in preprocess_img.py [0:0]
def align_img(img,lm,lm3D):
w0,h0 = img.size
# change from image plane coordinates to 3D sapce coordinates(X-Y plane)
lm = np.stack([lm[:,0],h0 - 1 - lm[:,1]], axis = 1)
# calculate translation and scale factors using 5 facial landmarks and standard landmarks of a 3D face
t,s = POS(lm.transpose(),lm3D.transpose())
# processing the image
img_new,lm_new = resize_n_crop_img(img,lm,t,s)
lm_new = np.stack([lm_new[:,0],223 - lm_new[:,1]], axis = 1)
trans_params = np.array([w0,h0,102.0/s,t[0],t[1]])
return img_new,lm_new,trans_params