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OpenCV 3.1.0, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic

  1. installed opencv 3.1.0 & CUDA 8.0.44 & cuDNN 5.1.5 on GTX 1070 compile success !!

  2. compile test program (tan_triggs algorithm) https://github.com/bytefish/opencv/blob/master/misc/tan_triggs.cpp

  3. ./test aaa.jpg bbb.jpg success !! but too slow , too slow !!! about over 3.0 sec.

what's the problem? (opencv 3.1.0 problem? Linux Kernel Problem? cuda version problem?, GTX 1070 problem? )

and solution?

I tested same program in other machines.


Test 1: opencv 3.1.0 & CUDA 7.5 on Titan X (Maxwell) 0.04 sec (kernel 4.2.0-35-generic ubuntu 14.04)

Test 2: opencv 3.1.0 & CUDA 7.0 on Tital X (Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 3 : opencv 2.4.9 & CUDA 7.0 on Titan X(Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 4: opencv 2.4.7 & no CUDA lib on GTX 1070 0.04 sec (kernel 3.13.0-100-generic ubuntu 14.04)


the time result is belows (in the same machine OpenCV 3.1.0, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic)

-== opencv 2.4.7 (apt-get install ) and no cuda ==-

time ./test aaa.jpg ooo.jpg

real 0m0.042s user 0m0.024s sys 0m0.016s

-== opencv 3.1.0 (source install) and cuda 8.0 ==-

time ./test aaa.jpg bb.jpg

real 0m4.279s user 0m0.012s sys 0m1.744s

Please let me know the reason and solution ....

OpenCV 3.1.0, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic

  1. installed opencv 3.1.0 & CUDA 8.0.44 & cuDNN 5.1.5 on GTX 1070 compile success !!

  2. compile test program (tan_triggs algorithm) https://github.com/bytefish/opencv/blob/master/misc/tan_triggs.cpp

  3. ./test aaa.jpg bbb.jpg success !! but too slow , too slow !!! about over 3.0 sec.

what's the problem? (opencv 3.1.0 problem? Linux Kernel Problem? cuda version problem?, GTX 1070 problem? )

and solution?

I tested same program in other machines.


Test 1: opencv 3.1.0 & CUDA 7.5 on Titan X (Maxwell) 0.04 sec (kernel 4.2.0-35-generic ubuntu 14.04)

Test 2: opencv 3.1.0 & CUDA 7.0 on Tital X (Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 3 : opencv 2.4.9 & CUDA 7.0 on Titan X(Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 4: opencv 2.4.7 & no CUDA lib on GTX 1070 0.04 sec (kernel 3.13.0-100-generic ubuntu 14.04)


the very strange result is below.!!!

the time result on the same machine and different opencv versions is belows (in the same machine machine, OpenCV 3.1.0, 3.1.0 and opencv 2.4.7 version time comparison, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic)

-== opencv 2.4.7 (apt-get install ) and no cuda ==-

time ./test aaa.jpg ooo.jpg

real 0m0.042s user 0m0.024s sys 0m0.016s

-== opencv 3.1.0 (source install) and cuda 8.0 ==-

time ./test aaa.jpg bb.jpg

real 0m4.279s user 0m0.012s sys 0m1.744s

Please let me know the reason and solution ....

OpenCV 3.1.0, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic

the problem summary : independent of CUDA lib. the opencv program became slow when we use opencv 3.1.0 compared to opencv 2.4.X on the same machine!!!

  1. installed opencv 3.1.0 & CUDA 8.0.44 & cuDNN 5.1.5 on GTX 1070 compile success !!

  2. compile test program (tan_triggs algorithm) https://github.com/bytefish/opencv/blob/master/misc/tan_triggs.cpp

  3. ./test aaa.jpg bbb.jpg success !! but too slow , too slow !!! about over 3.0 sec.

what's the problem? (opencv 3.1.0 problem? Linux Kernel Problem? cuda version problem?, GTX 1070 problem? )

and solution?

I tested same program in other machines.


Test 1: opencv 3.1.0 & CUDA 7.5 on Titan X (Maxwell) 0.04 sec (kernel 4.2.0-35-generic ubuntu 14.04)

Test 2: opencv 3.1.0 & CUDA 7.0 on Tital X (Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 3 : opencv 2.4.9 & CUDA 7.0 on Titan X(Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 4: opencv 2.4.7 & no CUDA lib on GTX 1070 0.04 sec (kernel 3.13.0-100-generic ubuntu 14.04)


the very strange result is below.!!!

the time result on the same machine and different opencv versions is belows (in the same machine, OpenCV 3.1.0 and opencv 2.4.7 version time comparison, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic)

-== opencv 2.4.7 (apt-get install ) and no cuda ==-

time ./test aaa.jpg ooo.jpg

real 0m0.042s user 0m0.024s sys 0m0.016s

-== opencv 3.1.0 (source install) and cuda 8.0 ==-

time ./test aaa.jpg bb.jpg

real 0m4.279s user 0m0.012s sys 0m1.744s

Please let me know the reason and solution ....

OpenCV 3.1.0, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic

the problem summary : independent of CUDA lib. the opencv program became slow when we use opencv 3.1.0 compared to opencv 2.4.X on the same machine!!!

  1. installed opencv 3.1.0 & CUDA 8.0.44 & cuDNN 5.1.5 on GTX 1070 compile success !!

  2. compile test program (tan_triggs algorithm) https://github.com/bytefish/opencv/blob/master/misc/tan_triggs.cpp

  3. ./test aaa.jpg bbb.jpg success !! but too slow , too slow !!! about over 3.0 sec.

what's the problem? (opencv 3.1.0 problem? Linux Kernel Problem? cuda version problem?, GTX 1070 problem? )

and solution?

I tested same program in other machines.


Test 1: opencv 3.1.0 & CUDA 7.5 on Titan X (Maxwell) 0.04 sec (kernel 4.2.0-35-generic ubuntu 14.04)

Test 2: opencv 3.1.0 & CUDA 7.0 on Tital X (Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 3 : opencv 2.4.9 & CUDA 7.0 on Titan X(Maxwell) 0.04 sec (kernel 3.19.0-56-generic ubuntu 14.04)

Test 4: opencv 2.4.7 & no CUDA lib on GTX 1070 0.04 sec (kernel 3.13.0-100-generic ubuntu 14.04)


the very strange result is below.!!!

the time result on the same machine and different opencv versions is belows (in the same machine, OpenCV 3.1.0 and opencv 2.4.7 version time comparison, CUDA 8.0.44 , Ubuntu 14.04 kernel 3.13.0-100-generic)

-== opencv 2.4.7 (apt-get install ) and no cuda ==-

time ./test aaa.jpg ooo.jpg

real 0m0.042s user 0m0.024s sys 0m0.016s

-== opencv 3.1.0 (source install) and cuda 8.0 ==-

time ./test aaa.jpg bb.jpg

real 0m4.279s user 0m0.012s sys 0m1.744s

Please let me know the reason and solution ....

I profiled function execution time : so i found pow(X, gamma, I); takes over 2 secs in opencv 3.1.0, and 0.001s in opencv 2.4.X , hmm, but i am not sure the reason ^^