oiio | processing images in a wide variety | Computer Vision library

by OpenImageIO C++ Version: v2.4.12.0 License: BSD-3-Clause

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

kandi X-RAY | oiio Summary

oiio is a C++ library typically used in Artificial Intelligence, Computer Vision applications. oiio has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

The primary target audience for OIIO is VFX studios and developers of tools such as renderers, compositors, viewers, and other image-related software you’d find in a production pipeline.

Support

Quality

Security

License

Reuse

Support

oiio has a medium active ecosystem.

It has 1688 star(s) with 521 fork(s). There are 128 watchers for this library.

It had no major release in the last 12 months.

There are 111 open issues and 678 have been closed. On average issues are closed in 25 days. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of oiio is v2.4.12.0

Quality

oiio has 0 bugs and 0 code smells.

Security

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

oiio code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

oiio is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

oiio releases are available to install and integrate.

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

It has 3862 lines of code, 72 functions and 124 files.

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

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oiio Key Features

No Key Features are available at this moment for oiio.

oiio Examples and Code Snippets

No Code Snippets are available at this moment for oiio.

Community Discussions

Trending Discussions on oiio

Trimming ArrayList Elements

Is it possible to create a standalone file to import a python library created with pybind?

QUESTION

Trimming ArrayList Elements

Asked 2021-May-13 at 16:41

So, I am writing a PS script to get the permissions from a networked printer. That part is easy enough to get. The output is a little trickier to format and get rid of the fluff, but I've been able to do that as well.

What I need to do, which seems to be escaping me for some reason, is trim the elements of the ArrayList storing the permissions output from the printer.

ArrayList Example:

Element 1:
...

ANSWER

Answered 2021-May-13 at 16:41

It sounds like you want the 2nd and 3rd ;-separated field from your input strings, which you can obtain by getting the fields as an array via the -split operator, extracting the fields of interest, and re-joining them with the -join operator.

The .ForEach() array (collection) method allows you to efficiently apply the operation on each element of your array list (a foreach statement would be slightly faster, but more verbose; the ForEach-Object cmdlet would work too, but is slower).

Source https://stackoverflow.com/questions/67521225

QUESTION

Is it possible to create a standalone file to import a python library created with pybind?

Asked 2020-Jul-28 at 14:24

I hope I'm clear in my question, if not please tell me.

I am using OpenImageIO's python bindings (pybind11) for some scripts that will run on hundreds of computers. Unfortunately it took me a lot of time to install OpenImageIO and make it work with my Python2 installation. I'd like to know if there's a way to create a file/folder that I could send to other computers so they can install the Python module simply with "pip install file/folder".

Thanks ofr your help

...

ANSWER

Answered 2020-Jul-28 at 14:24

Are you running the scripts on a compute cluster with a shared filesystem? If so, then there's no need to create separate installations of python for each machine. The simplest solution is to create ONE python environment in a location that is accessible by all of your machines. An easy way to create a Python environment in a non-system location is to use Miniconda. Install it to a shared (network) location, and create an environment for all of your machines to use.

If your machines do NOT have a shared file system, then you'll need to somehow reproduce the environment on all of them independently. In this case, there's no simple way to do that with pip.**

But if you can use conda instead, then there's a very straightforward solution. First, install everything you need into a single conda environment. Then you have a choice: You can export the list of conda packages, or simply copy the entire conda environment directory to the other machines.

OpenImageIO is available from the conda-forge channel, a community-developed repository of conda packages. The name of the package is py-openimageio. They have stopped updating the python-2.7 version, but the old versions are still available.

Here's how to do it.

Install Miniconda-2.7

Create a new environment with python 2.7, OpenImageIO, and any other packages you need:

Source https://stackoverflow.com/questions/63131768

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

Vulnerabilities

No vulnerabilities reported

Install oiio

Please read the [INSTALL.md](INSTALL.md) file for detailed instructions on how to build and install OpenImageIO. If you build with EMBEDPLUGINS=0, remember that you need to set the environment variable OIIO_LIBRARY_PATH to point to the lib directory where OpenImageIO is installed, or else it will not be able to find the plugins.

Support

The primary user and programmer documentation can be found on [openimageio.readthedocs.io](https://openimageio.readthedocs.io/en/latest/) as html or as [PDF](https://readthedocs.org/projects/openimageio/downloads/pdf/latest/).

Find more information at: