https://github.com/natmlx/blazepalm-unity

Hand landmark prediction with MediaPipe Hands in Unity Engine.
https://github.com/natmlx/blazepalm-unity

computer-vision gesture-detection hand-tracking machine-learning mediapipe natml unity3d

Last synced: 22 days ago
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Hand landmark prediction with MediaPipe Hands in Unity Engine.

• Host: GitHub
• URL: https://github.com/natmlx/blazepalm-unity
• Owner: natmlx
• License: apache-2.0
• Created: 2022-09-01T16:06:30.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-21T14:17:42.000Z (about 2 years ago)
• Last Synced: 2024-11-15T01:21:02.979Z (11 months ago)
• Topics: computer-vision, gesture-detection, hand-tracking, machine-learning, mediapipe, natml, unity3d
• Language: C#
• Homepage: https://demos.natml.ai/@natml/blazepalm-landmark
• Size: 1.83 MB
• Stars: 8
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# BlazePalm

![demo](demo.gif)

Palm landmark prediction with MediaPipe Hands in Unity Engine.

## Running the Sample

Retrieve your access key from [NatML Hub](https://hub.natml.ai/profile) and add it to your Project Settings:

![project settings](https://github.com/natmlx/videokit/raw/main/Media/set-access-key.gif)

## Using the Predictor in a Different Project

[See the predictor README for more details](Packages/ai.natml.vision.blazepalm/README.md).

## Requirements

- Unity 2022.3+

## Supported Platforms

- Android API level 24+

- iOS 13+

- macOS 10.15+ (Apple Silicon and Intel)

- Windows 10+ (64-bit only)

- WebGL:

    - Chrome 91+

    - Firefox 90+

    - Safari 16.4+

## Resources

- Join the [NatML community on Discord](https://natml.ai/community).

- See the [NatML documentation](https://docs.natml.ai/unity).

- Check out [NatML on GitHub](https://github.com/natmlx).

- Contact us at [hi@natml.ai](mailto:hi@natml.ai).

Thank you very much!