I use version 4.1.1 of GTSAM. I have version 3.3.4 of Eigen installed.
The error is:
/usr/local/include/gtsam/base/OptionalJacobian.h:22:10: fatal error: Eigen/Dense: No such file or directory
#include <Eigen/Dense>
I tried building GTSAM with the flag -DGTSAM_USE_SYSTEM_EIGEN set to both on and off.
The same error message appears in both cases.
For reference this is a ROS project built with catkin.
Have you seen this PR: https://github.com/borglab/gtsam/pull/1304
If you can upgrade GTSAM to 4.2a8, it uses Eigen's find script's rather than custom ones and should properly find Eigen3, if you have it installed if you require to build from source.
Since you are using ROS, why not go the standard route... Have you declared a dependency on it in your package.xml and installed it with rosdep?
https://github.com/ros/rosdistro/pull/23198/files
Add to your package.xml:
<depend>gtsam</depend>
And, your CMakeLists, you just call
find_package(gtsam REQUIRED)
It is unclear to me, if gtsam is available through binaries, why you would be building it from source.
I was able to get it working by cloning version 4.0.3 of GTSAM into the src folder of my workspace, then building it with the following arguments:
-DGTSAM_USE_SYSTEM_EIGEN=ON -DGTSAM_POSE3_EXPMAP=ON -DGTSAM_ROT3_EXPMAP=ON
Related
I'm trying to use rustlearn crate in my project. Added the dependency in Cargo.toml.
Since rustlearn requires gcc, I downloaded and installed MinGW64.
I tried the following gcc builds:
x86_64-8.1.0-posix-seh-rt_v6-rev0
x86_64-8.1.0-posix-sjlj-rt_v6-rev0
i686-8.1.0-posix-sjlj-rt_v6-rev0
each time setting a PATH environment variable to the appropriate g++.exe and restarting VSCode.
But everytime I tried to build my Rust package I got a such error:
= note: C:\Rust\PF\machinelearning\target\debug\deps\librustlearn-4ae611e3fd449ac0.rlib(svm.o): In function `ZN6KernelC2EiPKP8svm_nodeRK13svm_parameter':
C:\Git-local-repos\rustlearn/dependencies/libsvm/svm.cpp:256: undefined reference to `__gxx_personality_sj0'
C:\Git-local-repos\rustlearn/dependencies/libsvm/svm.cpp:256: undefined reference to `_Unwind_SjLj_Register'
C:\Git-local-repos\rustlearn/dependencies/libsvm/svm.cpp:258: undefined reference to `_Unwind_SjLj_Resume'
C:\Git-local-repos\rustlearn/dependencies/libsvm/svm.cpp:289: undefined reference to `_Unwind_SjLj_Unregister'
repeated many times.
I realize that the problem is somehow related to exception handling (seh/sjlj).
My system is Windows 7 x86-64, rust toolchain is stable-i686-pc-windows-gnu.
What am I doing wrong?
I found that the right build of MinGW is i686-7.1.0-posix-dwarf-rt_v5-rev2.
I did not run into these errors when I created a MWE.
To me, this looks like you are trying to use gcc to link a *.o that was compiled with g++.
I was unable to replicate your problem. Here's what I did--which resulted in a successfully built project:
I created a new project with cargo new and added the following to Cargo.toml:
rustlearn = "0.5.0"
I ran cargo check to download all the required dependencies.
I edited src/main.rs to include the logistic regression example from here, modified so that it was called in a main() function.
I ran cargo build, which successfully compiled crossbeam, libc, serde, rand, rustlearn, and rustlearn-test--the name of my test package. Several linting warnings were outputted; they were ignored.
I ran cargo run, which successfully ran the program.
FWIW, I'm using the WSL on Windows 10.
I've been trying to install hmatrix on my (64-bit) Windows 10 computer; after searching through and trying many possible solutions (including the instructions under "Windows" and "Alternative Windows Build" given here), I decided to pursue the course of action given on this Reddit thread.
However, when I type in the command
cabal install hmatrix -fopenblas --extra-lib-dir=${c:\msys64\mingw64\bin} --extra-include-dir=${c:\msys64\mingw64\include}
into the MSYS2 shell, the following log is given:
Resolving dependencies...
Configuring hmatrix-0.17.0.2...
Failed to install hmatrix-0.17.0.2
Build log ( C:\Users\Christian\AppData\Roaming\cabal\logs\hmatrix-0.17.0.2.log ):
Configuring hmatrix-0.17.0.2...
cabal.exe: Missing dependency on a foreign library:
* Missing C library: libopenblas
This problem can usually be solved by installing the system package that
provides this library (you may need the "-dev" version). If the library is
already installed but in a non-standard location then you can use the flags
--extra-include-dirs= and --extra-lib-dirs= to specify where it is.
cabal: Leaving directory 'C:\msys64\tmp\cabal-tmp-4244\hmatrix-0.17.0.2'
cabal.exe: Error: some packages failed to install:
hmatrix-0.17.0.2 failed during the configure step. The exception was:
ExitFailure 1
However, when I check the directory c:\msys64\mingw64\bin, I see that libopenblas.dll is right there; I don't know why cabal can't seem to find it.
Any insight into why this is not working or what to do?
UPDATE:
The files libopenblas.dll.a and libopenblas.a are in the directory c:\msys64\mingw64\lib. Is it possible I need to somehow include this directory as well? (If I do, how would I do that?)
I also downloaded the files in Alex Vorobiev's comment below and put them in c:\msys64\mingw64\bin if they are .dlls or c:\msys64\mingw64\lib if they are .libs. The header files were already contained in c:\msys64\include\openblas.
I tried several variations on the command in the original post after making these changes, including switching \bin with \lib and switching \include with \include\openblas, but all of them still give the same error.
I'm a bit suspicious about the
if os(windows)
if flag(openblas)
extra-libraries: libopenblas
in the cabal file, could you unpack it and remove the "lib" part? If that doesn't work please post a log with -v3 output. I've seen quite a few people with troubles installing this package. So could you also open a ticket on the GHC bug tracker if this doesn't work (and CC me "Phyx-")?
Secondly, you never said which version of GHC you're using. 8.0.1 should have far less trouble (and won't need the hack to get it working in GHCi) since the runtime linker has been overhauled and should be much better on Windows. 8.0.2 will likely include the new import libraries support as well.
I'm trying to compile a GO application, which uses the gokiri library.
I installed docker and compiled locally the xgo cross compiler for go.
When trying to execute the following command:
./xgo mydomain.com/test/test-app
I get the following error:
In file included from /usr/include/libxml2/libxml/parser.h:810:0,
from /usr/include/libxml2/libxml/globals.h:18,
from /usr/include/libxml2/libxml/threads.h:35,
from /usr/include/libxml2/libxml/xmlmemory.h:218,
from /usr/include/libxml2/libxml/tree.h:1307,
from ../../github.com/moovweb/gokogiri/help/help.go:6:
/usr/include/libxml2/libxml/encoding.h:28:19: fatal error: iconv.h: No such file or directory
I've installed xcode-tools which helped me compile it for my machine (mac ox El Capitan). BUT, I cannot get it compiled to other environment.
Any help will be appreciated. Thanks.
Update 1:
I've tried to add the dependency, but got the same result:
./xgo --deps /usr/local/Cellar/libiconv/1.14/ mydomain.com/test/test-app
It was even mentioned in the logs of the xgo that this library was already cached:
Dependency already cached: /Users/macuser/.xgo-cache/1.14.
from the documentation:
It is assumed that the dependent C/C++ library is configure/make
based, was properly prepared for cross compilation and is available as
a tarball download (.tar, .tar.gz or .tar.bz2). Further plans include
extending this to cmake based projects, if need arises (please open an
issue if it's important to you).
Such dependencies can be added via the --deps argument. They will be
retrieved prior to starting the cross compilation and the packages
cached to save bandwidth on subsequent calls.
So in this example, it would be:
./xgo --deps https://ftp.gnu.org/pub/gnu/libiconv/libiconv-1.15.tar.gz mydomain.com/test/test-app
I am trying to build a solution in Visual Studio 2010 and to do so had to setup cmake 2.8, opencv and CUDA v5.5 for supporting files. While doing a cmake build I get the following error.
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_npp_LIBRARY (ADVANCED)linked by target "opencv_gpu" in directory D:/opencv/modules/gpu
On looking in the CUDA directories I found that the npp library has been split into three separate libraries: npps.lib,nppi,lib and nppc.lib. I tried putting all three files in the CUDA_npp_LIBRARY path but I still get the same error. How can I fix this?
CUDA 5.5 support was added in 2.4.6 version. Please use the latest code. Also I recommend to use latest CMake version.
I'm on mac 10.7.5, using xcode 4.6.2 and working with the OpenCV 2.4.3 library. I went through the process of making the build directory with the cmake files in terminal and did the download.
I added the .dylib files in Xcode and changed the header path, changed C++ Library to libstdc++, but when I compiled I got this error :
ld: library not found for -lopencv_calib3d.2.4.3
clang: error: linker command failed with exit code 1
I have libopencv_calib3d.2.4.3.dylib added in the project so I have no idea what else it needs.Any ideas?
If your "make back-end" is Cmake you should stick to using it. Local config changes in Xcode can "secretly" be overwritten when the cmake is rerun (which for example happens after you make changes to it) creating weird build errors and forcing you to remember all the manual changes you made.
Your problem seems to be that the generated project doesn't seem to know where to look for opencv.
Assuming you installed opencv using macports you should add a line saying
link_directories(/opt/local/lib)
to your CMakeLists.txt. (if you installed it using brew, or compiled it manually just replace /opt/local/lib for /usr/local/lib or the path to your compiled libraries)
Also make sure to link against opencv_calib3d instead of opencv_calib3d.2.4.3 (unless you have a very particular reason for bypassing this, but that usually means that something else is weird in the setup :) )
Final pointer that you might already know of: As you are already using Cmake you should add the libraries to link against using TARGET_LINK_LIBRARIES(...) in Cmake rather than manually adding them in Xcode (referring to my previous argument).