Vid2vid - High-quality video conversion library

in #steemhunt6 years ago

Vid2vid

High-quality video conversion library


Screenshots

Screen Shot 2018-08-30 at 10.38.22.png

Screen Shot 2018-08-30 at 10.38.32.png
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Hunter's comment

When you want to process a regular video, you will see a very large render time. NVIDIA is starting to build a library for you to work with python.

There is a need to process the videos. Artificial intelligence tools are required to make these videos. Decomposition of objects, determination of facial lines, etc.

With Vid2vid you can make a data in your can be render in video. After this rendering process, it will now be possible to identify objects that the computer understands.

NOTE: One of the problems in artificial intelligence projects is getting data. This library data allows you to make meaning and use the data.


Link

https://github.com/NVIDIA/vid2vid


Contributors

Hunter: @tolgahanuzun



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It’s a nice project and I just wanted to ask does the code is open source. Thanks for sharing this project.

Hello, @tolgahanuzun thanks for your hunt.

• Video to Video Translation
• Edge to Face Results

Great Hunt!

Pros:

  • It can be used for turning semantic labelled maps into photo-realistic videos.
  • It can synthesizing human talking from edge maps and generates human motions from poses.
  • It uses an high resolution photorealistic video-to-video translation.

Great hunt 👍

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