def generate_bfm_base_obj():
bfm = MorphabelModel('../Data/BFM/Out/BFM.mat')
sp = bfm.get_shape_para('zero')
ep = bfm.get_exp_para('zero')
tp = bfm.get_tex_para('random')
vertices = bfm.generate_vertices(sp, ep)
colors = bfm.generate_colors(tp)
colors = np.minimum(np.maximum(colors, 0), 255)
write_obj_with_colors('head_fit.obj', vertices, bfm.triangles, colors)
from skimage import io
from time import time
import matplotlib.pyplot as plt
sys.path.append('..')
import face3d
from face3d import mesh
from face3d.morphable_model import MorphabelModel
# --------------------- Forward: parameters(shape, expression, pose) --> 3D obj --> 2D image ---------------
# --- 1. load model
bfm = MorphabelModel('Data/BFM/Out/BFM.mat')
print('init bfm model success')
# --- 2. generate face mesh: vertices(represent shape) & colors(represent texture)
sp = bfm.get_shape_para('random')
ep = bfm.get_exp_para('random')
vertices = bfm.generate_vertices(sp, ep)
tp = bfm.get_tex_para('random')
colors = bfm.generate_colors(tp)
colors = np.minimum(np.maximum(colors, 0), 1)
# --- 3. transform vertices to proper position
s = 8e-04
angles = [10, 30, 20]
t = [0, 0, 0]
transformed_vertices = bfm.transform(vertices, s, angles, t)
projected_vertices = transformed_vertices.copy(
) # using stantard camera & orth projection
from time import time
import matplotlib.pyplot as plt
sys.path.append('..')
import face3d
from face3d import mesh
from face3d import mesh_cython
from face3d.morphable_model import MorphabelModel
# --------------------- Forward: parameters(shape, expression, pose) --> 3D obj --> 2D image ---------------
# --- 1. load model
bfm = MorphabelModel('Data/BFM/Out/BFM.mat')
print('init bfm model success')
# --- 2. generate face mesh: vertices(represent shape) & colors(represent texture)
sp = bfm.get_shape_para('random')
ep = bfm.get_exp_para('random')
vertices = bfm.generate_vertices(sp, ep)
tp = bfm.get_tex_para('random')
colors = bfm.generate_colors(tp)
colors = np.minimum(np.maximum(colors, 0), 1)
# --- 3. transform vertices to proper position
s = 8e-04
angles = [10, 30, 20]
t = [0, 0, 0]
transformed_vertices = bfm.transform(vertices, s, angles, t)
projected_vertices = transformed_vertices.copy() # using stantard camera & orth projection
# --- 4. render(3d obj --> 2d image)
for filename in glob.glob('{}/predicted_*.npy'.format(save_folder)):
i = os.path.splitext(os.path.basename(filename))[0].split('_')[-1]
params = np.load(filename)
params = np.float32(params)
# sp = params[: bfm.n_shape_para][:, np.newaxis]
# tp = params[bfm.n_shape_para : bfm.n_shape_para + bfm.n_tex_para][:, np.newaxis]
# pose = params[bfm.n_shape_para + bfm.n_tex_para:]
ep = params[:bfm.n_exp_para][:, np.newaxis]
pose = params[bfm.n_exp_para:]
# --- 2. generate face mesh: vertices(represent shape) & colors(represent texture)
sp = bfm.get_shape_para('zero')
#ep = bfm.get_exp_para('zero')
tp = bfm.get_tex_para('zero')
colors = bfm.generate_colors(tp)
colors = np.minimum(np.maximum(colors, 0), 1)
# --- 3. transform vertices to proper position
s = pose[-1]
angles = pose[:3]
t = np.r_[pose[3:5], [0]]
vertices = bfm.generate_vertices(sp, ep)
transformed_vertices = bfm.transform(vertices, s, angles, t)