PCL/OpenNI troubleshooting - Revision history

Victorm at 23:29, 1 November 2015

2015-11-01T23:29:07Z

Victorm at 23:28, 1 November 2015

2015-11-01T23:28:23Z

Victorm at 19:59, 1 November 2015

2015-11-01T19:59:01Z

Victorm at 09:08, 13 May 2015

2015-05-13T09:08:01Z

Victorm at 09:07, 13 May 2015

2015-05-13T09:07:20Z

Victorm at 16:55, 25 March 2015

2015-03-25T16:55:18Z

Victorm at 10:55, 25 March 2015

2015-03-25T10:55:03Z

Victorm at 10:54, 25 March 2015

2015-03-25T10:54:27Z

Victorm at 10:33, 18 February 2015

2015-02-18T10:33:38Z

Victorm at 10:23, 18 February 2015

2015-02-18T10:23:59Z

@@ Line 127: / Line 127: @@
 Find (<span style="color:#228B22">'''Ctrl+W'''</span>) the line that says <span style="color:#FF1493">";UsbInterface=2"</span> and uncomment it (remove the semicolon at the start). Save the file (<span style="color:#228B22">'''Ctrl+O'''</span>) and close (<span style="color:#228B22">'''Ctrl+X'''</span>). Reboot your computer, and you should be able to use your Xtion device with OpenNI/PCL. Whenever you want to switch back to a Kinect, you must comment the line, or else you will get the same <span style="color:#FF1493">''"No devices connected"''</span> or <span style="color:#FF1493">''"USB interface is not supported!"''</span> error.
-If you still get this error, or you have another problem, like inconsistent framerate or freeze-ups, check that your Xtion is not plugged to an USB 3.0 port. Sadly, the firmware has a bug that prevents the device from working with 3.0 ports. Either switch to a 2.0 one (if your computer does not have one, you can use a [http://en.wikipedia.org/wiki/USB_hub hub]) or try applying [https://github.com/nh2/asus-xtion-fix this fix].
+If you still get this error, or you have another problem, like inconsistent framerate or freeze-ups, check that your Xtion is not plugged to an USB 3.0 port. Sadly, the firmware has a bug that prevents the device from working with 3.0 ports. Either switch to a 2.0 one (if your computer does not have one, you can use a [https://en.wikipedia.org/wiki/USB_hub hub]) or try applying [https://github.com/nh2/asus-xtion-fix this fix].
 ==glInit() not found / OpenGL isues==

@@ Line 27: / Line 27: @@
 ==Unsupported GPU architecture==
-When compiling PCL with CUDA support enabled, you may get a <span style="color:#FF1493">''"nvcc fatal : Unsupported gpu architecture 'compute_52'"''</span> error or similar. This means that your current graphic card does not support some of the capabilities of the most modern versions of CUDA, and the SDK can not compile the binaries. You can see the compatibility info for your card model [http://en.wikipedia.org/wiki/CUDA#Supported_GPUs here].
+When compiling PCL with CUDA support enabled, you may get a <span style="color:#FF1493">''"nvcc fatal : Unsupported gpu architecture 'compute_52'"''</span> error or similar. This means that your current graphic card does not support some of the capabilities of the most modern versions of CUDA, and the SDK can not compile the binaries. You can see the compatibility info for your card model [https://en.wikipedia.org/wiki/CUDA#Supported_GPUs here].
 In order to solve this, you must clean your PCL build folder by erasing all content:

← Older revision		Revision as of 19:59, 1 November 2015
Line 96:		Line 96:

	Now, you must press <span style="color:#228B22">'''T'''</span> to toggle advanced mode. Then, look for the <span style="color:#FF1493">"CMAKE_C_FLAGS"</span> and <span style="color:#FF1493">"CMAKE_CXX_FLAGS"</span> options. Edit them and add <span style="color:#FF1493">"-march=corei7"</span> (by default, <span style="color:#FF1493">"-march=native"</span> is set in the Makefiles). Configure and generate (<span style="color:#228B22">'''C'''</span> and <span style="color:#228B22">'''G'''</span>), and resume the compilation.		Now, you must press <span style="color:#228B22">'''T'''</span> to toggle advanced mode. Then, look for the <span style="color:#FF1493">"CMAKE_C_FLAGS"</span> and <span style="color:#FF1493">"CMAKE_CXX_FLAGS"</span> options. Edit them and add <span style="color:#FF1493">"-march=corei7"</span> (by default, <span style="color:#FF1493">"-march=native"</span> is set in the Makefiles). Configure and generate (<span style="color:#228B22">'''C'''</span> and <span style="color:#228B22">'''G'''</span>), and resume the compilation.
		+
		+	=PCL=
		+
		+	==Point type not properly registered==
		+
		+	You will get this error if you try to save or load a descriptor that does not have its own defined custom PointType (and uses <span style="color:#FF1493">"pcl::Histogram<>"</span>). See [[PCL/OpenNI_tutorial_4:_3D_object_recognition_%28descriptors%29#Saving_and_loading\|this]] for the solution.

	=OpenNI=		=OpenNI=

@@ Line 11: / Line 11: @@
 ==Unsupported configuration==
-When you run the CUDA installer on a fairly modern Linux, you may get a message saying that you are trying to install it on an unsupported configuration. What this means is that CUDA can not work with the newest versions of the GCC compiler. As of version 7, the highest compatible GCC is 4.8.2 for Ubuntu 14.04 LTS (12.04 LTS has been deprecated). Check the compatibility table [http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/#system-requirements here].
+When you run the CUDA installer on a fairly modern Linux, you may get a message saying that you are trying to install it on an unsupported configuration. What this means is that CUDA can not work with the newest versions of the GCC compiler. As of version 7, the highest compatible GCC is 4.8.2 for Ubuntu 14.04 LTS and 4.9.1 for 14.10 (12.04 LTS has been deprecated). Check the compatibility table [http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/#system-requirements here].
 In order to solve this, you must install an older version, like 4.6 for Ubuntu 12.04, and set it as the "official" alternative for compiling (change 4.7 for your current version):

@@ Line 11: / Line 11: @@
 ==Unsupported configuration==
-When you run the CUDA installer on a fairly modern Linux, you may get a message saying that you are trying to install it on an unsupported configuration. What this means is that CUDA can not work with the newest versions of the GCC compiler. As of version 6.5, the highest compatible GCC is 4.8.2 for Ubuntu 14.04 or 4.6 for 12.04 LTS (check the compatibility table [http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/#system-requirements here]).
+When you run the CUDA installer on a fairly modern Linux, you may get a message saying that you are trying to install it on an unsupported configuration. What this means is that CUDA can not work with the newest versions of the GCC compiler. As of version 7, the highest compatible GCC is 4.8.2 for Ubuntu 14.04 LTS (12.04 LTS has been deprecated). Check the compatibility table [http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/#system-requirements here].
 In order to solve this, you must install an older version, like 4.6 for Ubuntu 12.04, and set it as the "official" alternative for compiling (change 4.7 for your current version):

← Older revision		Revision as of 16:55, 25 March 2015
Line 78:		Line 78:

	<syntaxhighlight lang=Bash>sudo apt-get install python-vtk libvtk-java</syntaxhighlight>		<syntaxhighlight lang=Bash>sudo apt-get install python-vtk libvtk-java</syntaxhighlight>
		+
		+	==QVTK_LIBRARY_DEBUG or QVTK_LIBRARY_RELEASE not found==
		+
		+	If this error comes up when trying to configure the CMake build of PCL trunk, then you must install these two packages:
		+
		+	<syntaxhighlight lang=Bash>sudo apt-get install libvtk6-dev libqt5opengl5-dev</syntaxhighlight>
		+
		+	Doing this will replace VTK 5 with version 6 and Qt 4 with version 5, which are the ones now officially supported by PCL 1.8.

	=GCC=		=GCC=

@@ Line 87: / Line 87: @@
 <syntaxhighlight lang=Bash>ccmake .</syntaxhighlight>
-Now, you must press <span style="color:#228B22">'''T'''</span> to toggle advanced mode. Then, look for the <span style="color:#FF1493">"CMAKE_C_FLAGS"</span> and <span style="color:#FF1493">"CMAKE_CXX_FLAGS"</span> options. Edit them and add <span style="color:#FF1493">"-march=corei7"</span> (by default, <span style="color:#FF1493">"-march=native"</span> is set in the Makefiles). Configure and generate (<span style="color:#228B22">'''C'''</span> and <span style="color:#228B22">'''G'''</span>>), and resume the compilation.
+Now, you must press <span style="color:#228B22">'''T'''</span> to toggle advanced mode. Then, look for the <span style="color:#FF1493">"CMAKE_C_FLAGS"</span> and <span style="color:#FF1493">"CMAKE_CXX_FLAGS"</span> options. Edit them and add <span style="color:#FF1493">"-march=corei7"</span> (by default, <span style="color:#FF1493">"-march=native"</span> is set in the Makefiles). Configure and generate (<span style="color:#228B22">'''C'''</span> and <span style="color:#228B22">'''G'''</span>), and resume the compilation.
 =OpenNI=

← Older revision		Revision as of 10:54, 25 March 2015
Line 78:		Line 78:

	<syntaxhighlight lang=Bash>sudo apt-get install python-vtk libvtk-java</syntaxhighlight>		<syntaxhighlight lang=Bash>sudo apt-get install python-vtk libvtk-java</syntaxhighlight>
		+
		+	=GCC=
		+
		+	==No such instruction==
		+
		+	When building PCL, it is possible that compilation will fail with a message like <span style="color:#FF1493">''"no such instruction: `vfmadd312ss 32(%rsp),%xmm15,%xmm7'"''</span>. What this means is that you have a combination of a brand new i7 CPU and an outdated compiler (such as GCC 4.6, which comes with Ubuntu 12.04). You could try to update to GCC 4.8, with it is a bit complicated, but there is an easier solution. Configure again the project with:
		+
		+	<syntaxhighlight lang=Bash>ccmake .</syntaxhighlight>
		+
		+	Now, you must press <span style="color:#228B22">'''T'''</span> to toggle advanced mode. Then, look for the <span style="color:#FF1493">"CMAKE_C_FLAGS"</span> and <span style="color:#FF1493">"CMAKE_CXX_FLAGS"</span> options. Edit them and add <span style="color:#FF1493">"-march=corei7"</span> (by default, <span style="color:#FF1493">"-march=native"</span> is set in the Makefiles). Configure and generate (<span style="color:#228B22">'''C'''</span> and <span style="color:#228B22">'''G'''</span>>), and resume the compilation.

	=OpenNI=		=OpenNI=

@@ Line 15: / Line 15: @@
 In order to solve this, you must install an older version, like 4.6 for Ubuntu 12.04, and set it as the "official" alternative for compiling (change 4.7 for your current version):
-<syntaxhighlight lang=Bash>sudo apt-get install gcc-4.6 g++-4.6 -y
+<syntaxhighlight lang=Bash>sudo apt-get install gcc-4.6 g++-4.6
 sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.6 60 --slave /usr/bin/g++ g++ /usr/bin/g++-4.6
 sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.7 40 --slave /usr/bin/g++ g++ /usr/bin/g++-4.7</syntaxhighlight>
@@ Line 77: / Line 77: @@
 The program will build anyway, so this is not a big issue. But if you find the messages annoying, you can fix it by installing two packages:
-<syntaxhighlight lang=Bash>sudo apt-get install python-vtk libvtk-java -y</syntaxhighlight>
+<syntaxhighlight lang=Bash>sudo apt-get install python-vtk libvtk-java</syntaxhighlight>
 =OpenNI=

← Older revision		Revision as of 10:23, 18 February 2015
Line 24:		Line 24:

	Whenever you want to switch back to GCC 4.7 or newer, re-run the previous command. Please mind, that both C and C++ compilers are changed, not just C.		Whenever you want to switch back to GCC 4.7 or newer, re-run the previous command. Please mind, that both C and C++ compilers are changed, not just C.
		+
		+	==Unsupported GPU architecture==
		+
		+	When compiling PCL with CUDA support enabled, you may get a <span style="color:#FF1493">''"nvcc fatal : Unsupported gpu architecture 'compute_52'"''</span> error or similar. This means that your current graphic card does not support some of the capabilities of the most modern versions of CUDA, and the SDK can not compile the binaries. You can see the compatibility info for your card model [http://en.wikipedia.org/wiki/CUDA#Supported_GPUs here].
		+
		+	In order to solve this, you must clean your PCL build folder by erasing all content:
		+
		+	<syntaxhighlight lang=Bash>rm -rf ./*</syntaxhighlight>
		+
		+	Configure again with CMake:
		+
		+	<syntaxhighlight lang=Bash>cmake ..
		+	ccmake .</syntaxhighlight>
		+
		+	And look for the <span style="color:#FF1493">"CUDA_ARCH_BIN"</span> option. Edit it and remove any architectures that are not compatible with your GPU, like for example 5.2 (in the above case). Then, configure and generate as usual with <span style="color:#228B22">'''C'''</span> and <span style="color:#228B22">'''G'''</span>, and compile.

	=Apt=		=Apt=