I want to create an image from nvidia jetson tx2, in several places (like https://developer.ridgerun.com/wiki/index.php?title=Cloning_TX2) talk about flash.sh file to perform the task but I cannot found it, also I search using find / -iname flash.sh and nothing. Where can I find this file? Do I need install something eles?
Ubuntu 18.04.5 LTS, Jetpack 4.5.1
Download L4T Driver Package (BSP) driver from: https://developer.nvidia.com/embedded/linux-tegra and download, be sure to dowload the correct version for your JetPach, for 4.5.1 check this:
https://developer.nvidia.com/embedded/l4t/r32_release_v5.1/r32_release_v5.1/t186/tegra186_linux_r32.5.1_aarch64.tbz2
Try to download this
https://gist.github.com/Davidnet/013ceb704ebdc7ebd728e059f90fca80
Put it in your path.
Run
./flash.sh
Related
How to install them?
When I start rendering a scene, I get this:
/lib/x86_64-linux-gnu/libc.so.6: version 'GLIBC_2.28' not found (required by ./Blender_K-cycles_linux/blender)
/lib/x86_64-linux-gnu/libm.so.6: version 'GLIBC_2.29' not found (required by ./Blender_K-cycles_linux/blender)
Is it even possible to install it?
Is it even possible to install it?
No. Instead you should obtain a version of blender compiled for your target environment (current Google Colab appears to use Ubuntu 18.04).
See also this answer.
I have followed these steps while installing the gnome extension of chromium in Ubuntu 20.04.
Installed the GNOME Shell integration extension on chromium.
As per their documentation ran a command to install chrome-gnome-shell
sudo apt-get install chrome-gnome-shell
Still while loading the gnome-extensions page, it is showing error that "Although GNOME Shell integration extension is running, native host connector is not detected. Refer documentation for instructions about installing connector."
Can anyone tell me how to resolve this issue in steps?
FYI: starting from Ubuntu 21.10 Firefox comes as a default browser and as a snap, as well as Chromium. And has the same problem: GNOME Shell integration shows the same error.
Other ways to install the extensions are:
gnome-extensions install --force your_downloaded_extension.zip
unzip your_downloaded_extension.zip ~/.local/share/gnome-shell/extensions/
Probably this is because you are running Chromium as a Snap. There is an open bug in Launchpad about this, that appears to still be happening in Ubuntu 20.04 (still happening in Ubuntu 22.04):
https://bugs.launchpad.net/ubuntu/+source/chromium-browser/+bug/1741074
The easiest solution would probably be to use another web browser, not in a Snap.
I experienced this issue when upgrading from Ubuntu 21.04 to Ubuntu 22.04 (Jammy Jellyfish), where Firefox was installed via snap - supposedly the sandboxing made it unable to detect.
My resolution (which brought back gnome extensions connector being seen) was to install firefox manually by debian package via the directions in https://balintreczey.hu/blog/firefox-on-ubuntu-22-04-from-deb-not-from-snap/ . You may also be able to install the direct tarball following directions in https://fostips.com/install-latest-firefox-non-esr-debian/
Another option is to use a native extension manager as suggested in https://haydenjames.io/ubuntu-22-04-install-gnome-extensions-manager-workaround/
I solved using Chrome and not more Firefox for extensions.gnome.
(I use Chrome just for manage this extension)
If you still got problems, you could simply do this:
sudo apt-get reinstall chrome-gnome-shell
For me it did work after all, but just by using another browser - Firefox
I'm using Ubuntu 20.10 and I also had this issue. I was using Chromium but I found that Chromium dropped support for this, therefore I installed Firefox from the software. This did not work either.
The fix was to uninstall Firefox from software and install Firefox from ubuntu software with the source: ubuntu-groovy-updates-main
I installed the browser extension on there and it worked perfectly.
Aevin J He gave the answer if you're on ubuntu 21.10. it really matters whom you install it from. don't use the default one, use the one with most reviews
I want to install tensorflow-gpu on my linux machine on google cloud platform. I am not using an deep learning vm gcp provide. So I installed anaconda on my linux instance and now i want to install tensorflow. I already installed nvidia drivers and cuda. They can be downloaded straight in to the cloud instances. But for cuDNN I have to download it into my local machine and then upoad it into the cloud instance. Is there a way to download that file directly from nvidia site to my cloud instance? Thank you
EDIT
CUDNN_URL="developer.download.nvidia.com/compute/redist/cudnn/v5.1/cudnn-8.0-linux-x64-v5.1.tgz"
wget -c ${CUDNN_URL}
Using these lines of commands we can directly download cudnnv5.1 and I have seen the links for version 6.5 as well. I tried the same link by putting the version I want but it did not work. Anyone knows a way to use this CUDNN_URL to directly download cudnn v7.1 or higher directly using wget or curl but not logging into the an Nvidia account?
There was a change in the naming convention of cuDNN archives.
Since version 7.2.1, NVIDIA added the full version number into the archive name instead of the previously used short one.
That means that the resulting download link for 7.2.1 is:
https://developer.download.nvidia.com/compute/redist/cudnn/v7.2.1/cudnn-9.2-linux-x64-v7.2.1.38.tgz
instead of,
https://developer.download.nvidia.com/compute/redist/cudnn/v7.2.1/cudnn-9.2-linux-x64-v7.2.tgz
You can follow this pattern:
VERSION_FULL="8.1.0.77"
VERSION="${VERSION_FULL%.*}"
CUDA_VERSION="11.2"
OS_ARCH="linux-x64"
CUDNN_URL="https://developer.download.nvidia.com/compute/redist/cudnn/v${VERSION}/cudnn-${CUDA_VERSION}-${OS_ARCH}-v${VERSION_FULL}.tgz"
wget -c ${CUDNN_URL}
The resulting link would be:
https://developer.download.nvidia.com/compute/redist/cudnn/v8.1.0/cudnn-10.2-linux-x64-v8.1.0.77.tgz
Because you need to have a developer account to get cuDNN there are no direct links to download files.
As a workaround you can download cuDNN and other software to your local machine and then follow documentation Transferring files to instances to copy files to your VM instance:
For example, if you use Windows I'd recommend you to use WinSCP to copy files to your VM.
In addition, have a look at this article Deep Learning environment setup on Ubuntu(16.04) | CUDA, cuDNN, OpenCV(3.x), TensorFlow, Keras.
If your really concerned about(I was) data to download cuda and cudnn files to your local machine and then upload it to the gcp instance. You can set up an GUI for your GCP instance in no time. check this https://www.youtube.com/watch?v=e3RnnmcNI_E or any vnc server tutorial. After that you can directly download any file from using a web browser.
I'm using Tess4J (JNA wrapper around tesseract), and trying to call tess.doOCR(myFile) to OCR text from a single-page PDF.
I have GhostScript installed (by using yum install ghostscript), gs -h works correctly.
My app server is using 64-bit JVM, and I have gsdll64.dll, and the 64-bit tesseract dll's liblept168.dll and libtesseract302.dll in the class path.
When tess.doOCR(myFile) is called, this is logged:
GPL Ghostscript 8.70 (2014-09-22)
Copyright (C) 2014 Artifex Software, Inc. All rights reserved.
This software comes with NO WARRANTY: see the file PUBLIC for details.
Processing pages 1 through 1.
Page 1
But then it just stops there. The program doesn't go any further.
UPDATE --
It looks like the real issue is from this error:
java.lang.UnsatisfiedLinkError: Unable to load library 'tesseract': Native library (linux-x86-64/libtesseract.so) not found in resource path
After looking around a lot, I don't see a convenient place to find this libtesseract.so file, and I'm not sure what it takes to get this onto my Linux app server. I read that maybe I need to download some C++ runtime, but I don't see a Linux download for that. Any advice would be much appreciated.
Or is this something to do with a symbolic link?
The Fix was simple for me,just do sudo apt-get install tesseract-ocr from the command line. For linux you dont need to worry about the DDL librarires or the jvm version. Installing tessearct from apt-get will do the trick.
Those DLLs are for Windows. For Linux, you'll need to install or build from Tesseract source.
That GS version, 8.70, is quite old. The latest Ghost4J library that Tess4J uses is not compatible with that.
Tess4J should include required libraries. However, you need to extract them first.
This should do the trick:
File tmpFolder = LoadLibs.extractTessResources("win32-x86-64"); // replace platform
System.setProperty("java.library.path", tmpFolder.getPath());
You should replace the argument of extractTessResources(..) with your platform. You can find possible options by looking into the Tess4J jar file.
This way you need not to install Tesseract on your system.
Recently I wrote a blog post about Tess4J in which I used this technique. Maybe it can help if you need further information or a running example project.
sudo apt-get update
sudo apt-get install tesseract-ocr
download test data by git
https://github.com/tesseract-ocr/tessdata
I try to configure hadoop 2.3.0 on windows but its give me
Error: Could not find or load main class org.apache.hadoop.hdfs.tools.GetConf
and lots of other error like "winutils.exe","hadoop.dll messing" and "load main class" error.
Please help me to configure Hadoop on windows 8 machine.
I have installed
JDK 1.7
cygwin64
If we directly take the binary distribution of Apache Hadoop 2.3 release and try to run it on Microsoft Windows, then we'll encounter ERROR util.Shell: Failed to locate the winutils binary in the hadoop binary path.
The binary distribution of Apache Hadoop 2.3 release does not contain some windows native components (like winutils.exe, hadoop.dll etc). These are required (not optional) to run Hadoop on Windows.
So you need to build windows native binary distribution of hadoop from source codes following "BUILD.txt" file located inside the source distribution of hadoop. You can follow the following posts (applicable for hadoop 2.3 as well) for step by step guide with screen shot
Build, Install, Configure and Run Apache Hadoop 2.2.0 in Microsoft Windows OS
ERROR util.Shell: Failed to locate the winutils binary in the hadoop binary path
Follow the steps described in the below link which describes the installation of Hadoop 2.3.0 in a windows 8 machine.
http://www.srccodes.com/p/article/38/build-install-configure-run-apache-hadoop-2.2.0-microsoft-windows-os
This works perfectly.
Thanks
Installing in windows:
http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.0.6.0-Win/bk_installing_hdp_for_windows/content/win-chap2-singlenode.html
Prerrequisites:
http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.0.6.0-Win/bk_installing_hdp_for_windows/content/win-getting-ready-2-3-2.HTML
In the suggested tutorial above, the build instructions do not work for the most recent version of visual studio/.NET framework/Windows.
http://www.srccodes.com/p/article/38/build-install-configure-run-apache-hadoop-2.2.0-microsoft-windows-os
First download the desired source version and ...
You do not need the windows 7 sdk/build will fail to create the binary. For windows 8, you can build the hadoop-2.5.2-src\hadoop-common-project\hadoop-common\src\main\winutils solution and C:\hfds\hadoop-2.5.2-src\hadoop-common-project\hadoop-common\src\main\native solutions in visual studio
Then download the binary version...
and place the output files in hadoop-2.5.2-src\hadoop-common-project\hadoop-common\target\bin in the bin directory of the downloaded hadoop binary bin folder.
Then follow the remaining steps of the tutorial...