jetson_nano | software development environment on my Jetson Nano | Machine Learning library

by jkjung-avt Shell Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | jetson_nano Summary

jetson_nano is a Shell library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. jetson_nano has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repository is a collection of scripts/programs I use to set up the software development environment on my Jetson Nano, TX2, and Xavier NX.

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Security

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Support

jetson_nano has a low active ecosystem.

It has 200 star(s) with 107 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 19 have been closed. On average issues are closed in 21 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jetson_nano is current.

Quality

jetson_nano has 0 bugs and 0 code smells.

Security

jetson_nano has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jetson_nano code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jetson_nano is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

jetson_nano releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

It has 70 lines of code, 4 functions and 1 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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jetson_nano Key Features

No Key Features are available at this moment for jetson_nano.

jetson_nano Examples and Code Snippets

No Code Snippets are available at this moment for jetson_nano.

Community Discussions

Trending Discussions on jetson_nano

Crosscompilation use boost from mounted directory

Crosscompilation GCC toolchain cannot find stdlib.h

Yocto build error: Building image with debian package management

QUESTION

Crosscompilation use boost from mounted directory

Asked 2020-Jul-28 at 03:33

I am trying to cross compile a ROS package for a Jetson nano (aarch64) using my x86_64 PC. I am using the toolchain provided by nvidia (GCC Tool Chain for 64-bit BSP). I have been following this article for guidance

As the compiler needs boost binaries from the aarch64 system, I have mounted the nano's /usr/include/boost into my build directory's usr/include/boost. Here's my build directory heirachy.

...

ANSWER

Answered 2020-Jul-28 at 03:33

Got it solved by mounting the whole /usr/include instead of /usr/include/boost. Compiler might have needed other files/ directories in /usr/include to look up Boost

Source https://stackoverflow.com/questions/63117583

QUESTION

Crosscompilation GCC toolchain cannot find stdlib.h

Asked 2020-Jul-27 at 11:29

I am trying to cross compile for a Jetson nano (aarch64) using my x86_64 PC. I am using the toolchain provided by nvidia (GCC Tool Chain for 64-bit BSP). Right now I am stuck with the toolchain not being able to find stdlilb.h

...

ANSWER

Answered 2020-Jul-27 at 11:29

Adding the toolchain include directory with include_directories solved the problem

Source https://stackoverflow.com/questions/63113039

QUESTION

Yocto build error: Building image with debian package management

Asked 2020-Jan-29 at 13:43

I've build images with the default RPM package management, but now that I want to build an image with debian package management instead of RPM, Yocto returns an error in the last steps of image do_rootfs step.

The error;

...

ANSWER

Answered 2020-Jan-14 at 06:41

I figured out that one of the layers i was using, meta-linaro, has a .bbappend to busybox that configures dpkg-deb to be linked to busybox. I created a patch for the meta-linaro layer that removes that configuration and voilà, the build completes successfully.

Source https://stackoverflow.com/questions/59716949

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install jetson_nano

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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