1adrianb / 1adrianb/face-alignment

3D landmark dataset to 2D 68 points

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Python
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描述

Hi,
Thank you for sharing your work.
I there anyway to convert the 3D landmark dataset to 2D 68 point landmark (without occluded) as shown in the **Detect 2D facial landmarks in pictures** part in https://github.com/1adrianb/face-alignment.

Thank you.
tsly

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研究方向

The issue asks about converting a 3D landmark dataset to 2D 68-point landmarks, referencing the 'Detect 2D facial landmarks in pictures' section of the repository. Start by examining the existing 2D landmark detection code in the repository, likely in the face_alignment module. Understand how the current 2D projection or conversion works, and research the dataset structure for 3D landmarks. 'Done' would be a script or method that takes 3D landmarks and outputs the corresponding 2D 68-point set without occluded points.

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評估

技術堆疊
python, pytorch
領域
computer-vision, machine-learning
Issue 類型
功能
難度
4/5
預估耗時
3-5 天
活躍度
停滯
描述清晰度
基本清楚
新手友好度
30/100

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