jp.keijiro.bodypix
Advanced tools
BodyPix person segmentation and pose estimation model for Unity Sentis.
BodyPixSentis is an implementation of the BodyPix person segmentation and pose estimation model that runs on the Unity Sentis neural network inference library.
I converted the original BodyPix model (provided as tfjs) into ONNX using tfjs-to-tf and tf2onnx. See the Colab notebook for further details.
This package supports the ResNet architecture (more accurate but slower and bigger models) but doesn't contain those ONNX files due to the file size limit of GitHub and npm.js. You can download them from here instead.
To use those models, create a new BodyPix ResourceSet file and set the model, architecture, and stride fields accordingly.
This package uses the scoped registry feature to resolve package dependencies. Open the Package Manager page in the Project Settings window and add the following entry to the Scoped Registries list:
Keijirohttps://registry.npmjs.comjp.keijiro
Now you can install the package from My Registries page in the Package Manager window.
FAQs
BodyPix person segmentation and pose estimation model for Unity Sentis.
The npm package jp.keijiro.bodypix receives a total of 244 weekly downloads. As such, jp.keijiro.bodypix popularity was classified as not popular.
We found that jp.keijiro.bodypix demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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