dtt
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Published
20 hours ago •
andrewssobral
andrewssobral
[solved] Support Linux
Great library, I was wondering if you have plans of supporting Ubuntu as well. This could be a good open source project.
@andrewssobral Hi~
Is the library really not supported by Linux?
Tests on my Arch Linux failed though.
Hi @abhinavshaw1993 @shaojunjie0912 sorry for my deplayed reply. Usually it should work with Linux, but I need to check it if there are any issue to fix. I come back to you in the next days.
Hello @abhinavshaw1993 @shaojunjie0912 i just tested on Linux Ubuntu 22.04 and it works fine for me:
andrews@DELL-M4700:~/Projects/dtt$ cat /etc/os-release
PRETTY_NAME="Ubuntu 22.04.4 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.4 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
UBUNTU_CODENAME=jammy
andrews@DELL-M4700:~/Projects/dtt$ cmake -S . -B build -DCMAKE_PREFIX_PATH=$LIBTORCH_HOME
-- The C compiler identification is GNU 11.4.0
-- The CXX compiler identification is GNU 11.4.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting CXX compiler ABI info
-- Detecting CXX compiler ABI info - done
-- Check for working CXX compiler: /usr/bin/c++ - skipped
-- Detecting CXX compile features
-- Detecting CXX compile features - done
-- Found Armadillo: /usr/include (found suitable version "12.8.3", minimum required is "9")
-- Found Torch: /home/andrews/Projects/libs/libtorch/lib/libtorch.so
-- Found OpenCV: /usr (found version "4.5.4")
-- OpenCV library status:
-- version: 4.5.4
-- libraries: opencv_calib3d;opencv_core;opencv_dnn;opencv_features2d;opencv_flann;opencv_highgui;opencv_imgcodecs;opencv_imgproc;opencv_ml;opencv_objdetect;opencv_photo;opencv_stitching;opencv_video;opencv_videoio;opencv_alphamat;opencv_aruco;opencv_barcode;opencv_bgsegm;opencv_bioinspired;opencv_ccalib;opencv_datasets;opencv_dnn_objdetect;opencv_dnn_superres;opencv_dpm;opencv_face;opencv_freetype;opencv_fuzzy;opencv_hdf;opencv_hfs;opencv_img_hash;opencv_intensity_transform;opencv_line_descriptor;opencv_mcc;opencv_optflow;opencv_phase_unwrapping;opencv_plot;opencv_quality;opencv_rapid;opencv_reg;opencv_rgbd;opencv_saliency;opencv_shape;opencv_stereo;opencv_structured_light;opencv_superres;opencv_surface_matching;opencv_text;opencv_tracking;opencv_videostab;opencv_viz;opencv_wechat_qrcode;opencv_ximgproc;opencv_xobjdetect;opencv_xphoto
-- include path: /usr/include/opencv4
-- Configuring done
-- Generating done
-- Build files have been written to: /home/andrews/Projects/dtt/build
andrews@DELL-M4700:~/Projects/dtt$ cmake --build build --config Release
[ 50%] Building CXX object CMakeFiles/dtt_test.dir/test/dtt_test.cpp.o
[100%] Linking CXX executable dtt_test
[100%] Built target dtt_test
andrews@DELL-M4700:~/Projects/dtt$ ./build/dtt_test
Eigen version: 340
Armadillo version: 12.8.3 (Cortisol Injector)
Using OpenCV version 4.5.4
--------------------------------------------------
Testing OpenCV
[-1.6030948e-09, 0.15813506, -0.70092797;
-0.42859599, 1.2387421, -0.27800822;
-0.64839876, 0.30516329, 0.51501459]
--------------------------------------------------
Testing Eigen
3 -1
2.5 1.5
--------------------------------------------------
Testing Armadillo
A:
0.7868 0.9467 0.2513
0.2505 0.0193 0.0227
0.7107 0.4049 0.5206
--------------------------------------------------
Testing ArrayFire
ArrayFire v3.9.0 (CPU, 64-bit Linux, build b59a1ae53)
[0] Intel: Intel(R) Core(TM) i7-3740QM CPU @ 2.70GHzsum: 54.4886
--------------------------------------------------
Testing LibTorch
0.1333 0.9929 0.9439
0.2177 0.2816 0.7952
[ CPUFloatType{2,3} ]
--------------------------------------------------
Testing Eigen to OpenCV (copy 3x3 matrix):
EigenMat:
0.680375 0.59688 -0.329554
-0.211234 0.823295 0.536459
0.566198 -0.604897 -0.444451
cvMat:
[0.68037546, 0.59688008, -0.3295545;
-0.21123415, 0.82329476, 0.53645921;
0.56619847, -0.60489726, -0.44445056]
cvMat:
[0, 0.59688008, -0.3295545;
-0.21123415, 0.82329476, 0.53645921;
0.56619847, -0.60489726, -0.44445056]
EigenMat:
0.680375 0.59688 -0.329554
-0.211234 0.823295 0.536459
0.566198 -0.604897 -0.444451
--------------------------------------------------
Testing Eigen to Armadillo (copy 3x3 matrix):
EigenMat:
0.10794 -0.270431 0.83239
-0.0452059 0.0268018 0.271423
0.257742 0.904459 0.434594
ArmaMat:
0.1079 -0.2704 0.8324
-0.0452 0.0268 0.2714
0.2577 0.9045 0.4346
ArmaMat:
0 -0.2704 0.8324
-0.0452 0.0268 0.2714
0.2577 0.9045 0.4346
EigenMat:
0.10794 -0.270431 0.83239
-0.0452059 0.0268018 0.271423
0.257742 0.904459 0.434594
--------------------------------------------------
Testing Eigen to ArrayFire (copy 3x3 matrix):
EigenMat:
-0.716795 -0.514226 -0.686642
0.213938 -0.725537 -0.198111
-0.967399 0.608353 -0.740419
AfMat:
A
[3 3 1 1]
-0.7168 -0.5142 -0.6866
0.2139 -0.7255 -0.1981
-0.9674 0.6084 -0.7404
AfMat:
A
[3 3 1 1]
0.0000 -0.5142 -0.6866
0.2139 -0.7255 -0.1981
-0.9674 0.6084 -0.7404
EigenMat:
-0.7168 -0.5142 -0.6866
0.2139 -0.7255 -0.1981
-0.9674 0.6084 -0.7404
--------------------------------------------------
Testing Eigen(CM) to LibTorch (copy 3x3 matrix):
EigenMat:
-0.7824 0.02586 -0.4079
0.9978 0.6782 0.2751
-0.5635 0.2253 0.04857
LibTorch:
-0.7824 0.0259 -0.4079
0.9978 0.6782 0.2751
-0.5635 0.2253 0.0486
[ CPUFloatType{3,3} ]
LibTorch:
0.0000 0.0259 -0.4079
0.9978 0.6782 0.2751
-0.5635 0.2253 0.0486
[ CPUFloatType{3,3} ]
EigenMat:
-0.7824 0.02586 -0.4079
0.9978 0.6782 0.2751
-0.5635 0.2253 0.04857
--------------------------------------------------
Testing Eigen(RM) to LibTorch (copy 3x3 matrix):
EigenMat:
1.01 2.02 3.03
4.04 5.051 6.061
7.071 8.081 9.091
LibTorch:
1.0101 2.0202 3.0303
4.0404 5.0505 6.0606
7.0707 8.0808 9.0909
[ CPUFloatType{3,3} ]
LibTorch:
0.0000 2.0202 3.0303
4.0404 5.0505 6.0606
7.0707 8.0808 9.0909
[ CPUFloatType{3,3} ]
EigenMat:
1.01 2.02 3.03
4.04 5.051 6.061
7.071 8.081 9.091
--------------------------------------------------
Testing Eigen(RM) to LibTorch (no-copy 3x3 matrix):
EigenMat:
1.01 2.02 3.03
4.04 5.051 6.061
7.071 8.081 9.091
LibTorch:
1.0101 2.0202 3.0303
4.0404 5.0505 6.0606
7.0707 8.0808 9.0909
[ CPUFloatType{3,3} ]
LibTorch:
0.0000 2.0202 3.0303
4.0404 5.0505 6.0606
7.0707 8.0808 9.0909
[ CPUFloatType{3,3} ]
EigenMat:
0 2.02 3.03
4.04 5.051 6.061
7.071 8.081 9.091
--------------------------------------------------
Testing Armadillo to Eigen (copy 3x3 matrix):
ArmaMat:
0.3447 0.1400 0.8571
0.2742 0.5439 0.4998
0.5610 0.5219 0.4194
EigenMat:
0.3447 0.14 0.8571
0.2742 0.5439 0.4998
0.561 0.5219 0.4194
EigenMat:
0 0.14 0.8571
0.2742 0.5439 0.4998
0.561 0.5219 0.4194
ArmaMat:
0.3447 0.1400 0.8571
0.2742 0.5439 0.4998
0.5610 0.5219 0.4194
--------------------------------------------------
Testing Armadillo to OpenCV (copy 3x3 matrix):
ArmaMat:
0.7443 0.3201 0.2455
0.2492 0.9105 0.1983
0.2393 0.1648 0.7159
cvMat:
[0.74428052, 0.3200649, 0.24553275;
0.24916813, 0.91050082, 0.19831969;
0.23927662, 0.16483298, 0.71589273]
cvMat:
[0, 0.3200649, 0.24553275;
0.24916813, 0.91050082, 0.19831969;
0.23927662, 0.16483298, 0.71589273]
ArmaMat:
0.7443 0.3201 0.2455
0.2492 0.9105 0.1983
0.2393 0.1648 0.7159
--------------------------------------------------
Testing Armadillo to ArrayFire (copy 3x3 matrix):
ArmaMat:
0.9678 0.4599 0.5839
0.7694 0.2573 0.9503
0.0807 0.7770 0.4381
AfMat:
A
[3 3 1 1]
0.9678 0.4599 0.5839
0.7694 0.2573 0.9503
0.0807 0.7770 0.4381
AfMat:
A
[3 3 1 1]
0.9678 0.4599 0.5839
0.7694 0.0000 0.9503
0.0807 0.7770 0.4381
ArmaMat:
0.9678 0.4599 0.5839
0.7694 0.2573 0.9503
0.0807 0.7770 0.4381
--------------------------------------------------
Testing Armadillo to LibTorch (copy 3x3 matrix):
ArmaMat:
0.3223 0.0455 0.0912
0.5324 0.5050 0.9071
0.2564 0.6962 0.0309
LibTorch:
0.3223 0.0455 0.0912
0.5324 0.5050 0.9071
0.2564 0.6962 0.0309
[ CPUFloatType{3,3} ]
LibTorch:
0.0000 0.0455 0.0912
0.5324 0.5050 0.9071
0.2564 0.6962 0.0309
[ CPUFloatType{3,3} ]
ArmaMat:
0.3223 0.0455 0.0912
0.5324 0.5050 0.9071
0.2564 0.6962 0.0309
--------------------------------------------------
Testing OpenCV to Eigen (copy 3x3 matrix):
cvMat:
[-1.1450437, 0.76984555, -0.04643121;
1.3059061, -1.9596839, -1.8992141;
-0.53723824, -0.74828959, 1.8964931]
EigenMat:
-1.145 0.7698 -0.04643
1.306 -1.96 -1.899
-0.5372 -0.7483 1.896
EigenMat:
0 0.7698 -0.04643
1.306 -1.96 -1.899
-0.5372 -0.7483 1.896
cvMat:
[-1.1450437, 0.76984555, -0.04643121;
1.3059061, -1.9596839, -1.8992141;
-0.53723824, -0.74828959, 1.8964931]
--------------------------------------------------
Testing OpenCV to Armadillo (copy 3x3 matrix):
cvMat:
[0.27405041, -1.380205, 1.536549;
-0.78635716, -2.4748602, -1.5479244;
-1.3660194, -0.063247398, 1.35166]
ArmaMat:
0.2741 -1.3802 1.5365
-0.7864 -2.4749 -1.5479
-1.3660 -0.0632 1.3517
ArmaMat:
0 -1.3802 1.5365
-0.7864 -2.4749 -1.5479
-1.3660 -0.0632 1.3517
cvMat:
[0.27405041, -1.380205, 1.536549;
-0.78635716, -2.4748602, -1.5479244;
-1.3660194, -0.063247398, 1.35166]
--------------------------------------------------
Testing OpenCV to ArrayFire (copy 3x3 matrix):
cvMat:
[-0.20089114, -1.2629067, -1.5210054;
0.83297932, -0.6334604, 0.29202414;
-1.6415403, -1.8612988, 0.074599862]
AfMat:
A
[3 3 1 1]
-0.2009 -1.2629 -1.5210
0.8330 -0.6335 0.2920
-1.6415 -1.8613 0.0746
AfMat:
A
[3 3 1 1]
0.0000 -1.2629 -1.5210
0.8330 -0.6335 0.2920
-1.6415 -1.8613 0.0746
cvMat:
[-0.20089114, -1.2629067, -1.5210054;
0.83297932, -0.6334604, 0.29202414;
-1.6415403, -1.8612988, 0.074599862]
--------------------------------------------------
Testing OpenCV to LibTorch (copy 3x3 matrix):
cvMat:
[0.048177242, -0.27772549, -0.15443642;
-0.3687655, 1.0495871, 0.47451678;
-0.10983074, 1.0279955, -0.74734718]
LibTorch:
0.0482 -0.2777 -0.1544
-0.3688 1.0496 0.4745
-0.1098 1.0280 -0.7473
[ CPUFloatType{3,3} ]
LibTorch:
0.0000 -0.2777 -0.1544
-0.3688 1.0496 0.4745
-0.1098 1.0280 -0.7473
[ CPUFloatType{3,3} ]
cvMat:
[0.048177242, -0.27772549, -0.15443642;
-0.3687655, 1.0495871, 0.47451678;
-0.10983074, 1.0279955, -0.74734718]
--------------------------------------------------
Testing OpenCV to LibTorch (no-copy 3x3 matrix):
cvMat:
[-0.60865867, -0.21269958, 1.1613728;
-1.97154, 0.69793731, -0.21648638;
0.098008506, 0.2626977, -0.83743554]
LibTorch:
-0.6087 -0.2127 1.1614
-1.9715 0.6979 -0.2165
0.0980 0.2627 -0.8374
[ CPUFloatType{3,3} ]
LibTorch:
0.0000 -0.2127 1.1614
-1.9715 0.6979 -0.2165
0.0980 0.2627 -0.8374
[ CPUFloatType{3,3} ]
cvMat:
[0, -0.21269958, 1.1613728;
-1.97154, 0.69793731, -0.21648638;
0.098008506, 0.2626977, -0.83743554]
--------------------------------------------------
Testing ArrayFire to Eigen (copy 3x3 matrix):
AfMat:
A
[3 3 1 1]
0.4792 0.8523 0.9730
0.6265 0.5827 0.2184
0.7387 0.3657 0.6659
EigenMat:
0.4792 0.8523 0.973
0.6265 0.5827 0.2184
0.7387 0.3657 0.6659
EigenMat:
0 0.8523 0.973
0.6265 0.5827 0.2184
0.7387 0.3657 0.6659
AfMat:
A
[3 3 1 1]
0.4792 0.8523 0.9730
0.6265 0.5827 0.2184
0.7387 0.3657 0.6659
--------------------------------------------------
Testing ArrayFire to Armadillo (copy 3x3 matrix):
AfMat:
A
[3 3 1 1]
0.3688 0.1266 0.4220
0.2578 0.6511 0.2491
0.3815 0.4507 0.4128
ArmaMat:
0.3688 0.1266 0.4220
0.2578 0.6511 0.2491
0.3815 0.4507 0.4128
ArmaMat:
0 0.1266 0.4220
0.2578 0.6511 0.2491
0.3815 0.4507 0.4128
AfMat:
A
[3 3 1 1]
0.3688 0.1266 0.4220
0.2578 0.6511 0.2491
0.3815 0.4507 0.4128
--------------------------------------------------
Testing ArrayFire to OpenCV (copy 3x3 matrix):
AfMat:
A
[3 3 1 1]
0.7664 0.6913 0.1673
0.8045 0.7821 0.2990
0.8104 0.3054 0.2802
cvMat:
[0.76638222, 0.69128126, 0.16725606;
0.80446917, 0.78207785, 0.29895157;
0.81041062, 0.30535847, 0.28018022]
cvMat:
[0, 0.69128126, 0.16725606;
0.80446917, 0.78207785, 0.29895157;
0.81041062, 0.30535847, 0.28018022]
AfMat:
A
[3 3 1 1]
0.7664 0.6913 0.1673
0.8045 0.7821 0.2990
0.8104 0.3054 0.2802
--------------------------------------------------
Testing ArrayFire to LibTorch (copy 3x3 matrix):
AfMat:
A
[3 3 1 1]
0.1480 0.3014 0.7176
0.1330 0.6938 0.1181
0.4696 0.3513 0.8403
LibTorch:
0.1480 0.3014 0.7176
0.1330 0.6938 0.1181
0.4696 0.3513 0.8403
[ CPUFloatType{3,3} ]
LibTorch:
0.0000 0.3014 0.7176
0.1330 0.6938 0.1181
0.4696 0.3513 0.8403
[ CPUFloatType{3,3} ]
AfMat:
A
[3 3 1 1]
0.1480 0.3014 0.7176
0.1330 0.6938 0.1181
0.4696 0.3513 0.8403
--------------------------------------------------
Testing LibTorch to Eigen (copy 3x3 matrix):
LibTorch:
0.1856 0.8719 0.0410
0.6352 0.9736 0.4295
0.5282 0.1334 0.7348
[ CPUFloatType{3,3} ]
EigenMat:
0.1856 0.8719 0.04104
0.6352 0.9736 0.4295
0.5282 0.1334 0.7348
EigenMat:
0 0.8719 0.04104
0.6352 0.9736 0.4295
0.5282 0.1334 0.7348
LibTorch:
0.1856 0.8719 0.0410
0.6352 0.9736 0.4295
0.5282 0.1334 0.7348
[ CPUFloatType{3,3} ]
--------------------------------------------------
Testing LibTorch to Eigen (no-copy 3x3 matrix):
LibTorch:
0.2439 0.8696 0.4492
0.5461 0.0236 0.6716
0.4140 0.4719 0.2793
[ CPUFloatType{3,3} ]
EigenMat:
0.2439 0.8696 0.4492
0.5461 0.02365 0.6716
0.414 0.4719 0.2793
EigenMat:
0 0.8696 0.4492
0.5461 0.02365 0.6716
0.414 0.4719 0.2793
LibTorch:
0.0000 0.8696 0.4492
0.5461 0.0236 0.6716
0.4140 0.4719 0.2793
[ CPUFloatType{3,3} ]
--------------------------------------------------
Testing LibTorch to Armadillo (copy 3x3 matrix):
LibTorch:
0.3161 0.4803 0.4965
0.6568 0.0581 0.1410
0.2431 0.0689 0.1165
[ CPUFloatType{3,3} ]
ArmaMat:
0.3161 0.4803 0.4965
0.6568 0.0581 0.1410
0.2431 0.0689 0.1165
ArmaMat:
0 0.4803 0.4965
0.6568 0.0581 0.1410
0.2431 0.0689 0.1165
LibTorch:
0.3161 0.4803 0.4965
0.6568 0.0581 0.1410
0.2431 0.0689 0.1165
[ CPUFloatType{3,3} ]
--------------------------------------------------
Testing LibTorch to Armadillo (no-copy 3x3 matrix):
LibTorch:
0.5359 0.8038 0.4289
0.0483 0.7256 0.1893
0.5858 0.9245 0.3381
[ CPUFloatType{3,3} ]
ArmaMat:
0.5359 0.0483 0.5858
0.8038 0.7256 0.9245
0.4289 0.1893 0.3381
>>> Note that ArmaMat is transposed <<<
ArmaMat:
0 0.0483 0.5858
0.8038 0.7256 0.9245
0.4289 0.1893 0.3381
LibTorch:
0.0000 0.8038 0.4289
0.0483 0.7256 0.1893
0.5858 0.9245 0.3381
[ CPUFloatType{3,3} ]
--------------------------------------------------
Testing LibTorch to OpenCV (copy 3x3 matrix):
LibTorch:
0.9345 0.2252 0.8824
0.1589 0.5000 0.2445
0.2817 0.9171 0.0985
[ CPUFloatType{3,3} ]
cvMat:
[0.93447006, 0.22521371, 0.88243121;
0.15889102, 0.49998826, 0.24453849;
0.28167206, 0.91707569, 0.098504484]
cvMat:
[0, 0.22521371, 0.88243121;
0.15889102, 0.49998826, 0.24453849;
0.28167206, 0.91707569, 0.098504484]
LibTorch:
0.9345 0.2252 0.8824
0.1589 0.5000 0.2445
0.2817 0.9171 0.0985
[ CPUFloatType{3,3} ]
--------------------------------------------------
Testing LibTorch to OpenCV (no-copy 3x3 matrix):
LibTorch:
0.8951 0.6749 0.5910
0.4645 0.5869 0.8185
0.3054 0.2436 0.1431
[ CPUFloatType{3,3} ]
cvMat:
[0.89513969, 0.67485064, 0.59103107;
0.46452171, 0.58691603, 0.81848794;
0.30539364, 0.24357843, 0.14314771]
cvMat:
[0, 0.67485064, 0.59103107;
0.46452171, 0.58691603, 0.81848794;
0.30539364, 0.24357843, 0.14314771]
LibTorch:
0.0000 0.6749 0.5910
0.4645 0.5869 0.8185
0.3054 0.2436 0.1431
[ CPUFloatType{3,3} ]
--------------------------------------------------
Testing LibTorch to ArrayFire (copy 3x3 matrix):
LibTorch:
0.3460 0.3067 0.5854
0.4485 0.6905 0.1162
0.0131 0.4890 0.0255
[ CPUFloatType{3,3} ]
AfMat:
A
[3 3 1 1]
0.3460 0.3067 0.5854
0.4485 0.6905 0.1162
0.0131 0.4890 0.0255
AfMat:
A
[3 3 1 1]
0.0000 0.3067 0.5854
0.4485 0.6905 0.1162
0.0131 0.4890 0.0255
LibTorch:
0.3460 0.3067 0.5854
0.4485 0.6905 0.1162
0.0131 0.4890 0.0255
[ CPUFloatType{3,3} ]