tinyexr | Tiny OpenEXR image loader/saver library | Machine Learning library

by syoyo C++ Version: v1.0.5 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tinyexr Summary

tinyexr is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. tinyexr has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

tinyexr is a small, single header-only library to load and save OpenEXR (.exr) images. tinyexr is written in portable C++ (no library dependency except for STL), thus tinyexr is good to embed into your application. To use tinyexr, simply copy tinyexr.h, miniz.c and miniz.h(for zlib. You can use system-installed zlib instead of miniz. Controlled with TINYEXR_USE_MINIZ compile flag) into your project.

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Quality

Security

License

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Support

tinyexr has a low active ecosystem.

It has 595 star(s) with 121 fork(s). There are 28 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 126 have been closed. On average issues are closed in 182 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tinyexr is v1.0.5

Quality

tinyexr has 0 bugs and 0 code smells.

Security

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

tinyexr code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tinyexr does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

tinyexr releases are available to install and integrate.

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

It has 649 lines of code, 43 functions and 10 files.

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

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tinyexr Key Features

No Key Features are available at this moment for tinyexr.

tinyexr Examples and Code Snippets

No Code Snippets are available at this moment for tinyexr.

Community Discussions

Trending Discussions on tinyexr

Problem with some LWJGL classes on import (Eclipse)

QUESTION

Problem with some LWJGL classes on import (Eclipse)

Asked 2021-Mar-27 at 09:20

I downloaded the release build without modifying (https://www.lwjgl.org/customize) I put all the classes in Eclipse. Some classes are not recognized

The codes that do not need these classes in error, work normally. As in https://www.lwjgl.org/guide

All the classes I put:

...

ANSWER

Answered 2021-Mar-27 at 09:20

You are trying to compile LWJGL 2 code here. All the imports that it cannot find pertain to the verison 2 of LWJGL. The current version that you can get from the mentioned lwjgl site is 3 and version 3 is incompatible with version 2.

Either explicitly download LWJGL 2 from e.g. http://legacy.lwjgl.org/ or rewrite your code to work with LWJGL 3.

If you go the LWJGL 2 route, though, please note that it hasn't been actively maintained anymore for more than 6 years now.

Source https://stackoverflow.com/questions/66827323

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

Vulnerabilities

No vulnerabilities reported

Install tinyexr

You can download it from GitHub.

Support

[x] x86-64 [x] Windows 7 or later [x] Linux(posix) system [x] macOS[x] AARCH64 [x] aarch64 linux(e.g. Raspberry Pi) [x] Android [x] iOS [x] macOS[ ] RISC-V(Should work)[x] Big endian machine(not maintained, but should work) SPARC, PowerPC, ...[x] WebAssembly(JavaScript) Loader only(See )[x] Python binding Loader only https://pypi.org/project/pytinyexr/

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