Av1an
oss-fuzz
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Av1an | oss-fuzz | |
---|---|---|
65 | 29 | |
1,326 | 9,598 | |
- | 2.0% | |
7.3 | 9.9 | |
21 days ago | about 14 hours ago | |
Rust | Shell | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Av1an
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Guide to Adopting AV1 Encoding
The hardware encoders are very fast and generally better than x264 (but not by as much as you'd think with the x264 slow preset).
In addition, there are threaded AV1 encoders you may be overlooking, like SVT-AV1. For non-realtime, my favorite is av1an, which also yields better quality than is possible from aomenc: https://github.com/master-of-zen/Av1an
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Automatic choose encode settings?
Basically Av1an.
There's also Av1an as suggested by someone else. It's going to produce more efficient encodes because it uses chunk-based encoding to reach the required VMAF for every single chunk, but this is also slower because every chunk will be re-encoded until the VMAF target is reached. It's also a PITA to compile, has a long list of bugs, and isn't very actively developed. One of the long-standing issues is that frames have a tendency to go missing during splitting, which IME is going to keep happening when the input files aren't standardized. And thus the recommendation is to transcode the input to lossless first, which is just completely unsustainable.
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VMAF is confusing me
Have you seen Av1an? It's supposed to encode to a target VMAF.
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[Guide] Installing av1an on Ubuntu 22.04
git clone https://github.com/master-of-zen/Av1an cd Av1an cargo build --release sudo ldconfig
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AV1 Encoder development series Part 1: working on rav1e in a different, better and more forward manner
Here's a couple of pages that cover the basics of aomenc: https://github.com/master-of-zen/Av1an/blob/master/docs/Encoders/aomenc.md https://gist.github.com/shssoichiro/a46ff01db70243c1719479f6518ea34d For more of a deep dive into settings, you can join the discord, lots of people share their settings and you can see what's working well for others.
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Should I recompress video I shot with mobile?
Av1an can even aim for a target quality.
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did I fail at preserving dvds? mpeg2 vs h264 vs av1
I like using NotEnoughAV1Encodes. There's also Av1an, and ab-av1.
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Currently impossible to use av1an on Windows?
In your case, I'd get one of the [nightly builds](https://github.com/master-of-zen/Av1an/releases/tag/latest) of Av1an. They should work with ffmpeg 5.
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Guide how to use av1an ?
1.9 release notes with Dynamic Progress Bar, Batch Encode, Config files https://github.com/master-of-zen/Av1an/releases/tag/1.9
oss-fuzz
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Ask HN: Any Good Fuzzer for gRPC?
Have you tried Googles grpc fuzzer?
https://github.com/google/oss-fuzz/blob/master/projects/grpc...
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Pacemaker should be running open source software
https://www.fda.gov/medical-devices/digital-health-center-ex...
oss-fuzz: https://github.com/google/oss-fuzz :
> We support the libFuzzer, AFL++, and Honggfuzz fuzzing engines in combination with Sanitizers, as well as ClusterFuzz, a distributed fuzzer execution environment and reporting tool.
> Currently, OSS-Fuzz supports C/C++, Rust, Go, Python, Java/JVM, and JavaScript code. Other languages supported by LLVM may work too. OSS-Fuzz supports fuzzing x86_64 and i386 builds.
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Fuzz Testing Is the Best Thing to Happen to Our Application Tests
I love fuzzing as a technique and use it quite regularly, but running AFL++ on even a single program occupies all threads of a high end AMD server for weeks. I'm running it locally so only paying for the electricity. If it was a cloud instance it would cost a small fortune. I think this is a reason it is not used more widely.
I will note that Google have a programme for doing fuzz testing on open source projects using computer from their cloud: https://google.github.io/oss-fuzz/
- ELI5: How can downloading a pdf or word file give you a virus?
- OSS-Fuzz – continuous fuzzing for open source software
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Java Fuzzing with Jazzer compared to Symflower
We will explore how Jazzer is used to automatically generate malicious inputs for Java programs, and how it compares to Symflower, which can automatically generate unit tests to uncover bugs and errors in your code. With the help of Jazzer, many bugs - some of them even in the OpenJDK - were found already. Also, as of March 2021, Jazzer is officially part of OSS-Fuzz, Google's cloud fuzzing engine. It should be noted that Jazzer is a pure "bug detection" utility that finds reproducers for errors in user code. Symflower can do the same, but provides additional functionalities to boost developer productivity, like generating high coverage unit tests and providing test templates for the software developer or tester.
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OpenSSL added new C parser code [...] without doing any basic security testing
I find it odd that Google's oss-fuzz didn't find this a long time ago.
https://github.com/google/oss-fuzz/blob/master/projects/open...
- Learnings from 5 Years of Tech Startup Code Audits
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Google supports Monero in new OSS security initiative
Element of truth in it.. https://github.com/google/oss-fuzz/blob/master/projects/monero/project.yaml
What are some alternatives?
HandBrake - HandBrake's main development repository
SVT-AV1
FastFlix - FastFlix is a free GUI for HEVC and AV1 encoding, GIF/WebP/AVIF creation, and more!
NotEnoughAV1Encodes - GUI for AV1 (aomenc, rav1e & svt-av1)
FFmpeg-Builds
ab-av1 - AV1 re-encoding using ffmpeg, svt-av1 & vmaf.
nmkoder - Media encoding, muxing, analysis toolkit for Windows
vmaf - Perceptual video quality assessment based on multi-method fusion.
FFmpeg-Builds - FFmpeg Builds for yt-dlp
AFLplusplus - The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!
digital_video_introduction - A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
ffmpeg-quality-metrics - Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)