doughtmw/HoloLens2-Machine-Learning
Using deep learning models for image classification directly on the HoloLens 2.
This project allows you to classify objects in the real world using a HoloLens 2 augmented reality headset. It takes live video frames from the HoloLens 2 camera as input and outputs the predicted label of the object, its probability, and the time taken for classification. This is useful for developers who want to integrate on-device image recognition directly into their HoloLens 2 applications.
111 stars. No commits in the last 6 months.
Use this if you are a developer looking to implement real-time, on-device image classification for objects in a HoloLens 2 mixed reality application without relying on cloud-based processing.
Not ideal if you need to train custom machine learning models or require classification for objects outside the 1000 categories covered by the ImageNet dataset.
Stars
111
Forks
30
Language
C#
License
MIT
Category
Last pushed
May 02, 2022
Commits (30d)
0
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