ia32")
set(MKL_ARCH_SUFFIX "c")
endif()
if(MKL_VERSION_STR VERSION_GREATER "11.3.0" OR MKL_VERSION_STR VERSION_EQUAL "11.3.0")
set(mkl_lib_find_paths
${MKL_ROOT_DIR}/lib
${MKL_ROOT_DIR}/lib/${MKL_ARCH} ${MKL_ROOT_DIR}/../tbb/lib/${MKL_ARCH})
${MKL_ROOT_DIR}/lib)
foreach(MKL_ARCH ${MKL_ARCH_LIST})
list(APPEND mkl_lib_find_paths
${MKL_ROOT_DIR}/lib/${MKL_ARCH}
${MKL_ROOT_DIR}/../tbb/lib/${MKL_ARCH}
${MKL_ROOT_DIR}/${MKL_ARCH})
endforeach()
set(mkl_lib_list "mkl_intel_${MKL_ARCH_SUFFIX}")
@@ -121,7 +127,7 @@ endif()
set(MKL_LIBRARIES "")
foreach(lib ${mkl_lib_list})
find_library(${lib} ${lib} ${mkl_lib_find_paths})
find_library(${lib} NAMES ${lib} ${lib}_dll HINTS ${mkl_lib_find_paths})
mark_as_advanced(${lib})
if(NOT ${lib})
mkl_fail()
+2 -1
View File
@@ -46,6 +46,7 @@
SET(Open_BLAS_INCLUDE_SEARCH_PATHS
$ENV{OpenBLAS_HOME}
$ENV{OpenBLAS_HOME}/include
$ENV{OpenBLAS_HOME}/include/openblas
/opt/OpenBLAS/include
/usr/local/include/openblas
/usr/include/openblas
@@ -103,4 +104,4 @@ MARK_AS_ADVANCED(
OpenBLAS_INCLUDE_DIR
OpenBLAS_LIB
OpenBLAS
)
)
+1 -1
View File
@@ -88,7 +88,7 @@ FOREACH(SEARCH_PATH ${SEARCH_PATHS})
ocv_find_openexr("-${OPENEXR_VERSION}")
ocv_find_openexr("-${OPENEXR_VERSION}_s")
ocv_find_openexr("-${OPENEXR_VERSION}_d")
ocv_find_openexr("-${OPEXEXR_VERSION}_s_d")
ocv_find_openexr("-${OPENEXR_VERSION}_s_d")
ocv_find_openexr("")
ocv_find_openexr("_s")
ocv_find_openexr("_d")
+2 -2
View File
@@ -1337,8 +1337,8 @@ function(ocv_add_samples)
endif()
add_dependencies(${parent_target} ${the_target})
if(WIN32)
install(TARGETS ${the_target} RUNTIME DESTINATION "samples/${module_id}" COMPONENT samples)
if(INSTALL_BIN_EXAMPLES)
install(TARGETS ${the_target} RUNTIME DESTINATION "${OPENCV_SAMPLES_BIN_INSTALL_PATH}/${module_id}" COMPONENT samples)
endif()
endforeach()
endif()
+2 -3
View File
@@ -13,9 +13,6 @@
/* Compile for 'real' NVIDIA GPU architectures */
#define CUDA_ARCH_BIN "${OPENCV_CUDA_ARCH_BIN}"
/* Create PTX or BIN for 1.0 compute capability */
#cmakedefine CUDA_ARCH_BIN_OR_PTX_10
/* NVIDIA GPU features are used */
#define CUDA_ARCH_FEATURES "${OPENCV_CUDA_ARCH_FEATURES}"
@@ -127,6 +124,8 @@
/* NVIDIA Video Decoding API*/
#cmakedefine HAVE_NVCUVID
#cmakedefine HAVE_NVCUVID_HEADER
#cmakedefine HAVE_DYNLINK_NVCUVID_HEADER
/* NVIDIA Video Encoding API*/
#cmakedefine HAVE_NVCUVENC
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@@ -9,6 +9,9 @@ MathJax.Hub.Config(
forkfour: ["\\left\\{ \\begin{array}{l l} #1 & \\mbox{#2}\\\\ #3 & \\mbox{#4}\\\\ #5 & \\mbox{#6}\\\\ #7 & \\mbox{#8}\\\\ \\end{array} \\right.", 8],
vecthree: ["\\begin{bmatrix} #1\\\\ #2\\\\ #3 \\end{bmatrix}", 3],
vecthreethree: ["\\begin{bmatrix} #1 & #2 & #3\\\\ #4 & #5 & #6\\\\ #7 & #8 & #9 \\end{bmatrix}", 9],
cameramatrix: ["#1 = \\begin{bmatrix} f_x & 0 & c_x\\\\ 0 & f_y & c_y\\\\ 0 & 0 & 1 \\end{bmatrix}", 1],
distcoeffs: ["(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \\tau_x, \\tau_y]]]]) \\text{ of 4, 5, 8, 12 or 14 elements}"],
distcoeffsfisheye: ["(k_1, k_2, k_3, k_4)"],
hdotsfor: ["\\dots", 1],
mathbbm: ["\\mathbb{#1}", 1],
bordermatrix: ["\\matrix{#1}", 1]
+17
View File
@@ -51,3 +51,20 @@
#7 & #8 & #9
\end{bmatrix}
}
\newcommand{\cameramatrix}[1]{
#1 =
\begin{bmatrix}
f_x & 0 & c_x\\
0 & f_y & c_y\\
0 & 0 & 1
\end{bmatrix}
}
\newcommand{\distcoeffs}[]{
(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]]) \text{ of 4, 5, 8, 12 or 14 elements}
}
\newcommand{\distcoeffsfisheye}[]{
(k_1, k_2, k_3, k_4)
}
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+9
View File
@@ -0,0 +1,9 @@
OpenCV logo has been originally designed and contributed to OpenCV by Adi Shavit in 2006. The graphical part consists of three stylized letters O, C, V, colored in the primary R, G, B color components, used by humans and computers to perceive the world. It is shaped in a way to mimic the famous [Kanizsa's triangle](https://en.wikipedia.org/wiki/Illusory_contours) to emphasize that the prior knowledge and internal processing are at least as important as the actually acquired "raw" data.
The restyled version of the logo has been designed and contributed by [xperience.ai](https://xperience.ai/) in July 2020 for the [20th anniversary](https://opencv.org/anniversary/) of OpenCV.
The logo uses [Exo 2](https://fonts.google.com/specimen/Exo+2#about) font by Natanael Gama distributed under OFL license.
Higher-resolution version of the logo, as well as SVG version of it, can be obtained at OpenCV [Media Kit](https://opencv.org/resources/media-kit/).
![](./opencv-logo2.png)
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+32 -1
View File
@@ -346,7 +346,8 @@
year = {2003},
pages = {363--370},
publisher = {Springer},
url = {https://arxiv.org/pdf/1808.01752}
url = {https://doi.org/10.1007/3-540-45103-X_50},
doi = {10.1007/3-540-45103-X_50}
}
@inproceedings{Farsiu03,
author = {Farsiu, Sina and Robinson, Dirk and Elad, Michael and Milanfar, Peyman},
@@ -583,6 +584,16 @@
pages = {1033--1040},
publisher = {IEEE}
}
@article{YM11,
author = {Yu, Guoshen and Morel, Jean-Michel},
title = {ASIFT: An Algorithm for Fully Affine Invariant Comparison},
year = {2011},
pages = {11--38},
journal = {Image Processing On Line},
volume = {1},
doi = {10.5201/ipol.2011.my-asift},
url = {http://www.ipol.im/pub/algo/my_affine_sift/}
}
@inproceedings{LCS11,
author = {Leutenegger, Stefan and Chli, Margarita and Siegwart, Roland Yves},
title = {BRISK: Binary robust invariant scalable keypoints},
@@ -1214,3 +1225,23 @@
year = {1996},
publisher = {Elsevier}
}
@Article{Wu2009,
author={Wu, Kesheng
and Otoo, Ekow
and Suzuki, Kenji},
title={Optimizing two-pass connected-component labeling algorithms},
journal={Pattern Analysis and Applications},
year={2009},
month={Jun},
day={01},
volume={12},
number={2},
pages={117-135},
}
@inproceedings{forstner1987fast,
title={A fast operator for detection and precise location of distincs points, corners and center of circular features},
author={FORSTNER, W},
booktitle={Proc. of the Intercommission Conference on Fast Processing of Photogrammetric Data, Interlaken, Switzerland, 1987},
pages={281--305},
year={1987}
}
BIN
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+18 -9
View File
@@ -36,18 +36,27 @@ class PatternMaker:
def make_circles_pattern(self):
spacing = self.square_size
r = spacing / self.radius_rate
for x in range(1, self.cols + 1):
for y in range(1, self.rows + 1):
dot = SVG("circle", cx=x * spacing, cy=y * spacing, r=r, fill="black", stroke="none")
pattern_width = ((self.cols - 1.0) * spacing) + (2.0 * r)
pattern_height = ((self.rows - 1.0) * spacing) + (2.0 * r)
x_spacing = (self.width - pattern_width) / 2.0
y_spacing = (self.height - pattern_height) / 2.0
for x in range(0, self.cols):
for y in range(0, self.rows):
dot = SVG("circle", cx=(x * spacing) + x_spacing + r,
cy=(y * spacing) + y_spacing + r, r=r, fill="black", stroke="none")
self.g.append(dot)
def make_acircles_pattern(self):
spacing = self.square_size
r = spacing / self.radius_rate
for i in range(0, self.rows):
for j in range(0, self.cols):
dot = SVG("circle", cx=((j * 2 + i % 2) * spacing) + spacing, cy=self.height - (i * spacing + spacing),
r=r, fill="black", stroke="none")
pattern_width = ((self.cols-1.0) * 2 * spacing) + spacing + (2.0 * r)
pattern_height = ((self.rows-1.0) * spacing) + (2.0 * r)
x_spacing = (self.width - pattern_width) / 2.0
y_spacing = (self.height - pattern_height) / 2.0
for x in range(0, self.cols):
for y in range(0, self.rows):
dot = SVG("circle", cx=(2 * x * spacing) + (y % 2)*spacing + x_spacing + r,
cy=(y * spacing) + y_spacing + r, r=r, fill="black", stroke="none")
self.g.append(dot)
def make_checkerboard_pattern(self):
@@ -84,9 +93,9 @@ def main():
parser.add_argument("-R", "--radius_rate", help="circles_radius = square_size/radius_rate", default="5.0",
action="store", dest="radius_rate", type=float)
parser.add_argument("-w", "--page_width", help="page width in units", default="216", action="store",
dest="page_width", type=int)
dest="page_width", type=float)
parser.add_argument("-h", "--page_height", help="page height in units", default="279", action="store",
dest="page_width", type=int)
dest="page_width", type=float)
parser.add_argument("-a", "--page_size", help="page size, supersedes -h -w arguments", default="A4", action="store",
dest="page_size", choices=["A0", "A1", "A2", "A3", "A4", "A5"])
args = parser.parse_args()
@@ -78,7 +78,7 @@ pixelpoints = np.transpose(np.nonzero(mask))
Here, two methods, one using Numpy functions, next one using OpenCV function (last commented line)
are given to do the same. Results are also same, but with a slight difference. Numpy gives
coordinates in **(row, column)** format, while OpenCV gives coordinates in **(x,y)** format. So
basically the answers will be interchanged. Note that, **row = x** and **column = y**.
basically the answers will be interchanged. Note that, **row = y** and **column = x**.
7. Maximum Value, Minimum Value and their locations
---------------------------------------------------
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+20 -3
View File
@@ -6,12 +6,11 @@ body, table, div, p, dl {
}
code {
font: 12px Consolas, "Liberation Mono", Courier, monospace;
font-size: 85%;
font-family: "SFMono-Regular",Consolas,"Liberation Mono",Menlo,Courier,monospace;
white-space: pre-wrap;
padding: 1px 5px;
padding: 0;
background-color: #ddd;
background-color: rgb(223, 229, 241);
vertical-align: baseline;
}
@@ -20,6 +19,16 @@ body {
margin: 0 auto;
}
div.fragment {
padding: 3px;
padding-bottom: 0px;
}
div.line {
padding-bottom: 3px;
font-family: "SFMono-Regular",Consolas,"Liberation Mono",Menlo,Courier,monospace;
}
div.contents {
width: 980px;
margin: 0 auto;
@@ -35,3 +44,11 @@ span.arrow {
div.image img{
max-width: 900px;
}
#projectlogo
{
text-align: center;
vertical-align: middle;
border-collapse: separate;
padding-left: 0.5em;
}
@@ -15,7 +15,7 @@ Tutorial was written for the following versions of corresponding software:
- Download and install Android Studio from https://developer.android.com/studio.
- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases and unpack it (for example, `opencv-3.4.11-android-sdk.zip`).
- Get the latest pre-built OpenCV for Android release from https://github.com/opencv/opencv/releases and unpack it (for example, `opencv-3.X.Y-android-sdk.zip`).
- Download MobileNet object detection model from https://github.com/chuanqi305/MobileNet-SSD. We need a configuration file `MobileNetSSD_deploy.prototxt` and weights `MobileNetSSD_deploy.caffemodel`.
@@ -37,7 +37,7 @@ J_{12} & J_{22}
where \f$J_{11} = M[Z_{x}^{2}]\f$, \f$J_{22} = M[Z_{y}^{2}]\f$, \f$J_{12} = M[Z_{x}Z_{y}]\f$ - components of the tensor, \f$M[]\f$ is a symbol of mathematical expectation (we can consider this operation as averaging in a window w), \f$Z_{x}\f$ and \f$Z_{y}\f$ are partial derivatives of an image \f$Z\f$ with respect to \f$x\f$ and \f$y\f$.
The eigenvalues of the tensor can be found in the below formula:
\f[\lambda_{1,2} = J_{11} + J_{22} \pm \sqrt{(J_{11} - J_{22})^{2} + 4J_{12}^{2}}\f]
\f[\lambda_{1,2} = \frac{1}{2} \left [ J_{11} + J_{22} \pm \sqrt{(J_{11} - J_{22})^{2} + 4J_{12}^{2}} \right ] \f]
where \f$\lambda_1\f$ - largest eigenvalue, \f$\lambda_2\f$ - smallest eigenvalue.
### How to estimate orientation and coherency of an anisotropic image by gradient structure tensor?
@@ -39,14 +39,14 @@ Open your Doxyfile using your favorite text editor and search for the key
`TAGFILES`. Change it as follows:
@code
TAGFILES = ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/3.4.11
TAGFILES = ./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/3.4.12
@endcode
If you had other definitions already, you can append the line using a `\`:
@code
TAGFILES = ./docs/doxygen-tags/libstdc++.tag=https://gcc.gnu.org/onlinedocs/libstdc++/latest-doxygen \
./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/3.4.11
./docs/doxygen-tags/opencv.tag=http://docs.opencv.org/3.4.12
@endcode
Doxygen can now use the information from the tag file to link to the OpenCV
@@ -30,7 +30,7 @@ Installing CMake
-# Install the dmg package and launch it from Applications. That will give you the UI app of CMake
-# From the CMake app window, choose menu Tools --> Install For Command Line Use.
-# From the CMake app window, choose menu Tools --> How to Install For Command Line Use. Then, follow the instructions from the pop-up there.
-# Install folder will be /usr/bin/ by default, submit it by choosing Install command line links.
@@ -66,7 +66,7 @@ git clone https://github.com/opencv/opencv_contrib.git
Building OpenCV from Source Using CMake
---------------------------------------
-# Create a temporary directory, which we denote as `<cmake_build_dir>`, where you want to put
-# Create a temporary directory, which we denote as `build_opencv`, where you want to put
the generated Makefiles, project files as well the object files and output binaries and enter
there.
@@ -87,8 +87,8 @@ Building OpenCV from Source Using CMake
or cmake-gui
- set full path to OpenCV source code, e.g. `/home/user/opencv`
- set full path to `<cmake_build_dir>`, e.g. `/home/user/build_opencv`
- set the OpenCV source code path to, e.g. `/home/user/opencv`
- set the binary build path to your CMake build directory, e.g. `/home/user/build_opencv`
- set optional parameters
- run: "Configure"
- run: "Generate"
+111 -115
View File
@@ -64,17 +64,17 @@ The distortion-free projective transformation given by a pinhole camera model i
\f[s \; p = A \begin{bmatrix} R|t \end{bmatrix} P_w,\f]
where \f$P_w\f$ is a 3D point expressed with respect to the world coordinate system,
\f$p\f$ is a 2D pixel in the image plane, \f$A\f$ is the intrinsic camera matrix,
\f$p\f$ is a 2D pixel in the image plane, \f$A\f$ is the camera intrinsic matrix,
\f$R\f$ and \f$t\f$ are the rotation and translation that describe the change of coordinates from
world to camera coordinate systems (or camera frame) and \f$s\f$ is the projective transformation's
arbitrary scaling and not part of the camera model.
The intrinsic camera matrix \f$A\f$ (notation used as in @cite Zhang2000 and also generally notated
The camera intrinsic matrix \f$A\f$ (notation used as in @cite Zhang2000 and also generally notated
as \f$K\f$) projects 3D points given in the camera coordinate system to 2D pixel coordinates, i.e.
\f[p = A P_c.\f]
The camera matrix \f$A\f$ is composed of the focal lengths \f$f_x\f$ and \f$f_y\f$, which are
The camera intrinsic matrix \f$A\f$ is composed of the focal lengths \f$f_x\f$ and \f$f_y\f$, which are
expressed in pixel units, and the principal point \f$(c_x, c_y)\f$, that is usually close to the
image center:
@@ -382,9 +382,9 @@ R & t \\
\end{bmatrix} P_{h_0}.\f]
@note
- Many functions in this module take a camera matrix as an input parameter. Although all
- Many functions in this module take a camera intrinsic matrix as an input parameter. Although all
functions assume the same structure of this parameter, they may name it differently. The
parameter's description, however, will be clear in that a camera matrix with the structure
parameter's description, however, will be clear in that a camera intrinsic matrix with the structure
shown above is required.
- A calibration sample for 3 cameras in a horizontal position can be found at
opencv_source_code/samples/cpp/3calibration.cpp
@@ -450,8 +450,10 @@ enum SolvePnPMethod {
SOLVEPNP_ITERATIVE = 0,
SOLVEPNP_EPNP = 1, //!< EPnP: Efficient Perspective-n-Point Camera Pose Estimation @cite lepetit2009epnp
SOLVEPNP_P3P = 2, //!< Complete Solution Classification for the Perspective-Three-Point Problem @cite gao2003complete
SOLVEPNP_DLS = 3, //!< A Direct Least-Squares (DLS) Method for PnP @cite hesch2011direct
SOLVEPNP_UPNP = 4, //!< Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation @cite penate2013exhaustive
SOLVEPNP_DLS = 3, //!< **Broken implementation. Using this flag will fallback to EPnP.** \n
//!< A Direct Least-Squares (DLS) Method for PnP @cite hesch2011direct
SOLVEPNP_UPNP = 4, //!< **Broken implementation. Using this flag will fallback to EPnP.** \n
//!< Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation @cite penate2013exhaustive
SOLVEPNP_AP3P = 5, //!< An Efficient Algebraic Solution to the Perspective-Three-Point Problem @cite Ke17
SOLVEPNP_IPPE = 6, //!< Infinitesimal Plane-Based Pose Estimation @cite Collins14 \n
//!< Object points must be coplanar.
@@ -648,10 +650,10 @@ CV_EXPORTS_W Vec3d RQDecomp3x3( InputArray src, OutputArray mtxR, OutputArray mt
OutputArray Qy = noArray(),
OutputArray Qz = noArray());
/** @brief Decomposes a projection matrix into a rotation matrix and a camera matrix.
/** @brief Decomposes a projection matrix into a rotation matrix and a camera intrinsic matrix.
@param projMatrix 3x4 input projection matrix P.
@param cameraMatrix Output 3x3 camera matrix K.
@param cameraMatrix Output 3x3 camera intrinsic matrix \f$\cameramatrix{A}\f$.
@param rotMatrix Output 3x3 external rotation matrix R.
@param transVect Output 4x1 translation vector T.
@param rotMatrixX Optional 3x3 rotation matrix around x-axis.
@@ -736,10 +738,9 @@ CV_EXPORTS_W void composeRT( InputArray rvec1, InputArray tvec1,
@param rvec The rotation vector (@ref Rodrigues) that, together with tvec, performs a change of
basis from world to camera coordinate system, see @ref calibrateCamera for details.
@param tvec The translation vector, see parameter description above.
@param cameraMatrix Camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}\f$ .
@param cameraMatrix Camera intrinsic matrix \f$\cameramatrix{A}\f$ .
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is empty, the zero distortion coefficients are assumed.
\f$\distcoeffs\f$ . If the vector is empty, the zero distortion coefficients are assumed.
@param imagePoints Output array of image points, 1xN/Nx1 2-channel, or
vector\<Point2f\> .
@param jacobian Optional output 2Nx(10+\<numDistCoeffs\>) jacobian matrix of derivatives of image
@@ -793,10 +794,9 @@ Number of input points must be 4. Object points must be defined in the following
1xN/Nx1 3-channel, where N is the number of points. vector\<Point3d\> can be also passed here.
@param imagePoints Array of corresponding image points, Nx2 1-channel or 1xN/Nx1 2-channel,
where N is the number of points. vector\<Point2d\> can be also passed here.
@param cameraMatrix Input camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Input camera intrinsic matrix \f$\cameramatrix{A}\f$ .
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are
\f$\distcoeffs\f$. If the vector is NULL/empty, the zero distortion coefficients are
assumed.
@param rvec Output rotation vector (see @ref Rodrigues ) that, together with tvec, brings points from
the model coordinate system to the camera coordinate system.
@@ -808,7 +808,7 @@ vectors, respectively, and further optimizes them.
- **SOLVEPNP_ITERATIVE** Iterative method is based on a Levenberg-Marquardt optimization. In
this case the function finds such a pose that minimizes reprojection error, that is the sum
of squared distances between the observed projections imagePoints and the projected (using
projectPoints ) objectPoints .
@ref projectPoints ) objectPoints .
- **SOLVEPNP_P3P** Method is based on the paper of X.S. Gao, X.-R. Hou, J. Tang, H.-F. Chang
"Complete Solution Classification for the Perspective-Three-Point Problem" (@cite gao2003complete).
In this case the function requires exactly four object and image points.
@@ -817,9 +817,11 @@ In this case the function requires exactly four object and image points.
In this case the function requires exactly four object and image points.
- **SOLVEPNP_EPNP** Method has been introduced by F. Moreno-Noguer, V. Lepetit and P. Fua in the
paper "EPnP: Efficient Perspective-n-Point Camera Pose Estimation" (@cite lepetit2009epnp).
- **SOLVEPNP_DLS** Method is based on the paper of J. Hesch and S. Roumeliotis.
- **SOLVEPNP_DLS** **Broken implementation. Using this flag will fallback to EPnP.** \n
Method is based on the paper of J. Hesch and S. Roumeliotis.
"A Direct Least-Squares (DLS) Method for PnP" (@cite hesch2011direct).
- **SOLVEPNP_UPNP** Method is based on the paper of A. Penate-Sanchez, J. Andrade-Cetto,
- **SOLVEPNP_UPNP** **Broken implementation. Using this flag will fallback to EPnP.** \n
Method is based on the paper of A. Penate-Sanchez, J. Andrade-Cetto,
F. Moreno-Noguer. "Exhaustive Linearization for Robust Camera Pose and Focal Length
Estimation" (@cite penate2013exhaustive). In this case the function also estimates the parameters \f$f_x\f$ and \f$f_y\f$
assuming that both have the same value. Then the cameraMatrix is updated with the estimated
@@ -835,7 +837,7 @@ It requires 4 coplanar object points defined in the following order:
- point 3: [-squareLength / 2, -squareLength / 2, 0]
The function estimates the object pose given a set of object points, their corresponding image
projections, as well as the camera matrix and the distortion coefficients, see the figure below
projections, as well as the camera intrinsic matrix and the distortion coefficients, see the figure below
(more precisely, the X-axis of the camera frame is pointing to the right, the Y-axis downward
and the Z-axis forward).
@@ -968,10 +970,9 @@ CV_EXPORTS_W bool solvePnP( InputArray objectPoints, InputArray imagePoints,
1xN/Nx1 3-channel, where N is the number of points. vector\<Point3d\> can be also passed here.
@param imagePoints Array of corresponding image points, Nx2 1-channel or 1xN/Nx1 2-channel,
where N is the number of points. vector\<Point2d\> can be also passed here.
@param cameraMatrix Input camera matrix \f$A = \vecthreethree{fx}{0}{cx}{0}{fy}{cy}{0}{0}{1}\f$ .
@param cameraMatrix Input camera intrinsic matrix \f$\cameramatrix{A}\f$ .
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are
\f$\distcoeffs\f$. If the vector is NULL/empty, the zero distortion coefficients are
assumed.
@param rvec Output rotation vector (see @ref Rodrigues ) that, together with tvec, brings points from
the model coordinate system to the camera coordinate system.
@@ -988,7 +989,7 @@ an inlier.
@param flags Method for solving a PnP problem (see @ref solvePnP ).
The function estimates an object pose given a set of object points, their corresponding image
projections, as well as the camera matrix and the distortion coefficients. This function finds such
projections, as well as the camera intrinsic matrix and the distortion coefficients. This function finds such
a pose that minimizes reprojection error, that is, the sum of squared distances between the observed
projections imagePoints and the projected (using @ref projectPoints ) objectPoints. The use of RANSAC
makes the function resistant to outliers.
@@ -1017,10 +1018,9 @@ CV_EXPORTS_W bool solvePnPRansac( InputArray objectPoints, InputArray imagePoint
1x3/3x1 3-channel. vector\<Point3f\> can be also passed here.
@param imagePoints Array of corresponding image points, 3x2 1-channel or 1x3/3x1 2-channel.
vector\<Point2f\> can be also passed here.
@param cameraMatrix Input camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Input camera intrinsic matrix \f$\cameramatrix{A}\f$ .
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are
\f$\distcoeffs\f$. If the vector is NULL/empty, the zero distortion coefficients are
assumed.
@param rvecs Output rotation vectors (see @ref Rodrigues ) that, together with tvecs, brings points from
the model coordinate system to the camera coordinate system. A P3P problem has up to 4 solutions.
@@ -1032,7 +1032,7 @@ the model coordinate system to the camera coordinate system. A P3P problem has u
"An Efficient Algebraic Solution to the Perspective-Three-Point Problem" (@cite Ke17).
The function estimates the object pose given 3 object points, their corresponding image
projections, as well as the camera matrix and the distortion coefficients.
projections, as well as the camera intrinsic matrix and the distortion coefficients.
@note
The solutions are sorted by reprojection errors (lowest to highest).
@@ -1049,10 +1049,9 @@ to the camera coordinate frame) from a 3D-2D point correspondences and starting
where N is the number of points. vector\<Point3d\> can also be passed here.
@param imagePoints Array of corresponding image points, Nx2 1-channel or 1xN/Nx1 2-channel,
where N is the number of points. vector\<Point2d\> can also be passed here.
@param cameraMatrix Input camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Input camera intrinsic matrix \f$\cameramatrix{A}\f$ .
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are
\f$\distcoeffs\f$. If the vector is NULL/empty, the zero distortion coefficients are
assumed.
@param rvec Input/Output rotation vector (see @ref Rodrigues ) that, together with tvec, brings points from
the model coordinate system to the camera coordinate system. Input values are used as an initial solution.
@@ -1061,7 +1060,7 @@ the model coordinate system to the camera coordinate system. Input values are us
The function refines the object pose given at least 3 object points, their corresponding image
projections, an initial solution for the rotation and translation vector,
as well as the camera matrix and the distortion coefficients.
as well as the camera intrinsic matrix and the distortion coefficients.
The function minimizes the projection error with respect to the rotation and the translation vectors, according
to a Levenberg-Marquardt iterative minimization @cite Madsen04 @cite Eade13 process.
*/
@@ -1077,10 +1076,9 @@ to the camera coordinate frame) from a 3D-2D point correspondences and starting
where N is the number of points. vector\<Point3d\> can also be passed here.
@param imagePoints Array of corresponding image points, Nx2 1-channel or 1xN/Nx1 2-channel,
where N is the number of points. vector\<Point2d\> can also be passed here.
@param cameraMatrix Input camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Input camera intrinsic matrix \f$\cameramatrix{A}\f$ .
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are
\f$\distcoeffs\f$. If the vector is NULL/empty, the zero distortion coefficients are
assumed.
@param rvec Input/Output rotation vector (see @ref Rodrigues ) that, together with tvec, brings points from
the model coordinate system to the camera coordinate system. Input values are used as an initial solution.
@@ -1091,7 +1089,7 @@ gain in the Damped Gauss-Newton formulation.
The function refines the object pose given at least 3 object points, their corresponding image
projections, an initial solution for the rotation and translation vector,
as well as the camera matrix and the distortion coefficients.
as well as the camera intrinsic matrix and the distortion coefficients.
The function minimizes the projection error with respect to the rotation and the translation vectors, using a
virtual visual servoing (VVS) @cite Chaumette06 @cite Marchand16 scheme.
*/
@@ -1119,10 +1117,9 @@ Only 1 solution is returned.
1xN/Nx1 3-channel, where N is the number of points. vector\<Point3d\> can be also passed here.
@param imagePoints Array of corresponding image points, Nx2 1-channel or 1xN/Nx1 2-channel,
where N is the number of points. vector\<Point2d\> can be also passed here.
@param cameraMatrix Input camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Input camera intrinsic matrix \f$\cameramatrix{A}\f$ .
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are
\f$\distcoeffs\f$. If the vector is NULL/empty, the zero distortion coefficients are
assumed.
@param rvecs Vector of output rotation vectors (see @ref Rodrigues ) that, together with tvecs, brings points from
the model coordinate system to the camera coordinate system.
@@ -1143,9 +1140,11 @@ In this case the function requires exactly four object and image points.
In this case the function requires exactly four object and image points.
- **SOLVEPNP_EPNP** Method has been introduced by F.Moreno-Noguer, V.Lepetit and P.Fua in the
paper "EPnP: Efficient Perspective-n-Point Camera Pose Estimation" (@cite lepetit2009epnp).
- **SOLVEPNP_DLS** Method is based on the paper of Joel A. Hesch and Stergios I. Roumeliotis.
- **SOLVEPNP_DLS** **Broken implementation. Using this flag will fallback to EPnP.** \n
Method is based on the paper of Joel A. Hesch and Stergios I. Roumeliotis.
"A Direct Least-Squares (DLS) Method for PnP" (@cite hesch2011direct).
- **SOLVEPNP_UPNP** Method is based on the paper of A.Penate-Sanchez, J.Andrade-Cetto,
- **SOLVEPNP_UPNP** **Broken implementation. Using this flag will fallback to EPnP.** \n
Method is based on the paper of A.Penate-Sanchez, J.Andrade-Cetto,
F.Moreno-Noguer. "Exhaustive Linearization for Robust Camera Pose and Focal Length
Estimation" (@cite penate2013exhaustive). In this case the function also estimates the parameters \f$f_x\f$ and \f$f_y\f$
assuming that both have the same value. Then the cameraMatrix is updated with the estimated
@@ -1168,7 +1167,7 @@ and useExtrinsicGuess is set to true.
and the 3D object points projected with the estimated pose.
The function estimates the object pose given a set of object points, their corresponding image
projections, as well as the camera matrix and the distortion coefficients, see the figure below
projections, as well as the camera intrinsic matrix and the distortion coefficients, see the figure below
(more precisely, the X-axis of the camera frame is pointing to the right, the Y-axis downward
and the Z-axis forward).
@@ -1297,7 +1296,7 @@ CV_EXPORTS_W int solvePnPGeneric( InputArray objectPoints, InputArray imagePoint
InputArray rvec = noArray(), InputArray tvec = noArray(),
OutputArray reprojectionError = noArray() );
/** @brief Finds an initial camera matrix from 3D-2D point correspondences.
/** @brief Finds an initial camera intrinsic matrix from 3D-2D point correspondences.
@param objectPoints Vector of vectors of the calibration pattern points in the calibration pattern
coordinate space. In the old interface all the per-view vectors are concatenated. See
@@ -1308,7 +1307,7 @@ old interface all the per-view vectors are concatenated.
@param aspectRatio If it is zero or negative, both \f$f_x\f$ and \f$f_y\f$ are estimated independently.
Otherwise, \f$f_x = f_y * \texttt{aspectRatio}\f$ .
The function estimates and returns an initial camera matrix for the camera calibration process.
The function estimates and returns an initial camera intrinsic matrix for the camera calibration process.
Currently, the function only supports planar calibration patterns, which are patterns where each
object point has z-coordinate =0.
*/
@@ -1390,10 +1389,9 @@ CV_EXPORTS_W void drawChessboardCorners( InputOutputArray image, Size patternSiz
@param image Input/output image. It must have 1 or 3 channels. The number of channels is not altered.
@param cameraMatrix Input 3x3 floating-point matrix of camera intrinsic parameters.
\f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$
\f$\cameramatrix{A}\f$
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is empty, the zero distortion coefficients are assumed.
\f$\distcoeffs\f$. If the vector is empty, the zero distortion coefficients are assumed.
@param rvec Rotation vector (see @ref Rodrigues ) that, together with tvec, brings points from
the model coordinate system to the camera coordinate system.
@param tvec Translation vector.
@@ -1503,14 +1501,13 @@ pattern points (e.g. std::vector<std::vector<cv::Vec2f>>). imagePoints.size() an
objectPoints.size(), and imagePoints[i].size() and objectPoints[i].size() for each i, must be equal,
respectively. In the old interface all the vectors of object points from different views are
concatenated together.
@param imageSize Size of the image used only to initialize the intrinsic camera matrix.
@param cameraMatrix Input/output 3x3 floating-point camera matrix
\f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ . If CV\_CALIB\_USE\_INTRINSIC\_GUESS
@param imageSize Size of the image used only to initialize the camera intrinsic matrix.
@param cameraMatrix Input/output 3x3 floating-point camera intrinsic matrix
\f$\cameramatrix{A}\f$ . If CV\_CALIB\_USE\_INTRINSIC\_GUESS
and/or CALIB_FIX_ASPECT_RATIO are specified, some or all of fx, fy, cx, cy must be
initialized before calling the function.
@param distCoeffs Input/output vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements.
\f$\distcoeffs\f$.
@param rvecs Output vector of rotation vectors (@ref Rodrigues ) estimated for each pattern view
(e.g. std::vector<cv::Mat>>). That is, each i-th rotation vector together with the corresponding
i-th translation vector (see the next output parameter description) brings the calibration pattern
@@ -1628,9 +1625,9 @@ CV_EXPORTS_W double calibrateCamera( InputArrayOfArrays objectPoints,
int flags = 0, TermCriteria criteria = TermCriteria(
TermCriteria::COUNT + TermCriteria::EPS, 30, DBL_EPSILON) );
/** @brief Computes useful camera characteristics from the camera matrix.
/** @brief Computes useful camera characteristics from the camera intrinsic matrix.
@param cameraMatrix Input camera matrix that can be estimated by calibrateCamera or
@param cameraMatrix Input camera intrinsic matrix that can be estimated by calibrateCamera or
stereoCalibrate .
@param imageSize Input image size in pixels.
@param apertureWidth Physical width in mm of the sensor.
@@ -1666,15 +1663,15 @@ be equal for each i.
observed by the first camera. The same structure as in @ref calibrateCamera.
@param imagePoints2 Vector of vectors of the projections of the calibration pattern points,
observed by the second camera. The same structure as in @ref calibrateCamera.
@param cameraMatrix1 Input/output camera matrix for the first camera, the same as in
@param cameraMatrix1 Input/output camera intrinsic matrix for the first camera, the same as in
@ref calibrateCamera. Furthermore, for the stereo case, additional flags may be used, see below.
@param distCoeffs1 Input/output vector of distortion coefficients, the same as in
@ref calibrateCamera.
@param cameraMatrix2 Input/output second camera matrix for the second camera. See description for
@param cameraMatrix2 Input/output second camera intrinsic matrix for the second camera. See description for
cameraMatrix1.
@param distCoeffs2 Input/output lens distortion coefficients for the second camera. See
description for distCoeffs1.
@param imageSize Size of the image used only to initialize the intrinsic camera matrices.
@param imageSize Size of the image used only to initialize the camera intrinsic matrices.
@param R Output rotation matrix. Together with the translation vector T, this matrix brings
points given in the first camera's coordinate system to points in the second camera's
coordinate system. In more technical terms, the tuple of R and T performs a change of basis
@@ -1795,9 +1792,9 @@ CV_EXPORTS_W double stereoCalibrate( InputArrayOfArrays objectPoints,
/** @brief Computes rectification transforms for each head of a calibrated stereo camera.
@param cameraMatrix1 First camera matrix.
@param cameraMatrix1 First camera intrinsic matrix.
@param distCoeffs1 First camera distortion parameters.
@param cameraMatrix2 Second camera matrix.
@param cameraMatrix2 Second camera intrinsic matrix.
@param distCoeffs2 Second camera distortion parameters.
@param imageSize Size of the image used for stereo calibration.
@param R Rotation matrix from the coordinate system of the first camera to the second camera,
@@ -1953,12 +1950,11 @@ CV_EXPORTS_W float rectify3Collinear( InputArray cameraMatrix1, InputArray distC
OutputArray Q, double alpha, Size newImgSize,
CV_OUT Rect* roi1, CV_OUT Rect* roi2, int flags );
/** @brief Returns the new camera matrix based on the free scaling parameter.
/** @brief Returns the new camera intrinsic matrix based on the free scaling parameter.
@param cameraMatrix Input camera matrix.
@param cameraMatrix Input camera intrinsic matrix.
@param distCoeffs Input vector of distortion coefficients
\f$(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6 [, s_1, s_2, s_3, s_4[, \tau_x, \tau_y]]]])\f$ of
4, 5, 8, 12 or 14 elements. If the vector is NULL/empty, the zero distortion coefficients are
\f$\distcoeffs\f$. If the vector is NULL/empty, the zero distortion coefficients are
assumed.
@param imageSize Original image size.
@param alpha Free scaling parameter between 0 (when all the pixels in the undistorted image are
@@ -1967,17 +1963,17 @@ stereoRectify for details.
@param newImgSize Image size after rectification. By default, it is set to imageSize .
@param validPixROI Optional output rectangle that outlines all-good-pixels region in the
undistorted image. See roi1, roi2 description in stereoRectify .
@param centerPrincipalPoint Optional flag that indicates whether in the new camera matrix the
@param centerPrincipalPoint Optional flag that indicates whether in the new camera intrinsic matrix the
principal point should be at the image center or not. By default, the principal point is chosen to
best fit a subset of the source image (determined by alpha) to the corrected image.
@return new_camera_matrix Output new camera matrix.
@return new_camera_matrix Output new camera intrinsic matrix.
The function computes and returns the optimal new camera matrix based on the free scaling parameter.
The function computes and returns the optimal new camera intrinsic matrix based on the free scaling parameter.
By varying this parameter, you may retrieve only sensible pixels alpha=0 , keep all the original
image pixels if there is valuable information in the corners alpha=1 , or get something in between.
When alpha\>0 , the undistorted result is likely to have some black pixels corresponding to
"virtual" pixels outside of the captured distorted image. The original camera matrix, distortion
coefficients, the computed new camera matrix, and newImageSize should be passed to
"virtual" pixels outside of the captured distorted image. The original camera intrinsic matrix, distortion
coefficients, the computed new camera intrinsic matrix, and newImageSize should be passed to
initUndistortRectifyMap to produce the maps for remap .
*/
CV_EXPORTS_W Mat getOptimalNewCameraMatrix( InputArray cameraMatrix, InputArray distCoeffs,
@@ -1989,23 +1985,23 @@ CV_EXPORTS_W Mat getOptimalNewCameraMatrix( InputArray cameraMatrix, InputArray
@param[in] R_gripper2base Rotation part extracted from the homogeneous matrix that transforms a point
expressed in the gripper frame to the robot base frame (\f$_{}^{b}\textrm{T}_g\f$).
This is a vector (`vector<Mat>`) that contains the rotation matrices for all the transformations
from gripper frame to robot base frame.
This is a vector (`vector<Mat>`) that contains the rotation, `(3x3)` rotation matrices or `(3x1)` rotation vectors,
for all the transformations from gripper frame to robot base frame.
@param[in] t_gripper2base Translation part extracted from the homogeneous matrix that transforms a point
expressed in the gripper frame to the robot base frame (\f$_{}^{b}\textrm{T}_g\f$).
This is a vector (`vector<Mat>`) that contains the translation vectors for all the transformations
This is a vector (`vector<Mat>`) that contains the `(3x1)` translation vectors for all the transformations
from gripper frame to robot base frame.
@param[in] R_target2cam Rotation part extracted from the homogeneous matrix that transforms a point
expressed in the target frame to the camera frame (\f$_{}^{c}\textrm{T}_t\f$).
This is a vector (`vector<Mat>`) that contains the rotation matrices for all the transformations
from calibration target frame to camera frame.
This is a vector (`vector<Mat>`) that contains the rotation, `(3x3)` rotation matrices or `(3x1)` rotation vectors,
for all the transformations from calibration target frame to camera frame.
@param[in] t_target2cam Rotation part extracted from the homogeneous matrix that transforms a point
expressed in the target frame to the camera frame (\f$_{}^{c}\textrm{T}_t\f$).
This is a vector (`vector<Mat>`) that contains the translation vectors for all the transformations
This is a vector (`vector<Mat>`) that contains the `(3x1)` translation vectors for all the transformations
from calibration target frame to camera frame.
@param[out] R_cam2gripper Estimated rotation part extracted from the homogeneous matrix that transforms a point
@param[out] R_cam2gripper Estimated `(3x3)` rotation part extracted from the homogeneous matrix that transforms a point
expressed in the camera frame to the gripper frame (\f$_{}^{g}\textrm{T}_c\f$).
@param[out] t_cam2gripper Estimated translation part extracted from the homogeneous matrix that transforms a point
@param[out] t_cam2gripper Estimated `(3x1)` translation part extracted from the homogeneous matrix that transforms a point
expressed in the camera frame to the gripper frame (\f$_{}^{g}\textrm{T}_c\f$).
@param[in] method One of the implemented Hand-Eye calibration method, see cv::HandEyeCalibrationMethod
@@ -2167,7 +2163,7 @@ final fundamental matrix. It can be set to something like 1-3, depending on the
point localization, image resolution, and the image noise.
@param confidence Parameter used for the RANSAC and LMedS methods only. It specifies a desirable level
of confidence (probability) that the estimated matrix is correct.
@param mask
@param[out] mask optional output mask
@param maxIters The maximum number of robust method iterations.
The epipolar geometry is described by the following equation:
@@ -2222,11 +2218,11 @@ CV_EXPORTS Mat findFundamentalMat( InputArray points1, InputArray points2,
@param points1 Array of N (N \>= 5) 2D points from the first image. The point coordinates should
be floating-point (single or double precision).
@param points2 Array of the second image points of the same size and format as points1 .
@param cameraMatrix Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Camera intrinsic matrix \f$\cameramatrix{A}\f$ .
Note that this function assumes that points1 and points2 are feature points from cameras with the
same camera matrix. If this assumption does not hold for your use case, use
same camera intrinsic matrix. If this assumption does not hold for your use case, use
`undistortPoints()` with `P = cv::NoArray()` for both cameras to transform image points
to normalized image coordinates, which are valid for the identity camera matrix. When
to normalized image coordinates, which are valid for the identity camera intrinsic matrix. When
passing these coordinates, pass the identity matrix for this parameter.
@param method Method for computing an essential matrix.
- **RANSAC** for the RANSAC algorithm.
@@ -2273,10 +2269,10 @@ confidence (probability) that the estimated matrix is correct.
@param mask Output array of N elements, every element of which is set to 0 for outliers and to 1
for the other points. The array is computed only in the RANSAC and LMedS methods.
This function differs from the one above that it computes camera matrix from focal length and
This function differs from the one above that it computes camera intrinsic matrix from focal length and
principal point:
\f[K =
\f[A =
\begin{bmatrix}
f & 0 & x_{pp} \\
0 & f & y_{pp} \\
@@ -2316,9 +2312,9 @@ inliers that pass the check.
@param points1 Array of N 2D points from the first image. The point coordinates should be
floating-point (single or double precision).
@param points2 Array of the second image points of the same size and format as points1 .
@param cameraMatrix Camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Camera intrinsic matrix \f$\cameramatrix{A}\f$ .
Note that this function assumes that points1 and points2 are feature points from cameras with the
same camera matrix.
same camera intrinsic matrix.
@param R Output rotation matrix. Together with the translation vector, this matrix makes up a tuple
that performs a change of basis from the first camera's coordinate system to the second camera's
coordinate system. Note that, in general, t can not be used for this tuple, see the parameter
@@ -2381,7 +2377,7 @@ are feature points from cameras with same focal length and principal point.
inliers in points1 and points2 for then given essential matrix E. Only these inliers will be used to
recover pose. In the output mask only inliers which pass the cheirality check.
This function differs from the one above that it computes camera matrix from focal length and
This function differs from the one above that it computes camera intrinsic matrix from focal length and
principal point:
\f[A =
@@ -2401,9 +2397,9 @@ CV_EXPORTS_W int recoverPose( InputArray E, InputArray points1, InputArray point
@param points1 Array of N 2D points from the first image. The point coordinates should be
floating-point (single or double precision).
@param points2 Array of the second image points of the same size and format as points1.
@param cameraMatrix Camera matrix \f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ .
@param cameraMatrix Camera intrinsic matrix \f$\cameramatrix{A}\f$ .
Note that this function assumes that points1 and points2 are feature points from cameras with the
same camera matrix.
same camera intrinsic matrix.
@param R Output rotation matrix. Together with the translation vector, this matrix makes up a tuple
that performs a change of basis from the first camera's coordinate system to the second camera's
coordinate system. Note that, in general, t can not be used for this tuple, see the parameter
@@ -2762,7 +2758,7 @@ Check @ref tutorial_homography "the corresponding tutorial" for more details.
/** @brief Decompose a homography matrix to rotation(s), translation(s) and plane normal(s).
@param H The input homography matrix between two images.
@param K The input intrinsic camera calibration matrix.
@param K The input camera intrinsic matrix.
@param rotations Array of rotation matrices.
@param translations Array of translation matrices.
@param normals Array of plane normal matrices.
@@ -3020,8 +3016,8 @@ namespace fisheye
@param imagePoints Output array of image points, 2xN/Nx2 1-channel or 1xN/Nx1 2-channel, or
vector\<Point2f\>.
@param affine
@param K Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}\f$.
@param D Input vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param alpha The skew coefficient.
@param jacobian Optional output 2Nx15 jacobian matrix of derivatives of image points with respect
to components of the focal lengths, coordinates of the principal point, distortion coefficients,
@@ -3044,12 +3040,12 @@ namespace fisheye
@param undistorted Array of object points, 1xN/Nx1 2-channel (or vector\<Point2f\> ), where N is
the number of points in the view.
@param K Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}\f$.
@param D Input vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param alpha The skew coefficient.
@param distorted Output array of image points, 1xN/Nx1 2-channel, or vector\<Point2f\> .
Note that the function assumes the camera matrix of the undistorted points to be identity.
Note that the function assumes the camera intrinsic matrix of the undistorted points to be identity.
This means if you want to transform back points undistorted with undistortPoints() you have to
multiply them with \f$P^{-1}\f$.
*/
@@ -3059,11 +3055,11 @@ namespace fisheye
@param distorted Array of object points, 1xN/Nx1 2-channel (or vector\<Point2f\> ), where N is the
number of points in the view.
@param K Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}\f$.
@param D Input vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param R Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3
1-channel or 1x1 3-channel
@param P New camera matrix (3x3) or new projection matrix (3x4)
@param P New camera intrinsic matrix (3x3) or new projection matrix (3x4)
@param undistorted Output array of image points, 1xN/Nx1 2-channel, or vector\<Point2f\> .
*/
CV_EXPORTS_W void undistortPoints(InputArray distorted, OutputArray undistorted,
@@ -3072,11 +3068,11 @@ namespace fisheye
/** @brief Computes undistortion and rectification maps for image transform by cv::remap(). If D is empty zero
distortion is used, if R or P is empty identity matrixes are used.
@param K Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}\f$.
@param D Input vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param R Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3
1-channel or 1x1 3-channel
@param P New camera matrix (3x3) or new projection matrix (3x4)
@param P New camera intrinsic matrix (3x3) or new projection matrix (3x4)
@param size Undistorted image size.
@param m1type Type of the first output map that can be CV_32FC1 or CV_16SC2 . See convertMaps()
for details.
@@ -3090,9 +3086,9 @@ namespace fisheye
@param distorted image with fisheye lens distortion.
@param undistorted Output image with compensated fisheye lens distortion.
@param K Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}\f$.
@param D Input vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$.
@param Knew Camera matrix of the distorted image. By default, it is the identity matrix but you
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param Knew Camera intrinsic matrix of the distorted image. By default, it is the identity matrix but you
may additionally scale and shift the result by using a different matrix.
@param new_size the new size
@@ -3117,14 +3113,14 @@ namespace fisheye
CV_EXPORTS_W void undistortImage(InputArray distorted, OutputArray undistorted,
InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size());
/** @brief Estimates new camera matrix for undistortion or rectification.
/** @brief Estimates new camera intrinsic matrix for undistortion or rectification.
@param K Camera matrix \f$K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}\f$.
@param K Camera intrinsic matrix \f$cameramatrix{K}\f$.
@param image_size Size of the image
@param D Input vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$.
@param D Input vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param R Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3
1-channel or 1x1 3-channel
@param P New camera matrix (3x3) or new projection matrix (3x4)
@param P New camera intrinsic matrix (3x3) or new projection matrix (3x4)
@param balance Sets the new focal length in range between the min focal length and the max focal
length. Balance is in range of [0, 1].
@param new_size the new size
@@ -3140,12 +3136,12 @@ namespace fisheye
@param imagePoints vector of vectors of the projections of calibration pattern points.
imagePoints.size() and objectPoints.size() and imagePoints[i].size() must be equal to
objectPoints[i].size() for each i.
@param image_size Size of the image used only to initialize the intrinsic camera matrix.
@param K Output 3x3 floating-point camera matrix
\f$A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}\f$ . If
@param image_size Size of the image used only to initialize the camera intrinsic matrix.
@param K Output 3x3 floating-point camera intrinsic matrix
\f$\cameramatrix{A}\f$ . If
fisheye::CALIB_USE_INTRINSIC_GUESS/ is specified, some or all of fx, fy, cx, cy must be
initialized before calling the function.
@param D Output vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$.
@param D Output vector of distortion coefficients \f$\distcoeffsfisheye\f$.
@param rvecs Output vector of rotation vectors (see Rodrigues ) estimated for each pattern view.
That is, each k-th rotation vector together with the corresponding k-th translation vector (see
the next output parameter description) brings the calibration pattern from the model coordinate
@@ -3172,9 +3168,9 @@ optimization. It stays at the center or at a different location specified when C
/** @brief Stereo rectification for fisheye camera model
@param K1 First camera matrix.
@param K1 First camera intrinsic matrix.
@param D1 First camera distortion parameters.
@param K2 Second camera matrix.
@param K2 Second camera intrinsic matrix.
@param D2 Second camera distortion parameters.
@param imageSize Size of the image used for stereo calibration.
@param R Rotation matrix between the coordinate systems of the first and the second
@@ -3211,15 +3207,15 @@ optimization. It stays at the center or at a different location specified when C
observed by the first camera.
@param imagePoints2 Vector of vectors of the projections of the calibration pattern points,
observed by the second camera.
@param K1 Input/output first camera matrix:
@param K1 Input/output first camera intrinsic matrix:
\f$\vecthreethree{f_x^{(j)}}{0}{c_x^{(j)}}{0}{f_y^{(j)}}{c_y^{(j)}}{0}{0}{1}\f$ , \f$j = 0,\, 1\f$ . If
any of fisheye::CALIB_USE_INTRINSIC_GUESS , fisheye::CALIB_FIX_INTRINSIC are specified,
some or all of the matrix components must be initialized.
@param D1 Input/output vector of distortion coefficients \f$(k_1, k_2, k_3, k_4)\f$ of 4 elements.
@param K2 Input/output second camera matrix. The parameter is similar to K1 .
@param D1 Input/output vector of distortion coefficients \f$\distcoeffsfisheye\f$ of 4 elements.
@param K2 Input/output second camera intrinsic matrix. The parameter is similar to K1 .
@param D2 Input/output lens distortion coefficients for the second camera. The parameter is
similar to D1 .
@param imageSize Size of the image used only to initialize intrinsic camera matrix.
@param imageSize Size of the image used only to initialize camera intrinsic matrix.
@param R Output rotation matrix between the 1st and the 2nd camera coordinate systems.
@param T Output translation vector between the coordinate systems of the cameras.
@param flags Different flags that may be zero or a combination of the following values:
+5
View File
@@ -791,6 +791,7 @@ int ChessBoardDetector::orderFoundConnectedQuads(std::vector<ChessBoardQuad*>& q
for (int i = 0; i < 4; i++)
{
CV_DbgAssert(q);
ChessBoardQuad *neighbor = q->neighbors[i];
switch(i) // adjust col, row for this quad
{ // start at top left, go clockwise
@@ -1271,6 +1272,7 @@ int ChessBoardDetector::cleanFoundConnectedQuads(std::vector<ChessBoardQuad*>& q
for (int i = 0; i < quad_count; ++i)
{
ChessBoardQuad *q = quad_group[i];
CV_DbgAssert(q);
for (int j = 0; j < 4; ++j)
{
if (q->neighbors[j] == q0)
@@ -1328,6 +1330,7 @@ void ChessBoardDetector::findConnectedQuads(std::vector<ChessBoardQuad*>& out_gr
stack.pop();
for (int k = 0; k < 4; k++ )
{
CV_DbgAssert(q);
ChessBoardQuad *neighbor = q->neighbors[k];
if (neighbor && neighbor->count > 0 && neighbor->group_idx < 0 )
{
@@ -1716,6 +1719,7 @@ void ChessBoardDetector::findQuadNeighbors()
int k = 0;
for (; k < 4; k++ )
{
CV_DbgAssert(q);
if (!q->neighbors[k])
{
if (normL2Sqr<float>(closest_corner.pt - q->corners[k]->pt) < min_dist)
@@ -2090,6 +2094,7 @@ void drawChessboardCorners( InputOutputArray image, Size patternSize,
return;
Mat corners = _corners.getMat();
const Point2f* corners_data = corners.ptr<Point2f>(0);
CV_DbgAssert(corners_data);
int nelems = corners.checkVector(2, CV_32F, true);
CV_Assert(nelems >= 0);
+10 -4
View File
@@ -978,9 +978,9 @@ CV_IMPL void cvFindExtrinsicCameraParams2( const CvMat* objectPoints,
int i, count;
double a[9], ar[9]={1,0,0,0,1,0,0,0,1}, R[9];
double MM[9], U[9], V[9], W[3];
double MM[9] = { 0 }, U[9] = { 0 }, V[9] = { 0 }, W[3] = { 0 };
cv::Scalar Mc;
double param[6];
double param[6] = { 0 };
CvMat matA = cvMat( 3, 3, CV_64F, a );
CvMat _Ar = cvMat( 3, 3, CV_64F, ar );
CvMat matR = cvMat( 3, 3, CV_64F, R );
@@ -1199,8 +1199,9 @@ CV_IMPL void cvInitIntrinsicParams2D( const CvMat* objectPoints,
CvMat matH = cvMat( 3, 3, CV_64F, H );
CvMat _f = cvMat( 2, 1, CV_64F, f );
assert( CV_MAT_TYPE(npoints->type) == CV_32SC1 &&
CV_IS_MAT_CONT(npoints->type) );
CV_Assert(npoints);
CV_Assert(CV_MAT_TYPE(npoints->type) == CV_32SC1);
CV_Assert(CV_IS_MAT_CONT(npoints->type));
nimages = npoints->rows + npoints->cols - 1;
if( (CV_MAT_TYPE(objectPoints->type) != CV_32FC3 &&
@@ -1221,6 +1222,9 @@ CV_IMPL void cvInitIntrinsicParams2D( const CvMat* objectPoints,
// extract vanishing points in order to obtain initial value for the focal length
for( i = 0, pos = 0; i < nimages; i++, pos += ni )
{
CV_DbgAssert(npoints->data.i);
CV_DbgAssert(matA && matA->data.db);
CV_DbgAssert(_b && _b->data.db);
double* Ap = matA->data.db + i*4;
double* bp = _b->data.db + i*2;
ni = npoints->data.i[i];
@@ -1231,6 +1235,7 @@ CV_IMPL void cvInitIntrinsicParams2D( const CvMat* objectPoints,
cvGetCols( imagePoints, &_m, pos, pos + ni );
cvFindHomography( &matM, &_m, &matH );
CV_DbgAssert(_allH && _allH->data.db);
memcpy( _allH->data.db + i*9, H, sizeof(H) );
H[0] -= H[6]*a[2]; H[1] -= H[7]*a[2]; H[2] -= H[8]*a[2];
@@ -3828,6 +3833,7 @@ static void adjust3rdMatrix(InputArrayOfArrays _imgpt1_0,
double y1_ = 0, y2_ = 0, y1y1_ = 0, y1y2_ = 0;
size_t n = imgpt1.size();
CV_DbgAssert(n > 0);
for( size_t i = 0; i < n; i++ )
{
+17 -5
View File
@@ -29,6 +29,7 @@ static Mat homogeneousInverse(const Mat& T)
// q = sin(theta/2) * v
// theta - rotation angle
// v - unit rotation axis, |v| = 1
// Reference: http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToQuaternion/
static Mat rot2quatMinimal(const Mat& R)
{
CV_Assert(R.type() == CV_64FC1 && R.rows >= 3 && R.cols >= 3);
@@ -44,7 +45,7 @@ static Mat rot2quatMinimal(const Mat& R)
qx = (m21 - m12) / S;
qy = (m02 - m20) / S;
qz = (m10 - m01) / S;
} else if ((m00 > m11)&(m00 > m22)) {
} else if (m00 > m11 && m00 > m22) {
double S = sqrt(1.0 + m00 - m11 - m22) * 2; // S=4*qx
qx = 0.25 * S;
qy = (m01 + m10) / S;
@@ -98,6 +99,7 @@ static Mat quatMinimal2rot(const Mat& q)
//
// q - 4x1 unit quaternion <qw, qx, qy, qz>
// R - 3x3 rotation matrix
// Reference: http://www.euclideanspace.com/maths/geometry/rotations/conversions/matrixToQuaternion/
static Mat rot2quat(const Mat& R)
{
CV_Assert(R.type() == CV_64FC1 && R.rows >= 3 && R.cols >= 3);
@@ -114,7 +116,7 @@ static Mat rot2quat(const Mat& R)
qx = (m21 - m12) / S;
qy = (m02 - m20) / S;
qz = (m10 - m01) / S;
} else if ((m00 > m11)&(m00 > m22)) {
} else if (m00 > m11 && m00 > m22) {
double S = sqrt(1.0 + m00 - m11 - m22) * 2; // S=4*qx
qw = (m21 - m12) / S;
qx = 0.25 * S;
@@ -572,7 +574,11 @@ static void calibrateHandEyeAndreff(const std::vector<Mat>& Hg, const std::vecto
R = R.reshape(1, 2, newSize);
//Eq 15
double det = determinant(R);
R = pow(sign_double(det) / abs(det), 1.0/3.0) * R;
if (std::fabs(det) < FLT_EPSILON)
{
CV_Error(Error::StsNoConv, "calibrateHandEye() with CALIB_HAND_EYE_ANDREFF method: determinant(R) is null");
}
R = cubeRoot(static_cast<float>(sign_double(det) / abs(det))) * R;
Mat w, u, vt;
SVDecomp(R, w, u, vt);
@@ -712,7 +718,10 @@ void calibrateHandEye(InputArrayOfArrays R_gripper2base, InputArrayOfArrays t_gr
{
Mat m = Mat::eye(4, 4, CV_64FC1);
Mat R = m(Rect(0, 0, 3, 3));
R_gripper2base_[i].convertTo(R, CV_64F);
if(R_gripper2base_[i].size() == Size(3, 3))
R_gripper2base_[i].convertTo(R, CV_64F);
else
Rodrigues(R_gripper2base_[i], R);
Mat t = m(Rect(3, 0, 1, 3));
t_gripper2base_[i].convertTo(t, CV_64F);
@@ -727,7 +736,10 @@ void calibrateHandEye(InputArrayOfArrays R_gripper2base, InputArrayOfArrays t_gr
{
Mat m = Mat::eye(4, 4, CV_64FC1);
Mat R = m(Rect(0, 0, 3, 3));
R_target2cam_[i].convertTo(R, CV_64F);
if(R_target2cam_[i].size() == Size(3, 3))
R_target2cam_[i].convertTo(R, CV_64F);
else
Rodrigues(R_target2cam_[i], R);
Mat t = m(Rect(3, 0, 1, 3));
t_target2cam_[i].convertTo(t, CV_64F);
+3
View File
@@ -374,6 +374,9 @@ cv::Mat cv::findHomography( InputArray _points1, InputArray _points2,
return Mat();
convertPointsFromHomogeneous(p, p);
}
// Need at least 4 point correspondences to calculate Homography
if( npoints < 4 )
CV_Error(Error::StsVecLengthErr , "The input arrays should have at least 4 corresponding point sets to calculate Homography");
p.reshape(2, npoints).convertTo(m, CV_32F);
}
+4 -4
View File
@@ -77,18 +77,18 @@ void PoseSolver::solveGeneric(InputArray _objectPoints, InputArray _normalizedIn
OutputArray _Ma, OutputArray _Mb)
{
//argument checking:
size_t n = static_cast<size_t>(_objectPoints.rows() * _objectPoints.cols()); //number of points
size_t n = static_cast<size_t>(_normalizedInputPoints.rows()) * static_cast<size_t>(_normalizedInputPoints.cols()); //number of points
int objType = _objectPoints.type();
int type_input = _normalizedInputPoints.type();
CV_CheckType(objType, objType == CV_32FC3 || objType == CV_64FC3,
"Type of _objectPoints must be CV_32FC3 or CV_64FC3" );
CV_CheckType(type_input, type_input == CV_32FC2 || type_input == CV_64FC2,
"Type of _normalizedInputPoints must be CV_32FC3 or CV_64FC3" );
"Type of _normalizedInputPoints must be CV_32FC2 or CV_64FC2" );
CV_Assert(_objectPoints.rows() == 1 || _objectPoints.cols() == 1);
CV_Assert(_objectPoints.rows() >= 4 || _objectPoints.cols() >= 4);
CV_Assert(_normalizedInputPoints.rows() == 1 || _normalizedInputPoints.cols() == 1);
CV_Assert(static_cast<size_t>(_objectPoints.rows() * _objectPoints.cols()) == n);
CV_Assert(static_cast<size_t>(_objectPoints.rows()) * static_cast<size_t>(_objectPoints.cols()) == n);
Mat normalizedInputPoints;
if (type_input == CV_32FC2)
@@ -101,7 +101,7 @@ void PoseSolver::solveGeneric(InputArray _objectPoints, InputArray _normalizedIn
}
Mat objectInputPoints;
if (type_input == CV_32FC3)
if (objType == CV_32FC3)
{
_objectPoints.getMat().convertTo(objectInputPoints, CV_64F);
}
+10
View File
@@ -48,6 +48,7 @@
#include "ap3p.h"
#include "ippe.hpp"
#include "opencv2/calib3d/calib3d_c.h"
#include <opencv2/core/utils/logger.hpp>
namespace cv
{
@@ -780,6 +781,15 @@ int solvePnPGeneric( InputArray _opoints, InputArray _ipoints,
vector<Mat> vec_rvecs, vec_tvecs;
if (flags == SOLVEPNP_EPNP || flags == SOLVEPNP_DLS || flags == SOLVEPNP_UPNP)
{
if (flags == SOLVEPNP_DLS)
{
CV_LOG_DEBUG(NULL, "Broken implementation for SOLVEPNP_DLS. Fallback to EPnP.");
}
else if (flags == SOLVEPNP_UPNP)
{
CV_LOG_DEBUG(NULL, "Broken implementation for SOLVEPNP_UPNP. Fallback to EPnP.");
}
Mat undistortedPoints;
undistortPoints(ipoints, undistortedPoints, cameraMatrix, distCoeffs);
epnp PnP(cameraMatrix, opoints, undistortedPoints);
@@ -7,6 +7,38 @@
namespace opencv_test { namespace {
static std::string getMethodName(HandEyeCalibrationMethod method)
{
std::string method_name = "";
switch (method)
{
case CALIB_HAND_EYE_TSAI:
method_name = "Tsai";
break;
case CALIB_HAND_EYE_PARK:
method_name = "Park";
break;
case CALIB_HAND_EYE_HORAUD:
method_name = "Horaud";
break;
case CALIB_HAND_EYE_ANDREFF:
method_name = "Andreff";
break;
case CALIB_HAND_EYE_DANIILIDIS:
method_name = "Daniilidis";
break;
default:
break;
}
return method_name;
}
class CV_CalibrateHandEyeTest : public cvtest::BaseTest
{
public:
@@ -48,7 +80,6 @@ protected:
std::vector<Mat> &R_target2cam, std::vector<Mat> &t_target2cam,
bool noise, Mat& R_cam2gripper, Mat& t_cam2gripper);
Mat homogeneousInverse(const Mat& T);
std::string getMethodName(HandEyeCalibrationMethod method);
double sign_double(double val);
double eps_rvec[5];
@@ -317,7 +348,10 @@ void CV_CalibrateHandEyeTest::simulateData(RNG& rng, int nPoses,
t_gripper2base_noise.at<double>(2,0) += rng.gaussian(0.001);
}
R_target2cam.push_back(T_target2cam(Rect(0, 0, 3, 3)));
// test rvec represenation
Mat rvec_target2cam;
cv::Rodrigues(T_target2cam(Rect(0, 0, 3, 3)), rvec_target2cam);
R_target2cam.push_back(rvec_target2cam);
t_target2cam.push_back(T_target2cam(Rect(3, 0, 1, 3)));
}
}
@@ -337,38 +371,6 @@ Mat CV_CalibrateHandEyeTest::homogeneousInverse(const Mat& T)
return Tinv;
}
std::string CV_CalibrateHandEyeTest::getMethodName(HandEyeCalibrationMethod method)
{
std::string method_name = "";
switch (method)
{
case CALIB_HAND_EYE_TSAI:
method_name = "Tsai";
break;
case CALIB_HAND_EYE_PARK:
method_name = "Park";
break;
case CALIB_HAND_EYE_HORAUD:
method_name = "Horaud";
break;
case CALIB_HAND_EYE_ANDREFF:
method_name = "Andreff";
break;
case CALIB_HAND_EYE_DANIILIDIS:
method_name = "Daniilidis";
break;
default:
break;
}
return method_name;
}
double CV_CalibrateHandEyeTest::sign_double(double val)
{
return (0 < val) - (val < 0);
@@ -378,4 +380,86 @@ double CV_CalibrateHandEyeTest::sign_double(double val)
TEST(Calib3d_CalibrateHandEye, regression) { CV_CalibrateHandEyeTest test; test.safe_run(); }
TEST(Calib3d_CalibrateHandEye, regression_17986)
{
const std::string camera_poses_filename = findDataFile("cv/hand_eye_calibration/cali.txt");
const std::string end_effector_poses = findDataFile("cv/hand_eye_calibration/robot_cali.txt");
std::vector<Mat> R_target2cam;
std::vector<Mat> t_target2cam;
// Parse camera poses
{
std::ifstream file(camera_poses_filename.c_str());
ASSERT_TRUE(file.is_open());
int ndata = 0;
file >> ndata;
R_target2cam.reserve(ndata);
t_target2cam.reserve(ndata);
std::string image_name;
Matx33d cameraMatrix;
Matx33d R;
Matx31d t;
Matx16d distCoeffs;
Matx13d distCoeffs2;
while (file >> image_name >>
cameraMatrix(0,0) >> cameraMatrix(0,1) >> cameraMatrix(0,2) >>
cameraMatrix(1,0) >> cameraMatrix(1,1) >> cameraMatrix(1,2) >>
cameraMatrix(2,0) >> cameraMatrix(2,1) >> cameraMatrix(2,2) >>
R(0,0) >> R(0,1) >> R(0,2) >>
R(1,0) >> R(1,1) >> R(1,2) >>
R(2,0) >> R(2,1) >> R(2,2) >>
t(0) >> t(1) >> t(2) >>
distCoeffs(0) >> distCoeffs(1) >> distCoeffs(2) >> distCoeffs(3) >> distCoeffs(4) >>
distCoeffs2(0) >> distCoeffs2(1) >> distCoeffs2(2)) {
R_target2cam.push_back(Mat(R));
t_target2cam.push_back(Mat(t));
}
}
std::vector<Mat> R_gripper2base;
std::vector<Mat> t_gripper2base;
// Parse end-effector poses
{
std::ifstream file(end_effector_poses.c_str());
ASSERT_TRUE(file.is_open());
int ndata = 0;
file >> ndata;
R_gripper2base.reserve(ndata);
t_gripper2base.reserve(ndata);
Matx33d R;
Matx31d t;
Matx14d last_row;
while (file >>
R(0,0) >> R(0,1) >> R(0,2) >> t(0) >>
R(1,0) >> R(1,1) >> R(1,2) >> t(1) >>
R(2,0) >> R(2,1) >> R(2,2) >> t(2) >>
last_row(0) >> last_row(1) >> last_row(2) >> last_row(3)) {
R_gripper2base.push_back(Mat(R));
t_gripper2base.push_back(Mat(t));
}
}
std::vector<HandEyeCalibrationMethod> methods;
methods.push_back(CALIB_HAND_EYE_TSAI);
methods.push_back(CALIB_HAND_EYE_PARK);
methods.push_back(CALIB_HAND_EYE_HORAUD);
methods.push_back(CALIB_HAND_EYE_ANDREFF);
methods.push_back(CALIB_HAND_EYE_DANIILIDIS);
for (size_t idx = 0; idx < methods.size(); idx++) {
SCOPED_TRACE(cv::format("method=%s", getMethodName(methods[idx]).c_str()));
Matx33d R_cam2gripper_est;
Matx31d t_cam2gripper_est;
calibrateHandEye(R_gripper2base, t_gripper2base, R_target2cam, t_target2cam, R_cam2gripper_est, t_cam2gripper_est, methods[idx]);
EXPECT_TRUE(checkRange(R_cam2gripper_est));
EXPECT_TRUE(checkRange(t_cam2gripper_est));
}
}
}} // namespace
+25 -1
View File
@@ -63,6 +63,7 @@ namespace opencv_test { namespace {
#define MESSAGE_RANSAC_DIFF "Reprojection error for current pair of points more than required."
#define MAX_COUNT_OF_POINTS 303
#define MIN_COUNT_OF_POINTS 4
#define COUNT_NORM_TYPES 3
#define METHODS_COUNT 4
@@ -249,7 +250,7 @@ void CV_HomographyTest::print_information_8(int _method, int j, int N, int k, in
void CV_HomographyTest::run(int)
{
for (int N = 4; N <= MAX_COUNT_OF_POINTS; ++N)
for (int N = MIN_COUNT_OF_POINTS; N <= MAX_COUNT_OF_POINTS; ++N)
{
RNG& rng = ts->get_rng();
@@ -711,4 +712,27 @@ TEST(Calib3d_Homography, fromImages)
ASSERT_GE(ninliers1, 80);
}
TEST(Calib3d_Homography, minPoints)
{
float pt1data[] =
{
2.80073029e+002f, 2.39591217e+002f, 2.21912201e+002f, 2.59783997e+002f
};
float pt2data[] =
{
1.84072723e+002f, 1.43591202e+002f, 1.25912483e+002f, 1.63783859e+002f
};
int npoints = (int)(sizeof(pt1data)/sizeof(pt1data[0])/2);
printf("npoints = %d\n", npoints); // npoints = 2
Mat p1(1, npoints, CV_32FC2, pt1data);
Mat p2(1, npoints, CV_32FC2, pt2data);
Mat mask;
// findHomography should raise an error since npoints < MIN_COUNT_OF_POINTS
EXPECT_THROW(findHomography(p1, p2, RANSAC, 0.01, mask), cv::Exception);
}
}} // namespace
+3 -1
View File
@@ -1615,7 +1615,9 @@ elements.
CV_EXPORTS_W bool checkRange(InputArray a, bool quiet = true, CV_OUT Point* pos = 0,
double minVal = -DBL_MAX, double maxVal = DBL_MAX);
/** @brief converts NaN's to the given number
/** @brief converts NaNs to the given number
@param a input/output matrix (CV_32F type).
@param val value to convert the NaNs
*/
CV_EXPORTS_W void patchNaNs(InputOutputArray a, double val = 0);
+1 -1
View File
@@ -63,7 +63,7 @@ struct CheckContext {
#define CV__CHECK_LOCATION_VARNAME(id) CVAUX_CONCAT(CVAUX_CONCAT(__cv_check_, id), __LINE__)
#define CV__DEFINE_CHECK_CONTEXT(id, message, testOp, p1_str, p2_str) \
static const cv::detail::CheckContext CV__CHECK_LOCATION_VARNAME(id) = \
{ CV__CHECK_FUNCTION, CV__CHECK_FILENAME, __LINE__, testOp, message, p1_str, p2_str }
{ CV__CHECK_FUNCTION, CV__CHECK_FILENAME, __LINE__, testOp, "" message, "" p1_str, "" p2_str }
CV_EXPORTS void CV_NORETURN check_failed_auto(const int v1, const int v2, const CheckContext& ctx);
CV_EXPORTS void CV_NORETURN check_failed_auto(const size_t v1, const size_t v2, const CheckContext& ctx);
@@ -101,6 +101,20 @@ namespace cv { namespace cuda
cudaChannelFormatDesc desc = cudaCreateChannelDesc<T>();
cudaSafeCall( cudaBindTexture2D(0, tex, img.ptr(), &desc, img.cols, img.rows, img.step) );
}
template<class T> inline void createTextureObjectPitch2D(cudaTextureObject_t* tex, PtrStepSz<T>& img, const cudaTextureDesc& texDesc)
{
cudaResourceDesc resDesc;
memset(&resDesc, 0, sizeof(resDesc));
resDesc.resType = cudaResourceTypePitch2D;
resDesc.res.pitch2D.devPtr = static_cast<void*>(img.ptr());
resDesc.res.pitch2D.height = img.rows;
resDesc.res.pitch2D.width = img.cols;
resDesc.res.pitch2D.pitchInBytes = img.step;
resDesc.res.pitch2D.desc = cudaCreateChannelDesc<T>();
cudaSafeCall( cudaCreateTextureObject(tex, &resDesc, &texDesc, NULL) );
}
}
}}
@@ -106,8 +106,8 @@ namespace cv
size_t step;
__CV_CUDA_HOST_DEVICE__ T* ptr(int y = 0) { return ( T*)( ( char*)DevPtr<T>::data + y * step); }
__CV_CUDA_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)DevPtr<T>::data + y * step); }
__CV_CUDA_HOST_DEVICE__ T* ptr(int y = 0) { return ( T*)( ( char*)(((DevPtr<T>*)this)->data) + y * step); }
__CV_CUDA_HOST_DEVICE__ const T* ptr(int y = 0) const { return (const T*)( (const char*)(((DevPtr<T>*)this)->data) + y * step); }
__CV_CUDA_HOST_DEVICE__ T& operator ()(int y, int x) { return ptr(y)[x]; }
__CV_CUDA_HOST_DEVICE__ const T& operator ()(int y, int x) const { return ptr(y)[x]; }
+14 -2
View File
@@ -86,12 +86,24 @@ namespace cv { namespace debug_build_guard { } using namespace debug_build_guard
#define __CV_VA_NUM_ARGS_HELPER(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, N, ...) N
#define __CV_VA_NUM_ARGS(...) __CV_VA_NUM_ARGS_HELPER(__VA_ARGS__, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0)
#if defined __GNUC__
#ifdef CV_Func
// keep current value (through OpenCV port file)
#elif defined __GNUC__ || (defined (__cpluscplus) && (__cpluscplus >= 201103))
#define CV_Func __func__
#elif defined __clang__ && (__clang_minor__ * 100 + __clang_major >= 305)
#define CV_Func __func__
#elif defined(__STDC_VERSION__) && (__STDC_VERSION >= 199901)
#define CV_Func __func__
#elif defined _MSC_VER
#define CV_Func __FUNCTION__
#elif defined(__INTEL_COMPILER) && (_INTEL_COMPILER >= 600)
#define CV_Func __FUNCTION__
#elif defined __IBMCPP__ && __IBMCPP__ >=500
#define CV_Func __FUNCTION__
#elif defined __BORLAND__ && (__BORLANDC__ >= 0x550)
#define CV_Func __FUNC__
#else
#define CV_Func ""
#define CV_Func "<unknown>"
#endif
//! @cond IGNORED
+19 -8
View File
@@ -51,25 +51,36 @@
#include "opencv2/core.hpp"
#if EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3 \
&& defined(CV_CXX11) && defined(CV_CXX_STD_ARRAY)
#include <unsupported/Eigen/CXX11/Tensor>
#define OPENCV_EIGEN_TENSOR_SUPPORT
#endif // EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3
#if defined _MSC_VER && _MSC_VER >= 1200
#define NOMINMAX // fix https://github.com/opencv/opencv/issues/17548
#pragma warning( disable: 4714 ) //__forceinline is not inlined
#pragma warning( disable: 4127 ) //conditional expression is constant
#pragma warning( disable: 4244 ) //conversion from '__int64' to 'int', possible loss of data
#endif
#if !defined(OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT)
#if EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3 \
&& defined(CV_CXX11) && defined(CV_CXX_STD_ARRAY)
#include <unsupported/Eigen/CXX11/Tensor>
#define OPENCV_EIGEN_TENSOR_SUPPORT 1
#endif // EIGEN_WORLD_VERSION == 3 && EIGEN_MAJOR_VERSION >= 3
#endif // !defined(OPENCV_DISABLE_EIGEN_TENSOR_SUPPORT)
namespace cv
{
//! @addtogroup core_eigen
/** @addtogroup core_eigen
These functions are provided for OpenCV-Eigen interoperability. They convert `Mat`
objects to corresponding `Eigen::Matrix` objects and vice-versa. Consult the [Eigen
documentation](https://eigen.tuxfamily.org/dox/group__TutorialMatrixClass.html) for
information about the `Matrix` template type.
@note Using these functions requires the `Eigen/Dense` or similar header to be
included before this header.
*/
//! @{
#ifdef OPENCV_EIGEN_TENSOR_SUPPORT
#if defined(OPENCV_EIGEN_TENSOR_SUPPORT) || defined(CV_DOXYGEN)
/** @brief Converts an Eigen::Tensor to a cv::Mat.
The method converts an Eigen::Tensor with shape (H x W x C) to a cv::Mat where:
@@ -82,9 +82,6 @@
# error "Insufficient Cuda Runtime library version, please update it."
# endif
# if defined(CUDA_ARCH_BIN_OR_PTX_10)
# error "OpenCV CUDA module doesn't support NVIDIA compute capability 1.0"
# endif
#endif
//! @cond IGNORED
@@ -7,8 +7,8 @@
#define CV_VERSION_MAJOR 3
#define CV_VERSION_MINOR 4
#define CV_VERSION_REVISION 11
#define CV_VERSION_STATUS "-pre"
#define CV_VERSION_REVISION 12
#define CV_VERSION_STATUS ""
#define CVAUX_STR_EXP(__A) #__A
#define CVAUX_STR(__A) CVAUX_STR_EXP(__A)
+80 -14
View File
@@ -25,9 +25,26 @@ String dumpInputArray(InputArray argument)
break; // done
}
ss << cv::format(" total(-1)=%lld", (long long int)argument.total(-1));
ss << cv::format(" dims(-1)=%d", argument.dims(-1));
Size size = argument.size(-1);
ss << cv::format(" size(-1)=%dx%d", size.width, size.height);
int dims = argument.dims(-1);
ss << cv::format(" dims(-1)=%d", dims);
if (dims <= 2)
{
Size size = argument.size(-1);
ss << cv::format(" size(-1)=%dx%d", size.width, size.height);
}
else
{
int sz[CV_MAX_DIM] = {0};
argument.sizend(sz, -1);
ss << " size(-1)=[";
for (int i = 0; i < dims; i++)
{
if (i > 0)
ss << ' ';
ss << sz[i];
}
ss << "]";
}
ss << " type(-1)=" << cv::typeToString(argument.type(-1));
} while (0);
}
@@ -61,10 +78,26 @@ CV_EXPORTS_W String dumpInputArrayOfArrays(InputArrayOfArrays argument)
if (argument.total(-1) > 0)
{
ss << " type(0)=" << cv::typeToString(argument.type(0));
ss << cv::format(" dims(0)=%d", argument.dims(0));
size = argument.size(0);
ss << cv::format(" size(0)=%dx%d", size.width, size.height);
ss << " type(0)=" << cv::typeToString(argument.type(0));
int dims = argument.dims(0);
ss << cv::format(" dims(0)=%d", dims);
if (dims <= 2)
{
Size size0 = argument.size(0);
ss << cv::format(" size(0)=%dx%d", size0.width, size0.height);
}
else
{
int sz[CV_MAX_DIM] = {0};
argument.sizend(sz, 0);
ss << " size(0)=[";
for (int i = 0; i < dims; i++)
{
if (i > 0)
ss << ' ';
ss << sz[i];
}
ss << "]";
}
}
} while (0);
}
@@ -92,9 +125,26 @@ CV_EXPORTS_W String dumpInputOutputArray(InputOutputArray argument)
break; // done
}
ss << cv::format(" total(-1)=%lld", (long long int)argument.total(-1));
ss << cv::format(" dims(-1)=%d", argument.dims(-1));
Size size = argument.size(-1);
ss << cv::format(" size(-1)=%dx%d", size.width, size.height);
int dims = argument.dims(-1);
ss << cv::format(" dims(-1)=%d", dims);
if (dims <= 2)
{
Size size = argument.size(-1);
ss << cv::format(" size(-1)=%dx%d", size.width, size.height);
}
else
{
int sz[CV_MAX_DIM] = {0};
argument.sizend(sz, -1);
ss << " size(-1)=[";
for (int i = 0; i < dims; i++)
{
if (i > 0)
ss << ' ';
ss << sz[i];
}
ss << "]";
}
ss << " type(-1)=" << cv::typeToString(argument.type(-1));
} while (0);
}
@@ -128,10 +178,26 @@ CV_EXPORTS_W String dumpInputOutputArrayOfArrays(InputOutputArrayOfArrays argume
if (argument.total(-1) > 0)
{
ss << " type(0)=" << cv::typeToString(argument.type(0));
ss << cv::format(" dims(0)=%d", argument.dims(0));
size = argument.size(0);
ss << cv::format(" size(0)=%dx%d", size.width, size.height);
ss << " type(0)=" << cv::typeToString(argument.type(0));
int dims = argument.dims(0);
ss << cv::format(" dims(0)=%d", dims);
if (dims <= 2)
{
Size size0 = argument.size(0);
ss << cv::format(" size(0)=%dx%d", size0.width, size0.height);
}
else
{
int sz[CV_MAX_DIM] = {0};
argument.sizend(sz, 0);
ss << " size(0)=[";
for (int i = 0; i < dims; i++)
{
if (i > 0)
ss << ' ';
ss << sz[i];
}
ss << "]";
}
}
} while (0);
}
+31
View File
@@ -414,6 +414,29 @@ void Mat::copyTo( OutputArray _dst, InputArray _mask ) const
copymask(ptrs[0], 0, ptrs[2], 0, ptrs[1], 0, sz, &esz);
}
static bool can_apply_memset(const Mat &mat, const Scalar &s, int &fill_value)
{
// check if depth is 1 byte.
switch (mat.depth())
{
case CV_8U: fill_value = saturate_cast<uchar>( s.val[0] ); break;
case CV_8S: fill_value = saturate_cast<schar>( s.val[0] ); break;
default: return false;
}
// check if all element is same.
const int64* is = (const int64*)&s.val[0];
switch (mat.channels())
{
case 1: return true;
case 2: return (is[0] == is[1]);
case 3: return (is[0] == is[1] && is[1] == is[2]);
case 4: return (is[0] == is[1] && is[1] == is[2] && is[2] == is[3]);
default: return false;
}
}
Mat& Mat::operator = (const Scalar& s)
{
CV_INSTRUMENT_REGION();
@@ -434,6 +457,14 @@ Mat& Mat::operator = (const Scalar& s)
}
else
{
int fill_value = 0;
if ( can_apply_memset(*this, s, fill_value) )
{
for (size_t i = 0; i < it.nplanes; i++, ++it)
memset(dptr, fill_value, elsize);
return *this;
}
if( it.nplanes > 0 )
{
double scalar[12];
+2 -2
View File
@@ -561,7 +561,7 @@ void cv::cuda::GpuMat::convertTo(OutputArray _dst, int rtype, Stream& stream) co
{convertToNoScale<double, uchar>, convertToNoScale<double, schar>, convertToNoScale<double, ushort>, convertToNoScale<double, short>, convertToNoScale<double, int>, convertToNoScale<double, float>, 0}
};
funcs[sdepth][ddepth](reshape(1), dst.reshape(1), stream);
funcs[sdepth][ddepth](src.reshape(1), dst.reshape(1), stream);
}
void cv::cuda::GpuMat::convertTo(OutputArray _dst, int rtype, double alpha, double beta, Stream& stream) const
@@ -591,7 +591,7 @@ void cv::cuda::GpuMat::convertTo(OutputArray _dst, int rtype, double alpha, doub
{convertToScale<double, uchar>, convertToScale<double, schar>, convertToScale<double, ushort>, convertToScale<double, short>, convertToScale<double, int>, convertToScale<double, float>, convertToScale<double, double>}
};
funcs[sdepth][ddepth](reshape(1), dst.reshape(1), alpha, beta, stream);
funcs[sdepth][ddepth](src.reshape(1), dst.reshape(1), alpha, beta, stream);
}
void cv::cuda::convertFp16(InputArray _src, OutputArray _dst, Stream& stream)
+11 -4
View File
@@ -237,12 +237,19 @@ void setSize( Mat& m, int _dims, const int* _sz, const size_t* _steps, bool auto
if( _steps )
{
if (_steps[i] % esz1 != 0)
if (i < _dims-1)
{
CV_Error(Error::BadStep, "Step must be a multiple of esz1");
}
if (_steps[i] % esz1 != 0)
{
CV_Error_(Error::BadStep, ("Step %zu for dimension %d must be a multiple of esz1 %zu", _steps[i], i, esz1));
}
m.step.p[i] = i < _dims-1 ? _steps[i] : esz;
m.step.p[i] = _steps[i];
}
else
{
m.step.p[i] = esz;
}
}
else if( autoSteps )
{
+8 -6
View File
@@ -1247,6 +1247,7 @@ void _OutputArray::create(int d, const int* sizes, int mtype, int i,
{
CV_Assert( i < 0 );
Mat& m = *(Mat*)obj;
CV_Assert(!(m.empty() && fixedType() && fixedSize()) && "Can't reallocate empty Mat with locked layout (probably due to misused 'const' modifier)");
if (allowTransposed && !m.empty() &&
d == 2 && m.dims == 2 &&
m.type() == mtype && m.rows == sizes[1] && m.cols == sizes[0] &&
@@ -1260,13 +1261,13 @@ void _OutputArray::create(int d, const int* sizes, int mtype, int i,
if(CV_MAT_CN(mtype) == m.channels() && ((1 << CV_MAT_TYPE(flags)) & fixedDepthMask) != 0 )
mtype = m.type();
else
CV_CheckTypeEQ(m.type(), CV_MAT_TYPE(mtype), "");
CV_CheckTypeEQ(m.type(), CV_MAT_TYPE(mtype), "Can't reallocate Mat with locked type (probably due to misused 'const' modifier)");
}
if(fixedSize())
{
CV_CheckEQ(m.dims, d, "");
CV_CheckEQ(m.dims, d, "Can't reallocate Mat with locked size (probably due to misused 'const' modifier)");
for(int j = 0; j < d; ++j)
CV_CheckEQ(m.size[j], sizes[j], "");
CV_CheckEQ(m.size[j], sizes[j], "Can't reallocate Mat with locked size (probably due to misused 'const' modifier)");
}
m.create(d, sizes, mtype);
return;
@@ -1276,6 +1277,7 @@ void _OutputArray::create(int d, const int* sizes, int mtype, int i,
{
CV_Assert( i < 0 );
UMat& m = *(UMat*)obj;
CV_Assert(!(m.empty() && fixedType() && fixedSize()) && "Can't reallocate empty UMat with locked layout (probably due to misused 'const' modifier)");
if (allowTransposed && !m.empty() &&
d == 2 && m.dims == 2 &&
m.type() == mtype && m.rows == sizes[1] && m.cols == sizes[0] &&
@@ -1289,13 +1291,13 @@ void _OutputArray::create(int d, const int* sizes, int mtype, int i,
if(CV_MAT_CN(mtype) == m.channels() && ((1 << CV_MAT_TYPE(flags)) & fixedDepthMask) != 0 )
mtype = m.type();
else
CV_CheckTypeEQ(m.type(), CV_MAT_TYPE(mtype), "");
CV_CheckTypeEQ(m.type(), CV_MAT_TYPE(mtype), "Can't reallocate UMat with locked type (probably due to misused 'const' modifier)");
}
if(fixedSize())
{
CV_CheckEQ(m.dims, d, "");
CV_CheckEQ(m.dims, d, "Can't reallocate UMat with locked size (probably due to misused 'const' modifier)");
for(int j = 0; j < d; ++j)
CV_CheckEQ(m.size[j], sizes[j], "");
CV_CheckEQ(m.size[j], sizes[j], "Can't reallocate UMat with locked size (probably due to misused 'const' modifier)");
}
m.create(d, sizes, mtype);
return;
+47 -106
View File
@@ -40,6 +40,11 @@
//M*/
#include "precomp.hpp"
#ifndef HAVE_OPENCL
#include "ocl_disabled.impl.hpp"
#else // HAVE_OPENCL
#include <list>
#include <map>
#include <deque>
@@ -106,23 +111,7 @@
#include "opencv2/core/opencl/runtime/opencl_clamdblas.hpp"
#include "opencv2/core/opencl/runtime/opencl_clamdfft.hpp"
#ifdef HAVE_OPENCL
#include "opencv2/core/opencl/runtime/opencl_core.hpp"
#else
#if defined(_MSC_VER)
#pragma warning(push)
#pragma warning(disable : 4100)
#pragma warning(disable : 4702)
#elif defined(__clang__)
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wunused-parameter"
#elif defined(__GNUC__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#endif
// TODO FIXIT: This file can't be build without OPENCL
#include "ocl_deprecated.hpp"
#endif // HAVE_OPENCL
#ifdef HAVE_OPENCL_SVM
#include "opencv2/core/opencl/runtime/opencl_svm_20.hpp"
@@ -147,31 +136,6 @@ cv::utils::AllocatorStatisticsInterface& getOpenCLAllocatorStatistics()
return opencl_allocator_stats;
}
#ifndef HAVE_OPENCL
#define CV_OPENCL_NO_SUPPORT() CV_Error(cv::Error::OpenCLApiCallError, "OpenCV build without OpenCL support")
namespace {
struct DummyImpl
{
DummyImpl() { CV_OPENCL_NO_SUPPORT(); }
~DummyImpl() { /* do not throw in desctructors */ }
IMPLEMENT_REFCOUNTABLE();
};
} // namespace
// TODO Replace to empty body (without HAVE_OPENCL)
#define CV_OCL_TRACE_CHECK_RESULT(status, message) /* nothing */
#define CV_OCL_API_ERROR_MSG(check_result, msg) cv::String()
#define CV_OCL_CHECK_RESULT(check_result, msg) (void)check_result
#define CV_OCL_CHECK_(expr, check_result) expr; (void)check_result
#define CV_OCL_CHECK(expr) do { cl_int __cl_result = (expr); CV_OCL_CHECK_RESULT(__cl_result, #expr); } while (0)
#define CV_OCL_DBG_CHECK_RESULT(check_result, msg) (void)check_result
#define CV_OCL_DBG_CHECK_(expr, check_result) expr; (void)check_result
#define CV_OCL_DBG_CHECK(expr) do { cl_int __cl_result = (expr); CV_OCL_CHECK_RESULT(__cl_result, #expr); } while (0)
static const bool CV_OPENCL_DISABLE_BUFFER_RECT_OPERATIONS = false;
#else // HAVE_OPENCL
#ifndef _DEBUG
static bool isRaiseError()
{
@@ -270,7 +234,6 @@ static const String getBuildExtraOptions()
static const bool CV_OPENCL_ENABLE_MEM_USE_HOST_PTR = utils::getConfigurationParameterBool("OPENCV_OPENCL_ENABLE_MEM_USE_HOST_PTR", true);
static const size_t CV_OPENCL_ALIGNMENT_MEM_USE_HOST_PTR = utils::getConfigurationParameterSizeT("OPENCV_OPENCL_ALIGNMENT_MEM_USE_HOST_PTR", 4);
#endif // HAVE_OPENCL
struct UMat2D
{
@@ -331,7 +294,7 @@ static uint64 crc64( const uchar* data, size_t size, uint64 crc0=0 )
return ~crc;
}
#if defined HAVE_OPENCL && OPENCV_HAVE_FILESYSTEM_SUPPORT
#if OPENCV_HAVE_FILESYSTEM_SUPPORT
struct OpenCLBinaryCacheConfigurator
{
cv::String cache_path_;
@@ -872,7 +835,6 @@ static bool g_isOpenCVActivated = false;
bool haveOpenCL()
{
CV_TRACE_FUNCTION();
#ifdef HAVE_OPENCL
static bool g_isOpenCLInitialized = false;
static bool g_isOpenCLAvailable = false;
@@ -902,9 +864,6 @@ bool haveOpenCL()
g_isOpenCLInitialized = true;
}
return g_isOpenCLAvailable;
#else
return false;
#endif
}
bool useOpenCL()
@@ -924,14 +883,12 @@ bool useOpenCL()
return data.useOpenCL > 0;
}
#ifdef HAVE_OPENCL
bool isOpenCLActivated()
{
if (!g_isOpenCVActivated)
return false; // prevent unnecessary OpenCL activation via useOpenCL()->haveOpenCL() calls
return useOpenCL();
}
#endif
void setUseOpenCL(bool flag)
{
@@ -1958,7 +1915,6 @@ static unsigned int getSVMCapabilitiesMask()
} // namespace
#endif
#ifdef HAVE_OPENCL
static size_t getProgramCountLimit()
{
static bool initialized = false;
@@ -1970,7 +1926,6 @@ static size_t getProgramCountLimit()
}
return count;
}
#endif
struct Context::Impl
{
@@ -2800,7 +2755,7 @@ KernelArg KernelArg::Constant(const Mat& m)
struct Kernel::Impl
{
Impl(const char* kname, const Program& prog) :
refcount(1), handle(NULL), isInProgress(false), nu(0)
refcount(1), handle(NULL), isInProgress(false), isAsyncRun(false), nu(0)
{
cl_program ph = (cl_program)prog.ptr();
cl_int retval = 0;
@@ -2877,6 +2832,7 @@ struct Kernel::Impl
enum { MAX_ARRS = 16 };
UMatData* u[MAX_ARRS];
bool isInProgress;
bool isAsyncRun; // true if kernel was scheduled in async mode
int nu;
std::list<Image2D> images;
bool haveTempDstUMats;
@@ -3156,13 +3112,45 @@ bool Kernel::run(int dims, size_t _globalsize[], size_t _localsize[],
}
static bool isRaiseErrorOnReuseAsyncKernel()
{
static bool initialized = false;
static bool value = false;
if (!initialized)
{
value = cv::utils::getConfigurationParameterBool("OPENCV_OPENCL_RAISE_ERROR_REUSE_ASYNC_KERNEL", false);
initialized = true;
}
return value;
}
bool Kernel::Impl::run(int dims, size_t globalsize[], size_t localsize[],
bool sync, int64* timeNS, const Queue& q)
{
CV_INSTRUMENT_REGION_OPENCL_RUN(name.c_str());
if (!handle || isInProgress)
if (!handle)
{
CV_LOG_ERROR(NULL, "OpenCL kernel has zero handle: " << name);
return false;
}
if (isAsyncRun)
{
CV_LOG_ERROR(NULL, "OpenCL kernel can't be reused in async mode: " << name);
if (isRaiseErrorOnReuseAsyncKernel())
CV_Assert(0);
return false; // OpenCV 5.0: raise error
}
isAsyncRun = !sync;
if (isInProgress)
{
CV_LOG_ERROR(NULL, "Previous OpenCL kernel launch is not finished: " << name);
if (isRaiseErrorOnReuseAsyncKernel())
CV_Assert(0);
return false; // OpenCV 5.0: raise error
}
cl_command_queue qq = getQueue(q);
if (haveTempDstUMats)
@@ -3553,8 +3541,6 @@ internal::ProgramEntry::operator ProgramSource&() const
/////////////////////////////////////////// Program /////////////////////////////////////////////
#ifdef HAVE_OPENCL
static
cv::String joinBuildOptions(const cv::String& a, const cv::String& b)
{
@@ -3968,10 +3954,6 @@ struct Program::Impl
String sourceName_;
};
#else // HAVE_OPENCL
struct Program::Impl : public DummyImpl {};
#endif // HAVE_OPENCL
Program::Program() { p = 0; }
@@ -4014,7 +3996,6 @@ bool Program::create(const ProgramSource& src,
p->release();
p = NULL;
}
#ifdef HAVE_OPENCL
p = new Impl(src, buildflags, errmsg);
if(!p->handle)
{
@@ -4022,18 +4003,11 @@ bool Program::create(const ProgramSource& src,
p = 0;
}
return p != 0;
#else
CV_OPENCL_NO_SUPPORT();
#endif
}
void* Program::ptr() const
{
#ifdef HAVE_OPENCL
return p ? p->handle : 0;
#else
CV_OPENCL_NO_SUPPORT();
#endif
}
#ifndef OPENCV_REMOVE_DEPRECATED_API
@@ -4056,44 +4030,30 @@ bool Program::write(String& bin) const
String Program::getPrefix() const
{
#ifdef HAVE_OPENCL
if(!p)
return String();
Context::Impl* ctx_ = Context::getDefault().getImpl();
CV_Assert(ctx_);
return cv::format("opencl=%s\nbuildflags=%s", ctx_->getPrefixString().c_str(), p->buildflags.c_str());
#else
CV_OPENCL_NO_SUPPORT();
#endif
}
String Program::getPrefix(const String& buildflags)
{
#ifdef HAVE_OPENCL
Context::Impl* ctx_ = Context::getDefault().getImpl();
CV_Assert(ctx_);
return cv::format("opencl=%s\nbuildflags=%s", ctx_->getPrefixString().c_str(), buildflags.c_str());
#else
CV_OPENCL_NO_SUPPORT();
#endif
}
#endif
#endif // OPENCV_REMOVE_DEPRECATED_API
void Program::getBinary(std::vector<char>& binary) const
{
#ifdef HAVE_OPENCL
CV_Assert(p && "Empty program");
p->getProgramBinary(binary);
#else
binary.clear();
CV_OPENCL_NO_SUPPORT();
#endif
}
Program Context::Impl::getProg(const ProgramSource& src,
const String& buildflags, String& errmsg)
{
#ifdef HAVE_OPENCL
size_t limit = getProgramCountLimit();
const ProgramSource::Impl* src_ = src.getImpl();
CV_Assert(src_);
@@ -4145,9 +4105,6 @@ Program Context::Impl::getProg(const ProgramSource& src,
cacheList.push_front(key);
}
return prog;
#else
CV_OPENCL_NO_SUPPORT();
#endif
}
@@ -4707,9 +4664,6 @@ public:
bool allocate(UMatData* u, int accessFlags, UMatUsageFlags usageFlags) const CV_OVERRIDE
{
#ifndef HAVE_OPENCL
return false;
#else
if(!u)
return false;
@@ -4828,7 +4782,6 @@ public:
u->markHostCopyObsolete(true);
opencl_allocator_stats.onAllocate(u->size);
return true;
#endif // HAVE_OPENCL
}
/*void sync(UMatData* u) const
@@ -6458,6 +6411,9 @@ struct Image2D::Impl
CV_Error(Error::OpenCLApiCallError, "OpenCL runtime not found!");
cl_context context = (cl_context)Context::getDefault().ptr();
if (!context)
return false;
// Figure out how many formats are supported by this context.
cl_uint numFormats = 0;
cl_int err = clGetSupportedImageFormats(context, CL_MEM_READ_WRITE,
@@ -6696,27 +6652,19 @@ struct Timer::Impl
void start()
{
#ifdef HAVE_OPENCL
CV_OCL_DBG_CHECK(clFinish((cl_command_queue)queue.ptr()));
timer.start();
#endif
}
void stop()
{
#ifdef HAVE_OPENCL
CV_OCL_DBG_CHECK(clFinish((cl_command_queue)queue.ptr()));
timer.stop();
#endif
}
uint64 durationNS() const
{
#ifdef HAVE_OPENCL
return (uint64)(timer.getTimeSec() * 1e9);
#else
return 0;
#endif
}
TickMeter timer;
@@ -6743,13 +6691,6 @@ uint64 Timer::durationNS() const
return p->durationNS();
}
#ifndef HAVE_OPENCL
#if defined(_MSC_VER)
#pragma warning(pop)
#elif defined(__clang__)
#pragma clang diagnostic pop
#elif defined(__GNUC__)
#pragma GCC diagnostic pop
#endif
#endif
}} // namespace
#endif // HAVE_OPENCL
File diff suppressed because it is too large Load Diff
+366
View File
@@ -0,0 +1,366 @@
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "opencv2/core/ocl_genbase.hpp"
#if defined(_MSC_VER)
#pragma warning(push)
#pragma warning(disable : 4100)
#pragma warning(disable : 4702)
#elif defined(__clang__)
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wunused-parameter"
#elif defined(__GNUC__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wunused-parameter"
#endif
namespace cv { namespace ocl {
static
CV_NORETURN void throw_no_ocl()
{
CV_Error(Error::OpenCLApiCallError, "OpenCV build without OpenCL support");
}
#define OCL_NOT_AVAILABLE() throw_no_ocl();
CV_EXPORTS_W bool haveOpenCL() { return false; }
CV_EXPORTS_W bool useOpenCL() { return false; }
CV_EXPORTS_W bool haveAmdBlas() { return false; }
CV_EXPORTS_W bool haveAmdFft() { return false; }
CV_EXPORTS_W void setUseOpenCL(bool flag) { /* nothing */ }
CV_EXPORTS_W void finish() { /* nothing */ }
CV_EXPORTS bool haveSVM() { return false; }
Device::Device() : p(NULL) { }
Device::Device(void* d) : p(NULL) { OCL_NOT_AVAILABLE(); }
Device::Device(const Device& d) : p(NULL) { }
Device& Device::operator=(const Device& d) { return *this; }
Device::~Device() { }
void Device::set(void* d) { OCL_NOT_AVAILABLE(); }
String Device::name() const { OCL_NOT_AVAILABLE(); }
String Device::extensions() const { OCL_NOT_AVAILABLE(); }
bool Device::isExtensionSupported(const String& extensionName) const { OCL_NOT_AVAILABLE(); }
String Device::version() const { OCL_NOT_AVAILABLE(); }
String Device::vendorName() const { OCL_NOT_AVAILABLE(); }
String Device::OpenCL_C_Version() const { OCL_NOT_AVAILABLE(); }
String Device::OpenCLVersion() const { OCL_NOT_AVAILABLE(); }
int Device::deviceVersionMajor() const { OCL_NOT_AVAILABLE(); }
int Device::deviceVersionMinor() const { OCL_NOT_AVAILABLE(); }
String Device::driverVersion() const { OCL_NOT_AVAILABLE(); }
void* Device::ptr() const { /*OCL_NOT_AVAILABLE();*/ return NULL; }
int Device::type() const { OCL_NOT_AVAILABLE(); }
int Device::addressBits() const { OCL_NOT_AVAILABLE(); }
bool Device::available() const { OCL_NOT_AVAILABLE(); }
bool Device::compilerAvailable() const { OCL_NOT_AVAILABLE(); }
bool Device::linkerAvailable() const { OCL_NOT_AVAILABLE(); }
int Device::doubleFPConfig() const { OCL_NOT_AVAILABLE(); }
int Device::singleFPConfig() const { OCL_NOT_AVAILABLE(); }
int Device::halfFPConfig() const { OCL_NOT_AVAILABLE(); }
bool Device::endianLittle() const { OCL_NOT_AVAILABLE(); }
bool Device::errorCorrectionSupport() const { OCL_NOT_AVAILABLE(); }
int Device::executionCapabilities() const { OCL_NOT_AVAILABLE(); }
size_t Device::globalMemCacheSize() const { OCL_NOT_AVAILABLE(); }
int Device::globalMemCacheType() const { OCL_NOT_AVAILABLE(); }
int Device::globalMemCacheLineSize() const { OCL_NOT_AVAILABLE(); }
size_t Device::globalMemSize() const { OCL_NOT_AVAILABLE(); }
size_t Device::localMemSize() const { OCL_NOT_AVAILABLE(); }
int Device::localMemType() const { return NO_LOCAL_MEM; }
bool Device::hostUnifiedMemory() const { OCL_NOT_AVAILABLE(); }
bool Device::imageSupport() const { OCL_NOT_AVAILABLE(); }
bool Device::imageFromBufferSupport() const { OCL_NOT_AVAILABLE(); }
uint Device::imagePitchAlignment() const { OCL_NOT_AVAILABLE(); }
uint Device::imageBaseAddressAlignment() const { OCL_NOT_AVAILABLE(); }
bool Device::intelSubgroupsSupport() const { OCL_NOT_AVAILABLE(); }
size_t Device::image2DMaxWidth() const { OCL_NOT_AVAILABLE(); }
size_t Device::image2DMaxHeight() const { OCL_NOT_AVAILABLE(); }
size_t Device::image3DMaxWidth() const { OCL_NOT_AVAILABLE(); }
size_t Device::image3DMaxHeight() const { OCL_NOT_AVAILABLE(); }
size_t Device::image3DMaxDepth() const { OCL_NOT_AVAILABLE(); }
size_t Device::imageMaxBufferSize() const { OCL_NOT_AVAILABLE(); }
size_t Device::imageMaxArraySize() const { OCL_NOT_AVAILABLE(); }
int Device::vendorID() const { OCL_NOT_AVAILABLE(); }
int Device::maxClockFrequency() const { OCL_NOT_AVAILABLE(); }
int Device::maxComputeUnits() const { OCL_NOT_AVAILABLE(); }
int Device::maxConstantArgs() const { OCL_NOT_AVAILABLE(); }
size_t Device::maxConstantBufferSize() const { OCL_NOT_AVAILABLE(); }
size_t Device::maxMemAllocSize() const { OCL_NOT_AVAILABLE(); }
size_t Device::maxParameterSize() const { OCL_NOT_AVAILABLE(); }
int Device::maxReadImageArgs() const { OCL_NOT_AVAILABLE(); }
int Device::maxWriteImageArgs() const { OCL_NOT_AVAILABLE(); }
int Device::maxSamplers() const { OCL_NOT_AVAILABLE(); }
size_t Device::maxWorkGroupSize() const { OCL_NOT_AVAILABLE(); }
int Device::maxWorkItemDims() const { OCL_NOT_AVAILABLE(); }
void Device::maxWorkItemSizes(size_t*) const { OCL_NOT_AVAILABLE(); }
int Device::memBaseAddrAlign() const { OCL_NOT_AVAILABLE(); }
int Device::nativeVectorWidthChar() const { OCL_NOT_AVAILABLE(); }
int Device::nativeVectorWidthShort() const { OCL_NOT_AVAILABLE(); }
int Device::nativeVectorWidthInt() const { OCL_NOT_AVAILABLE(); }
int Device::nativeVectorWidthLong() const { OCL_NOT_AVAILABLE(); }
int Device::nativeVectorWidthFloat() const { OCL_NOT_AVAILABLE(); }
int Device::nativeVectorWidthDouble() const { OCL_NOT_AVAILABLE(); }
int Device::nativeVectorWidthHalf() const { OCL_NOT_AVAILABLE(); }
int Device::preferredVectorWidthChar() const { OCL_NOT_AVAILABLE(); }
int Device::preferredVectorWidthShort() const { OCL_NOT_AVAILABLE(); }
int Device::preferredVectorWidthInt() const { OCL_NOT_AVAILABLE(); }
int Device::preferredVectorWidthLong() const { OCL_NOT_AVAILABLE(); }
int Device::preferredVectorWidthFloat() const { OCL_NOT_AVAILABLE(); }
int Device::preferredVectorWidthDouble() const { OCL_NOT_AVAILABLE(); }
int Device::preferredVectorWidthHalf() const { OCL_NOT_AVAILABLE(); }
size_t Device::printfBufferSize() const { OCL_NOT_AVAILABLE(); }
size_t Device::profilingTimerResolution() const { OCL_NOT_AVAILABLE(); }
/* static */
const Device& Device::getDefault()
{
static Device dummy;
return dummy;
}
Context::Context() : p(NULL) { }
Context::Context(int dtype) : p(NULL) { }
Context::~Context() { }
Context::Context(const Context& c) : p(NULL) { }
Context& Context::operator=(const Context& c) { return *this; }
bool Context::create() { return false; }
bool Context::create(int dtype) { return false; }
size_t Context::ndevices() const { return 0; }
const Device& Context::device(size_t idx) const { OCL_NOT_AVAILABLE(); }
Program Context::getProg(const ProgramSource& prog, const String& buildopt, String& errmsg) { OCL_NOT_AVAILABLE(); }
void Context::unloadProg(Program& prog) { }
/* static */
Context& Context::getDefault(bool initialize)
{
static Context dummy;
return dummy;
}
void* Context::ptr() const { return NULL; }
bool Context::useSVM() const { return false; }
void Context::setUseSVM(bool enabled) { }
Platform::Platform() : p(NULL) { }
Platform::~Platform() { }
Platform::Platform(const Platform&) : p(NULL) { }
Platform& Platform::operator=(const Platform&) { return *this; }
void* Platform::ptr() const { return NULL; }
/* static */
Platform& Platform::getDefault()
{
static Platform dummy;
return dummy;
}
void attachContext(const String& platformName, void* platformID, void* context, void* deviceID) { OCL_NOT_AVAILABLE(); }
void convertFromBuffer(void* cl_mem_buffer, size_t step, int rows, int cols, int type, UMat& dst) { OCL_NOT_AVAILABLE(); }
void convertFromImage(void* cl_mem_image, UMat& dst) { OCL_NOT_AVAILABLE(); }
void initializeContextFromHandle(Context& ctx, void* platform, void* context, void* device) { OCL_NOT_AVAILABLE(); }
Queue::Queue() : p(NULL) { }
Queue::Queue(const Context& c, const Device& d) : p(NULL) { OCL_NOT_AVAILABLE(); }
Queue::~Queue() { }
Queue::Queue(const Queue& q) {}
Queue& Queue::operator=(const Queue& q) { return *this; }
bool Queue::create(const Context& c, const Device& d) { OCL_NOT_AVAILABLE(); }
void Queue::finish() {}
void* Queue::ptr() const { return NULL; }
/* static */
Queue& Queue::getDefault()
{
static Queue dummy;
return dummy;
}
/// @brief Returns OpenCL command queue with enable profiling mode support
const Queue& Queue::getProfilingQueue() const { OCL_NOT_AVAILABLE(); }
KernelArg::KernelArg()
: flags(0), m(0), obj(0), sz(0), wscale(1), iwscale(1)
{
}
KernelArg::KernelArg(int _flags, UMat* _m, int _wscale, int _iwscale, const void* _obj, size_t _sz)
: flags(_flags), m(_m), obj(_obj), sz(_sz), wscale(_wscale), iwscale(_iwscale)
{
OCL_NOT_AVAILABLE();
}
KernelArg KernelArg::Constant(const Mat& m)
{
OCL_NOT_AVAILABLE();
}
Kernel::Kernel() : p(NULL) { }
Kernel::Kernel(const char* kname, const Program& prog) : p(NULL) { OCL_NOT_AVAILABLE(); }
Kernel::Kernel(const char* kname, const ProgramSource& prog, const String& buildopts, String* errmsg) : p(NULL) { OCL_NOT_AVAILABLE(); }
Kernel::~Kernel() { }
Kernel::Kernel(const Kernel& k) : p(NULL) { }
Kernel& Kernel::operator=(const Kernel& k) { return *this; }
bool Kernel::empty() const { return true; }
bool Kernel::create(const char* kname, const Program& prog) { OCL_NOT_AVAILABLE(); }
bool Kernel::create(const char* kname, const ProgramSource& prog, const String& buildopts, String* errmsg) { OCL_NOT_AVAILABLE(); }
int Kernel::set(int i, const void* value, size_t sz) { OCL_NOT_AVAILABLE(); }
int Kernel::set(int i, const Image2D& image2D) { OCL_NOT_AVAILABLE(); }
int Kernel::set(int i, const UMat& m) { OCL_NOT_AVAILABLE(); }
int Kernel::set(int i, const KernelArg& arg) { OCL_NOT_AVAILABLE(); }
bool Kernel::run(int dims, size_t globalsize[], size_t localsize[], bool sync, const Queue& q) { OCL_NOT_AVAILABLE(); }
bool Kernel::runTask(bool sync, const Queue& q) { OCL_NOT_AVAILABLE(); }
int64 Kernel::runProfiling(int dims, size_t globalsize[], size_t localsize[], const Queue& q) { OCL_NOT_AVAILABLE(); }
size_t Kernel::workGroupSize() const { OCL_NOT_AVAILABLE(); }
size_t Kernel::preferedWorkGroupSizeMultiple() const { OCL_NOT_AVAILABLE(); }
bool Kernel::compileWorkGroupSize(size_t wsz[]) const { OCL_NOT_AVAILABLE(); }
size_t Kernel::localMemSize() const { OCL_NOT_AVAILABLE(); }
void* Kernel::ptr() const { return NULL; }
Program::Program() : p(NULL) { }
Program::Program(const ProgramSource& src, const String& buildflags, String& errmsg) : p(NULL) { OCL_NOT_AVAILABLE(); }
Program::Program(const Program& prog) : p(NULL) { }
Program& Program::operator=(const Program& prog) { return *this; }
Program::~Program() { }
bool Program::create(const ProgramSource& src, const String& buildflags, String& errmsg) { OCL_NOT_AVAILABLE(); }
void* Program::ptr() const { return NULL; }
void Program::getBinary(std::vector<char>& binary) const { OCL_NOT_AVAILABLE(); }
bool Program::read(const String& buf, const String& buildflags) { OCL_NOT_AVAILABLE(); }
bool Program::write(String& buf) const { OCL_NOT_AVAILABLE(); }
const ProgramSource& Program::source() const { OCL_NOT_AVAILABLE(); }
String Program::getPrefix() const { OCL_NOT_AVAILABLE(); }
/* static */ String Program::getPrefix(const String& buildflags) { OCL_NOT_AVAILABLE(); }
ProgramSource::ProgramSource() : p(NULL) { }
ProgramSource::ProgramSource(const String& module, const String& name, const String& codeStr, const String& codeHash) : p(NULL) { }
ProgramSource::ProgramSource(const String& prog) : p(NULL) { }
ProgramSource::ProgramSource(const char* prog) : p(NULL) { }
ProgramSource::~ProgramSource() { }
ProgramSource::ProgramSource(const ProgramSource& prog) : p(NULL) { }
ProgramSource& ProgramSource::operator=(const ProgramSource& prog) { return *this; }
const String& ProgramSource::source() const { OCL_NOT_AVAILABLE(); }
ProgramSource::hash_t ProgramSource::hash() const { OCL_NOT_AVAILABLE(); }
/* static */ ProgramSource ProgramSource::fromBinary(const String& module, const String& name, const unsigned char* binary, const size_t size, const cv::String& buildOptions) { OCL_NOT_AVAILABLE(); }
/* static */ ProgramSource ProgramSource::fromSPIR(const String& module, const String& name, const unsigned char* binary, const size_t size, const cv::String& buildOptions) { OCL_NOT_AVAILABLE(); }
PlatformInfo::PlatformInfo() : p(NULL) { }
PlatformInfo::PlatformInfo(void* id) : p(NULL) { OCL_NOT_AVAILABLE(); }
PlatformInfo::~PlatformInfo() { }
PlatformInfo::PlatformInfo(const PlatformInfo& i) : p(NULL) { }
PlatformInfo& PlatformInfo::operator=(const PlatformInfo& i) { return *this; }
String PlatformInfo::name() const { OCL_NOT_AVAILABLE(); }
String PlatformInfo::vendor() const { OCL_NOT_AVAILABLE(); }
String PlatformInfo::version() const { OCL_NOT_AVAILABLE(); }
int PlatformInfo::deviceNumber() const { OCL_NOT_AVAILABLE(); }
void PlatformInfo::getDevice(Device& device, int d) const { OCL_NOT_AVAILABLE(); }
const char* convertTypeStr(int sdepth, int ddepth, int cn, char* buf) { OCL_NOT_AVAILABLE(); }
const char* typeToStr(int t) { OCL_NOT_AVAILABLE(); }
const char* memopTypeToStr(int t) { OCL_NOT_AVAILABLE(); }
const char* vecopTypeToStr(int t) { OCL_NOT_AVAILABLE(); }
const char* getOpenCLErrorString(int errorCode) { OCL_NOT_AVAILABLE(); }
String kernelToStr(InputArray _kernel, int ddepth, const char* name) { OCL_NOT_AVAILABLE(); }
void getPlatfomsInfo(std::vector<PlatformInfo>& platform_info) { OCL_NOT_AVAILABLE(); }
int predictOptimalVectorWidth(InputArray src1, InputArray src2, InputArray src3,
InputArray src4, InputArray src5, InputArray src6,
InputArray src7, InputArray src8, InputArray src9,
OclVectorStrategy strat)
{ OCL_NOT_AVAILABLE(); }
int checkOptimalVectorWidth(const int *vectorWidths,
InputArray src1, InputArray src2, InputArray src3,
InputArray src4, InputArray src5, InputArray src6,
InputArray src7, InputArray src8, InputArray src9,
OclVectorStrategy strat)
{ OCL_NOT_AVAILABLE(); }
int predictOptimalVectorWidthMax(InputArray src1, InputArray src2, InputArray src3,
InputArray src4, InputArray src5, InputArray src6,
InputArray src7, InputArray src8, InputArray src9)
{ OCL_NOT_AVAILABLE(); }
void buildOptionsAddMatrixDescription(String& buildOptions, const String& name, InputArray _m) { OCL_NOT_AVAILABLE(); }
Image2D::Image2D() : p(NULL) { }
Image2D::Image2D(const UMat &src, bool norm, bool alias) { OCL_NOT_AVAILABLE(); }
Image2D::Image2D(const Image2D & i) : p(NULL) { OCL_NOT_AVAILABLE(); }
Image2D::~Image2D() { }
Image2D& Image2D::operator=(const Image2D & i) { return *this; }
/* static */ bool Image2D::canCreateAlias(const UMat &u) { OCL_NOT_AVAILABLE(); }
/* static */ bool Image2D::isFormatSupported(int depth, int cn, bool norm) { OCL_NOT_AVAILABLE(); }
void* Image2D::ptr() const { return NULL; }
Timer::Timer(const Queue& q) : p(NULL) {}
Timer::~Timer() {}
void Timer::start() { OCL_NOT_AVAILABLE(); }
void Timer::stop() { OCL_NOT_AVAILABLE();}
uint64 Timer::durationNS() const { OCL_NOT_AVAILABLE(); }
MatAllocator* getOpenCLAllocator() { return NULL; }
internal::ProgramEntry::operator ProgramSource&() const { OCL_NOT_AVAILABLE(); }
}}
#if defined(_MSC_VER)
#pragma warning(pop)
#elif defined(__clang__)
#pragma clang diagnostic pop
#elif defined(__GNUC__)
#pragma GCC diagnostic pop
#endif
+2 -1
View File
@@ -54,7 +54,8 @@
#endif
#if defined __linux__ || defined __APPLE__ || defined __GLIBC__ \
|| defined __HAIKU__ || defined __EMSCRIPTEN__ || defined __FreeBSD__
|| defined __HAIKU__ || defined __EMSCRIPTEN__ || defined __FreeBSD__ \
|| defined __OpenBSD__
#include <unistd.h>
#include <stdio.h>
#include <sys/types.h>
+15 -6
View File
@@ -72,13 +72,22 @@ static int64 getTimestamp()
return (int64)((t - g_zero_timestamp) * tick_to_ns);
}
// TODO lazy configuration flags
static bool param_traceEnable = utils::getConfigurationParameterBool("OPENCV_TRACE", false);
static bool getParameterTraceEnable()
{
static bool param_traceEnable = utils::getConfigurationParameterBool("OPENCV_TRACE", false);
return param_traceEnable;
}
// TODO lazy configuration flags
static int param_maxRegionDepthOpenCV = (int)utils::getConfigurationParameterSizeT("OPENCV_TRACE_DEPTH_OPENCV", 1);
static int param_maxRegionChildrenOpenCV = (int)utils::getConfigurationParameterSizeT("OPENCV_TRACE_MAX_CHILDREN_OPENCV", 1000);
static int param_maxRegionChildren = (int)utils::getConfigurationParameterSizeT("OPENCV_TRACE_MAX_CHILDREN", 10000);
static cv::String param_traceLocation = utils::getConfigurationParameterString("OPENCV_TRACE_LOCATION", "OpenCVTrace");
static const cv::String& getParameterTraceLocation()
{
static cv::String param_traceLocation = utils::getConfigurationParameterString("OPENCV_TRACE_LOCATION", "OpenCVTrace");
return param_traceLocation;
}
#ifdef HAVE_OPENCL
static bool param_synchronizeOpenCL = utils::getConfigurationParameterBool("OPENCV_TRACE_SYNC_OPENCL", false);
@@ -809,7 +818,7 @@ TraceStorage* TraceManagerThreadLocal::getStorage() const
TraceStorage* global = getTraceManager().trace_storage.get();
if (global)
{
const std::string filepath = cv::format("%s-%03d.txt", param_traceLocation.c_str(), threadID).c_str();
const std::string filepath = cv::format("%s-%03d.txt", getParameterTraceLocation().c_str(), threadID).c_str();
TraceMessage msg;
const char* pos = strrchr(filepath.c_str(), '/'); // extract filename
#ifdef _WIN32
@@ -841,10 +850,10 @@ TraceManager::TraceManager()
CV_LOG("TraceManager ctor: " << (void*)this);
CV_LOG("TraceManager configure()");
activated = param_traceEnable;
activated = getParameterTraceEnable();
if (activated)
trace_storage.reset(new SyncTraceStorage(std::string(param_traceLocation) + ".txt"));
trace_storage.reset(new SyncTraceStorage(std::string(getParameterTraceLocation()) + ".txt"));
#ifdef OPENCV_WITH_ITT
if (isITTEnabled())
+2 -1
View File
@@ -80,6 +80,7 @@ UMatData::~UMatData()
CV_Assert(mapcount == 0);
data = origdata = 0;
size = 0;
bool isAsyncCleanup = !!(flags & UMatData::ASYNC_CLEANUP);
flags = 0;
handle = 0;
userdata = 0;
@@ -106,7 +107,7 @@ UMatData::~UMatData()
showWarn = true;
if (zero_Ref && zero_URef) // oops, we need to free resources
{
showWarn = true;
showWarn = !isAsyncCleanup;
// simulate UMat::deallocate
u->currAllocator->deallocate(u);
}
+28
View File
@@ -2185,4 +2185,32 @@ TEST(Mat, empty_iterator_16855)
EXPECT_TRUE(m.begin<uchar>() == m.end<uchar>());
}
TEST(Mat, regression_18473)
{
std::vector<int> sizes(3);
sizes[0] = 20;
sizes[1] = 50;
sizes[2] = 100;
#if 1 // with the fix
std::vector<size_t> steps(2);
steps[0] = 50*100*2;
steps[1] = 100*2;
#else // without the fix
std::vector<size_t> steps(3);
steps[0] = 50*100*2;
steps[1] = 100*2;
steps[2] = 2;
#endif
std::vector<short> data(20*50*100, 0); // 1Mb
data[data.size() - 1] = 5;
// param steps Array of ndims-1 steps
Mat m(sizes, CV_16SC1, (void*)data.data(), (const size_t*)steps.data());
ASSERT_FALSE(m.empty());
EXPECT_EQ((int)5, (int)m.at<short>(19, 49, 99));
}
}} // namespace
+24
View File
@@ -1154,6 +1154,30 @@ TEST(UMat, map_unmap_counting)
}
static void process_with_async_cleanup(Mat& frame)
{
UMat blurResult;
{
UMat umat_buffer = frame.getUMat(ACCESS_READ);
cv::blur(umat_buffer, blurResult, Size(3, 3)); // UMat doesn't support inplace, this call is not synchronized
}
Mat result;
blurResult.copyTo(result);
swap(result, frame);
// umat_buffer cleanup is done asynchronously, silence warning about original 'frame' cleanup here (through 'result')
// - release input 'frame' (as 'result')
// - release 'umat_buffer' asynchronously and silence warning about "parent" buffer (in debug builds)
}
TEST(UMat, async_cleanup_without_call_chain_warning)
{
Mat frame(Size(640, 480), CV_8UC1, Scalar::all(128));
for (int i = 0; i < 10; i++)
{
process_with_async_cleanup(frame);
}
}
///////////// oclCleanupCallback threadsafe check (#5062) /////////////////////
// Case 1: reuse of old src Mat in OCL pipe. Hard to catch!
+47 -1
View File
@@ -102,6 +102,34 @@ namespace
cudaSafeCall( cudaDeviceSynchronize() );
}
};
template <int DEPTH> struct NppMirrorIFunc
{
typedef typename NppTypeTraits<DEPTH>::npp_t npp_t;
typedef NppStatus (*func_t)(npp_t* pSrcDst, int nSrcDstStep, NppiSize oROI, NppiAxis flip);
};
template <int DEPTH, typename NppMirrorIFunc<DEPTH>::func_t func> struct NppMirrorI
{
typedef typename NppMirrorIFunc<DEPTH>::npp_t npp_t;
static void call(GpuMat& srcDst, int flipCode, cudaStream_t stream)
{
NppStreamHandler h(stream);
NppiSize sz;
sz.width = srcDst.cols;
sz.height = srcDst.rows;
nppSafeCall( func(srcDst.ptr<npp_t>(), static_cast<int>(srcDst.step),
sz,
(flipCode == 0 ? NPP_HORIZONTAL_AXIS : (flipCode > 0 ? NPP_VERTICAL_AXIS : NPP_BOTH_AXIS))) );
if (stream == 0)
cudaSafeCall( cudaDeviceSynchronize() );
}
};
}
void cv::cuda::flip(InputArray _src, OutputArray _dst, int flipCode, Stream& stream)
@@ -117,6 +145,17 @@ void cv::cuda::flip(InputArray _src, OutputArray _dst, int flipCode, Stream& str
{NppMirror<CV_32F, nppiMirror_32f_C1R>::call, 0, NppMirror<CV_32F, nppiMirror_32f_C3R>::call, NppMirror<CV_32F, nppiMirror_32f_C4R>::call}
};
typedef void (*ifunc_t)(GpuMat& srcDst, int flipCode, cudaStream_t stream);
static const ifunc_t ifuncs[6][4] =
{
{NppMirrorI<CV_8U, nppiMirror_8u_C1IR>::call, 0, NppMirrorI<CV_8U, nppiMirror_8u_C3IR>::call, NppMirrorI<CV_8U, nppiMirror_8u_C4IR>::call},
{0,0,0,0},
{NppMirrorI<CV_16U, nppiMirror_16u_C1IR>::call, 0, NppMirrorI<CV_16U, nppiMirror_16u_C3IR>::call, NppMirrorI<CV_16U, nppiMirror_16u_C4IR>::call},
{0,0,0,0},
{NppMirrorI<CV_32S, nppiMirror_32s_C1IR>::call, 0, NppMirrorI<CV_32S, nppiMirror_32s_C3IR>::call, NppMirrorI<CV_32S, nppiMirror_32s_C4IR>::call},
{NppMirrorI<CV_32F, nppiMirror_32f_C1IR>::call, 0, NppMirrorI<CV_32F, nppiMirror_32f_C3IR>::call, NppMirrorI<CV_32F, nppiMirror_32f_C4IR>::call}
};
GpuMat src = getInputMat(_src, stream);
CV_Assert(src.depth() == CV_8U || src.depth() == CV_16U || src.depth() == CV_32S || src.depth() == CV_32F);
@@ -124,8 +163,15 @@ void cv::cuda::flip(InputArray _src, OutputArray _dst, int flipCode, Stream& str
_dst.create(src.size(), src.type());
GpuMat dst = getOutputMat(_dst, src.size(), src.type(), stream);
bool isInplace = (src.data == dst.data) || (src.refcount == dst.refcount);
bool isSizeOdd = (src.cols & 1) == 1 || (src.rows & 1) == 1;
if (isInplace && isSizeOdd)
CV_Error(Error::BadROISize, "In-place version of flip only accepts even width/height");
funcs[src.depth()][src.channels() - 1](src, dst, flipCode, StreamAccessor::getStream(stream));
if (isInplace == false)
funcs[src.depth()][src.channels() - 1](src, dst, flipCode, StreamAccessor::getStream(stream));
else // in-place
ifuncs[src.depth()][src.channels() - 1](src, flipCode, StreamAccessor::getStream(stream));
syncOutput(dst, _dst, stream);
}
+18
View File
@@ -279,6 +279,24 @@ CUDA_TEST_P(Flip, Accuracy)
EXPECT_MAT_NEAR(dst_gold, dst, 0.0);
}
CUDA_TEST_P(Flip, AccuracyInplace)
{
cv::Mat src = randomMat(size, type);
bool isSizeOdd = ((size.width & 1) == 1) || ((size.height & 1) == 1);
cv::cuda::GpuMat srcDst = loadMat(src, useRoi);
if(isSizeOdd)
{
EXPECT_THROW(cv::cuda::flip(srcDst, srcDst, flip_code), cv::Exception);
return;
}
cv::cuda::flip(srcDst, srcDst, flip_code);
cv::Mat dst_gold;
cv::flip(src, dst_gold, flip_code);
EXPECT_MAT_NEAR(dst_gold, srcDst, 0.0);
}
INSTANTIATE_TEST_CASE_P(CUDA_Arithm, Flip, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
@@ -2778,7 +2778,7 @@ CUDA_TEST_P(PolarToCart, Accuracy)
{
cv::Mat magnitude = randomMat(size, type);
cv::Mat angle = randomMat(size, type);
const double tol = (type == CV_32FC1 ? 1.6e-4 : 1e-4) * (angleInDegrees ? 1.0 : 19.0);
const double tol = (type == CV_32FC1 ? 1.6e-4 : 1e-4) * (angleInDegrees ? 1.0 : 19.47);
cv::cuda::GpuMat x = createMat(size, type, useRoi);
cv::cuda::GpuMat y = createMat(size, type, useRoi);
+59
View File
@@ -320,6 +320,65 @@ CUDA_TEST_P(GpuMat_ConvertTo, WithScaling)
}
}
CUDA_TEST_P(GpuMat_ConvertTo, InplaceWithOutScaling)
{
cv::Mat src = randomMat(size, depth1);
if ((depth1 == CV_64F || depth2 == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
{
try
{
cv::cuda::GpuMat d_srcDst = loadMat(src);
d_srcDst.convertTo(d_srcDst, depth2);
}
catch (const cv::Exception& e)
{
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
}
}
else
{
cv::cuda::GpuMat d_srcDst = loadMat(src, useRoi);
d_srcDst.convertTo(d_srcDst, depth2);
cv::Mat dst_gold;
src.convertTo(dst_gold, depth2);
EXPECT_MAT_NEAR(dst_gold, d_srcDst, depth2 < CV_32F ? 1.0 : 1e-4);
}
}
CUDA_TEST_P(GpuMat_ConvertTo, InplaceWithScaling)
{
cv::Mat src = randomMat(size, depth1);
double a = randomDouble(0.0, 1.0);
double b = randomDouble(-10.0, 10.0);
if ((depth1 == CV_64F || depth2 == CV_64F) && !supportFeature(devInfo, cv::cuda::NATIVE_DOUBLE))
{
try
{
cv::cuda::GpuMat d_srcDst = loadMat(src);
d_srcDst.convertTo(d_srcDst, depth2, a, b);
}
catch (const cv::Exception& e)
{
ASSERT_EQ(cv::Error::StsUnsupportedFormat, e.code);
}
}
else
{
cv::cuda::GpuMat d_srcDst = loadMat(src, useRoi);
d_srcDst.convertTo(d_srcDst, depth2, a, b);
cv::Mat dst_gold;
src.convertTo(dst_gold, depth2, a, b);
EXPECT_MAT_NEAR(dst_gold, d_srcDst, depth2 < CV_32F ? 1.0 : 1e-4);
}
}
INSTANTIATE_TEST_CASE_P(CUDA, GpuMat_ConvertTo, testing::Combine(
ALL_DEVICES,
DIFFERENT_SIZES,
+1 -9
View File
@@ -44,17 +44,9 @@
#ifndef __CUVID_VIDEO_SOURCE_HPP__
#define __CUVID_VIDEO_SOURCE_HPP__
#if CUDA_VERSION >= 9000 && CUDA_VERSION < 10000
#include <dynlink_nvcuvid.h>
#else
#include <nvcuvid.h>
#endif
#include "opencv2/core/private.cuda.hpp"
#include "opencv2/cudacodec.hpp"
#include "video_source.hpp"
namespace cv { namespace cudacodec { namespace detail
{
namespace cv { namespace cudacodec { namespace detail {
class CuvidVideoSource : public VideoSource
{

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