Dependencies versions conflict about sobfu HOT 21 OPEN

Hi @dgrzech, Thank you so much. Now I have successfully run this project. The thing is I need to modify this line from the CMakeList according to my GPU. The setting for some GPU can be found here. I also write a summary on how I installed the dependencies here.

Thanks a lot for your help.

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i just looked and i've boost 1.65.1 on my system. sorry for them mess--i'll try and clean up the cmake files when i have time. let me know if building with this version of boost works

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Thanks for your response! I rebuilt PCL1.8.1 with boost 1.65.1 and Eigen 3.3.6 and which solved the CUDACC_VER error, and I successfully compiled your code. However when I tried to run ./build/bin/app I got a new boost error:

Device 0: "GeForce GTX 1070" 8116Mb, sm_61, 1920 cores, Driver/Runtime ver.10.10/9.0
terminate called after throwing an instance of 'boost::exception_detail::clone_impl<boost::exception_detail::error_info_injectorboost::bad_any_cast
what(): boost::bad_any_cast: failed conversion using boost::any_cast
Aborted (core dumped)

Do you have any idea about its reason ?

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Thanks a lot! I didn't release that I should have specified a parameter .ini file in the command line. What I did was just ./build/bin/app ./data/umbrella/ ./params/
Now I'm using the umbrella data with your umbrella parameter and it run well before my Ubuntu(installed on an external SSD) crashed LOL

So I put here my building dependencies hoping that can help you or someone else :)
Nvidia GTX1070

CUDA 9.0 (didn't try PCL 1.8.1 with CUDA10.0 or CUDA 10.1 but for now PCL 1.9.1 seems to have some incompatibility issues with CUDA 10, I didn't figure out how to solve PCL 1.8.1's 'compute_20' issue until I passed on CUDA 9.0)

PCL 1.8.1 with Eigen3.3.6 and Boost1.65.1 (for Eigen3 didn't fix all its incompatibilities with CUDA 9.0 until this version)

I think it's wise to use PCL 1.8.1 EXACT since PCL passed on C++14 from 1.9 version which makes compiling your code more complicated.

Boost 1.65.1 (for the CUDACC_VER issue was fixed from this version), note that EIgen3 also had the same CUDACC_VER issue which was fixed from 3.3.5 BUT 3.3.5 still had some incompatibilities with CUDA 9.0, it's unusable for compiling your code (Yep I have gone through all these :( )

OpenCV 3.4.3 for personal preferences

VTK-6.3.0 for no reason, but apparently VTK-6 has a definition issue when using CMAKE, I will put on my solution when I reboot that Ubuntu system

And finally which might be the most important I used an entirely new Ubuntu 16.04

Very grateful for your great job anyway !

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Hi @PascalYIN Thank you so much for your summary!!. I successfully compiled the code based on your suggestion. May I ask you where did you download the umbrella data?

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@YanhaoZhang It's a pleasure that it helps. For the umbrella data set please check mihaibujanca/dynamicfusion#59 (comment)

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@PascalYIN Thank you so much for your prompt reply! I have downloaded the data.

@dgrzech @PascalYIN I got an error when running the code.

Device 0: "GeForce GT 620M" 964Mb, sm_21, 96 cores, Driver/Runtime ver.9.0/9.0
--- FRAME NO. 0 ---
error: invalid device function /home/yanhao/sobfu-master/src/kfusion/cuda/imgproc.cu:49

May I ask you if you know what may cause this issue? Currently I am using Ubuntu 16.04, and the dependencies are: CUDA-9.0, PCL-1.8.1, Eigen-3.3.6, Boost-1.65.1, OpenCV-3.4.3, and VTK-7.1.1.

@PascalYIN I am using vtk-7.1.1 because there is an error when I compile vtk 6.3.0. May I ask you how did you solve this? Besides, may I also ask you what version of qt are you using? Thanks a lot.

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Hi @PascalYIN I used another laptop and still got an error when running this code. May I ask you did you just put two empty folder in the umbrella data as following? But I got an error saying 'Segmentation fault (core dumped)'.

Here is the steps on how I installed the dependencies. I am wondering if you could have a quick look and let me know if I did something wrong or different from what you did when you have time? Since I did not successfully compiled vtk-6.3.0, I used vtk-7.1.1.

Thank you so much:)

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@YanhaoZhang Sorry that I didn't respond your earlier message. I just tried checking my compiling record, but found out that I can't log in my account anymore LOL... However I managed to verify where to put the RGB and Depth images : I put all RGB images inside the "color" folder and all Depth images inside the "depth" folder. Hope that helps, yet I think that I never came across a such problem. It's been a while since I stopped working with this project.

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@PascalYIN Thanks for replying me. Sorry to hear that you could not log in your account. I also tried to put RGB and Depth inside the corresponding folder, and still got different error as following. I will try to see if I can solve it. The first one is the error with colorIntrinsics.txt and **** inside corresponding folder, and the second one is the error with that txt file outside "color" and "depth" folder.

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@YanhaoZhang this error is cuda-related. i’m afraid that you’ll need a gpu with sm_61 or higher to run the code

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@dgrzech Got it. Thank you so much for your prompt reply. Currently I am using a laptop with GeForce GTX 960M with 4 GB memory. I will try this project on another desktop with a more powerful GPU later.

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Hi @dgrzech, Thank you so much. Now I have successfully run this project. The thing is I need to modify this line from the CMakeList according to my GPU. The setting for some GPU can be found here. I also write a summary on how I installed the dependencies here.
Thanks a lot for your help.

Hi @YanhaoZhang, Thanks for the summary. How much gpu memory does it consume? Does a NVIDIA GPU like GTX1060 with 6GB memory suffice to deal with these 640X480 images?

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Hi @dgrzech, Thank you so much. Now I have successfully run this project. The thing is I need to modify this line from the CMakeList according to my GPU. The setting for some GPU can be found here. I also write a summary on how I installed the dependencies here.
Thanks a lot for your help.

Hi @YanhaoZhang, Thanks for the summary. How much gpu memory does it consume? Does a NVIDIA GPU like GTX1060 with 6GB memory suffice to deal with these 640X480 images?

Hi @plutoyuxie, The GPU I am using is GeForce GTX 960M with 4GB memory. I think your NVIDIA GPU can deal with the default images. However I did not test it with other datasets.

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@YanhaoZhang Thanks for your contributions and I follow your instructions, but unluckily, I get:
UILD__ instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
/usr/local/cuda-9.0/include/crt/common_functions.h:64:24: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
In file included from /usr/local/cuda-9.0/include/common_functions.h:50:0,
from /usr/local/cuda-9.0/include/cuda_runtime.h:115,
from :0:
/usr/local/cuda-9.0/include/crt/common_functions.h:64:24: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
In file included from /usr/local/cuda-9.0/include/common_functions.h:50:0,
from /usr/local/cuda-9.0/include/cuda_runtime.h:115,
from :0:
/usr/local/cuda-9.0/include/crt/common_functions.h:64:24: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
/usr/local/cuda-9.0/include/crt/common_functions.h:64:24: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
In file included from /usr/local/cuda-9.0/include/common_functions.h:50:0,
from /usr/local/cuda-9.0/include/cuda_runtime.h:115,
from :0:
/usr/local/cuda-9.0/include/crt/common_functions.h:64:24: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
/usr/local/cuda-9.0/include/crt/common_functions.h:64:24: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
/usr/local/cuda-9.0/include/crt/common_functions.h:64:24: error: token ""CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."" is not valid in preprocessor expressions
#define CUDACC_VER "CUDACC_VER is no longer supported. Use CUDACC_VER_MAJOR, CUDACC_VER_MINOR, and CUDACC_VER_BUILD instead."
^
CMake Error at kfusion_generated_proj_icp.cu.o.cmake:226 (message):
Error generating
/home/dms/miaoweiw/sobfu-master/build/src/kfusion/CMakeFiles/kfusion.dir/cuda/./kfusion_generated_proj_icp.cu.o

CMake Error at kfusion_generated_imgproc.cu.o.cmake:226 (message):
Error generating
/home/dms/miaoweiw/sobfu-master/build/src/kfusion/CMakeFiles/kfusion.dir/cuda/./kfusion_generated_imgproc.cu.o

src/kfusion/CMakeFiles/kfusion.dir/build.make:77: recipe for target 'src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_proj_icp.cu.o' failed
make[2]: *** [src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_proj_icp.cu.o] Error 1
make[2]: *** Waiting for unfinished jobs....
src/kfusion/CMakeFiles/kfusion.dir/build.make:63: recipe for target 'src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_imgproc.cu.o' failed
make[2]: *** [src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_imgproc.cu.o] Error 1
CMake Error at kfusion_generated_marching_cubes.cu.o.cmake:226 (message):
Error generating
/home/dms/miaoweiw/sobfu-master/build/src/kfusion/CMakeFiles/kfusion.dir/cuda/./kfusion_generated_marching_cubes.cu.o

src/kfusion/CMakeFiles/kfusion.dir/build.make:70: recipe for target 'src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_marching_cubes.cu.o' failed
make[2]: *** [src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_marching_cubes.cu.o] Error 1
CMake Error at kfusion_generated_tsdf_volume.cu.o.cmake:226 (message):
Error generating
/home/dms/miaoweiw/sobfu-master/build/src/kfusion/CMakeFiles/kfusion.dir/cuda/./kfusion_generated_tsdf_volume.cu.o

src/kfusion/CMakeFiles/kfusion.dir/build.make:84: recipe for target 'src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_tsdf_volume.cu.o' failed
make[2]: *** [src/kfusion/CMakeFiles/kfusion.dir/cuda/kfusion_generated_tsdf_volume.cu.o] Error 1
CMakeFiles/Makefile2:109: recipe for target 'src/kfusion/CMakeFiles/kfusion.dir/all' failed
make[1]: *** [src/kfusion/CMakeFiles/kfusion.dir/all] Error 2
Makefile:129: recipe for target 'all' failed
make: *** [all] Error 2
make complete!
dms@dms-All-Series:/miaoweiw/sobfu-master$ source setup.sh -a^C
dms@dms-All-Series:/miaoweiw/sobfu-master$

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Hi @wangmiaowei, sorry I haven't play with sobfu for quite a while. Maybe because I use a quite old laptop. Besides, I tested this code on ubuntu 16.04

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Thanks @YanhaoZhang I have fixed all the bugs since I just reboot my computer and restart building all the programs.

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When I run the code line ./build/bin/app /path/to/data /path/to/params with the umbrella data. It seems this is the only running output:
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Is there any other visual effect like dynamic fusion ? Or is there any final output .ply ?

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When I run the code line ./build/bin/app /path/to/data /path/to/params with the umbrella data. It seems this is the only running output:
iter. no. 900
iter. no. 950
iter. no. 1000
iter. no. 1050
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Is there any other visual effect like dynamic fusion ? Or is there any final output .ply ?

hi , have you solved this problem? I meet the same

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I am having the same problem. I published it today as a new issue #16

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