Comments (5)
As stated in the code comments it is the TensorFlow.js official bodypix model that does the body segmentation. (see https://github.com/tensorflow/tfjs-models/tree/master/body-pix)
You can see it in action here with my easy to get started tutorial on Glitch: https://glitch.com/~tensorflow-js-body-segmentation or Codepen: https://codepen.io/jasonmayes/pen/QWbNeJd
On top of this I then wrote my own custom algorithm to use that knowledge of body pixels to learn background over time as people move about the scene. I do some clean up too as the body pix model is not perfect - it will leave slight halo around the person where it classifies as not body when the pixel is part of body, so I use a sliding window effect to do rougher approximation to ensure no body is taken. If halo is left then whole image becomes that colour as person moves so that must be removed. This takes more processing time though, but I have an idea how to optimize that later.
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I also want to know
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detection->crop->paste?
from real-time-person-removal.
detection -> sliding window to improve detection -> background update -> body removal
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how do you perform "body removal"?
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Related Issues (14)
- That's amazing, within less than 200 lines of JS code? HOT 1
- works fine in case person is standing little longer distance but not when person is at shorter distance HOT 1
- can this process of updating pixels be made faster for live streaming this video ? HOT 1
- how could i
- how could i use it HOT 4
- Test
- nice project! I wonder if I can use that on android HOT 1
- How about using the mask provided in official BodyPix model? HOT 2
- I use your bodyPix to create realtime background removal HOT 1
- replace background rather than remove person HOT 1
- Can I use this for inverse work? HOT 1
- Real time
- Will this remove my ex? HOT 1
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