five

G1_CameraPackaging_Dataset

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魔搭社区2025-12-04 更新2025-02-22 收录
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https://modelscope.cn/datasets/AI-ModelScope/G1_CameraPackaging_Dataset
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 - **Task Objective:** Place the RealSense D-405 camera into the mounting case and secure the lid. - **Operational Objects:** A RealSense D-405 camera along with its original complete packaging (Purchase link: [【淘宝】退货运费险 https://e.tb.cn/h.60YgeNsj0ZmKJD1?tk=VwPYeJGcavx tG-#22>lD 「英特尔RealSense D405近距离7~50cm高精度毫米深度相机实感摄像头」点击链接直接打开 或者 淘宝搜索直接打开]) - **Operation Duration:** Each operation takes approximately 20 to 40 seconds. - **Recording Frequency:** 30 Hz. - **Robot Type:** 7-DOF dual-arm G1 robot. - **End Effector:** Three-fingered dexterous hands. - **Dual-Arm Operation:** Yes. - **Image Resolution:** 640x480. - **Camera Positions:** Wrist-mounted (monocular camera) + head-mounted (binocular cameras). - **Data Content:** • Robot's current state. • Robot's next action. • Current camera view images. - **Robot Initial Posture:** The first robot state in each dataset entry. - **Object Placement:** Position the camera case at the midpoint between the robot's arms in their initial state (arms vertical), 30cm away from the inner edge of the table's wall (robot-facing side). Place the camera on the right side of the case, and position the lid on the left side of the case. - **Camera View:** Follow the guidelines in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate). - **Important Notes:** 1. Due to the inability to precisely describe spatial positions, adjust the scene to closely match the first frame of the dataset after installing the hardware as specified in **Part 5** of [AVP Teleoperation Documentation](https://github.com/unitreerobotics/avp_teleoperate). 2. Data collection is not completed in a single session, and variations between data entries exist. Ensure these variations are accounted for during model training. ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v2.0", "robot_type": "Unitree_G1", "total_episodes": 201, "total_frames": 256253, "total_tasks": 1, "total_videos": 804, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:201" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "observation.state": { "dtype": "float32", "shape": [ 28 ], "names": [ [ "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw", "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw", "kLeftHandThumb0", "kLeftHandThumb1", "kLeftHandThumb2", "kLeftHandMiddle0", "kLeftHandMiddle1", "kLeftHandIndex0", "kLeftHandIndex1", "kRightHandThumb0", "kRightHandThumb1", "kRightHandThumb2", "kRightHandIndex0", "kRightHandIndex1", "kRightHandMiddle0", "kRightHandMiddle1" ] ] }, "action": { "dtype": "float32", "shape": [ 28 ], "names": [ [ "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw", "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw", "kLeftHandThumb0", "kLeftHandThumb1", "kLeftHandThumb2", "kLeftHandMiddle0", "kLeftHandMiddle1", "kLeftHandIndex0", "kLeftHandIndex1", "kRightHandThumb0", "kRightHandThumb1", "kRightHandThumb2", "kRightHandIndex0", "kRightHandIndex1", "kRightHandMiddle0", "kRightHandMiddle1" ] ] }, "observation.images.cam_left_high": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_right_high": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_left_wrist": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_right_wrist": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

本数据集基于[LeRobot](https://github.com/huggingface/lerobot)框架构建。 ## 数据集描述 - **"主页"**:[需补充更多信息] - **"论文"**:[需补充更多信息] - **"授权协议"**:Apache-2.0 - **"任务目标"**:将英特尔RealSense D-405相机(RealSense D-405)安装至配套收纳盒并锁紧盒盖。 - **"操作对象"**:英特尔RealSense D-405相机及其原厂完整包装(购买链接:[【淘宝】退货运费险 https://e.tb.cn/h.60YgeNsj0ZmKJD1?tk=VwPYeJGcavx tG-#22>lD 「英特尔RealSense D405近距离7~50cm高精度毫米深度相机实感摄像头」点击链接直接打开 或 直接通过淘宝搜索获取]) - **"操作时长"**:单次操作耗时约20至40秒。 - **"录制帧率"**:30 Hz。 - **"机器人类型"**:7自由度双臂G1机器人。 - **"末端执行器"**:三指灵巧手。 - **"双臂操作"**:是。 - **"图像分辨率"**:640×480。 - **"相机布局"**:腕部安装(单目相机)+ 头部安装(双目相机)。 - **"数据内容"**: • 机器人当前状态 • 机器人下一步动作 • 当前相机视角图像 - **"机器人初始姿态"**:每个数据条目中的首个机器人状态。 - **"物体摆放规则"**:将相机收纳盒置于机器人初始双臂垂直状态下的双臂中点位置,距离工作台朝向机器人一侧的内壁内缘30cm处;将相机放置于收纳盒右侧,盒盖放置于收纳盒左侧。 - **"相机视角"**:遵循[AVP远程操作文档(AVP Teleoperation Documentation)](https://github.com/unitreerobotics/avp_teleoperate)第5部分的指南。 - **"重要注意事项"**: 1. 由于无法精准描述空间位置,在按照[AVP远程操作文档(AVP Teleoperation Documentation)](https://github.com/unitreerobotics/avp_teleoperate)第5部分完成硬件安装后,请调整场景以尽可能匹配数据集的首帧画面。 2. 数据采集并非单次完成,不同数据条目间存在差异,请在模型训练阶段充分考虑此类变异情况。 ## 数据集结构 `meta/info.json` 文件内容如下: json { "codebase_version": "v2.0", "robot_type": "Unitree_G1", "total_episodes": 201, "total_frames": 256253, "total_tasks": 1, "total_videos": 804, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:201" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "observation.state": { "dtype": "float32", "shape": [ 28 ], "names": [ [ "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw", "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw", "kLeftHandThumb0", "kLeftHandThumb1", "kLeftHandThumb2", "kLeftHandMiddle0", "kLeftHandMiddle1", "kLeftHandIndex0", "kLeftHandIndex1", "kRightHandThumb0", "kRightHandThumb1", "kRightHandThumb2", "kRightHandIndex0", "kRightHandIndex1", "kRightHandMiddle0", "kRightHandMiddle1" ] ] }, "action": { "dtype": "float32", "shape": [ 28 ], "names": [ [ "kLeftShoulderPitch", "kLeftShoulderRoll", "kLeftShoulderYaw", "kLeftElbow", "kLeftWristRoll", "kLeftWristPitch", "kLeftWristYaw", "kRightShoulderPitch", "kRightShoulderRoll", "kRightShoulderYaw", "kRightElbow", "kRightWristRoll", "kRightWristPitch", "kRightWristYaw", "kLeftHandThumb0", "kLeftHandThumb1", "kLeftHandThumb2", "kLeftHandMiddle0", "kLeftHandMiddle1", "kLeftHandIndex0", "kLeftHandIndex1", "kRightHandThumb0", "kRightHandThumb1", "kRightHandThumb2", "kRightHandIndex0", "kRightHandIndex1", "kRightHandMiddle0", "kRightHandMiddle1" ] ] }, "observation.images.cam_left_high": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_right_high": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_left_wrist": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_right_wrist": { "dtype": "video", "shape": [ 3, 480, 640 ], "names": [ "channels", "height", "width" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ## 引用 **BibTeX格式:** bibtex [需补充更多信息]
提供机构:
maas
创建时间:
2024-11-14
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