vmaf VS oss-fuzz

Netflix did VMAF for this: https://github.com/Netflix/vmaf

It checks a reference video against an encoded video and returns a score representing how close the encoded video appears to the original from a human perspective.

Not sure this is the right sub but I'm going to encode my entire BluRay collection in AV1 / NVEC. I'd like to optimize settings with VMAF but would like an ubuntu/debian based GUI to work with.

VMAF for anybody that doesn't know quantifies the quality difference between a source and modified video.

Netflix even has a method to measure perceivable quality difference. A little while ago I used this tool to calculate this.

Well you can use something like https://mediaarea.net/en/MediaInfo to look at the files and https://github.com/Netflix/vmaf to see if there is no loss.

Vmaf exists

You can try some tests https://github.com/Netflix/vmaf

You can try VMAF as well (which ffmpeg supports). It's normally recommended to make a lossless copy first as a baseline too

> because the ifunc code was breaking with all sorts of build options and obviously caused many problems with various sanitizers

for example, https://github.com/google/oss-fuzz/pull/10667

Have you tried Googles grpc fuzzer?

https://github.com/google/oss-fuzz/blob/master/projects/grpc...

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.

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/

Yes, mosh has fuzz tests in oss-fuzz [1].

[1] https://github.com/google/oss-fuzz/tree/master/projects/mosh

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.