Key | Value |
---|---|
FileName | ./usr/lib64/libImath-2_5.so.25 |
FileSize | 22 |
MD5 | AB588B866FDBD41742ECF77D582E4E38 |
SHA-1 | 125D4A59649F0FB4F4941680B329E71DAC603453 |
SHA-256 | 63F59111E670C06ACD8E83B00D0B431AC1E464DC9106C7BACD06A07D5E328E48 |
SSDEEP | 3:EsIEcX7LWCQLVln:EsItrLW1l |
TLSH | |
hashlookup:parent-total | 4 |
hashlookup:trust | 70 |
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 |
---|---|
MD5 | 9477D84B478B24E148CCEBAD1C8CB4CE |
PackageArch | x86_64 |
PackageDescription | OpenEXR 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. |
PackageMaintainer | Fedora Project |
PackageName | openexr-libs |
PackageRelease | 1.fc34 |
PackageVersion | 2.5.5 |
SHA-1 | 7605959B4A12DF84EBCBD6FDAA6CCB884BA10F29 |
SHA-256 | B7BD3BCF2C2B51CEA65FFEE41D0DDA0D0D7F6EBFA093F4794D745C422708665E |
Key | Value |
---|---|
MD5 | DFA782AAD9760BCD70EE29DC31BCEE65 |
PackageArch | armv7hl |
PackageDescription | OpenEXR 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. |
PackageMaintainer | Fedora Project |
PackageName | openexr-libs |
PackageRelease | 1.fc34 |
PackageVersion | 2.5.5 |
SHA-1 | 305061503694F5907133722D2917AD7398D6AEE3 |
SHA-256 | 2152FB0A10B5E9003AA4AE1A7ABFDCCC756D4F59702B36D15059477C3D69AE24 |
Key | Value |
---|---|
MD5 | 4167D7DE9B7AB2FA107BCF19F57CECA0 |
PackageArch | aarch64 |
PackageDescription | OpenEXR 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. |
PackageMaintainer | Fedora Project |
PackageName | openexr-libs |
PackageRelease | 1.fc34 |
PackageVersion | 2.5.5 |
SHA-1 | 088CDF17DBF72B8ED6DFD7E347477B99528C0860 |
SHA-256 | 8A579EE119471860EFAE4E4BC82FD9974F153FFEC56B0C1B9766BC386B46F450 |
Key | Value |
---|---|
MD5 | 79209A26E6ACC52F5172B4774BBB119F |
PackageArch | i686 |
PackageDescription | OpenEXR 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. |
PackageMaintainer | Fedora Project |
PackageName | openexr-libs |
PackageRelease | 1.fc34 |
PackageVersion | 2.5.5 |
SHA-1 | D6265B4C938BF50341119CE5D1442B8079209522 |
SHA-256 | B3441212FC2B53B64C8FDB030A6F6AAD735923127B0D9445AD081902C329A6CD |