Comments (5)
Hi,
In order to map a different texture you will need to provide the texture coordinates to textureCoords in line 41 in zad2.py file. Altenatively, if the texture you want to use resembles a face, but is too hard for the landamark detector to work you can modify the getTextureCoords function to work with manually specified facial landmarks.
Marek
from faceswap.
Hi,Can you explain the function getTextureCoords?
from faceswap.
Hi,
given an imagee, this function detects the face and its landmarks.
It then fits the 3D model to the landmarks and outputs the image coordinates to which the vertices of the 3D model project to.
Marek
from faceswap.
Hi ,Thanks for your response!Actually I don't know the code details.Could you note with english?hhhhh
def fun(self,x,params):
#skalowanie
s = params [0]
#rotacja
r = params [1:4]
#przesuniecie(translacja)
t = params [4:6]
w = params [6: ]
mean3DShape = x[0]
blendshapes = x[1]
#macierz rotacji z wektora rotacji, wzor Rodriguesa
R = cv2.Rodrigues(r)[0]
P = R[:2]
shape3D = mean3DShape + np.sum(w[:, np.newaxis, np.newaxis] * blendshapes, axis=0)
projected = s * np.dot(P, shape3D) + t[:, np.newaxis]
return projected
from faceswap.
Her eit is:
def fun(self,x,params):
#scale
s = params [0]
#rotation
r = params [1:4]
#translation
t = params [4:6]
w = params [6: ]
mean3DShape = x[0]
blendshapes = x[1]
# going from rotation vector to rotation matrix, Rodrigues formula
R = cv2.Rodrigues(r)[0]
P = R[:2]
# 3D shape is sum of mean shape and weighted sum of blendshapes
shape3D = mean3DShape + np.sum(w[:, np.newaxis, np.newaxis] * blendshapes, axis=0)
# Orthographic projection
projected = s * np.dot(P, shape3D) + t[:, np.newaxis]
return projected
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