(self, outs, cur_sample_idx)
| 60 | self.save_cache(self.annot_path_cache, self.datalist) |
| 61 | |
| 62 | def evaluate(self, outs, cur_sample_idx): |
| 63 | annots = self.datalist |
| 64 | sample_num = len(outs) |
| 65 | eval_result = { |
| 66 | 'pa_mpvpe_all': [], |
| 67 | 'pa_mpvpe_l_hand': [], |
| 68 | 'pa_mpvpe_r_hand': [], |
| 69 | 'pa_mpvpe_hand': [], |
| 70 | 'pa_mpvpe_face': [], |
| 71 | 'mpvpe_all': [], |
| 72 | 'mpvpe_l_hand': [], |
| 73 | 'mpvpe_r_hand': [], |
| 74 | 'mpvpe_hand': [], |
| 75 | 'mpvpe_face': [] |
| 76 | } |
| 77 | |
| 78 | vis = getattr(cfg, 'vis', False) |
| 79 | vis_save_dir = cfg.vis_dir |
| 80 | csv_file = f'{cfg.result_dir}/egobody_smplx_error.csv' |
| 81 | file = open(csv_file, 'a', newline='') |
| 82 | for n in range(sample_num): |
| 83 | annot = annots[cur_sample_idx + n] |
| 84 | out = outs[n] |
| 85 | mesh_gt = out['smplx_mesh_cam_target'] |
| 86 | mesh_out = out['smplx_mesh_cam'] |
| 87 | ann_idx = out['gt_ann_idx'] |
| 88 | img_path = [] |
| 89 | for ann_id in ann_idx: |
| 90 | img_path.append(annots[ann_id]['img_path']) |
| 91 | eval_result['img_path'] = img_path |
| 92 | eval_result['ann_idx'] = ann_idx |
| 93 | # MPVPE from all vertices |
| 94 | mesh_out_align = \ |
| 95 | mesh_out - np.dot( |
| 96 | smpl_x.J_regressor, mesh_out).transpose(1,0,2)[:, smpl_x.J_regressor_idx['pelvis'], None, :] + \ |
| 97 | np.dot(smpl_x.J_regressor, mesh_gt).transpose(1,0,2)[:, smpl_x.J_regressor_idx['pelvis'], None, :] |
| 98 | |
| 99 | eval_result['mpvpe_all'].extend( |
| 100 | np.sqrt(np.sum( |
| 101 | (mesh_out_align - mesh_gt)**2, -1)).mean(-1) * 1000) |
| 102 | mesh_out_align = rigid_align_batch(mesh_out, mesh_gt) |
| 103 | eval_result['pa_mpvpe_all'].extend( |
| 104 | np.sqrt(np.sum( |
| 105 | (mesh_out_align - mesh_gt)**2, -1)).mean(-1) * 1000) |
| 106 | |
| 107 | # MPVPE from hand vertices |
| 108 | mesh_gt_lhand = mesh_gt[:, smpl_x.hand_vertex_idx['left_hand'], :] |
| 109 | mesh_out_lhand = mesh_out[:, smpl_x.hand_vertex_idx['left_hand'], :] |
| 110 | mesh_gt_rhand = mesh_gt[:, smpl_x.hand_vertex_idx['right_hand'], :] |
| 111 | mesh_out_rhand = mesh_out[:, smpl_x.hand_vertex_idx['right_hand'], :] |
| 112 | mesh_out_lhand_align = \ |
| 113 | mesh_out_lhand - \ |
| 114 | np.dot(smpl_x.J_regressor, mesh_out).transpose(1,0,2)[:, smpl_x.J_regressor_idx['lwrist'], None, :] + \ |
| 115 | np.dot(smpl_x.J_regressor, mesh_gt).transpose(1,0,2)[:, smpl_x.J_regressor_idx['lwrist'], None, :] |
| 116 | |
| 117 | mesh_out_rhand_align = \ |
| 118 | mesh_out_rhand - \ |
| 119 | np.dot(smpl_x.J_regressor, mesh_out).transpose(1,0,2)[:, smpl_x.J_regressor_idx['rwrist'], None, :] + \ |
nothing calls this directly
no test coverage detected