Result for 493391C0DD69D06E769605E2E4276829CDB1829F

Query result

Key Value
FileName./usr/lib/.build-id/b2/4b458947629d8f380c2cbcab8104aca3603031
FileSize52
MD583D37692130F0DDF4E9BB39C665E41FE
SHA-1493391C0DD69D06E769605E2E4276829CDB1829F
SHA-25693438922AB082596C84CF5B1D52F91695A8C854D31755880B4FCC68BDE4198D8
SSDEEP3:gCD/b1gYLW3IrNQLVln:X/RgYL0l
TLSHT1E59002605E7C3110B0542D4492594C7873405D0436445E14106C40B480044BA1611455
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5DFA782AAD9760BCD70EE29DC31BCEE65
PackageArcharmv7hl
PackageDescriptionOpenEXR is an open-source high-dynamic-range floating-point image file format for high-quality image processing and storage. This document presents a brief overview of OpenEXR and explains concepts that are specific to this format. OpenEXR Features: * High dynamic range and color precision. Support for 16-bit floating-point, * 32-bit floating-point, and 32-bit integer pixels. * Multiple image compression algorithms, both lossless and lossy. Some of the included codecs can achieve 2:1 lossless compression ratios on images with film grain. The lossy codecs have been tuned for visual quality and decoding performance. * Extensibility. New compression codecs and image types can easily be added by extending the C++ classes included in the OpenEXR software distribution. New image attributes (strings, vectors, integers, etc.) can be added to OpenEXR image headers without affecting backward compatibility with existing OpenEXR applications. * Support for stereoscopic image workflows and a generalization to multi-views. * Flexible support for deep data: pixels can store a variable-length list of samples and, thus, it is possible to store multiple values at different depths for each pixel. Hard surfaces and volumetric data representations are accommodated. * Multipart: ability to encode separate, but related, images in one file. This allows for access to individual parts without the need to read other parts in the file. * Versioning: OpenEXR source allows for user configurable C++ namespaces to provide protection when using multiple versions of the library in the same process space. The IlmBase Library: Also a part of OpenEXR, the IlmBase library is a basic, light-weight, and efficient representation of 2D and 3D vectors and matrices and other simple but useful mathematical objects, functions, and data types common in computer graphics applications, including the “half” 16-bit floating-point type.
PackageMaintainerFedora Project
PackageNameopenexr-libs
PackageRelease1.fc34
PackageVersion2.5.5
SHA-1305061503694F5907133722D2917AD7398D6AEE3
SHA-2562152FB0A10B5E9003AA4AE1A7ABFDCCC756D4F59702B36D15059477C3D69AE24
Key Value
MD5607DAFAAB7A399AFC49D246CD29B92C7
PackageArchi686
PackageDescriptionPython 3 binding for OpenEXR.
PackageMaintainerFedora Project
PackageNamepython3-openexr
PackageRelease1.fc34
PackageVersion2.5.5
SHA-1A7018A1E3E1C93CB503A2B2F994B348F5FC1AA9F
SHA-256DB91D681F1FB9A6A3F8DE2488A39D4D1C03C3EAAF3084E2504C13AB9B47FDD19
Key Value
MD579209A26E6ACC52F5172B4774BBB119F
PackageArchi686
PackageDescriptionOpenEXR is an open-source high-dynamic-range floating-point image file format for high-quality image processing and storage. This document presents a brief overview of OpenEXR and explains concepts that are specific to this format. OpenEXR Features: * High dynamic range and color precision. Support for 16-bit floating-point, * 32-bit floating-point, and 32-bit integer pixels. * Multiple image compression algorithms, both lossless and lossy. Some of the included codecs can achieve 2:1 lossless compression ratios on images with film grain. The lossy codecs have been tuned for visual quality and decoding performance. * Extensibility. New compression codecs and image types can easily be added by extending the C++ classes included in the OpenEXR software distribution. New image attributes (strings, vectors, integers, etc.) can be added to OpenEXR image headers without affecting backward compatibility with existing OpenEXR applications. * Support for stereoscopic image workflows and a generalization to multi-views. * Flexible support for deep data: pixels can store a variable-length list of samples and, thus, it is possible to store multiple values at different depths for each pixel. Hard surfaces and volumetric data representations are accommodated. * Multipart: ability to encode separate, but related, images in one file. This allows for access to individual parts without the need to read other parts in the file. * Versioning: OpenEXR source allows for user configurable C++ namespaces to provide protection when using multiple versions of the library in the same process space. The IlmBase Library: Also a part of OpenEXR, the IlmBase library is a basic, light-weight, and efficient representation of 2D and 3D vectors and matrices and other simple but useful mathematical objects, functions, and data types common in computer graphics applications, including the “half” 16-bit floating-point type.
PackageMaintainerFedora Project
PackageNameopenexr-libs
PackageRelease1.fc34
PackageVersion2.5.5
SHA-1D6265B4C938BF50341119CE5D1442B8079209522
SHA-256B3441212FC2B53B64C8FDB030A6F6AAD735923127B0D9445AD081902C329A6CD
Key Value
MD5E336721E81F5514C32F07752F95A50A3
PackageArcharmv7hl
PackageDescriptionPython 3 binding for OpenEXR.
PackageMaintainerFedora Project
PackageNamepython3-openexr
PackageRelease1.fc34
PackageVersion2.5.5
SHA-1A82BAA6D7ECC47609F3B73626F0DDA919AC2A047
SHA-256DF9B6849FE69409FC8ECC45C11117468FC788C0EA6C63CA9C82419DC7F172216