How do I ensure high-quality face alignment and cropping when preparing datasets for deepfake generation

Question

With the help of code, can you tell me How do I ensure high-quality face alignment and cropping when preparing datasets for deepfake generation?

Answer 1

To achieve high-quality face alignment and cropping, use tools like MTCNN or dlib for precise facial landmark detection and affine transformations. 

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Precise Face Detection: Uses dlib for accurate facial landmark extraction.
• Automatic Face Alignment: Aligns eyes horizontally to maintain consistency.
• Affine Transformations: Ensures uniform positioning across the dataset.
• High-Quality Cropping: Extracts only the face region for deepfake training.
• Scalability: Works on large datasets for batch processing.

Hence, by referring to the above, you can ensure high-quality face alignment and cropping when preparing datasets for a deepfake generation.