(self, outs, cur_sample_idx)
| 51 | |
| 52 | |
| 53 | def evaluate(self, outs, cur_sample_idx): |
| 54 | annots = self.datalist |
| 55 | sample_num = len(outs) |
| 56 | eval_result = { |
| 57 | 'pa_mpvpe_all': [], |
| 58 | 'pa_mpvpe_l_hand': [], |
| 59 | 'pa_mpvpe_r_hand': [], |
| 60 | 'pa_mpvpe_hand': [], |
| 61 | 'pa_mpvpe_face': [], |
| 62 | 'mpvpe_all': [], |
| 63 | 'mpvpe_l_hand': [], |
| 64 | 'mpvpe_r_hand': [], |
| 65 | 'mpvpe_hand': [], |
| 66 | 'mpvpe_face': [] |
| 67 | } |
| 68 | |
| 69 | vis = getattr(cfg, 'vis', False) |
| 70 | vis_save_dir = cfg.vis_dir |
| 71 | csv_file = f'{cfg.result_dir}/arctic_smplx_error.csv' |
| 72 | file = open(csv_file, 'a', newline='') |
| 73 | |
| 74 | for n in range(sample_num): |
| 75 | annot = annots[cur_sample_idx + n] |
| 76 | out = outs[n] |
| 77 | mesh_gt = out['smplx_mesh_cam_target'] |
| 78 | mesh_out = out['smplx_mesh_cam'] |
| 79 | ann_idx = out['gt_ann_idx'] |
| 80 | img_path = [] |
| 81 | for ann_id in ann_idx: |
| 82 | img_path.append(annots[ann_id]['img_path']) |
| 83 | eval_result['img_path'] = img_path |
| 84 | # MPVPE from all vertices |
| 85 | mesh_out_align = \ |
| 86 | mesh_out - np.dot( |
| 87 | smpl_x.J_regressor, mesh_out).transpose(1,0,2)[:, smpl_x.J_regressor_idx['pelvis'], None, :] + \ |
| 88 | np.dot(smpl_x.J_regressor, mesh_gt).transpose(1,0,2)[:, smpl_x.J_regressor_idx['pelvis'], None, :] |
| 89 | |
| 90 | eval_result['mpvpe_all'].append( |
| 91 | np.sqrt(np.sum( |
| 92 | (mesh_out_align - mesh_gt)**2, -1)).mean() * 1000) |
| 93 | mesh_out_align = rigid_align_batch(mesh_out, mesh_gt) |
| 94 | eval_result['pa_mpvpe_all'].append( |
| 95 | np.sqrt(np.sum( |
| 96 | (mesh_out_align - mesh_gt)**2, -1)).mean() * 1000) |
| 97 | |
| 98 | # MPVPE from hand vertices |
| 99 | mesh_gt_lhand = mesh_gt[:, smpl_x.hand_vertex_idx['left_hand'], :] |
| 100 | mesh_out_lhand = mesh_out[:, smpl_x.hand_vertex_idx['left_hand'], :] |
| 101 | mesh_gt_rhand = mesh_gt[:, smpl_x.hand_vertex_idx['right_hand'], :] |
| 102 | mesh_out_rhand = mesh_out[:, smpl_x.hand_vertex_idx['right_hand'], :] |
| 103 | mesh_out_lhand_align = \ |
| 104 | mesh_out_lhand - \ |
| 105 | np.dot(smpl_x.J_regressor, mesh_out).transpose(1,0,2)[:, smpl_x.J_regressor_idx['lwrist'], None, :] + \ |
| 106 | np.dot(smpl_x.J_regressor, mesh_gt).transpose(1,0,2)[:, smpl_x.J_regressor_idx['lwrist'], None, :] |
| 107 | |
| 108 | mesh_out_rhand_align = \ |
| 109 | mesh_out_rhand - \ |
| 110 | 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