pipeless VS FaceFusion

After spending some months working on the Pipeless open-source framework, today I bring something new and really cool: Pipeless Agents

pipeless init my-project --template empty # Using the empty template we avoid the interactive shell cd my-project wget -O - https://github.com/pipeless-ai/pipeless/archive/main.tar.gz | tar -xz --strip=2 "pipeless-main/examples/yolo"

wget -O - https://github.com/pipeless-ai/pipeless/archive/main.tar.gz | tar -xz --strip=2 "pipeless-main/examples/onnx-yolo"

Check the live demo in the website

The code is available in the Pipeless GitHub repository: https://github.com/pipeless-ai/pipeless/tree/main/examples/yolo

Recently, a new alternative called Pipeless has appeared. Pipeless is an open-source framework that focuses on providing a great development experience and out-of-the-box performance. It offers a really easy stream management allowing you to add, edit, and remove streams on the fly as well as processing multiple streams. Furthermore, it offers you the possibility to deploy the applications either to the cloud or directly to embedded or edge devices.

You can find the repo here: https://github.com/pipeless-ai/pipeless

Pipeless is an open-source computer vision framework that ships everything you need to build and deploy computer vision applications really fast.

There's no mitigation, the technology is out there for anyone to use:

https://github.com/facefusion/facefusion

Together with diffusion models we better get used to not take a video for proof that something happened. The way we already don't trust photos, because it's has been trivial to make convincing face swaps with Photoshop for a long time.

just download https://github.com/facefusion/facefusion . it very easy to use and results are amazing if face is not full screen. And with coqui_tts you can clone anyones voice form 10-20 second audio. Deepfakes got very dangerous already. Roop (Facefuiosn) also works real-time via webcam (rtx 3060 can easily handle it) Frankly it's kinda scary already. I gues in 12-20 months quality of that stuff will dramatically improve and even on 4k footage, it will be impossible to spot deepfake for 90% of population.