1adrianb / 1adrianb/face-alignment
3D landmark dataset to 2D 68 points
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Descripción
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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Línea de trabajo
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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Evaluación
- Stack tecnológico
- python, pytorch
- Área
- computer-vision, machine-learning
- Tipo de issue
- Nueva funcionalidad
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 30/100