two problems. about faceswap HOT 3 CLOSED

1. Smaller face brings better visual quality.
2. Do you have any visual result?

from faceswap.

@wuhuikai Thanks for your reply.

Got 1. For q2:

This a simple demo code:

import cv2
import numpy as np

ori_img = cv2.imread("xxx/ori_img1.png")
img2 = cv2.imread("xxx/img2.png")

# Poisson Blending
h, w = img2.shape[:2]
center = (102 + int(w / 2), 120 + int(h / 2))
face_mask = 255 * np.ones(img2.shape, img2.dtype)  # Create an all white mask
result = cv2.seamlessClone(img2, ori_img, face_mask, center, cv2.NORMAL_CLONE)

After poisson Blending, I find that there is a little white part on the upper right corner of result face.

ori_img.png
im2.png
result.png

from faceswap.

That's the issue of Poisson Image Editing, please try another blending algos such as drag and drop.

from faceswap.