Spaces:
Runtime error
Runtime error
| from dataclasses import dataclass | |
| from typing import List | |
| import json | |
| import numpy as np | |
| import os | |
| STATISTICS_DATA_DIR = os.path.join(os.path.dirname(__file__), '..', '..', 'data', 'statistics') | |
| STATISTICS_PATH = os.path.join(STATISTICS_DATA_DIR, 'statistics_modified_v1.json') | |
| class DataInfo: | |
| rgb_mean: List[float] | |
| rgb_stddev: List[float] | |
| joint_names: List[str] | |
| hflip_indices: List[int] | |
| n_joints: int | |
| n_keyp: int | |
| n_bones: int | |
| n_betas: int | |
| image_size: int | |
| trans_mean: np.ndarray | |
| trans_std: np.ndarray | |
| flength_mean: np.ndarray | |
| flength_std: np.ndarray | |
| pose_rot6d_mean: np.ndarray | |
| keypoint_weights: List[float] | |
| # SMAL samples 3d statistics | |
| # statistics like mean values were calculated once when the project was started and they were not changed afterwards anymore | |
| def load_statistics(statistics_path): | |
| with open(statistics_path) as f: | |
| statistics = json.load(f) | |
| '''new_pose_mean = [[[np.round(val, 2) for val in sublst] for sublst in sublst_big] for sublst_big in statistics['pose_mean']] | |
| statistics['pose_mean'] = new_pose_mean | |
| j_out = json.dumps(statistics, indent=4) #, sort_keys=True) | |
| with open(self.statistics_path, 'w') as file: file.write(j_out)''' | |
| new_statistics = {'trans_mean': np.asarray(statistics['trans_mean']), | |
| 'trans_std': np.asarray(statistics['trans_std']), | |
| 'flength_mean': np.asarray(statistics['flength_mean']), | |
| 'flength_std': np.asarray(statistics['flength_std']), | |
| 'pose_mean': np.asarray(statistics['pose_mean']), | |
| } | |
| new_statistics['pose_rot6d_mean'] = new_statistics['pose_mean'][:, :, :2].reshape((-1, 6)) | |
| return new_statistics | |
| STATISTICS = load_statistics(STATISTICS_PATH) | |
| AniPose_JOINT_NAMES_swapped = [ | |
| 'L_F_Paw', 'L_F_Knee', 'L_F_Elbow', | |
| 'L_B_Paw', 'L_B_Knee', 'L_B_Elbow', | |
| 'R_F_Paw', 'R_F_Knee', 'R_F_Elbow', | |
| 'R_B_Paw', 'R_B_Knee', 'R_B_Elbow', | |
| 'TailBase', '_Tail_end_', 'L_EarBase', 'R_EarBase', | |
| 'Nose', '_Chin_', '_Left_ear_tip_', '_Right_ear_tip_', | |
| 'L_Eye', 'R_Eye', 'Withers', 'Throat'] | |
| KEYPOINT_WEIGHTS = [3, 2, 2, 3, 2, 2, 3, 2, 2, 3, 2, 2, 3, 3, 2, 2, 3, 1, 2, 2] | |
| COMPLETE_DATA_INFO = DataInfo( | |
| rgb_mean=[0.4404, 0.4440, 0.4327], # not sure | |
| rgb_stddev=[0.2458, 0.2410, 0.2468], # not sure | |
| joint_names=AniPose_JOINT_NAMES_swapped, # AniPose_JOINT_NAMES, | |
| hflip_indices=[6, 7, 8, 9, 10, 11, 0, 1, 2, 3, 4, 5, 12, 13, 15, 14, 16, 17, 19, 18, 21, 20, 22, 23], | |
| n_joints = 35, | |
| n_keyp = 24, # 20, # 25, | |
| n_bones = 24, | |
| n_betas = 30, # 10, | |
| image_size = 256, | |
| trans_mean = STATISTICS['trans_mean'], | |
| trans_std = STATISTICS['trans_std'], | |
| flength_mean = STATISTICS['flength_mean'], | |
| flength_std = STATISTICS['flength_std'], | |
| pose_rot6d_mean = STATISTICS['pose_rot6d_mean'], | |
| keypoint_weights = KEYPOINT_WEIGHTS | |
| ) | |