import numpy as np import torch import os.path as osp from config.config import cfg from .smplx import smplx import pickle class SMPLX(object): def __init__(self): self.layer_arg = { 'create_global_orient': False, 'create_body_pose': False, 'create_left_hand_pose': False, 'create_right_hand_pose': False, 'create_jaw_pose': False, 'create_leye_pose': False, 'create_reye_pose': False, 'create_betas': False, 'create_expression': False, 'create_transl': False } print(cfg.human_model_path) self.layer = { 'neutral': smplx.create(cfg.human_model_path, 'smplx', gender='NEUTRAL', use_pca=False, use_face_contour=True, **self.layer_arg), 'male': smplx.create(cfg.human_model_path, 'smplx', gender='MALE', use_pca=False, use_face_contour=True, **self.layer_arg), 'female': smplx.create(cfg.human_model_path, 'smplx', gender='FEMALE', use_pca=False, use_face_contour=True, **self.layer_arg) } self.vertex_num = 10475 self.face = self.layer['neutral'].faces self.shape_param_dim = 10 self.expr_code_dim = 10 with open(osp.join(cfg.human_model_path, 'smplx', 'SMPLX_to_J14.pkl'), 'rb') as f: self.j14_regressor = pickle.load(f, encoding='latin1') with open( osp.join(cfg.human_model_path, 'smplx', 'MANO_SMPLX_vertex_ids.pkl'), 'rb') as f: self.hand_vertex_idx = pickle.load(f, encoding='latin1') self.face_vertex_idx = np.load( osp.join(cfg.human_model_path, 'smplx', 'SMPL-X__FLAME_vertex_ids.npy')) self.J_regressor = self.layer['neutral'].J_regressor.numpy() self.J_regressor_idx = { 'pelvis': 0, 'lwrist': 20, 'rwrist': 21, 'neck': 12 } self.orig_hand_regressor = self.make_hand_regressor() #self.orig_hand_regressor = {'left': self.layer.J_regressor.numpy()[[20,37,38,39,25,26,27,28,29,30,34,35,36,31,32,33],:], 'right': self.layer.J_regressor.numpy()[[21,52,53,54,40,41,42,43,44,45,49,50,51,46,47,48],:]} # original SMPLX joint set self.orig_joint_num = 53 # 22 (body joints) + 30 (hand joints) + 1 (face jaw joint) self.orig_joints_name = \ ('Pelvis', 'L_Hip', 'R_Hip', 'Spine_1', 'L_Knee', 'R_Knee', 'Spine_2', 'L_Ankle', 'R_Ankle', 'Spine_3', 'L_Foot', 'R_Foot', 'Neck', 'L_Collar', 'R_Collar', 'Head', 'L_Shoulder', 'R_Shoulder', 'L_Elbow', 'R_Elbow', 'L_Wrist', 'R_Wrist', # body joints 'L_Index_1', 'L_Index_2', 'L_Index_3', 'L_Middle_1', 'L_Middle_2', 'L_Middle_3', 'L_Pinky_1', 'L_Pinky_2', 'L_Pinky_3', 'L_Ring_1', 'L_Ring_2', 'L_Ring_3', 'L_Thumb_1', 'L_Thumb_2', 'L_Thumb_3', # left hand joints 'R_Index_1', 'R_Index_2', 'R_Index_3', 'R_Middle_1', 'R_Middle_2', 'R_Middle_3', 'R_Pinky_1', 'R_Pinky_2', 'R_Pinky_3', 'R_Ring_1', 'R_Ring_2', 'R_Ring_3', 'R_Thumb_1', 'R_Thumb_2', 'R_Thumb_3', # right hand joints 'Jaw' # face jaw joint ) self.orig_flip_pairs = \ ( (1,2), (4,5), (7,8), (10,11), (13,14), (16,17), (18,19), (20,21), # body joints (22,37), (23,38), (24,39), (25,40), (26,41), (27,42), (28,43), (29,44), (30,45), (31,46), (32,47), (33,48), (34,49), (35,50), (36,51) # hand joints ) self.orig_root_joint_idx = self.orig_joints_name.index('Pelvis') self.orig_joint_part = \ {'body': range(self.orig_joints_name.index('Pelvis'), self.orig_joints_name.index('R_Wrist')+1), 'lhand': range(self.orig_joints_name.index('L_Index_1'), self.orig_joints_name.index('L_Thumb_3')+1), 'rhand': range(self.orig_joints_name.index('R_Index_1'), self.orig_joints_name.index('R_Thumb_3')+1), 'face': range(self.orig_joints_name.index('Jaw'), self.orig_joints_name.index('Jaw')+1)} # changed SMPLX joint set for the supervision self.joint_num = 137 # 25 (body joints) + 40 (hand joints) + 72 (face keypoints) self.joints_name = \ ('Pelvis', 'L_Hip', 'R_Hip', 'L_Knee', 'R_Knee', 'L_Ankle', 'R_Ankle', 'Neck', 'L_Shoulder', 'R_Shoulder', 'L_Elbow', 'R_Elbow', 'L_Wrist', 'R_Wrist', 'L_Big_toe', 'L_Small_toe', 'L_Heel', 'R_Big_toe', 'R_Small_toe', 'R_Heel', 'L_Ear', 'R_Ear', 'L_Eye', 'R_Eye', 'Nose',# body joints 'L_Thumb_1', 'L_Thumb_2', 'L_Thumb_3', 'L_Thumb_4', 'L_Index_1', 'L_Index_2', 'L_Index_3', 'L_Index_4', 'L_Middle_1', 'L_Middle_2', 'L_Middle_3', 'L_Middle_4', 'L_Ring_1', 'L_Ring_2', 'L_Ring_3', 'L_Ring_4', 'L_Pinky_1', 'L_Pinky_2', 'L_Pinky_3', 'L_Pinky_4', # left hand joints 'R_Thumb_1', 'R_Thumb_2', 'R_Thumb_3', 'R_Thumb_4', 'R_Index_1', 'R_Index_2', 'R_Index_3', 'R_Index_4', 'R_Middle_1', 'R_Middle_2', 'R_Middle_3', 'R_Middle_4', 'R_Ring_1', 'R_Ring_2', 'R_Ring_3', 'R_Ring_4', 'R_Pinky_1', 'R_Pinky_2', 'R_Pinky_3', 'R_Pinky_4', # right hand joints *['Face_' + str(i) for i in range(1,73)] # face keypoints (too many keypoints... omit real names. have same name of keypoints defined in FLAME class) ) self.root_joint_idx = self.joints_name.index('Pelvis') self.lwrist_idx = self.joints_name.index('L_Wrist') self.rwrist_idx = self.joints_name.index('R_Wrist') self.neck_idx = self.joints_name.index('Neck') self.flip_pairs = \ ( (1,2), (3,4), (5,6), (8,9), (10,11), (12,13), (14,17), (15,18), (16,19), (20,21), (22,23), # body joints (25,45), (26,46), (27,47), (28,48), (29,49), (30,50), (31,51), (32,52), (33,53), (34,54), (35,55), (36,56), (37,57), (38,58), (39,59), (40,60), (41,61), (42,62), (43,63), (44,64), # hand joints (67,68), # face eyeballs (69,78), (70,77), (71,76), (72,75), (73,74), # face eyebrow (83,87), (84,86), # face below nose (88,97), (89,96), (90,95), (91,94), (92,99), (93,98), # face eyes (100,106), (101,105), (102,104), (107,111), (108,110), # face mouth (112,116), (113,115), (117,119), # face lip (120,136), (121,135), (122,134), (123,133), (124,132), (125,131), (126,130), (127,129) # face contours ) self.joint_idx = \ (0,1,2,4,5,7,8,12,16,17,18,19,20,21,60,61,62,63,64,65,59,58,57,56,55, # body joints 37,38,39,66,25,26,27,67,28,29,30,68,34,35,36,69,31,32,33,70, # left hand joints 52,53,54,71,40,41,42,72,43,44,45,73,49,50,51,74,46,47,48,75, # right hand joints 22,15, # jaw, head 57,56, # eyeballs 76,77,78,79,80,81,82,83,84,85, # eyebrow 86,87,88,89, # nose 90,91,92,93,94, # below nose 95,96,97,98,99,100,101,102,103,104,105,106, # eyes 107, # right mouth 108,109,110,111,112, # upper mouth 113, # left mouth 114,115,116,117,118, # lower mouth 119, # right lip 120,121,122, # upper lip 123, # left lip 124,125,126, # lower lip 127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143 # face contour ) self.joint_part = \ {'body': range(self.joints_name.index('Pelvis'), self.joints_name.index('Nose')+1), 'lhand': range(self.joints_name.index('L_Thumb_1'), self.joints_name.index('L_Pinky_4')+1), 'rhand': range(self.joints_name.index('R_Thumb_1'), self.joints_name.index('R_Pinky_4')+1), 'hand': range(self.joints_name.index('L_Thumb_1'), self.joints_name.index('R_Pinky_4')+1), 'face': range(self.joints_name.index('Face_1'), self.joints_name.index('Face_72')+1)} # changed SMPLX joint set for PositionNet prediction self.pos_joint_num = 65 # 25 (body joints) + 40 (hand joints) self.pos_joints_name = \ ('Pelvis', 'L_Hip', 'R_Hip', 'L_Knee', 'R_Knee', 'L_Ankle', 'R_Ankle', 'Neck', 'L_Shoulder', 'R_Shoulder', 'L_Elbow', 'R_Elbow', 'L_Wrist', 'R_Wrist', 'L_Big_toe', 'L_Small_toe', 'L_Heel', 'R_Big_toe', 'R_Small_toe', 'R_Heel', 'L_Ear', 'R_Ear', 'L_Eye', 'R_Eye', 'Nose', # body joints 'L_Thumb_1', 'L_Thumb_2', 'L_Thumb_3', 'L_Thumb_4', 'L_Index_1', 'L_Index_2', 'L_Index_3', 'L_Index_4', 'L_Middle_1', 'L_Middle_2', 'L_Middle_3', 'L_Middle_4', 'L_Ring_1', 'L_Ring_2', 'L_Ring_3', 'L_Ring_4', 'L_Pinky_1', 'L_Pinky_2', 'L_Pinky_3', 'L_Pinky_4', # left hand joints 'R_Thumb_1', 'R_Thumb_2', 'R_Thumb_3', 'R_Thumb_4', 'R_Index_1', 'R_Index_2', 'R_Index_3', 'R_Index_4', 'R_Middle_1', 'R_Middle_2', 'R_Middle_3', 'R_Middle_4', 'R_Ring_1', 'R_Ring_2', 'R_Ring_3', 'R_Ring_4', 'R_Pinky_1', 'R_Pinky_2', 'R_Pinky_3', 'R_Pinky_4', # right hand joints ) self.pos_joint_part = \ {'body': range(self.pos_joints_name.index('Pelvis'), self.pos_joints_name.index('Nose')+1), 'lhand': range(self.pos_joints_name.index('L_Thumb_1'), self.pos_joints_name.index('L_Pinky_4')+1), 'rhand': range(self.pos_joints_name.index('R_Thumb_1'), self.pos_joints_name.index('R_Pinky_4')+1), 'hand': range(self.pos_joints_name.index('L_Thumb_1'), self.pos_joints_name.index('R_Pinky_4')+1)} self.pos_joint_part['L_MCP'] = [ self.pos_joints_name.index('L_Index_1') - len(self.pos_joint_part['body']), self.pos_joints_name.index('L_Middle_1') - len(self.pos_joint_part['body']), self.pos_joints_name.index('L_Ring_1') - len(self.pos_joint_part['body']), self.pos_joints_name.index('L_Pinky_1') - len(self.pos_joint_part['body']) ] self.pos_joint_part['R_MCP'] = [ self.pos_joints_name.index('R_Index_1') - len(self.pos_joint_part['body']) - len(self.pos_joint_part['lhand']), self.pos_joints_name.index('R_Middle_1') - len(self.pos_joint_part['body']) - len(self.pos_joint_part['lhand']), self.pos_joints_name.index('R_Ring_1') - len(self.pos_joint_part['body']) - len(self.pos_joint_part['lhand']), self.pos_joints_name.index('R_Pinky_1') - len(self.pos_joint_part['body']) - len(self.pos_joint_part['lhand']) ] def make_hand_regressor(self): regressor = self.layer['neutral'].J_regressor.numpy() lhand_regressor = np.concatenate( (regressor[[20, 37, 38, 39], :], np.eye(self.vertex_num)[5361, None], regressor[[25, 26, 27], :], np.eye(self.vertex_num)[4933, None], regressor[[28, 29, 30], :], np.eye(self.vertex_num)[5058, None], regressor[[34, 35, 36], :], np.eye(self.vertex_num)[5169, None], regressor[[31, 32, 33], :], np.eye(self.vertex_num)[5286, None])) rhand_regressor = np.concatenate( (regressor[[21, 52, 53, 54], :], np.eye(self.vertex_num)[8079, None], regressor[[40, 41, 42], :], np.eye(self.vertex_num)[7669, None], regressor[[43, 44, 45], :], np.eye(self.vertex_num)[7794, None], regressor[[49, 50, 51], :], np.eye(self.vertex_num)[7905, None], regressor[[46, 47, 48], :], np.eye(self.vertex_num)[8022, None])) hand_regressor = {'left': lhand_regressor, 'right': rhand_regressor} return hand_regressor def reduce_joint_set(self, joint): new_joint = [] for name in self.pos_joints_name: idx = self.joints_name.index(name) new_joint.append(joint[:, idx, :]) new_joint = torch.stack(new_joint, 1) return new_joint class SMPL(object): def __init__(self): self.layer_arg = { 'create_body_pose': False, 'create_betas': False, 'create_global_orient': False, 'create_transl': False } self.layer = { 'neutral': smplx.create(cfg.human_model_path, 'smpl', gender='NEUTRAL', **self.layer_arg), 'male': smplx.create(cfg.human_model_path, 'smpl', gender='MALE', **self.layer_arg), 'female': smplx.create(cfg.human_model_path, 'smpl', gender='FEMALE', **self.layer_arg) } self.vertex_num = 6890 self.face = self.layer['neutral'].faces self.shape_param_dim = 10 self.vposer_code_dim = 32 # original SMPL joint set self.orig_joint_num = 24 self.orig_joints_name = ('Pelvis', 'L_Hip', 'R_Hip', 'Spine_1', 'L_Knee', 'R_Knee', 'Spine_2', 'L_Ankle', 'R_Ankle', 'Spine_3', 'L_Foot', 'R_Foot', 'Neck', 'L_Collar', 'R_Collar', 'Head', 'L_Shoulder', 'R_Shoulder', 'L_Elbow', 'R_Elbow', 'L_Wrist', 'R_Wrist', 'L_Hand', 'R_Hand') self.orig_flip_pairs = ((1, 2), (4, 5), (7, 8), (10, 11), (13, 14), (16, 17), (18, 19), (20, 21), (22, 23)) self.orig_root_joint_idx = self.orig_joints_name.index('Pelvis') self.orig_joint_regressor = self.layer['neutral'].J_regressor.numpy( ).astype(np.float32) self.joint_num = self.orig_joint_num self.joints_name = self.orig_joints_name self.flip_pairs = self.orig_flip_pairs self.root_joint_idx = self.orig_root_joint_idx self.joint_regressor = self.orig_joint_regressor self.joint_regressor_male = self.layer['male'].J_regressor.numpy( ).astype(np.float32) smpl_x = SMPLX() smpl = SMPL()