Package vmaf-2.3.0-2.el9.src
| Name | vmaf |
|---|---|
| Epoch | 0 |
| Version | 2.3.0 |
| Release | 2.el9 |
| Architecture | src |
| Website/URL | https://github.com/netflix/vmaf |
| License | BSD-2-Clause-Patent |
| Build Time | 2023-07-02 21:03:51 |
| Build Host | builder-x86-03.inferitos.ru |
| Summary | Video Multi-Method Assessment Fusion |
| Repositories | Extras |
| Description | VMAF is a perceptual video quality assessment algorithm developed by Netflix. VMAF Development Kit (VDK) is a software package that contains the VMAF algorithm implementation, as well as a set of tools that allows a user to train and test a custom VMAF model. For an overview, read this tech blog post, or this slide deck. https://github.com/Netflix/vmaf/blob/master/resource/doc/VMAF_ICIP17.pdf |
| Errata | — |
| Size | 17948 KiB |
| Source Project | vmaf-2.3.0-2.el9 |
| SHA-256 checksum | fcca7ac6294f6f20418f007acd2a331034d805123ecead0ba05e882dd7143748 |
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* Sun Jul 02 2023 Arkady L. Shane <ashejn@msvsphere.ru> - 2.3.0-2 - Rebuilt for MSVSphere 9.2 * Sat Dec 11 2021 Leigh Scott <leigh123linux@gmail.com> - 2.3.0-2 - Add models sub-package * Fri Dec 10 2021 Leigh Scott <leigh123linux@gmail.com> - 2.3.0-1 - Update to 2.3.0 * Fri Jul 23 2021 Fedora Release Engineering <releng@fedoraproject.org> - 2.1.1-2 - Rebuilt for https://fedoraproject.org/wiki/Fedora_35_Mass_Rebuild