Result for 3235F000855264D3DA29DD0428DF115FDC8B7BAA

Query result

Key Value
FileName./usr/lib64/libIlmImf-2_5.so.25
FileSize23
MD581550CD7C57AC1CE071B613151F1F395
SHA-13235F000855264D3DA29DD0428DF115FDC8B7BAA
SHA-256ECD5B7551D6051276975B4B3E40FE8753853799D000799F16F4F2EAE3F810E01
SSDEEP3:EsJR+IhQLVln:EsCVl
TLSH
hashlookup:parent-total4
hashlookup:trust70

Network graph view

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
MD59477D84B478B24E148CCEBAD1C8CB4CE
PackageArchx86_64
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-17605959B4A12DF84EBCBD6FDAA6CCB884BA10F29
SHA-256B7BD3BCF2C2B51CEA65FFEE41D0DDA0D0D7F6EBFA093F4794D745C422708665E
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
MD54167D7DE9B7AB2FA107BCF19F57CECA0
PackageArchaarch64
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-1088CDF17DBF72B8ED6DFD7E347477B99528C0860
SHA-2568A579EE119471860EFAE4E4BC82FD9974F153FFEC56B0C1B9766BC386B46F450
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