cv-rs | Rust wrapper for OpenCV | Computer Vision library

by nebgnahz Rust Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | cv-rs Summary

cv-rs is a Rust library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. cv-rs has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Rust wrapper for OpenCV (manual at this point)

Support

Quality

Security

License

Reuse

Support

cv-rs has a low active ecosystem.

It has 195 star(s) with 40 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 35 have been closed. On average issues are closed in 79 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cv-rs is current.

Quality

cv-rs has 0 bugs and 0 code smells.

Security

cv-rs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cv-rs code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cv-rs 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

cv-rs releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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cv-rs Key Features

No Key Features are available at this moment for cv-rs.

cv-rs Examples and Code Snippets

No Code Snippets are available at this moment for cv-rs.

Community Discussions

Trending Discussions on cv-rs

How can I compile opencv from source at Win 10

OpenCV different results on Windows and Linux

QUESTION

How can I compile opencv from source at Win 10

Asked 2018-Oct-20 at 17:16

I read this and this, and saw the videos, but looks I did not understand the required :(

I need to compile opencv from source in order to be able to use CV-Rust at my application, what I did is:

1- Downloaded and installed Visual Studio 2015 with Visual C++ option.

2- Downloaded and installed CUDA

3- Downloaded and installed Python

4- Downloaded and installed Tortoisegit

5- Downloaded and installed 7-zip

6- Downloaded and installed Miktex

7- Downloaded and installed DoxyGen

8- Upgraded the pip python -m pip install --upgrade pip and installed the below packages:

8-1- Setuptools as pip install setuptools

8-2- Sphinx as pip install -U Sphinx

8-3- NumPy as pip install NumPy

9- Downloaded and extracted the following, and put all the extracted folders in a seperate folder called it dep:

9-1- Threading Building Blocks 2018 Update 6 _win.zip

9-2- OpenEXR .tar.gz

9-3- Eigen .zip

10- Downloaded and unzipped the OpenCV winpack

11- Closed in another folder the OpenCV github using Tortoisegit

What is required now!

...

ANSWER

Answered 2018-Oct-20 at 17:16

I'll summarize the issue I raised at github and its solution below:

It looks I was having some conflicts in my machine setup:

I was not having required permission to execute scripts as the PS, so I added the required permission as mentioned here, by writing:

Source https://stackoverflow.com/questions/52903681

QUESTION

OpenCV different results on Windows and Linux

Asked 2018-Feb-06 at 10:25

I'm writing a cross-platform wrapper for OpenCV on rust. And I wrote several tests to check that my wrapper is working correctly. Some tests are passing, some tests are failing with slightly different values, but one test has completely different results.

Right number is what I get on windows, left - on linux

...

ANSWER

Answered 2018-Feb-06 at 10:25

Thanksto @VTT, this issue happens because of different jpg interpretation on different platforms. Switch to png solves the problem

Source https://stackoverflow.com/questions/48469240

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

Vulnerabilities

No vulnerabilities reported

Install cv-rs

Before anything, make sure you have OpenCV 3 installed. If you are using windows, follow this instruction, otherwise read this Introduction to OpenCV to get started.
cuda - for CUDA support, requires installed CUDA
text - for text recognition support. Requires building from sources, is not included in most package managers by default, e.g. in brew
tesseract - for Tesseract OCR support, requires installed Tesseract

Support

See the contribute file! PRs highly welcome. You may also simply open up an issue for feature/porting request. Small note: If editing the README, please conform to the standard-readme specification.

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