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Machine learning as a spacial computing app.
We have designed the app's UI with spacial computing in mind. So they should work the best in VR (i.e. via WebVR using an HMD and controllers).
However, the apps are still usable as well in web browsers with the traditional mouse interface.
Credits: We have used the TensorSpace <https://github.com/tensorspace-team/tensorspace>
__ library that enables us to elegantly design, build, and visualize
TensorFlow.js <https://github.com/tensorflow/tfjs>
__ based machine learning models.
Demos
live <https://w3reality.github.io/spacial-ml/examples/lenet/index.html>
__ | source <https://github.com/w3reality/spacial-ml/tree/master/examples/lenet/index.html>
__ | video (UI) <https://w3reality.github.io/spacial-ml/examples/media/ui.mp4>
__ | video (predictions) <https://w3reality.github.io/spacial-ml/examples/media/predict.mp4>
__ ]Screen shots
.. image:: https://w3reality.github.io/spacial-ml/examples/media/desktop.jpg :target: https://w3reality.github.io/spacial-ml/examples/lenet/index.html
.. image:: https://w3reality.github.io/spacial-ml/examples/media/ui.jpg :target: https://w3reality.github.io/spacial-ml/examples/lenet/index.html
.. image:: https://w3reality.github.io/spacial-ml/examples/media/predict.jpg :target: https://w3reality.github.io/spacial-ml/examples/lenet/index.html
FAQs
Machine learning as a spacial computing app
The npm package spacial-ml receives a total of 0 weekly downloads. As such, spacial-ml popularity was classified as not popular.
We found that spacial-ml demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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