- Replace float64 with float32 in apply_mouth_area() blending masks —
float32 provides sufficient precision for 8-bit image blending and
halves memory bandwidth
- Use float32 in apply_mask_area() mask computations
- Vectorize hull padding loop in create_face_mask() (face_masking.py)
replacing per-point Python loop with NumPy array operations
- Fix apply_color_transfer() to use proper [0,1] LAB conversion —
cv2.cvtColor with float32 input expects [0,1] range, not [0,255]
- Pre-compute inverse masks to avoid repeated (1.0 - mask) subtraction
- Use np.broadcast_to instead of np.repeat for face mask expansion
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Lauri Gates