""" 验证 DROID action[:6] 是否等于 action_dict.cartesian_position 用法: python verify_action.py --dataset_dir /path/to/droid/1.0.0 --num_episodes 5 """ import tensorflow_datasets as tfds import numpy as np import argparse def verify(dataset_dir, num_episodes=5): builder = tfds.builder_from_directory(dataset_dir) ds = builder.as_dataset(split='train') for ep_idx, episode in enumerate(ds.take(num_episodes)): steps = list(episode['steps']) lang = steps[0]['language_instruction'].numpy().decode('utf-8') print(f"\nEpisode {ep_idx}: {len(steps)} steps, task='{lang}'") max_diff_cart = 0.0 max_diff_grip = 0.0 for step in steps: action = step['action'].numpy() cart_pos = step['action_dict']['cartesian_position'].numpy() grip_pos = step['action_dict']['gripper_position'].numpy() diff_cart = np.abs(action[:6] - cart_pos).max() diff_grip = np.abs(action[6] - grip_pos[0]) max_diff_cart = max(max_diff_cart, diff_cart) max_diff_grip = max(max_diff_grip, diff_grip) print(f" action[:6] vs action_dict.cartesian_position max_diff: {max_diff_cart:.2e}") print(f" action[6] vs action_dict.gripper_position max_diff: {max_diff_grip:.2e}") if max_diff_cart < 1e-10: print(f" => action[:6] === commanded cartesian position") else: print(f" => 不一致! action[:6] 不是 cartesian_position") if max_diff_grip < 1e-10: print(f" => action[6] === commanded gripper position") else: # 也许是 gripper velocity? grip_vel = step['action_dict']['gripper_velocity'].numpy() print(f" => action[6] 不是 gripper_position,检查是否是 gripper_velocity...") if __name__ == '__main__': parser = argparse.ArgumentParser() parser.add_argument('--dataset_dir', type=str, required=True) parser.add_argument('--num_episodes', type=int, default=5) args = parser.parse_args() verify(args.dataset_dir, args.num_episodes)