Dmitry Kurtaev
fc32903b28
Merge pull request #24548 from dkurt:qrcode_struct_append_decode
...
QR codes Structured Append decoding mode #24548
### Pull Request Readiness Checklist
resolves https://github.com/opencv/opencv/issues/23245
Merge after https://github.com/opencv/opencv/pull/24299
Current proposal is to use `detectAndDecodeMulti` or `decodeMulti` for structured append mode decoding. 0-th QR code in a sequence gets a full message while the rest of codes will correspond to empty strings.
See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request
- [x] I agree to contribute to the project under Apache 2 License.
- [x] 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
- [x] The PR is proposed to the proper branch
- [x] There is a reference to the original bug report and related work
- [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
Patch to opencv_extra has the same branch name.
- [x] The feature is well documented and sample code can be built with the project CMake
2024-02-01 16:15:14 +03:00
Dmitry Kurtaev
d296d29a1c
Merge pull request #24299 from dkurt:qrcode_decode
...
In-house QR codes decoding #24299
### Pull Request Readiness Checklist
QR codes decoding pipeline without 3rdparty dependency (Quirc library). Implemented according to standard https://github.com/yansikeim/QR-Code/blob/master/ISO%20IEC%2018004%202015%20Standard.pdf
**Merge with extra**: https://github.com/opencv/opencv_extra/pull/1124
resolves https://github.com/opencv/opencv/issues/24225
resolves https://github.com/opencv/opencv/issues/17290
resolves https://github.com/opencv/opencv/issues/24318 https://github.com/opencv/opencv/issues/24346
Resources:
* https://en.wikiversity.org/wiki/Reed%E2%80%93Solomon_codes_for_coders
* https://en.wikipedia.org/wiki/Berlekamp%E2%80%93Massey_algorithm
```
Geometric mean (ms)
Name of Test quirc new2 new2
vs
quirc
(x-factor)
decode::Perf_Objdetect_Not_QRCode::("chessboard", 640x480) 9.151 9.157 1.00
decode::Perf_Objdetect_Not_QRCode::("chessboard", 1280x720) 21.609 21.609 1.00
decode::Perf_Objdetect_Not_QRCode::("chessboard", 1920x1080) 42.088 41.924 1.00
decode::Perf_Objdetect_Not_QRCode::("chessboard", 3840x2160) 169.737 169.050 1.00
decode::Perf_Objdetect_Not_QRCode::("random", 640x480) 8.552 8.611 0.99
decode::Perf_Objdetect_Not_QRCode::("random", 1280x720) 21.264 21.581 0.99
decode::Perf_Objdetect_Not_QRCode::("random", 1920x1080) 42.415 43.468 0.98
decode::Perf_Objdetect_Not_QRCode::("random", 3840x2160) 175.003 174.294 1.00
decode::Perf_Objdetect_Not_QRCode::("zero", 640x480) 8.528 8.421 1.01
decode::Perf_Objdetect_Not_QRCode::("zero", 1280x720) 21.548 21.209 1.02
decode::Perf_Objdetect_Not_QRCode::("zero", 1920x1080) 42.581 42.529 1.00
decode::Perf_Objdetect_Not_QRCode::("zero", 3840x2160) 176.231 174.410 1.01
decode::Perf_Objdetect_QRCode::"kanji.jpg" 6.105 6.072 1.01
decode::Perf_Objdetect_QRCode::"link_github_ocv.jpg" 6.069 6.076 1.00
decode::Perf_Objdetect_QRCode::"link_ocv.jpg" 6.143 6.240 0.98
decode::Perf_Objdetect_QRCode::"link_wiki_cv.jpg" 6.369 6.420 0.99
decode::Perf_Objdetect_QRCode::"russian.jpg" 6.558 6.549 1.00
decode::Perf_Objdetect_QRCode::"version_1_down.jpg" 5.634 5.621 1.00
decode::Perf_Objdetect_QRCode::"version_1_left.jpg" 5.560 5.609 0.99
decode::Perf_Objdetect_QRCode::"version_1_right.jpg" 5.539 5.631 0.98
decode::Perf_Objdetect_QRCode::"version_1_top.jpg" 5.622 5.566 1.01
decode::Perf_Objdetect_QRCode::"version_1_up.jpg" 5.569 5.534 1.01
decode::Perf_Objdetect_QRCode::"version_5_down.jpg" 6.514 6.436 1.01
decode::Perf_Objdetect_QRCode::"version_5_left.jpg" 6.668 6.479 1.03
decode::Perf_Objdetect_QRCode::"version_5_top.jpg" 6.481 6.484 1.00
decode::Perf_Objdetect_QRCode::"version_5_up.jpg" 7.011 6.513 1.08
decodeMulti::Perf_Objdetect_QRCode_Multi::("2_qrcodes.png", "aruco_based") 14.885 15.089 0.99
decodeMulti::Perf_Objdetect_QRCode_Multi::("2_qrcodes.png", "contours_based") 14.896 14.906 1.00
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_close_qrcodes.png", "aruco_based") 6.661 6.663 1.00
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_close_qrcodes.png", "contours_based") 6.614 6.592 1.00
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_qrcodes.png", "aruco_based") 14.814 14.592 1.02
decodeMulti::Perf_Objdetect_QRCode_Multi::("3_qrcodes.png", "contours_based") 15.245 15.135 1.01
decodeMulti::Perf_Objdetect_QRCode_Multi::("4_qrcodes.png", "aruco_based") 10.923 10.881 1.00
decodeMulti::Perf_Objdetect_QRCode_Multi::("4_qrcodes.png", "contours_based") 10.680 10.128 1.05
decodeMulti::Perf_Objdetect_QRCode_Multi::("5_qrcodes.png", "contours_based") 11.788 11.576 1.02
decodeMulti::Perf_Objdetect_QRCode_Multi::("6_qrcodes.png", "aruco_based") 25.887 25.979 1.00
decodeMulti::Perf_Objdetect_QRCode_Multi::("6_qrcodes.png", "contours_based") 26.183 25.627 1.02
decodeMulti::Perf_Objdetect_QRCode_Multi::("7_qrcodes.png", "aruco_based") 32.786 32.253 1.02
decodeMulti::Perf_Objdetect_QRCode_Multi::("7_qrcodes.png", "contours_based") 24.290 24.435 0.99
decodeMulti::Perf_Objdetect_QRCode_Multi::("8_close_qrcodes.png", "aruco_based") 89.696 89.247 1.01
decodeMulti::Perf_Objdetect_QRCode_Multi::("8_close_qrcodes.png", "contours_based") 89.872 89.600 1.00
```
2023-11-24 11:35:36 +03:00
Dmitry Kurtaev
Alex