def generate_mean_face():
print("generating mean face shapes")
mean_exp = np.load(('../data/{}/MeanFace_data.npy').format('disentangle'))
try:
os.makedirs('../data/FWH/Mean_Face')
except:
pass
for i in range(47):
V2M2(get_mesh('../data/disentangle/Mean_Face.obj', mean_exp[i]+cross_id), '../data/FWH/Mean_Face/shape_{}.obj'.format(i), ref_name = '../data/disentangle/Mean_Face.obj')
write_align_mesh('../data/FWH/Mean_Face/shape_{}.obj'.format(i),
'../data/disentangle/Mean_Face.obj',
'../data/FWH/Mean_Face/shape_{}.obj'.format(i),
index = np.loadtxt('front_part_v.txt',dtype=int))
def generate_dr_feature():
print("generating dr feature")
for j in range(1,151):
try:
os.makedirs('../data/FWH/Tester_{}'.format(j))
except:
pass
for i in range(47):
print('dealing with Tester_{}, Shape_{}'.format(j,i))
write_align_mesh('../data/FaceWarehouse_Data/Tester_{}/Blendshape/shape_{}.obj'.format(j,i),
'../data/FWH/Mean_Face/shape_{}.obj'.format(i), #'../data/disentangle/Mean_Face.obj',
'../data/FWH/Tester_{}/shape_{}.obj'.format(j,i),
index = np.loadtxt('front_part_v.txt',dtype=int))
dr_feature = get_dr('../data/disentangle/Mean_Face.obj',
'../data/FWH/Tester_{}/shape_{}.obj'.format(j,i))
dr_feature.tofile('../data/FWH/Tester_{}/face_{}.dat'.format(j,i))