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- README.md +53 -1
- walk_motion/CMU_10_04_stageii.npz +3 -0
README.md
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license: cc-by-
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license: cc-by-nc-4.0
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# Habitat Humanoids
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Habitat 3.0 provides support for diverse humanoid avatars, displaying different shapes an motions. Avatars are based on the [SMPL-X](https://smpl-x.is.tue.mpg.de/) body model format, a commonly used data-driven parametric human body model that provides a compact representation of 3D human shape and pose.
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This repository provides a set of stand-alone avatars and motion files to represent humanoids walking and reaching to objects in the Habitat simulator. However, you can also generate new humanoids using the SMPL-X code base, or use motions coming from motion capture or motion generation models.
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## Contents
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We provide a total of 12 textured avatars of neutral, female and male gender and covering different body shapes. For each avatar, we provide a motion file that allows to drive the avatar to walk in a scene, or reach out to objects, using a [controller](https://github.com/facebookresearch/habitat-lab/blob/main/habitat-lab/habitat/articulated_agent_controllers/humanoid_rearrange_controller.py).
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The folder structure is as follows:
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```
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├── habitat_humanoids
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│ ├── neutral_0
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| | ├── neutral_0.ao_config.json
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| | ├── neutral_0.glb
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| | ├── neutral_0_motion_data_smplx.pkl
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| | ├── neutral_0.urdf
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│ ├── *
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│ ├── walk_motion
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│ | ├── CMU_10_04_stageii.npz
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```
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Where neutral_0 corresponds to the folder of one of the textured avatars.
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- `neutral_0.ao_config.json`: contains a dictionary with information on how to link the avatar armature and skinning, and the semantic id of the avatar, when using a semantic sensor.
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- `neutral_0.glb`: contains the skinning and texture information.
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- `neutral_0_motion_data_smplx.pkl`: contains relevant motion data files, more information below.
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- `neutral_0.urdf`: contains the armature, built automatically from the SMPL-X body model.
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- `walk_motion/CMU_10_04_stageii.npz`: contains a clip file from AMASS, used to build our motion file.
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### Motion Data File
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For each avatar, we provide a dictionary stored in `*_motion_data_smplx.pkl` which contains information to animate the character to walk around a scene and reach out to different positions.In particular, the dictionary contains 3 keys to store this information.
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- `walk_motion`: contains a 130 frame clip of a person performing a walking cycle. In particular, the clip corresponds to the frames 300-430 of the file `CMU/10/10_04_stageii.npz` from AMASS dataset. We provide the raw data in this repository, released under a license detailed below.
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- `stop_pose`: contains a standing position, taken from s single frame from the motion clip above mentioned.
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- `left_hand`: Contains a grid of poses 48 generated using [VPoser](https://github.com/nghorbani/human_body_prior), where each pose is optimized to reach a given poisition in 3D. In [HumanoidRearrangeController](https://github.com/facebookresearch/habitat-lab/blob/main/habitat-lab/habitat/articulated_agent_controllers/humanoid_rearrange_controller.py), we provide code to interpolate over these poses to reach multiple 3D positions.
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- `right_hand`: Contains the same grid of poses to reach positions with the *right hand*.
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## Usage
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Clone this file under `data/`. We provide several files in the [habitat-lab repository](https://github.com/facebookresearch/habitat-lab) to instantiate and move the avatars around the scene.
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## License
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The 12 provided avatars, along with their textures, and the reaching positions stored in `left_hand` and `right_hand` are released under a [CC-BY-NC 4.0 License](https://creativecommons.org/licenses/by-nc/4.0/deed.en).
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The motion data stored in `walk_motion` and `stop_pose`, as well as the original file `CMU_10_04_stageii.npz` is released under the [SMPL Body Motion File License](https://smpl.is.tue.mpg.de/bodylicense.html), a Creative Commons Attribution 4.0 International License. For support or inquiries about more SMPL Body Mo.on Files for commercial use, please contact [email protected].
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git
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walk_motion/CMU_10_04_stageii.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:56c3381330af8e9d07d83fd067b76a5ba3f3ea873398b48b1e77d4b2b4f6895d
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size 1469179
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