(self, outs, cur_sample_idx=None)
| 964 | return bbox, bbox_valid |
| 965 | |
| 966 | def evaluate(self, outs, cur_sample_idx=None): |
| 967 | annots = self.datalist |
| 968 | sample_num = len(outs) |
| 969 | eval_result = { |
| 970 | 'pa_mpvpe_all': [], |
| 971 | 'pa_mpvpe_l_hand': [], |
| 972 | 'pa_mpvpe_r_hand': [], |
| 973 | 'pa_mpvpe_hand': [], |
| 974 | 'pa_mpvpe_face': [], |
| 975 | 'mpvpe_all': [], |
| 976 | 'mpvpe_l_hand': [], |
| 977 | 'mpvpe_r_hand': [], |
| 978 | 'mpvpe_hand': [], |
| 979 | 'mpvpe_face': [], |
| 980 | 'pa_mpjpe_body': [], |
| 981 | 'pa_mpjpe_l_hand': [], |
| 982 | 'pa_mpjpe_r_hand': [], |
| 983 | 'pa_mpjpe_hand': [] |
| 984 | } |
| 985 | |
| 986 | for n in range(sample_num): |
| 987 | out = outs[n] |
| 988 | ann_idx = out['gt_ann_idx'] |
| 989 | mesh_gt = out['smplx_mesh_cam_pseudo_gt'] |
| 990 | mesh_out = out['smplx_mesh_cam'] |
| 991 | cam_trans = out['cam_trans'] |
| 992 | ann_idx = out['gt_ann_idx'] |
| 993 | img_path = [] |
| 994 | for ann_id in ann_idx: |
| 995 | img_path.append(annots[ann_id]['img_path']) |
| 996 | eval_result['img_path'] = img_path |
| 997 | eval_result['ann_idx'] = ann_idx |
| 998 | |
| 999 | img = out['img'] |
| 1000 | # MPVPE from all vertices |
| 1001 | mesh_out_align = mesh_out - np.dot( |
| 1002 | smpl_x.J_regressor, |
| 1003 | mesh_out)[smpl_x.J_regressor_idx['pelvis'], None, :] + np.dot( |
| 1004 | smpl_x.J_regressor, |
| 1005 | mesh_gt)[smpl_x.J_regressor_idx['pelvis'], None, :] |
| 1006 | eval_result['mpvpe_all'].append( |
| 1007 | np.sqrt(np.sum( |
| 1008 | (mesh_out_align - mesh_gt)**2, 1)).mean() * 1000) |
| 1009 | mesh_out_align = rigid_align(mesh_out, mesh_gt) |
| 1010 | eval_result['pa_mpvpe_all'].append( |
| 1011 | np.sqrt(np.sum( |
| 1012 | (mesh_out_align - mesh_gt)**2, 1)).mean() * 1000) |
| 1013 | # MPVPE from hand vertices |
| 1014 | mesh_gt_lhand = mesh_gt[smpl_x.hand_vertex_idx['left_hand'], :] |
| 1015 | mesh_out_lhand = mesh_out[smpl_x.hand_vertex_idx['left_hand'], :] |
| 1016 | mesh_gt_rhand = mesh_gt[smpl_x.hand_vertex_idx['right_hand'], :] |
| 1017 | mesh_out_rhand = mesh_out[smpl_x.hand_vertex_idx['right_hand'], :] |
| 1018 | mesh_out_lhand_align = mesh_out_lhand - np.dot( |
| 1019 | smpl_x.J_regressor, |
| 1020 | mesh_out)[smpl_x.J_regressor_idx['lwrist'], None, :] + np.dot( |
| 1021 | smpl_x.J_regressor, |
| 1022 | mesh_gt)[smpl_x.J_regressor_idx['lwrist'], None, :] |
| 1023 | mesh_out_rhand_align = mesh_out_rhand - np.dot( |
nothing calls this directly
no test coverage detected