sacn | Project moved to : https : //github.com/RustLight/sacn | Networking library

by lschmierer Rust Version: Current License: Non-SPDX

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

kandi X-RAY | sacn Summary

sacn is a Rust library typically used in Networking applications. sacn has no bugs, it has no vulnerabilities and it has low support. However sacn has a Non-SPDX License. You can download it from GitHub.

This is an implementation of the Streaming ACN (ANSI E1.31) network protocol. Currently only the sending DMX data is implemented. Parsing of the sACN network packets is allocation free and can work in no_std environments.

Support

Quality

Security

License

Reuse

Support

sacn has a low active ecosystem.

It has 12 star(s) with 6 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 10 have been closed. On average issues are closed in 451 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sacn is current.

Quality

sacn has no bugs reported.

Security

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

License

sacn has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

sacn 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.

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sacn Key Features

No Key Features are available at this moment for sacn.

sacn Examples and Code Snippets

No Code Snippets are available at this moment for sacn.

Community Discussions

Trending Discussions on sacn

In tensorflow c++ api, how to save a picture or an array from a tensor

Need an easy way to locally modify a wireshark .pcap packet's data

How to convert "new EventHandler..." from C# To VB

QUESTION

In tensorflow c++ api, how to save a picture or an array from a tensor

Asked 2019-Feb-15 at 02:14

I am trying to run a saved model for image segmentation, using tf 1.5.0 c++ api. My model gets an input image with size 1*256*256*3, and feeds to a tensor like this:

...

ANSWER

Answered 2018-Mar-16 at 12:11

I think you can directly wrap tensor data with OpenCV matrix header this way:

Source https://stackoverflow.com/questions/49295734

QUESTION

Need an easy way to locally modify a wireshark .pcap packet's data

Asked 2017-Sep-06 at 19:25

I've been giving Scapy a try, but the documentation is too sparse, and I can't get it to play nice for simple editing.

Essentially, I'm looking for a simple solution in Python to take each packet from a .pcap, read/modify some of the data/delete the packet and save it back as a .pcap.

For example:

Given an sACN packet, I need read/modify the priority octet (108) and the universe octet (113-114) and save it again.

Thanks!

...

ANSWER

Answered 2017-Sep-06 at 12:59

To process ".pcap" files with scapy you need to import 'PcapWriter' from 'scapy.utils'. The following example demonstrates how to process ".pcap" files with scapy:

Source https://stackoverflow.com/questions/46063179

QUESTION

How to convert "new EventHandler..." from C# To VB

Asked 2017-Aug-29 at 21:16

I currently have an example application written in C#, and I'd like to use code from that in my VB.NET project. Right now, the function I'm trying to copy over looks like this:

...

ANSWER

Answered 2017-Aug-29 at 21:13

If you mean this line:

Source https://stackoverflow.com/questions/45948139

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

Vulnerabilities

No vulnerabilities reported

Install sacn

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

Support

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

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