Use universal intrinsics in bayer2gray by FantasqueX · Pull Request #26868 · opencv/opencv

FantasqueX · 2025-02-02T17:44:59Z

I tested this patch on my 14900K desktop with -DCPU_BASELINE=AVX2, performance doesn't go down.

Geometric mean (ms)

                             Name of Test                               old-avx2  avx2      avx2
                                                                                             vs
                                                                                          old-avx2
                                                                                         (x-factor)
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerBG2BGR)      4.325    4.139     1.04
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerBG2BGRA)     4.419    4.393     1.01
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerBG2BGR_VNG) 101.168  101.138    1.00
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerBG2GRAY)     0.950    0.913     1.04
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGB2BGR)      4.085    4.045     1.01
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGB2BGRA)     4.354    4.406     0.99
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGB2BGR_VNG) 102.400  101.853    1.01
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGB2GRAY)     1.083    1.011     1.07
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGR2BGR)      4.346    4.076     1.07
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGR2BGRA)     4.297    4.387     0.98
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGR2BGR_VNG) 102.164  101.412    1.01
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerGR2GRAY)     0.904    0.949     0.95
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerRG2BGR)      4.101    4.131     0.99
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerRG2BGRA)     4.403    4.416     1.00
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerRG2BGR_VNG) 101.669  103.508    0.98
cvtColorBayer8u::Size_CvtMode_Bayer::(7680x4320, COLOR_BayerRG2GRAY)     0.978    0.861     1.14

I also try to use universal intrinsics on aarch64, however, time becomes twice as previous hand-written intrinsics. I'll find out that later.

For this patch, it should optimize the performance on machine with CV_SIMD_SCALABLE.

To make this patch simple, I only modify bayer2gray and leave bayer2bgr, bayer2bgra and bayer2bgr_ea as is.

Related: #25724 #26012

Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

I agree to contribute to the project under Apache 2 License.
To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
The PR is proposed to the proper branch
There is a reference to the original bug report and related work
There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
The feature is well documented and sample code can be built with the project CMake

asmorkalov · 2025-02-03T05:31:32Z

@fengyuentau @hanliutong Could you try it?

hanliutong · 2025-02-03T07:03:08Z

tested on BPI-F3 (Spacemit X60, RVV 1.0)

Unfortunately, it looks like performance has degraded

Geometric mean (ms)

                            Name of Test                               old    new      new    
                                                                                        vs    
                                                                                       old    
                                                                                    (x-factor)
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGRA)     0.084  0.084     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGR_VNG)  1.353  1.343     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2GRAY)     0.039  0.079     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGRA)     0.087  0.087     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGR_VNG)  1.353  1.350     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2GRAY)     0.038  0.079     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGRA)     0.087  0.087     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGR_VNG)  1.351  1.346     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2GRAY)     0.038  0.078     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGRA)     0.084  0.084     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGR_VNG)  1.347  1.339     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2GRAY)     0.038  0.078     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGR)     0.422  0.424     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGRA)    0.768  0.764     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGR_VNG) 61.082 60.863    1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2GRAY)    0.304  0.658     0.46   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGR)     0.419  0.420     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGRA)    0.761  0.754     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGR_VNG) 61.457 60.840    1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2GRAY)    0.305  0.655     0.47   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGR)     0.430  0.429     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGRA)    0.753  0.757     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGR_VNG) 61.409 61.029    1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2GRAY)    0.305  0.660     0.46   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGR)     0.421  0.417     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGRA)    0.759  0.758     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGR_VNG) 61.307 60.980    1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2GRAY)    0.304  0.653     0.47

BTW, @FantasqueX , if you are interested in RISC-V devices, you can get cloud access to a device with RVV 1.0 at https://cloud.spacemit.com/

FantasqueX · 2025-02-03T08:00:46Z

tested on BPI-F3 (Spacemit X60, RVV 1.0)

Unfortunately, it looks like performance has degraded

Geometric mean (ms)

                            Name of Test                               old    new      new    
                                                                                        vs    
                                                                                       old    
                                                                                    (x-factor)
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGRA)     0.084  0.084     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGR_VNG)  1.353  1.343     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2GRAY)     0.039  0.079     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGRA)     0.087  0.087     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGR_VNG)  1.353  1.350     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2GRAY)     0.038  0.079     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGRA)     0.087  0.087     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGR_VNG)  1.351  1.346     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2GRAY)     0.038  0.078     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGR)      0.036  0.036     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGRA)     0.084  0.084     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGR_VNG)  1.347  1.339     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2GRAY)     0.038  0.078     0.49   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGR)     0.422  0.424     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGRA)    0.768  0.764     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGR_VNG) 61.082 60.863    1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2GRAY)    0.304  0.658     0.46   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGR)     0.419  0.420     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGRA)    0.761  0.754     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGR_VNG) 61.457 60.840    1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2GRAY)    0.305  0.655     0.47   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGR)     0.430  0.429     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGRA)    0.753  0.757     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGR_VNG) 61.409 61.029    1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2GRAY)    0.305  0.660     0.46   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGR)     0.421  0.417     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGRA)    0.759  0.758     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGR_VNG) 61.307 60.980    1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2GRAY)    0.304  0.653     0.47

BTW, @FantasqueX , if you are interested in RISC-V devices, you can get cloud access to a device with RVV 1.0 at https://cloud.spacemit.com/

Hi, @hanliutong. Thank you for testing and your advice. I have a P550 board which haven't setup yet. I'll investigate after investigating aarch64 issue.

asmorkalov · 2025-02-24T09:04:22Z

Warnings:

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:129:40: warning: unused parameter 'bayer' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:129:51: warning: unused parameter 'bayer_step' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:129:70: warning: unused parameter 'dst' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:130:24: warning: unused parameter 'width' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:130:35: warning: unused parameter 'bcoeff' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:130:47: warning: unused parameter 'gcoeff' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:130:59: warning: unused parameter 'rcoeff' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:282:32: warning: unused parameter 'bayer' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:282:43: warning: unused parameter 'bayer_step' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:282:62: warning: unused parameter 'dst' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:282:71: warning: unused parameter 'width' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:282:82: warning: unused parameter 'blue' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:417:33: warning: unused parameter 'bayer' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:417:44: warning: unused parameter 'bayer_step' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:417:63: warning: unused parameter 'dst' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:417:72: warning: unused parameter 'width' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:417:83: warning: unused parameter 'blue' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:417:101: warning: unused parameter 'alpha' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:552:35: warning: unused parameter 'bayer' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:552:46: warning: unused parameter 'bayer_step' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:552:65: warning: unused parameter 'dst' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:552:74: warning: unused parameter 'width' [-Wunused-parameter]

/home/ci/opencv/modules/imgproc/src/demosaicing.cpp:552:85: warning: unused parameter 'blue' [-Wunused-parameter]

vpisarev · 2025-03-07T07:00:38Z

@FantasqueX, @hanliutong, the solution for performance regression on RISC-V is to use

#if CV_SIMD
...

instead of

#if CV_SIMD || CV_SIMD_SCALABLE
...

… efficient on RISC-V RVV.

asmorkalov · 2025-03-11T06:53:38Z

No regressions with NEON and RVV now. Desktop performance (AMD Ryzen 7 5700G, Ubuntu 24.04, gcc 13.3):

Geometric mean (ms)

                            Name of Test                              4.x patch  patch  
                                                                                        vs    
                                                                                      4.x   
                                                                                    (x-factor)
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGR)      0.003  0.003     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGRA)     0.003  0.003     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2BGR_VNG)  0.031  0.032     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerBG2GRAY)     0.003  0.002     1.28   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGR)      0.003  0.003     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGRA)     0.003  0.003     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2BGR_VNG)  0.032  0.036     0.87   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGB2GRAY)     0.003  0.002     1.29   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGR)      0.003  0.003     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGRA)     0.003  0.003     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2BGR_VNG)  0.031  0.031     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerGR2GRAY)     0.003  0.002     1.29   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGR)      0.003  0.003     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGRA)     0.003  0.003     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2BGR_VNG)  0.031  0.031     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(127x61, COLOR_BayerRG2GRAY)     0.003  0.002     1.29   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGR)     0.038  0.026     1.46   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGRA)    0.020  0.020     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2BGR_VNG) 1.281  1.277     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerBG2GRAY)    0.024  0.021     1.16   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGR)     0.026  0.023     1.13   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGRA)    0.021  0.020     1.09   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2BGR_VNG) 1.278  1.272     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGB2GRAY)    0.024  0.021     1.13   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGR)     0.023  0.023     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGRA)    0.020  0.020     1.00   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2BGR_VNG) 1.280  1.270     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerGR2GRAY)    0.023  0.022     1.06   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGR)     0.023  0.024     0.95   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGRA)    0.020  0.020     0.99   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2BGR_VNG) 1.287  1.271     1.01   
cvtColorBayer8u::Size_CvtMode_Bayer::(640x480, COLOR_BayerRG2GRAY)    0.021  0.022     0.94

FantasqueX added 2 commits December 21, 2024 23:29

Use universal intrinsics in bayer2Gray

f1a7758

Fix build on RISC-V

d6dc22d

asmorkalov requested review from fengyuentau and mshabunin February 3, 2025 05:30

asmorkalov added optimization category: imgproc labels Feb 3, 2025

Fix bayer2RGB_EA macro

0fa61de

asmorkalov added 3 commits March 7, 2025 11:56

Warning fix.

fbffaa5

Code review fixes.

648424e

Disable CV_SIMD_SCALABLE for demosaicing as the implementation is not…

40843d0

… efficient on RISC-V RVV.

asmorkalov approved these changes Mar 10, 2025

View reviewed changes

asmorkalov merged commit 4bb57ce into opencv:4.x Mar 11, 2025
27 of 28 checks passed

asmorkalov self-assigned this Mar 11, 2025

asmorkalov added this to the 4.12.0 milestone Mar 11, 2025

This was referenced Mar 11, 2025

Warning fix on Windows. #27043

Merged

Add simd256 intrinsics to demosaicing #26012

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5.x merge 4.x #27045

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Use universal intrinsics in bayer2gray#26868
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4 participants

FantasqueX commented Feb 2, 2025 •

edited

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hanliutong commented Feb 3, 2025 •

edited

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asmorkalov commented Mar 11, 2025 •

edited

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