Name: | vmaf |
---|---|
Version: | 1.3.15 |
Release: | 2.el8 |
Architecture: | x86_64 |
Group: | Unspecified |
Size: | 3010842 |
License: | ASL 2.0 |
RPM: | vmaf-1.3.15-2.el8.x86_64.rpm |
Source RPM: | vmaf-1.3.15-2.el8.src.rpm |
Build Date: | Sun Dec 13 2020 |
Build Host: | jenkins-172-17-0-2-04ba81f5-a969-4fbf-919d-b7359bd5720a.blddevtest1iad.osdevelopmeniad.oraclevcn.com |
Vendor: | Oracle America |
URL: | https://github.com/netflix/vmaf |
Summary: | Video Multi-Method Assessment Fusion |
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 |
- Rebuild for pugixml 1.11.
- Update to 1.3.15
- Rebuilt for https://fedoraproject.org/wiki/Fedora_31_Mass_Rebuild
- Update to 1.3.14 - Rebase patches
- Rebuilt for https://fedoraproject.org/wiki/Fedora_30_Mass_Rebuild
- Update to 1.3.9 up to 20180914
- Initial spec file