| import tensorflow as tf |
|
|
| from data.utils import clean_task_instruction, euler_to_rotation_matrix, rotation_matrix_to_ortho6d |
|
|
|
|
| def process_step(step: dict) -> dict: |
| """ |
| Unify the action format and clean the task instruction. |
| |
| DO NOT use python list, use tf.TensorArray instead. |
| """ |
| |
| action_dict = step['action'] |
| |
| step['action'] = {} |
| action = step['action'] |
| action['arm_concat'] = action_dict['ee_6d_pos'] |
|
|
| |
| action['format'] = tf.constant( |
| "left_eef_pos_x,left_eef_pos_y,left_eef_pos_z,left_eef_angle_0,left_eef_angle_1,left_eef_angle_2,left_eef_angle_3,left_eef_angle_4,left_eef_angle_5,left_gripper_open,right_eef_pos_x,right_eef_pos_y,right_eef_pos_z,right_eef_angle_0,right_eef_angle_1,right_eef_angle_2,right_eef_angle_3,right_eef_angle_4,right_eef_angle_5,right_gripper_open" |
| ) |
|
|
| |
| |
| state_dict = step['observation']['state'] |
| state = {} |
| state['arm_concat'] = state_dict |
|
|
| |
| state['format'] = tf.constant( |
| "left_eef_pos_x,left_eef_pos_y,left_eef_pos_z,left_eef_angle_0,left_eef_angle_1,left_eef_angle_2,left_eef_angle_3,left_eef_angle_4,left_eef_angle_5,left_gripper_open,right_eef_pos_x,right_eef_pos_y,right_eef_pos_z,right_eef_angle_0,right_eef_angle_1,right_eef_angle_2,right_eef_angle_3,right_eef_angle_4,right_eef_angle_5,right_gripper_open" |
| ) |
| |
| |
| replacements = { |
| '_': ' ', |
| '1f': ' ', |
| '4f': ' ', |
| '-': ' ', |
| '50': ' ', |
| '55': ' ', |
| '56': ' ', |
| |
| } |
| instr = step['language_instruction'] |
| |
| step['observation'] = state |
| step['observation']['natural_language_instruction'] = instr |
|
|
| return step |
|
|
|
|
| if __name__ == "__main__": |
| pass |
|
|