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Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.

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Hi. Thanks for this interesting and wonderful piece of work! I have a question about licensing, as the title says... What would be the licence for Fine-tuned models? Is it...

Are there any tricks here? My result: MAE: 5.0 Pitch: 5.8 Yaw: 4.9 Roll: 4.4

I see that to construct rotation matrix(R) from yaw, pitch and roll angle values, you use zyx order i.e Rz * Ry * Rx, where Rz is rotation about z-axis,...

SixDRepNet2 likes a simple ResNET,does it works well?

Hi, could I achieve the 3d head position?

The demo file runs the camera. How to make inference on videos and images? I want below results that was represented in your paper. ![image](https://user-images.githubusercontent.com/65652168/158527007-acae3214-c30e-4d8d-9307-a3a1451e7de3.png) Thanks

Hi,@thohemp ![image](https://user-images.githubusercontent.com/49524647/158544204-d2cb975c-e59b-418c-90c0-a1d76c585fa9.png)

Update `pip install` instruction to conform to new standard. Reference `python3` documentation: https://docs.python.org/3/installing/index.html#basic-usage

Excellent work! Does the pip installation package support Linux aarch64?