Comments (6)
We rely on features from OpenGL Core Profile 4.0 and above. We currently do no provide support for OpenGL Compatibility Profile or OpenGL ES.
from semantic_suma.
this is the terminal output when i query OpenGL version.
glxinfo | grep "version"
server glx version string: 1.4
client glx version string: 1.4
GLX version: 1.4
OpenGL core profile version string: 4.6.0 NVIDIA 32.3.1
OpenGL core profile shading language version string: 4.60 NVIDIA
OpenGL version string: 4.6.0 NVIDIA 32.3.1
OpenGL shading language version string: 4.60 NVIDIA
OpenGL ES profile version string: OpenGL ES 3.2 NVIDIA 32.3.1
OpenGL ES profile shading language version string: OpenGL ES GLSL ES 3.20
GL_EXT_shader_group_vote, GL_EXT_shader_implicit_conversions,
from semantic_suma.
The problem might be related to:
In the second answer the final solution was: Try to "Link against libOpenGL.so instead of libGL.so" by modifying the CMakefile.txt
. (you have to replace ${OpenGL_LIBRARIES}
with just OpenGL
. I don't know if this works, since I could not test it right now.
Unfortunately, we cannot really provide support for AGX.
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I am now facing linking error.
[semantic_suma:make] [100%] Linking CXX executable [semantic_suma:make] /home/user/catkin_ws/src/semantic_suma/bin/visualizer /catkin_ws/devel/.private/semantic_suma/lib/libsuma.so: undefined reference to gluErrorString' [semantic_suma:make] collect2: error: ld returned 1 exit status [semantic_suma:make] CMakeFiles/visualizer.dir/build.make:417: recipe for target '/home/anavs/catkin_ws/src/semantic_suma/bin/visualizer' failed [semantic_suma:make] make[2]: *** [/home/anavs/catkin_ws/src/semantic_suma/bin/visualizer] Error 1 [semantic_suma:make] CMakeFiles/Makefile2:329: recipe for target 'CMakeFiles/visualizer.dir/all' failed [semantic_suma:make] make[1]: *** [CMakeFiles/visualizer.dir/all] Error 2 [semantic_suma:make] Makefile:157: recipe for target 'all' failed [semantic_suma:make] make: *** [all] Error 2
What is your hardware platform on which you could run this visualization code?
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Just normal Ubuntu 18.04 and Ubuntu 16.04. Normal PCs with Nvidia GPUs (1080s, 960, 2070, Quadro P6000, ...).
from semantic_suma.
Hey @NagarajDesai1, I'm sorry that currently our code only works on certain hardware platforms since we mainly focus on semantic SLAM approach research and cannot provide much help in the hardware developing side.
I'll therefore close this issue. Please feel free to ask me to reopen it if needed.
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Related Issues (20)
- (error)
- What is the role of rosnode in the visualization window? HOT 2
- the question about the part of code !! HOT 1
- `SyntaxError: invalid syntax`. HOT 3
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- different result on suma++ and rangenet++ HOT 6
- different result with Disks mode HOT 1
- Pls, how do I save the global map? HOT 4
- The problem when i catkin deps fetch HOT 2
- the real-time performance? HOT 1
- i can not save pose HOT 3
- savepose HOT 1
- save poses HOT 7
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- error when ./visualizer HOT 1
- The result of semantic segmentation seems incorrect
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