Rembg Virtual Greenscreen Edition (Dr. Tim Scarfe)

Rembg Virtual Greenscreen Edition is a tool to create a green screen matte for videos

Video Virtual Green Screen Edition

15th Jan 2021 -- made a new YouTube explainer

• Take any video file and convert it to an alpha matte to apply for a virtual green screen
• It runs end-to-end non-interactively
• You need ffmpeg installed and on your path
• There is also a powershell script ./remove-bg.ps1 which will do the job in a manual way i.e. first create frames, then run the rembg -p ... command and then run ffmpeg to create the matte movie. This was my first approach to solve this problem but then I migrated onto just making a new version of rembg.

If you have any ideas for speeding this up further, please let us know. We have tried quite a few things at this stage and are a bit stuck on how to proceed from here. See some of the "evolution" in the Whimsical notes.

Usage;

pip install rembg-greenscreen

greenscreen -g "path/video.mp4"

Experimental parallel green screen version;

greenscreen --parallelgreenscreen "path/video.mp4" --workernodes 3 --gpubatchsize 5

The command above will produce a video.matte.mp4 in the same folder, also works with mov and avi extensions. Uses ffmpeg under the hood to stream and re-encode the frames into a grayscale matte video.

Be careful with the default parameters, my 11GB GPU is already pretty much maxed with 3 instances of the NN with 5 image gpu batches in forward pass.

You can see how much free GPU ram you have with

nvidia-smi

CLI interface

Important notes

• Don't use VBR videos, it will run forever -- use Handbrake to convert them to CFR

References

• https://arxiv.org/pdf/2005.09007.pdf
• https://github.com/NathanUA/U-2-Net (thanks to these folks for making the semantic segmentation model and publishing online)

License

• Copyright (c) 2020-present Daniel Gatis
• Copyright (c) 2020-present Dr. Tim Scarfe
• Copyright (c) 2020-present Lucas Nestler (Making it go faster and more stuff running on the GPU, thanks Lucas!)

Licensed under MIT License