1adrianb / 1adrianb/face-alignment
3D landmark dataset to 2D 68 points
- 主要語言
- Python
- 星號
- 7.5k
- 分支
- 1.4k
- PR 合併指標
- 30 天內沒有已合併 PR
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