- Keterangan :
Kumpulan data nyata dari 14 tugas manipulasi cakrawala panjang. Gabungan data permainan manusia dan data lengan robot tunggal yang melakukan tugas yang sama.
Beranda : https://mimic-play.github.io/
Kode sumber :
tfds.robotics.rtx.MimicPlay
Versi :
-
0.1.0
(default): Rilis awal.
-
Ukuran unduhan :
Unknown size
Ukuran kumpulan data :
7.14 GiB
Cache otomatis ( dokumentasi ): Tidak
Perpecahan :
Membelah | Contoh |
---|---|
'train' | 378 |
- Struktur fitur :
FeaturesDict({
'episode_metadata': FeaturesDict({
'file_path': string,
}),
'steps': Dataset({
'action': Tensor(shape=(7,), dtype=float32),
'discount': Scalar(shape=(), dtype=float32),
'is_first': bool,
'is_last': bool,
'is_terminal': bool,
'language_embedding': Tensor(shape=(512,), dtype=float32),
'language_instruction': string,
'observation': FeaturesDict({
'image': FeaturesDict({
'front_image_1': Image(shape=(120, 120, 3), dtype=uint8),
'front_image_2': Image(shape=(120, 120, 3), dtype=uint8),
}),
'state': FeaturesDict({
'ee_pose': Tensor(shape=(7,), dtype=float32),
'gripper_position': float32,
'joint_positions': Tensor(shape=(7,), dtype=float32),
'joint_velocities': Tensor(shape=(7,), dtype=float32),
}),
'wrist_image': FeaturesDict({
'wrist_image': Image(shape=(120, 120, 3), dtype=uint8),
}),
}),
'reward': Scalar(shape=(), dtype=float32),
}),
})
- Dokumentasi fitur :
Fitur | Kelas | Membentuk | Tipe D | Keterangan |
---|---|---|---|---|
FiturDict | ||||
episode_metadata | FiturDict | |||
episode_metadata/file_path | Tensor | rangkaian | ||
Langkah | Himpunan data | |||
langkah/tindakan | Tensor | (7,) | float32 | |
langkah/diskon | Skalar | float32 | ||
langkah/adalah_pertama | Tensor | bodoh | ||
langkah/adalah_terakhir | Tensor | bodoh | ||
langkah/is_terminal | Tensor | bodoh | ||
langkah/bahasa_embedding | Tensor | (512,) | float32 | |
langkah/bahasa_instruksi | Tensor | rangkaian | ||
langkah/pengamatan | FiturDict | |||
langkah/pengamatan/gambar | FiturDict | |||
langkah/pengamatan/gambar/front_image_1 | Gambar | (120, 120, 3) | uint8 | |
langkah/pengamatan/gambar/front_image_2 | Gambar | (120, 120, 3) | uint8 | |
langkah/pengamatan/keadaan | FiturDict | |||
langkah/pengamatan/keadaan/ee_pose | Tensor | (7,) | float32 | |
langkah/pengamatan/keadaan/gripper_position | Tensor | float32 | ||
langkah/pengamatan/keadaan/joint_positions | Tensor | (7,) | float32 | |
langkah/pengamatan/keadaan/joint_velocities | Tensor | (7,) | float32 | |
langkah/pengamatan/wrist_image | FiturDict | |||
langkah/pengamatan/wrist_image/wrist_image | Gambar | (120, 120, 3) | uint8 | |
langkah/hadiah | Skalar | float32 |
Kunci yang diawasi (Lihat dokumen
as_supervised
):None
Gambar ( tfds.show_examples ): Tidak didukung.
Contoh ( tfds.as_dataframe ):
- Kutipan :
@article{wang2023mimicplay,title={Mimicplay: Long-horizon imitation learning by watching human play},author={Wang, Chen and Fan, Linxi and Sun, Jiankai and Zhang, Ruohan and Fei-Fei, Li and Xu, Danfei and Zhu, Yuke and Anandkumar, Anima},journal={arXiv preprint arXiv:2302.12422},year={2023} }