6DRepNet
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Official Pytorch implementation of 6DRepNet: 6D Rotation representation for unconstrained head pose estimation.
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.  Thanks
Hi,@thohemp 
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?