Comments (1)
The in-frame faces should be always identifiable with the same ID, or something, until they leave the frame.
I have experimented with that in details, but the problem is much larger than you'd expect.
for example, simple scenario with two people: what if one person walks in front of another so they temporarily overlap and then they separate again? which one is which?
i've tried some simple predictive analysis based on trajectory between different frames, but its unreliable.
and anything more would require significant calculations that would slow down the app drastically.
and you have all the information available - so you can do that outside of the library - this is not something that i plan to add as a feature inside the library itself.
from human.
Related Issues (20)
- Questions on using the face meshes to make masks HOT 1
- The highest priority backend 'webgpu' has not yet been initialized. HOT 6
- camera images sometimes out of focus - adding focusMode? HOT 3
- Facing “Reference Error: tJ is not defined” error when trying to precompile using "npm run build" command. HOT 2
- Is it possible to detect pinch gesture with one hand 2 fingers or two hands each with 2 fingers HOT 2
- Blaze resized image normalization HOT 1
- Identification Failures near Glass Windows and Glasses HOT 2
- Is there any way to tell whether to wear a mask? HOT 3
- Recognizing the wrong person HOT 1
- TypeError: Human is not a constructor HOT 3
- error loading model: @vladmandic/human-models/models/blazeface.json TypeError: Failed to parse URL from @vladmandic/human-models/models/blazeface.json HOT 1
- Feature: Enhance head pose estimation HOT 7
- Accessing leftEye/rightEye/mouth/nose face landmarks HOT 1
- How to use alternative face description models? HOT 1
- Using mobilenet as face detection model HOT 4
- Similarity score doesn't seem correct on some devices HOT 1
- Feature: Padding Input image to square improves face detection HOT 1
- Feature: New tehcnique to compute the gaze vector HOT 3
- Error: Argument 'x' passed to 'squeeze' must be a Tensor or TensorLike, but got 'null' HOT 4
- Tensors resulting from face detection seemingly cannot be accessed and disposed HOT 6
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from human.