MediaPipe Hands: On-device Real-time Hand Tracking
Paper • 2006.10214 • Published
Pre-trained MediaPipe Hand Landmarker model for hand detection and 21-point landmark estimation.
Apache License 2.0 — Copyright Google LLC
This model file is redistributed under the original Apache 2.0 License from Google's MediaPipe project. Full license text: https://github.com/google-ai-edge/mediapipe/blob/master/LICENSE
| File | Size | Description |
|---|---|---|
hand_landmarker.task |
7.5 MB | MediaPipe Hand Landmarker (float16) |
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(repo_id="Leo-TX/mediapipe-hand", filename="hand_landmarker.task")
Downloaded from:
https://storage.googleapis.com/mediapipe-models/hand_landmarker/hand_landmarker/float16/latest/hand_landmarker.task
@article{zhang2020mediapipe,
title={MediaPipe Hands: On-device Real-time Hand Tracking},
author={Zhang, Fan and Bazarevsky, Valentin and Vakunov, Andrey and Tkachenka, Andrei
and Sung, George and Chang, Chuo-Ling and Grundmann, Matthias},
journal={arXiv preprint arXiv:2006.10214},
year={2020}
}