def get_hres_smpl_model_data(self):
dd = pkl.load(open(self.get_smpl_file()), encoding='latin-1')
backwards_compatibility_replacements(dd)
hv, hf, mapping = get_hres(dd['v_template'], dd['f'])
num_betas = dd['shapedirs'].shape[-1]
J_reg = dd['J_regressor'].asformat('csr')
model = {
'v_template':
hv,
'weights':
np.hstack([
np.expand_dims(np.mean(mapping.dot(
np.repeat(np.expand_dims(dd['weights'][:, i], -1),
3)).reshape(-1, 3),
axis=1),
axis=-1) for i in range(24)
]),
'posedirs':
mapping.dot(dd['posedirs'].reshape((-1, 207))).reshape(-1, 3, 207),
'shapedirs':
mapping.dot(dd['shapedirs'].reshape(
(-1, num_betas))).reshape(-1, 3, num_betas),
'J_regressor':
sp.csr_matrix((J_reg.data, J_reg.indices, J_reg.indptr),
shape=(24, hv.shape[0])),
'kintree_table':
dd['kintree_table'],
'bs_type':
dd['bs_type'],
'bs_style':
dd['bs_style'],
'J':
dd['J'],
'f':
hf,
}
return model
def get_vt_ft_hres():
vt, ft = SmplPaths.get_vt_ft()
vt, ft, _ = get_hres(np.hstack((vt, np.ones((vt.shape[0], 1)))), ft)
return vt[:, :2], ft