Showing preview only (8,219K chars total). Download the full file or copy to clipboard to get everything.
Repository: Sirui-Xu/InterDiff
Branch: main
Commit: d584b1f11768
Files: 63
Total size: 84.6 MB
Directory structure:
gitextract_gvqlhfpg/
├── LICENSE
├── README.md
├── environment.yml
├── interdiff/
│ ├── README.md
│ ├── checkpoints/
│ │ ├── correction.ckpt
│ │ ├── diffusion.ckpt
│ │ ├── diffusion_skeleton.ckpt
│ │ └── obj_skeleton.ckpt
│ ├── data/
│ │ ├── behave/
│ │ │ ├── objects/
│ │ │ │ └── backpack/
│ │ │ │ ├── backpack.obj
│ │ │ │ ├── backpack.obj.mtl
│ │ │ │ └── backpack_f1000.ply
│ │ │ └── sequence/
│ │ │ └── Date01_Sub01_backpack_back/
│ │ │ ├── object_fit_all.npz
│ │ │ └── smpl_fit_all.npz
│ │ ├── cfg/
│ │ │ ├── BEHAVE.yml
│ │ │ └── HOI.yml
│ │ ├── dataset_skeleton.py
│ │ ├── dataset_smpl.py
│ │ ├── prepare_behave.py
│ │ ├── tools.py
│ │ └── utils.py
│ ├── diffusion/
│ │ ├── gaussian_diffusion.py
│ │ ├── losses.py
│ │ ├── nn.py
│ │ ├── resample.py
│ │ └── respace.py
│ ├── eval_skeleton.py
│ ├── eval_skeleton_no_correction.py
│ ├── eval_smpl_long.py
│ ├── eval_smpl_short.py
│ ├── libsmpl/
│ │ ├── LICENSE
│ │ ├── __init__.py
│ │ ├── environment.yml
│ │ ├── setup.py
│ │ └── smplpytorch/
│ │ ├── __init__.py
│ │ ├── native/
│ │ │ ├── __init__.py
│ │ │ ├── models/
│ │ │ │ └── README.md
│ │ │ └── webuser/
│ │ │ ├── __init__.py
│ │ │ ├── lbs.py
│ │ │ ├── posemapper.py
│ │ │ ├── serialization.py
│ │ │ └── verts.py
│ │ └── pytorch/
│ │ ├── __init__.py
│ │ ├── rodrigues_layer.py
│ │ ├── smpl_layer.py
│ │ └── tensutils.py
│ ├── model/
│ │ ├── correction_skeleton.py
│ │ ├── correction_smpl.py
│ │ ├── diffusion_skeleton.py
│ │ ├── diffusion_smpl.py
│ │ ├── layers.py
│ │ └── sublayers.py
│ ├── optimization.py
│ ├── render/
│ │ ├── __init__.py
│ │ ├── mesh_utils.py
│ │ ├── mesh_viz.py
│ │ └── viz_helper.py
│ ├── tools.py
│ ├── train_correction_skeleton.py
│ ├── train_correction_smpl.py
│ ├── train_diffusion_skeleton.py
│ └── train_diffusion_smpl.py
├── requirements.txt
└── setup.py
================================================
FILE CONTENTS
================================================
================================================
FILE: LICENSE
================================================
MIT License
Copyright (c) 2023 Sirui Xu
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
================================================
FILE: README.md
================================================
<p align="center">
<!-- <h1 align="center">InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion</h1> -->
<strong>InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion</strong></h1>
<p align="center">
<a href='https://sirui-xu.github.io/' target='_blank'>Sirui Xu</a> 
<a href='https://github.com/lzhyu' target='_blank'>Zhengyuan Li</a> 
<a href='https://yxw.web.illinois.edu/' target='_blank'>Yu-Xiong Wang*</a> 
<a href='https://cs.illinois.edu/about/people/faculty/lgui' target='_blank'>Liang-Yan Gui*</a> 
<br>
University of Illinois Urbana-Champaign
<br>
ICCV 2023
</p>
</p>
</p>
<p align="center">
<a href='https://arxiv.org/abs/2308.16905'>
<img src='https://img.shields.io/badge/Arxiv-2308.16905-A42C25?style=flat&logo=arXiv&logoColor=A42C25'>
</a>
<a href='https://arxiv.org/pdf/2308.16905.pdf'>
<img src='https://img.shields.io/badge/Paper-PDF-yellow?style=flat&logo=arXiv&logoColor=yellow'>
</a>
<a href='https://sirui-xu.github.io/InterDiff/'>
<img src='https://img.shields.io/badge/Project-Page-green?style=flat&logo=Google%20chrome&logoColor=green'></a>
<a href='https://youtu.be/Ako1n9HEGBo'>
<img src='https://img.shields.io/badge/YouTube-Video-EA3323?style=flat&logo=youtube&logoColor=EA3323'></a>
<a href='https://www.bilibili.com/video/BV1Xh4y187ZH/'>
<img src='https://img.shields.io/badge/Bilibili-Video-4EABE6?style=flat&logo=Bilibili&logoColor=4EABE6'></a>
<a href='https://zhuanlan.zhihu.com/p/658463741'>
<img src='https://img.shields.io/badge/Zhihu-Doc-2F6BE0?style=flat&logo=Zhihu&logoColor=2F6BE0'></a>
<a href='https://github.com/Sirui-Xu/InterDiff'>
<img src='https://img.shields.io/badge/GitHub-Code-black?style=flat&logo=github&logoColor=white'></a>
<a href="" target='_blank'>
<img src="https://visitor-badge.laobi.icu/badge?page_id=Sirui-Xu.InterDiff&left_color=gray&right_color=orange">
</a>
</p>
## 🏠 About
<div style="text-align: center;">
<img src="assets/teaser.png" width=100% >
</div>
This paper addresses a novel task of anticipating 3D human-object interactions (HOIs). Most existing research on HOI synthesis lacks comprehensive whole-body interactions with dynamic objects, e.g., often limited to manipulating small or static objects. Our task is significantly more challenging, as it requires <b>modeling dynamic objects with various shapes</b>, <b>capturing whole-body motion</b>, and <b>ensuring physically valid interactions</b>. To this end, we propose InterDiff, a framework comprising two key steps: (i) interaction diffusion, where we leverage a diffusion model to encode the distribution of future human-object interactions; (ii) interaction correction, where we introduce a physics-informed predictor to correct denoised HOIs in a diffusion step. Our key insight is to <b>inject prior knowledge</b> that the <b>interactions under reference with respect to contact points</b> follow a simple pattern and are easily predictable. Experiments on multiple human-object interaction datasets demonstrate the effectiveness of our method for this task, capable of producing realistic, vivid, and remarkably long-term 3D HOI predictions.
</br>
## 📖 Implementation
To create the environment, you can check and build according to the requirement file [requirements.txt](requirements.txt), which is based on Python 3.7.
> [!NOTE]
> For specific packages such as [psbody-mesh](https://github.com/MPI-IS/mesh.git) and [human-body-prior](https://github.com/nghorbani/human_body_prior.git), you may need to build from their sources.
You may also build from a detailed requirement file based on Python 3.8, which might contain redundancies,
```
conda env create -f environment.yml
```
For more information about the implementation, see [interdiff/README.md](interdiff/README.md).
## 📹 Demo
<p align="center">
<img src="assets/teaser.gif" align="center" width=60% >
</p>
## 🔥 News
- [2023-10-27] Release training and evaluation codes, as well as our checkpoints. Let's play with it!
- [2023-09-16] Release a [demo video](https://sirui-xu.github.io/InterDiff/images/teaser_1080p.mp4) 📹.
- [2023-09-01] Our paper is available on the [Arxiv](https://arxiv.org/pdf/2308.16905) 🎉 Code/Models are coming soon. Please stay tuned! ☕️
## 📝 TODO List
- [x] Release more demos.
- [x] Data preparation.
- [x] Release training and evaluation (short-term) codes.
- [x] Release checkpoints.
- [x] Release evaluation (long-term) and optimization codes.
- [ ] Release code for visualization.
## 🔍 Overview
### 💡 Key Insight
<p align="center">
<img src="assets/5.gif" width="50%"/><img src="assets/24.gif" width="50%"/>
<img src="assets/50.gif" width="50%"/><img src="assets/38.gif" width="50%"/>
</p>
We present HOI sequences (<b>left</b>), object motions (<b>middle</b>), and objects relative to the contacts after coordinate transformations (<b>right</b>). Our key insight is to inject coordinate transformations into a diffusion model, as the relative motion shows simpler patterns that are easier to predict, e.g., being almost stationary (<b>top</b>), or rotating around a fixed axis (<b>bottom</b>).
<!--
### 🧪 Experimental Results
#### Qualitative Comparisons with Pure Diffusion
<p align="center">
<img src="assets/results.png" align="center" width="100%">
</p> -->
## 🔗 Citation
If you find our work helpful, please cite:
```bibtex
@inproceedings{
xu2023interdiff,
title={{InterDiff}: Generating 3D Human-Object Interactions with Physics-Informed Diffusion},
author={Xu, Sirui and Li, Zhengyuan and Wang, Yu-Xiong and Gui, Liang-Yan},
booktitle={ICCV},
year={2023},
}
```
## 👏 Acknowledgements
- [BEHAVE](https://virtualhumans.mpi-inf.mpg.de/behave/): We use the BEHAVE dataset for the mesh-based interaction.
- [HO-GCN](https://hiwilliamwwl.github.io/Learn-to-Predict-How-Humans-Manipulate-Large-Sized-Objects-From-Interactive-Motions-objects/): We use its presented dataset for the skeleton-based interaction.
- [TEMOS](https://github.com/Mathux/TEMOS): We adopt the rendering code for HOI visualization.
- [MDM](https://guytevet.github.io/mdm-page/): We use the MDM in our work.
- [STARS](https://github.com/Sirui-Xu/STARS): We use the STARS in our work.
## 📚 License
This code is distributed under an [MIT LICENSE](LICENSE).
Note that our code depends on other libraries, including SMPL, SMPL-X, PyTorch3D, Hugging Face, Hydra, and uses datasets which each have their own respective licenses that must also be followed.
## 🌟 Star History
<p align="center">
<a href="https://star-history.com/#Sirui-Xu/InterDiff&Date" target="_blank">
<img width="500" src="https://api.star-history.com/svg?repos=Sirui-Xu/InterDiff&type=Date" alt="Star History Chart">
</a>
<p>
================================================
FILE: environment.yml
================================================
name: interdiff
channels:
- pytorch3d
- iopath
- fvcore
- pytorch
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- blas=1.0=mkl
- bzip2=1.0.8=h7f98852_4
- ca-certificates=2022.12.7=ha878542_0
- certifi=2022.12.7=pyhd8ed1ab_0
- colorama=0.4.6=pyhd8ed1ab_0
- cudatoolkit=11.3.1=h9edb442_10
- ffmpeg=4.3=hf484d3e_0
- freetype=2.10.4=h0708190_1
- fvcore=0.1.5.post20210915=py38
- gmp=6.2.1=h58526e2_0
- gnutls=3.6.13=h85f3911_1
- igl=2.2.1=py38h52fb889_1
- intel-openmp=2021.4.0=h06a4308_3561
- iopath=0.1.9=py38
- jbig=2.1=h7f98852_2003
- jpeg=9e=h166bdaf_1
- lame=3.100=h7f98852_1001
- lcms2=2.12=hddcbb42_0
- ld_impl_linux-64=2.38=h1181459_1
- lerc=2.2.1=h9c3ff4c_0
- libblas=3.9.0=12_linux64_mkl
- libcblas=3.9.0=12_linux64_mkl
- libdeflate=1.7=h7f98852_5
- libffi=3.4.2=h6a678d5_6
- libgcc-ng=11.2.0=h1234567_1
- libgfortran-ng=12.2.0=h69a702a_19
- libgfortran5=12.2.0=h337968e_19
- libgomp=11.2.0=h1234567_1
- libiconv=1.17=h166bdaf_0
- liblapack=3.9.0=12_linux64_mkl
- libpng=1.6.37=h21135ba_2
- libstdcxx-ng=11.2.0=h1234567_1
- libtiff=4.3.0=hf544144_1
- libuv=1.43.0=h7f98852_0
- libwebp-base=1.2.2=h7f98852_1
- lz4-c=1.9.3=h9c3ff4c_1
- mkl=2021.4.0=h06a4308_640
- mkl-service=2.4.0=py38h95df7f1_0
- mkl_fft=1.3.1=py38h8666266_1
- mkl_random=1.2.2=py38h1abd341_0
- ncurses=6.3=h5eee18b_3
- nettle=3.6=he412f7d_0
- numpy-base=1.23.5=py38h31eccc5_0
- olefile=0.46=pyh9f0ad1d_1
- openh264=2.1.1=h780b84a_0
- openjpeg=2.4.0=hb52868f_1
- openssl=1.1.1s=h7f8727e_0
- pip=22.3.1=py38h06a4308_0
- portalocker=2.6.0=py38h578d9bd_1
- python=3.8.15=h7a1cb2a_2
- python_abi=3.8=2_cp38
- pytorch=1.10.0=py3.8_cuda11.3_cudnn8.2.0_0
- pytorch-mutex=1.0=cuda
- pytorch3d=0.7.2=py38_cu113_pyt1100
- pyyaml=6.0=py38h0a891b7_4
- readline=8.2=h5eee18b_0
- six=1.16.0=pyh6c4a22f_0
- sqlite=3.40.0=h5082296_0
- tabulate=0.9.0=pyhd8ed1ab_1
- termcolor=2.1.1=pyhd8ed1ab_0
- tk=8.6.12=h1ccaba5_0
- torchaudio=0.10.0=py38_cu113
- torchvision=0.11.1=py38_cu113
- tqdm=4.64.1=pyhd8ed1ab_0
- typing_extensions=4.4.0=pyha770c72_0
- wheel=0.37.1=pyhd3eb1b0_0
- xz=5.2.8=h5eee18b_0
- yacs=0.1.8=pyhd8ed1ab_0
- yaml=0.2.5=h7f98852_2
- zlib=1.2.13=h5eee18b_0
- pip:
- absl-py==1.3.0
- addict==2.4.0
- aiohttp==3.8.3
- aiosignal==1.3.1
- antlr4-python3-runtime==4.9.3
- anyio==3.6.2
- argon2-cffi==21.3.0
- argon2-cffi-bindings==21.2.0
- arrow==1.2.3
- asttokens==2.2.1
- async-timeout==4.0.2
- attrs==22.2.0
- backcall==0.2.0
- beautifulsoup4==4.11.1
- bleach==5.0.1
- cachetools==4.2.4
- cffi==1.15.1
- charset-normalizer==2.1.1
- chumpy==0.70
- click==8.1.3
- comm==0.1.2
- configargparse==1.5.3
- configer==1.3.1
- configparser==5.3.0
- contourpy==1.0.6
- cycler==0.11.0
- dash==2.7.1
- dash-core-components==2.0.0
- dash-html-components==2.0.0
- dash-table==5.0.0
- debugpy==1.6.4
- decorator==5.1.1
- defusedxml==0.7.1
- entrypoints==0.4
- executing==1.2.0
- fastjsonschema==2.16.2
- ffmpeg-python==0.2.0
- flask==2.2.2
- fonttools==4.38.0
- fqdn==1.5.1
- freetype-py==2.3.0
- frozenlist==1.3.3
- fsspec==2022.11.0
- future==0.18.2
- google-auth==1.35.0
- google-auth-oauthlib==0.4.6
- grpcio==1.51.1
- h5py==3.7.0
- human-body-prior==2.2.2.0
- hydra-core==0.11.3
- idna==3.4
- imageio==2.9.0
- imageio-ffmpeg==0.4.3
- importlib-metadata==5.2.0
- importlib-resources==5.10.2
- ipykernel==6.19.4
- ipython==8.7.0
- ipython-genutils==0.2.0
- ipywidgets==8.0.4
- isoduration==20.11.0
- itsdangerous==2.1.2
- jedi==0.18.2
- jinja2==3.1.2
- joblib==1.2.0
- jsonpointer==2.3
- jsonschema==4.17.3
- jupyter-client==7.4.8
- jupyter-core==5.1.1
- jupyter-events==0.5.0
- jupyter-server==2.0.6
- jupyter-server-terminals==0.4.3
- jupyterlab-pygments==0.2.2
- jupyterlab-widgets==3.0.5
- kiwisolver==1.4.4
- lightning-utilities==0.5.0
- llvmlite==0.38.1
- lmdb==1.4.0
- markdown==3.4.1
- markupsafe==2.1.1
- matplotlib==3.6.2
- matplotlib-inline==0.1.6
- mistune==2.0.4
- msgpack==1.0.4
- msgpack-numpy==0.4.8
- multidict==6.0.4
- nbclassic==0.4.8
- nbclient==0.7.2
- nbconvert==7.2.7
- nbformat==5.5.0
- nest-asyncio==1.5.6
- networkx==2.8.8
- notebook==6.5.2
- notebook-shim==0.2.2
- numba==0.55.1
- numexpr==2.8.4
- numpy==1.21.6
- oauthlib==3.2.2
- omegaconf==2.3.0
- open3d==0.16.0
- open3d-python==0.3.0.0
- opencv-python==4.7.0.68
- packaging==22.0
- pandas==1.5.2
- pandocfilters==1.5.0
- parso==0.8.3
- pexpect==4.8.0
- pickleshare==0.7.5
- pillow==9.3.0
- pkgutil-resolve-name==1.3.10
- platformdirs==2.6.2
- plotly==5.11.0
- plyfile==0.7.4
- pointnet2-ops==3.0.0
- prometheus-client==0.15.0
- prompt-toolkit==3.0.36
- protobuf==3.20.1
- psbody-mesh==0.4
- psutil==5.9.4
- ptyprocess==0.7.0
- pure-eval==0.2.2
- pyasn1==0.4.8
- pyasn1-modules==0.2.8
- pycparser==2.21
- pyglet==2.0.2.1
- pygments==2.13.0
- pyopengl==3.1.0
- pyparsing==3.0.9
- pyquaternion==0.9.9
- pyrender==0.1.45
- pyrsistent==0.19.3
- python-dateutil==2.8.2
- python-json-logger==2.0.4
- pytorch-lightning==1.8.6
- pytz==2022.7
- pywavelets==1.4.1
- pyzmq==24.0.1
- requests==2.28.1
- requests-oauthlib==1.3.1
- rfc3339-validator==0.1.4
- rfc3986-validator==0.1.1
- rsa==4.9
- scikit-image==0.19.3
- scikit-learn==1.2.0
- scipy==1.9.3
- send2trash==1.8.0
- setuptools==65.6.3
- shapely==2.0.0
- sklearn==0.0.post1
- smplx==0.1.28
- sniffio==1.3.0
- soupsieve==2.3.2.post1
- stack-data==0.6.2
- tenacity==8.1.0
- tensorboard==2.5.0
- tensorboard-data-server==0.6.1
- tensorboard-plugin-wit==1.8.1
- tensorboardx==2.5.1
- terminado==0.17.1
- threadpoolctl==3.1.0
- tifffile==2022.10.10
- tinycss2==1.2.1
- torchgeometry==0.1.2
- torchmetrics==0.11.0
- tornado==6.2
- traitlets==5.8.0
- transforms3d==0.4.1
- trimesh==3.9.1
- uri-template==1.2.0
- urllib3==1.26.13
- videoio==0.2.8
- wcwidth==0.2.5
- webcolors==1.12
- webencodings==0.5.1
- websocket-client==1.4.2
- werkzeug==2.2.2
- widgetsnbextension==4.0.5
- yarl==1.8.2
- zipp==3.11.0
- zstd==1.5.0.4
================================================
FILE: interdiff/README.md
================================================
This README file contains instructions for processing data and implementing the InterDiff framework.
### 1. Data Preparation
#### Preparing data from the BEHAVE dataset
The config file is located at [./data/cfg/behave.yml](data/cfg/BEHAVE.yml).
You may follow the structure in the config file, *i.e.,* putting the data into a folder named [./data/behave/](data/behave/), or you can modify the config file.
You can download our processed data from [this link](https://drive.google.com/file/d/1txDAK9YmLT13hGMlNAwHAP--wiN-kMQr/view?usp=sharing), unzip the file, and put it under [./data/](data/).
Or follow the steps below:
* Download the motion data from [this link](https://datasets.d2.mpi-inf.mpg.de/cvpr22behave/behave-30fps-params-v1.tar), and put them into [./data/behave/sequence](data/behave/sequence/). The final file structure should be:
```
./data/behave/sequence
|--data_name
|----object_fit_all.npz # object's pose sequences
|----smpl_fit_all.npz # human's pose sequences
```
* Download object data from [this link](https://datasets.d2.mpi-inf.mpg.de/cvpr22behave/objects.zip), and put them into [./data/behave/objects](data/behave/objects/). The final file structure would be similar to:
```
./data/behave/objects
|--object_name
|----object_name.jpg # one photo of the object
|----object_name.obj # reconstructed 3D scan of the object
|----object_name.obj.mtl # mesh material property
|----object_name_tex.jpg # mesh texture
|----object_name_fxxx.ply # simplified object mesh
```
* Download train/test split from [this link](https://datasets.d2.mpi-inf.mpg.de/cvpr22behave/split.json), and put it as [./data/behave/split.json](data/behave/split.json)
* We use the SMPL-H body model, please download the latest model(v1.2) from the [website](https://mano.is.tue.mpg.de/), and indicate its path in the config file ([./data/cfg/behave.yml](data/cfg/BEHAVE.yml)).
* Generate pseudo contact labels
```
python data/prepare_behave.py
```
For further information about the BEHAVE dataset and for download links, please click [here](https://virtualhumans.mpi-inf.mpg.de/behave/)
> [!IMPORTANT]
> Users may have different sampled point clouds when generating contact labels, which may affect our provided pretrained model.
> We provide our processed BEHAVE data on [this link](https://drive.google.com/file/d/1txDAK9YmLT13hGMlNAwHAP--wiN-kMQr/view?usp=sharing). You may consider trying our pretrained model with these data.
#### Preparing data from the skeleton-based dataset
The config file is located at [./data/cfg/HOI.yml](data/cfg/HOI.yml).
You may follow the structure in the config file, *i.e.,* putting the data into a folder named [./data/hoi/](data/hoi/), or you can modify the config file.
Download data from [this link](https://github.com/HiWilliamWWL/Learn-to-Predict-How-Humans-Manipulate-Large-Sized-Objects-From-Interactive-Motions-objects) and put it in the folder [./data/hoi/](data/hoi/).
### 2. Training
#### Training interaction diffusion on the BEHAVE dataset
```
python train_diffusion_smpl.py
```
You may evaluate a plain diffusion for short-term generation with checkpoint indicated:
```
python train_diffusion_smpl.py --mode test --resume_checkpoint PATH/TO/YOUR/CHECKPOINT.ckpt
```
#### Training interaction diffusion on the skeleton-based dataset
```
python train_diffusion_skeleton.py
```
#### Training interaction correction on the BEHAVE dataset
```
python train_correction_smpl.py
```
#### Training interaction correction on the skeleton-based dataset
```
python train_correction_skeleton.py
```
#### Evaluate short-term generation on the BEHAVE dataset
You need to specify the checkpoint of interaction diffusion (PATH/TO/YOUR/DIFFUSION.ckpt) and interaction correction (PATH/TO/YOUR/CORRECTION.ckpt)
To evaluate the performance of the full InterDiff pipeline with interaction correction:
```
python eval_smpl_short.py --resume_checkpoint PATH/TO/YOUR/DIFFUSION.ckpt --resume_checkpoint_obj PATH/TO/YOUR/CORRECTION.ckpt
```
To use our provided model:
```
python eval_smpl_short.py --resume_checkpoint checkpoints/diffusion.ckpt --resume_checkpoint_obj checkpoints/correction.ckpt
```
To evaluate the performance of the plain interaction diffusion without interaction correction:
```
python eval_smpl_short.py --resume_checkpoint PATH/TO/YOUR/DIFFUSION.ckpt --resume_checkpoint_obj PATH/TO/YOUR/CORRECTION.ckpt --mode no_correction
```
To use our provided model:
```
python eval_smpl_short.py --resume_checkpoint checkpoints/diffusion.ckpt --resume_checkpoint_obj checkpoints/correction.ckpt --mode no_correction
```
#### Evaluate short-term generation on the BEHAVE dataset
You need to specify the checkpoint of interaction diffusion (PATH/TO/YOUR/DIFFUSION.ckpt) and interaction correction (PATH/TO/YOUR/CORRECTION.ckpt)
To evaluate the performance of the full InterDiff pipeline with interaction correction:
```
python eval_smpl_long.py --resume_checkpoint PATH/TO/YOUR/DIFFUSION.ckpt --resume_checkpoint_obj PATH/TO/YOUR/CORRECTION.ckpt --autoregressive AUTOREGRESSIVE_STEPS
```
To use our provided model:
```
python eval_smpl_long.py --resume_checkpoint checkpoints/diffusion.ckpt --resume_checkpoint_obj checkpoints/correction.ckpt --autoregressive AUTOREGRESSIVE_STEPS
```
To evaluate the performance of the plain interaction diffusion without interaction correction:
```
python eval_smpl_long.py --resume_checkpoint PATH/TO/YOUR/DIFFUSION.ckpt --resume_checkpoint_obj PATH/TO/YOUR/CORRECTION.ckpt --mode no_correction --autoregressive AUTOREGRESSIVE_STEPS
```
To use our provided model:
```
python eval_smpl_long.py --resume_checkpoint checkpoints/diffusion.ckpt --resume_checkpoint_obj checkpoints/correction.ckpt --mode no_correction --autoregressive AUTOREGRESSIVE_STEPS
```
#### Evaluate short-term generation on the skeleton-based dataset
You need to specify the checkpoint of interaction diffusion (PATH/TO/YOUR/DIFFUSION.ckpt) and interaction correction (PATH/TO/YOUR/CORRECTION.ckpt)
To evaluate the performance of the full InterDiff pipeline with interaction correction:
```
python eval_skeleton.py --resume_checkpoint PATH/TO/YOUR/DIFFUSION.ckpt --resume_checkpoint_obj PATH/TO/YOUR/CORRECTION.ckpt
```
To evaluate the performance of the plain interaction diffusion without interaction correction:
```
python eval_skeleton_no_correction.py --resume_checkpoint PATH/TO/YOUR/DIFFUSION.ckpt
```
================================================
FILE: interdiff/checkpoints/diffusion.ckpt
================================================
[File too large to display: 50.8 MB]
================================================
FILE: interdiff/checkpoints/diffusion_skeleton.ckpt
================================================
[File too large to display: 26.0 MB]
================================================
FILE: interdiff/data/behave/objects/backpack/backpack.obj
================================================
####
#
# OBJ File Generated by Meshlab
#
####
# Object backpack_closed.obj
#
# Vertices: 35173
# Faces: 70236
#
####
mtllib ./backpack.obj.mtl
vn 0.088427 -0.915852 0.391658
v 0.425409 0.757897 0.206972 0.172549 0.239216 0.113725
vn 0.221012 -0.405308 0.887062
v 0.425312 0.759180 0.208064 0.172549 0.239216 0.117647
vn -0.183219 -0.721625 0.667599
v 0.420329 0.758737 0.208666 0.176471 0.231373 0.109804
vn -0.511599 -0.784491 -0.350485
v 0.418366 0.759607 0.206972 0.176471 0.231373 0.113725
vn -0.234769 -0.711060 -0.662779
v 0.425054 0.760162 0.202778 0.172549 0.231373 0.109804
vn -0.148946 -0.987627 -0.049081
v 0.422234 0.758080 0.206973 0.176471 0.235294 0.113725
vn -0.017164 -0.949516 -0.313249
v 0.426468 0.758079 0.205279 0.172549 0.239216 0.113725
vn -0.572207 -0.555586 0.603244
v 0.417596 0.760066 0.208666 0.176471 0.227451 0.117647
vn 0.222075 -0.813950 0.536813
v 0.431482 0.758926 0.205279 0.172549 0.239216 0.105882
vn -0.811159 -0.521153 -0.265367
v 0.416899 0.761055 0.206972 0.172549 0.227451 0.113725
vn 0.365321 -0.847153 0.385840
v 0.439396 0.760708 0.204317 0.172549 0.235294 0.094118
vn 0.272326 -0.939480 -0.207886
v 0.440438 0.761073 0.201046 0.168627 0.227451 0.094118
vn 0.187640 -0.980966 -0.049974
v 0.435599 0.759555 0.203586 0.172549 0.239216 0.098039
vn -0.107747 -0.774571 -0.623242
v 0.430708 0.760739 0.200757 0.172549 0.235294 0.105882
vn 0.073113 -0.897780 -0.434334
v 0.437279 0.760881 0.200199 0.168627 0.231373 0.098039
vn 0.393753 -0.384111 0.835115
v 0.441889 0.763326 0.205237 0.160784 0.219608 0.094118
vn 0.163696 -0.372885 0.913324
v 0.436522 0.761412 0.206312 0.172549 0.239216 0.090196
vn 0.203724 -0.014630 0.978919
v 0.430838 0.762969 0.206628 0.172549 0.227451 0.109804
vn -0.543228 -0.164637 0.823285
v 0.416996 0.762113 0.208818 0.168627 0.219608 0.113725
vn -0.391794 -0.544032 -0.741975
v 0.421758 0.761870 0.202611 0.172549 0.227451 0.109804
vn -0.033456 -0.992131 0.120653
v 0.675392 0.762748 0.154296 0.341176 0.423529 0.258824
vn 0.524791 -0.846352 -0.091007
v 0.678779 0.762159 0.146011 0.431373 0.509804 0.337255
vn 0.019286 -0.904250 -0.426568
v 0.675392 0.762624 0.141336 0.313725 0.396078 0.227451
vn -0.042070 -0.737980 -0.673510
v 0.438321 0.763027 0.196812 0.160784 0.223529 0.090196
vn -0.305619 -0.951836 -0.024598
v 0.670206 0.763207 0.146011 0.266667 0.356863 0.188235
vn 0.057434 -0.879925 -0.471628
v 0.441708 0.763381 0.196812 0.160784 0.223529 0.086275
vn -0.218883 -0.555870 -0.801934
v 0.433241 0.763311 0.197632 0.164706 0.227451 0.094118
vn -0.229016 -0.957092 -0.177558
v 0.668111 0.764263 0.142625 0.250980 0.341176 0.172549
vn -0.046462 -0.997436 -0.054426
v 0.675392 0.761432 0.146011 0.325490 0.411765 0.243137
vn 0.140717 -0.023423 0.989773
v 0.423152 0.761266 0.208826 0.176471 0.235294 0.117647
vn 0.497724 -0.782141 -0.374868
v 0.678466 0.762890 0.142478 0.427451 0.509804 0.329412
vn 0.818861 -0.455417 -0.349373
v 0.679784 0.764441 0.142625 0.792157 0.874510 0.643137
vn 0.561845 -0.641875 0.521849
v 0.445149 0.763595 0.203029 0.168627 0.231373 0.101961
vn 0.520769 -0.839430 0.155429
v 0.445791 0.763306 0.201046 0.160784 0.223529 0.094118
vn 0.603208 -0.733520 -0.313192
v 0.683342 0.764318 0.155144 0.768627 0.796078 0.662745
vn 0.638317 -0.759765 -0.123728
v 0.686926 0.764712 0.161252 0.764706 0.823529 0.639216
vn 0.057818 -0.958359 -0.279651
v 0.445095 0.764195 0.195119 0.156863 0.219608 0.082353
vn 0.275428 -0.880804 0.385129
v 0.685553 0.764307 0.170437 0.580392 0.682353 0.427451
vn 0.658573 -0.726653 -0.195596
v 0.445470 0.763158 0.199352 0.156863 0.219608 0.090196
vn 0.198865 -0.978769 0.049639
v 0.678779 0.762774 0.152353 0.419608 0.490196 0.329412
vn 0.487197 -0.858994 -0.157377
v 0.680497 0.763428 0.152407 0.501961 0.560784 0.407843
vn 0.238656 -0.970106 -0.044018
v 0.683490 0.763094 0.160617 0.647059 0.709804 0.529412
vn -0.106594 -0.940417 0.322884
v 0.682166 0.763858 0.169718 0.415686 0.509804 0.301961
vn -0.094253 -0.984493 0.147956
v 0.679202 0.763362 0.165231 0.380392 0.470588 0.286275
vn 0.200499 -0.977709 0.062336
v 0.684706 0.763476 0.166755 0.498039 0.588235 0.376471
vn 0.816468 -0.459383 -0.349783
v 0.687467 0.765814 0.159558 0.858824 0.905882 0.756863
vn 0.348385 -0.603173 0.717503
v 0.685470 0.766163 0.173085 0.600000 0.705882 0.439216
vn 0.721609 -0.491186 0.487869
v 0.687246 0.766064 0.171412 0.705882 0.827451 0.525490
vn 0.846084 -0.469017 -0.253308
v 0.681184 0.765288 0.148551 0.678431 0.729412 0.568627
vn 0.890875 -0.433321 0.136290
v 0.688607 0.766135 0.168025 0.705882 0.819608 0.517647
vn 0.479220 -0.462452 0.745980
v 0.446713 0.769484 0.204234 0.149020 0.215686 0.090196
vn -0.610498 -0.455943 -0.647617
v 0.417380 0.763874 0.204432 0.172549 0.227451 0.109804
vn 0.517656 -0.365112 0.773773
v 0.658815 0.767162 0.184810 0.447059 0.560784 0.301961
vn 0.657289 -0.690392 0.302210
v 0.659557 0.766135 0.183265 0.439216 0.552941 0.298039
vn 0.063242 -0.701913 -0.709449
v 0.655072 0.766547 0.176885 0.333333 0.447059 0.227451
vn 0.513018 -0.646701 -0.564438
v 0.658242 0.766135 0.178361 0.400000 0.509804 0.270588
vn -0.006414 -0.854587 0.519269
v 0.653379 0.766758 0.185940 0.329412 0.443137 0.223529
vn 0.645155 -0.736955 -0.201675
v 0.659111 0.765810 0.180302 0.439216 0.552941 0.298039
vn 0.577330 -0.798659 0.169805
v 0.687060 0.764587 0.168872 0.694118 0.796078 0.521569
vn -0.079526 -0.738526 0.669519
v 0.682166 0.765900 0.173360 0.396078 0.498039 0.286275
vn -0.340670 -0.833373 0.435240
v 0.677295 0.765530 0.169718 0.321569 0.415686 0.231373
vn -0.241415 -0.933587 -0.264830
v 0.444914 0.766089 0.189503 0.156863 0.223529 0.082353
vn -0.388803 -0.618407 -0.682939
v 0.438321 0.766440 0.193756 0.160784 0.223529 0.086275
vn -0.311991 -0.838601 -0.446553
v 0.441708 0.765561 0.192619 0.156863 0.223529 0.082353
vn -0.079112 -0.981408 -0.174872
v 0.654994 0.764947 0.179878 0.341176 0.450980 0.231373
vn -0.313891 -0.273644 -0.909171
v 0.424483 0.765686 0.199548 0.168627 0.223529 0.101961
vn -0.389944 -0.371226 -0.842695
v 0.434935 0.766135 0.195739 0.160784 0.223529 0.086275
vn -0.050223 -0.959723 0.276422
v 0.654881 0.765149 0.183260 0.345098 0.454902 0.231373
vn 0.306604 -0.940301 0.147744
v 0.452064 0.766107 0.194714 0.149020 0.211765 0.078431
vn 0.129443 -0.978696 0.159370
v 0.459840 0.765974 0.186652 0.156863 0.223529 0.082353
vn 0.035284 -0.956676 -0.289010
v 0.670389 0.766133 0.135723 0.239216 0.325490 0.164706
vn 0.249287 -0.849079 -0.465747
v 0.675392 0.766429 0.136291 0.262745 0.349020 0.184314
vn -0.245074 -0.964888 -0.094502
v 0.447359 0.766135 0.184162 0.156863 0.219608 0.082353
vn -0.267148 -0.930906 0.249089
v 0.667999 0.765796 0.160254 0.254902 0.352941 0.176471
vn 0.065712 -0.991811 -0.109515
v 0.448482 0.765240 0.191732 0.156863 0.219608 0.082353
vn -0.123021 -0.920139 -0.371766
v 0.670312 0.764779 0.139238 0.250980 0.337255 0.172549
vn 0.026251 -0.998836 0.040458
v 0.453562 0.765468 0.187499 0.156863 0.219608 0.078431
vn -0.259264 -0.959937 0.106315
v 0.667942 0.764237 0.151091 0.258824 0.352941 0.180392
vn -0.262189 -0.947466 0.183207
v 0.673699 0.763718 0.159558 0.313725 0.403922 0.231373
vn -0.170494 -0.962839 0.209460
v 0.661845 0.766468 0.158273 0.247059 0.345098 0.168627
vn -0.068886 -0.993794 -0.087339
v 0.661845 0.765902 0.139238 0.227451 0.321569 0.152941
vn 0.057316 -0.997062 0.050815
v 0.483282 0.766135 0.172968 0.164706 0.239216 0.090196
vn -0.105387 -0.985707 -0.131436
v 0.457669 0.766135 0.165655 0.160784 0.231373 0.086275
vn -0.003667 -0.993406 0.114588
v 0.576140 0.765493 0.168786 0.196078 0.298039 0.121569
vn 0.081126 -0.985067 0.151859
v 0.587337 0.766608 0.173105 0.203922 0.305882 0.125490
vn 0.093502 -0.984937 0.145450
v 0.468567 0.766135 0.181529 0.156863 0.223529 0.082353
vn -0.068535 -0.997445 0.020158
v 0.652908 0.766147 0.141214 0.223529 0.321569 0.149020
vn -0.181321 -0.978278 0.100473
v 0.660052 0.766135 0.152785 0.239216 0.341176 0.164706
vn -0.131836 -0.990308 -0.043695
v 0.451868 0.765494 0.179878 0.152941 0.219608 0.078431
vn -0.195968 -0.927411 -0.318600
v 0.587336 0.764779 0.157496 0.200000 0.301961 0.125490
vn -0.128613 -0.990626 -0.046036
v 0.653538 0.766092 0.139238 0.223529 0.317647 0.149020
vn -0.053063 -0.996841 -0.059099
v 0.458642 0.765258 0.173105 0.152941 0.223529 0.082353
vn -0.167361 -0.985895 0.001558
v 0.661845 0.765544 0.146011 0.235294 0.329412 0.160784
vn -0.060732 -0.998152 0.001909
v 0.580569 0.765064 0.164229 0.200000 0.298039 0.121569
vn 0.021911 -0.998970 0.039727
v 0.458642 0.765239 0.179879 0.152941 0.219608 0.078431
vn -0.000244 -0.997576 -0.069581
v 0.468802 0.765643 0.166332 0.164706 0.239216 0.090196
vn 0.039520 -0.999003 0.020749
v 0.468802 0.765418 0.173105 0.156863 0.227451 0.082353
vn 0.139950 -0.981415 0.131300
v 0.600889 0.765832 0.152328 0.207843 0.309804 0.129412
vn 0.849122 -0.344963 -0.399991
v 0.684212 0.766135 0.154149 0.827451 0.835294 0.749020
vn -0.284748 0.033015 0.958034
v 0.415825 0.767051 0.208019 0.176471 0.223529 0.098039
vn -0.818739 -0.448485 0.358509
v 0.414093 0.767149 0.206942 0.172549 0.231373 0.101961
vn 0.117343 0.085215 0.989429
v 0.422426 0.767213 0.208264 0.160784 0.231373 0.098039
vn 0.080790 -0.067370 0.994452
v 0.440861 0.767405 0.205918 0.168627 0.227451 0.098039
vn -0.096964 0.572952 0.813833
v 0.436787 0.768860 0.205066 0.172549 0.231373 0.094118
vn 0.558245 -0.547664 -0.623239
v 0.655072 0.769522 0.175250 0.333333 0.447059 0.227451
vn 0.769287 0.012257 -0.638786
v 0.658647 0.767828 0.178013 0.505882 0.619608 0.345098
vn 0.434027 -0.900490 0.027171
v 0.543310 0.767516 0.081664 0.349020 0.411765 0.266667
vn 0.915121 0.220849 0.337313
v 0.660198 0.768609 0.183451 0.756863 0.878431 0.509804
vn 0.351940 -0.789236 0.503234
v 0.456301 0.767652 0.194553 0.141176 0.203922 0.074510
vn 0.850230 -0.506208 -0.144441
v 0.680347 0.769236 0.139401 0.349020 0.431373 0.262745
vn 0.684463 -0.503428 -0.527325
v 0.718693 0.767828 0.088437 0.196078 0.301961 0.141176
vn -0.662393 -0.734224 0.148830
v 0.716108 0.768752 0.090977 0.192157 0.301961 0.133333
vn 0.980227 0.044301 -0.192852
v 0.689697 0.769522 0.163792 0.678431 0.760784 0.525490
vn -0.261083 -0.881070 -0.394399
v 0.717557 0.767393 0.088683 0.196078 0.305882 0.141176
vn 0.874485 0.150326 -0.461170
v 0.688281 0.768035 0.160367 0.843137 0.901961 0.721569
vn 0.615488 -0.648636 0.447713
v 0.450833 0.766914 0.199882 0.149020 0.215686 0.090196
vn 0.588050 -0.450509 0.671743
v 0.449207 0.766981 0.201892 0.160784 0.239216 0.098039
vn 0.891954 0.247784 -0.378181
v 0.685631 0.769166 0.156416 0.937255 0.937255 0.890196
vn 0.970196 -0.032100 0.240187
v 0.688398 0.771215 0.171412 0.729412 0.850980 0.537255
vn 0.946645 0.067232 -0.315188
v 0.655832 0.770528 0.176217 0.388235 0.498039 0.262745
vn -0.880361 -0.405309 -0.246350
v 0.412995 0.768847 0.204841 0.156863 0.223529 0.098039
vn 0.630531 -0.543802 0.553814
v 0.717854 0.770055 0.092975 0.192157 0.301961 0.133333
vn 0.796500 -0.297679 0.526284
v 0.686900 0.770020 0.173804 0.709804 0.827451 0.517647
vn -0.108721 -0.711828 0.693888
v 0.441708 0.769808 0.206630 0.149020 0.207843 0.078431
vn 0.138206 0.361568 -0.922045
v 0.717873 0.769542 0.088437 0.196078 0.301961 0.137255
vn 0.983302 0.160641 0.085510
v 0.718647 0.770368 0.090977 0.192157 0.298039 0.129412
vn -0.287204 -0.717465 0.634632
v 0.716033 0.771148 0.094477 0.188235 0.294118 0.125490
vn 0.924421 -0.192385 -0.329293
v 0.683771 0.768639 0.150380 0.882353 0.839216 0.780392
vn 0.188601 -0.791130 0.581845
v 0.462548 0.769522 0.194272 0.149020 0.211765 0.078431
vn 0.957692 0.203621 -0.203383
v 0.660268 0.768478 0.181150 0.784314 0.901961 0.525490
vn 0.860429 -0.508687 0.029990
v 0.545697 0.770368 0.082341 0.450980 0.501961 0.356863
vn -0.004463 -0.908018 -0.418908
v 0.539714 0.768233 0.077531 0.431373 0.482353 0.356863
vn 0.524083 -0.617363 -0.586686
v 0.543360 0.769251 0.077589 0.592157 0.623529 0.482353
vn 0.318303 -0.793921 0.518046
v 0.653482 0.769961 0.190105 0.345098 0.462745 0.235294
vn 0.565018 -0.472889 0.676114
v 0.655401 0.768635 0.186826 0.400000 0.509804 0.270588
vn 0.178807 0.538948 0.823143
v 0.431170 0.768819 0.205449 0.176471 0.227451 0.101961
vn 0.541177 -0.495736 0.679245
v 0.452652 0.770167 0.200580 0.133333 0.196078 0.074510
vn -0.053952 -0.931413 0.359944
v 0.660152 0.769033 0.165103 0.247059 0.352941 0.168627
vn -0.532788 -0.835156 0.136569
v 0.535957 0.769186 0.081663 0.254902 0.329412 0.184314
vn -0.163122 0.276641 -0.947028
v 0.426468 0.769522 0.198961 0.160784 0.219608 0.094118
vn 0.550839 -0.796133 -0.250497
v 0.679257 0.769135 0.135851 0.262745 0.349020 0.184314
vn -0.464062 -0.882473 -0.076732
v 0.535668 0.769120 0.078277 0.309804 0.376471 0.239216
vn 0.452540 -0.872888 0.182411
v 0.600662 0.769445 0.170628 0.227451 0.337255 0.149020
vn 0.201908 -0.956301 -0.211476
v 0.651685 0.769173 0.173105 0.274510 0.388235 0.188235
vn -0.702968 -0.199572 -0.682647
v 0.435494 0.769522 0.193991 0.160784 0.223529 0.086275
vn 0.331173 -0.935132 -0.125910
v 0.677201 0.768772 0.131900 0.235294 0.317647 0.156863
vn -0.392621 -0.919646 -0.009980
v 0.643717 0.769692 0.179032 0.258824 0.376471 0.176471
vn -0.309301 -0.760149 0.571407
v 0.667874 0.770152 0.169850 0.243137 0.349020 0.168627
vn -0.288010 -0.957627 0.000712
v 0.643335 0.770083 0.173790 0.254902 0.368627 0.168627
vn -0.361848 -0.930089 0.063255
v 0.648299 0.767459 0.183265 0.278431 0.392157 0.188235
vn -0.738193 -0.429834 -0.519917
v 0.438321 0.770154 0.190487 0.160784 0.227451 0.086275
vn -0.302662 -0.902255 0.307136
v 0.648299 0.768223 0.186652 0.282353 0.396078 0.188235
vn -0.191857 -0.656327 0.729675
v 0.678779 0.771505 0.177158 0.290196 0.392157 0.200000
vn 0.116380 -0.973944 0.194652
v 0.654508 0.769381 0.167460 0.258824 0.364706 0.176471
vn -0.559980 -0.828473 0.007485
v 0.441957 0.769680 0.173105 0.156863 0.223529 0.082353
vn 0.081178 -0.944786 0.317474
v 0.478962 0.768591 0.186652 0.164706 0.235294 0.086275
vn -0.532589 0.299658 -0.791552
v 0.432030 0.769522 0.197099 0.160784 0.223529 0.086275
vn -0.398756 -0.885759 0.237540
v 0.536606 0.770820 0.087447 0.211765 0.294118 0.141176
vn -0.183801 -0.868167 0.460981
v 0.648521 0.769522 0.189904 0.282353 0.400000 0.192157
vn 0.393869 -0.871840 0.291139
v 0.603848 0.769572 0.165203 0.219608 0.325490 0.141176
vn -0.134740 -0.942843 0.304782
v 0.539923 0.770261 0.088437 0.215686 0.298039 0.141176
vn 0.041809 -0.842401 0.537227
v 0.651685 0.770375 0.191850 0.317647 0.439216 0.215686
vn -0.684241 -0.728946 0.021249
v 0.441940 0.769706 0.176492 0.156863 0.223529 0.082353
vn -0.725509 -0.650809 -0.223797
v 0.441509 0.769316 0.185267 0.160784 0.227451 0.082353
vn 0.378998 -0.876977 0.295417
v 0.543310 0.769522 0.086319 0.247059 0.321569 0.172549
vn -0.033341 -0.973883 0.224587
v 0.594958 0.769519 0.188942 0.250980 0.356863 0.172549
vn 0.120490 -0.970120 -0.210593
v 0.670312 0.767053 0.132464 0.227451 0.313725 0.152941
vn -0.354145 -0.931507 -0.082927
v 0.443561 0.769201 0.166614 0.156863 0.227451 0.082353
vn 0.356642 -0.931571 0.070579
v 0.598373 0.769091 0.175645 0.247059 0.352941 0.164706
vn -0.249849 -0.959675 -0.128836
v 0.448481 0.767401 0.168025 0.156863 0.227451 0.082353
vn 0.206651 -0.924865 0.319250
v 0.462028 0.767206 0.190039 0.156863 0.223529 0.082353
vn -0.462677 -0.879313 -0.112864
v 0.445095 0.767217 0.183265 0.156863 0.223529 0.082353
vn -0.253661 -0.872992 0.416582
v 0.666206 0.768534 0.166208 0.243137 0.345098 0.168627
vn -0.161872 -0.982739 0.089565
v 0.539923 0.767222 0.081846 0.286275 0.356863 0.211765
vn 0.091177 -0.888099 0.450519
v 0.476375 0.770463 0.191725 0.172549 0.239216 0.090196
vn -0.140525 -0.912417 -0.384381
v 0.650999 0.767613 0.176492 0.286275 0.400000 0.196078
vn 0.249615 -0.956002 0.154118
v 0.597348 0.767580 0.166497 0.211765 0.317647 0.133333
vn 0.176573 -0.976999 0.119562
v 0.592756 0.767510 0.173952 0.211765 0.317647 0.133333
vn 0.126791 -0.988323 0.084508
v 0.595804 0.768685 0.182419 0.254902 0.360784 0.172549
vn -0.187002 -0.969771 -0.156762
v 0.451868 0.767435 0.162945 0.160784 0.235294 0.086275
vn -0.039235 -0.994707 0.094970
v 0.648299 0.769149 0.166332 0.247059 0.356863 0.168627
vn -0.099131 -0.992514 -0.071334
v 0.647606 0.769319 0.171654 0.258824 0.368627 0.176471
vn 0.768560 0.455996 -0.448758
v 0.685572 0.770393 0.160351 0.713725 0.800000 0.556863
vn 0.976063 -0.185921 -0.112847
v 0.683351 0.772793 0.148467 0.588235 0.619608 0.482353
vn 0.352429 0.364059 0.862122
v 0.426164 0.769204 0.207160 0.172549 0.227451 0.094118
vn -0.557256 -0.597332 0.576766
v 0.441245 0.770792 0.209592 0.133333 0.196078 0.058824
vn 0.370192 -0.642931 0.670521
v 0.458120 0.770950 0.197451 0.121569 0.188235 0.070588
vn -0.780877 -0.319155 0.537002
v 0.440015 0.771215 0.206517 0.141176 0.200000 0.070588
vn -0.856324 -0.212598 0.470650
v 0.412759 0.769522 0.206972 0.156863 0.227451 0.098039
vn 0.967548 0.180384 -0.176952
v 0.684160 0.770873 0.153420 0.698039 0.658824 0.584314
vn -0.999364 -0.031333 0.017028
v 0.412330 0.771850 0.204961 0.156863 0.215686 0.113725
vn 0.188148 -0.811435 0.553329
v 0.443254 0.770774 0.209924 0.129412 0.192157 0.054902
vn -0.011454 0.913970 0.405621
v 0.431716 0.770843 0.202675 0.160784 0.219608 0.090196
vn -0.304560 -0.691133 -0.655423
v 0.534843 0.771215 0.072797 0.505882 0.556863 0.454902
vn -0.146402 -0.113065 -0.982742
v 0.421388 0.769522 0.199764 0.156863 0.211765 0.090196
vn 0.092962 0.872295 -0.480062
v 0.427741 0.771035 0.200162 0.156863 0.211765 0.090196
vn 0.356238 -0.506130 -0.785447
v 0.539752 0.771215 0.074367 0.576471 0.584314 0.529412
vn 0.048801 -0.956537 0.287499
v 0.600690 0.771235 0.195628 0.329412 0.439216 0.243137
vn 0.465340 -0.787095 0.404896
v 0.445099 0.771347 0.207949 0.129412 0.188235 0.066667
vn 0.448172 -0.893662 0.022582
v 0.603531 0.771029 0.190674 0.576471 0.690196 0.478431
vn 0.407441 0.912174 -0.043940
v 0.427319 0.771631 0.202316 0.156863 0.211765 0.086275
vn 0.601171 -0.790424 -0.117574
v 0.603034 0.771215 0.184168 0.580392 0.690196 0.486275
vn -0.393394 0.636706 0.663210
v 0.434935 0.771418 0.202520 0.156863 0.215686 0.086275
vn -0.827124 -0.414198 -0.379877
v 0.532980 0.772618 0.074062 0.345098 0.411765 0.286275
vn -0.609316 -0.355368 -0.708836
v 0.414390 0.773624 0.201008 0.156863 0.207843 0.094118
vn 0.958301 -0.284106 0.030702
v 0.688173 0.773717 0.173537 0.690196 0.807843 0.490196
vn 0.898637 0.116678 0.422893
v 0.656294 0.771273 0.185859 0.615686 0.721569 0.427451
vn 0.915357 -0.271978 -0.296898
v 0.682156 0.770359 0.146859 0.619608 0.666667 0.513725
vn 0.523057 -0.831758 0.185986
v 0.655072 0.771588 0.192060 0.400000 0.521569 0.274510
vn -0.541141 0.840375 -0.030608
v 0.432602 0.771527 0.199400 0.156863 0.215686 0.086275
vn -0.667111 0.183397 -0.722031
v 0.716033 0.770792 0.089973 0.188235 0.294118 0.129412
vn 0.710958 0.447693 -0.542319
v 0.717793 0.772230 0.090883 0.188235 0.294118 0.129412
vn 0.627109 -0.778225 0.033166
v 0.601727 0.771043 0.176428 0.305882 0.415686 0.223529
vn -0.306347 -0.871435 -0.383083
v 0.535641 0.769980 0.075144 0.415686 0.470588 0.352941
vn 0.338227 -0.941061 -0.002467
v 0.600560 0.769816 0.185382 0.400000 0.509804 0.309804
vn 0.195943 -0.968360 0.154551
v 0.600884 0.770172 0.190886 0.392157 0.501961 0.301961
vn 0.869563 0.022886 -0.493291
v 0.686256 0.774302 0.162158 0.301961 0.380392 0.180392
vn 0.929987 0.212301 -0.300089
v 0.684145 0.773003 0.158252 0.517647 0.572549 0.380392
vn 0.487080 -0.641642 0.592493
v 0.451500 0.772863 0.203199 0.137255 0.180392 0.066667
vn 0.992747 -0.090852 -0.078737
v 0.683023 0.774602 0.154478 0.431373 0.486275 0.337255
vn 0.151324 -0.660967 0.734999
v 0.460758 0.773849 0.198473 0.129412 0.196078 0.066667
vn 0.658610 -0.729005 -0.186506
v 0.606922 0.774132 0.186741 0.803922 0.929412 0.690196
vn 0.456353 0.328012 -0.827134
v 0.424489 0.772544 0.200199 0.149020 0.203922 0.082353
vn -0.947601 -0.105608 0.301495
v 0.438773 0.774178 0.205186 0.133333 0.192157 0.062745
vn 0.964849 0.185371 -0.186289
v 0.687943 0.775619 0.166186 0.396078 0.470588 0.250980
vn 0.269975 -0.959337 0.082377
v 0.604927 0.771849 0.195762 0.482353 0.596078 0.388235
vn 0.307194 -0.658139 0.687375
v 0.444883 0.772989 0.211456 0.117647 0.176471 0.054902
vn 0.775519 0.162404 0.610078
v 0.423931 0.772818 0.206173 0.145098 0.203922 0.082353
vn -0.468346 0.039286 0.882671
v 0.439231 0.769876 0.205374 0.156863 0.215686 0.082353
vn 0.899172 0.394657 -0.189037
v 0.655898 0.772908 0.180302 0.643137 0.764706 0.439216
vn 0.582358 -0.798847 -0.150669
v 0.606864 0.773409 0.191838 0.803922 0.921569 0.690196
vn -0.708387 0.168194 0.685491
v 0.436718 0.773722 0.202633 0.141176 0.200000 0.074510
vn 0.821399 0.558449 0.115924
v 0.425526 0.772806 0.203215 0.149020 0.207843 0.082353
vn 0.436300 -0.842295 -0.316514
v 0.609142 0.773741 0.195582 0.717647 0.827451 0.611765
vn 0.134254 -0.810773 0.569756
v 0.472189 0.771913 0.195054 0.172549 0.239216 0.090196
vn -0.781046 -0.499944 -0.374197
v 0.714608 0.773001 0.092670 0.180392 0.270588 0.117647
vn 0.544494 -0.626768 0.557395
v 0.686021 0.772274 0.176350 0.498039 0.603922 0.352941
vn -0.244186 -0.890498 0.383909
v 0.713467 0.774313 0.096005 0.172549 0.254902 0.109804
vn 0.643582 -0.666026 -0.377110
v 0.656789 0.772685 0.192623 0.494118 0.619608 0.341176
vn 0.485397 -0.870801 0.078074
v 0.658245 0.773026 0.195966 0.541176 0.670588 0.376471
vn -0.084469 -0.893399 0.441251
v 0.655072 0.772734 0.197168 0.419608 0.545098 0.286275
vn 0.421860 -0.903470 0.076004
v 0.682166 0.770969 0.134158 0.239216 0.321569 0.164706
vn -0.851250 -0.010011 -0.524665
v 0.436659 0.772908 0.191766 0.164706 0.227451 0.086275
vn -0.058459 -0.791457 0.608423
v 0.661845 0.771631 0.169718 0.254902 0.360784 0.172549
vn 0.227366 -0.968663 0.099981
v 0.693627 0.772594 0.125848 0.200000 0.278431 0.129412
vn -0.802843 -0.580013 0.137939
v 0.532713 0.772215 0.081663 0.235294 0.313725 0.164706
vn -0.827401 -0.557578 -0.067186
v 0.532578 0.771941 0.078277 0.266667 0.341176 0.200000
vn 0.736748 -0.674310 0.050080
v 0.682567 0.772348 0.140931 0.321569 0.403922 0.239216
vn 0.736483 -0.537172 0.411144
v 0.657053 0.772908 0.173105 0.294118 0.400000 0.200000
vn 0.563204 -0.716010 0.412469
v 0.607004 0.772908 0.168848 0.247059 0.356863 0.164706
vn 0.227695 -0.812076 0.537297
v 0.658459 0.771313 0.169718 0.262745 0.368627 0.176471
vn 0.060847 -0.667984 0.741684
v 0.682166 0.772908 0.178801 0.329412 0.431373 0.227451
vn 0.135799 -0.977984 0.158450
v 0.692326 0.773292 0.135851 0.219608 0.298039 0.145098
vn -0.328299 -0.707048 0.626341
v 0.674987 0.770620 0.174799 0.266667 0.368627 0.184314
vn -0.161433 -0.763130 0.625758
v 0.641525 0.774618 0.193426 0.254902 0.380392 0.168627
vn -0.481354 -0.873541 0.072287
v 0.436765 0.772427 0.166332 0.156863 0.227451 0.082353
vn -0.042064 -0.774330 0.631382
v 0.477851 0.774829 0.198427 0.184314 0.254902 0.094118
vn -0.089083 -0.877530 -0.471174
v 0.560161 0.772882 0.091772 0.184314 0.270588 0.113725
vn -0.281776 -0.636485 0.717975
v 0.646320 0.772908 0.193425 0.274510 0.403922 0.184314
vn -0.643994 -0.763543 0.047681
v 0.533095 0.772859 0.085994 0.207843 0.290196 0.137255
vn -0.193687 -0.811000 0.552054
v 0.651685 0.772908 0.195774 0.345098 0.474510 0.235294
vn -0.909644 0.272564 -0.313458
v 0.433780 0.772908 0.196812 0.156863 0.219608 0.082353
vn -0.362093 -0.923838 -0.124149
v 0.533379 0.772818 0.091822 0.188235 0.274510 0.117647
vn -0.750598 -0.592864 0.291744
v 0.438643 0.772908 0.175494 0.160784 0.227451 0.086275
vn 0.784997 -0.601827 -0.146914
v 0.546697 0.772988 0.085180 0.270588 0.345098 0.196078
vn -0.107431 -0.876235 0.469757
v 0.599191 0.773096 0.199861 0.258824 0.364706 0.176471
vn -0.989280 -0.143236 0.028422
v 0.440136 0.772908 0.182249 0.164706 0.235294 0.090196
vn -0.930899 -0.028640 -0.364152
v 0.439533 0.772908 0.186652 0.164706 0.235294 0.090196
vn 0.478057 -0.866192 -0.145511
v 0.547025 0.772576 0.088437 0.215686 0.298039 0.145098
vn 0.113664 -0.905885 -0.407987
v 0.552014 0.772701 0.092307 0.192157 0.274510 0.117647
vn 0.117214 -0.965265 -0.233503
v 0.682952 0.772908 0.093063 0.172549 0.254902 0.109804
vn 0.138811 -0.852295 0.504306
v 0.559525 0.772967 0.193332 0.192157 0.290196 0.117647
vn -0.449896 -0.881142 0.145544
v 0.639648 0.772214 0.184959 0.254902 0.372549 0.168627
vn 0.170349 -0.891232 0.420341
v 0.551579 0.773269 0.196533 0.196078 0.290196 0.117647
vn -0.072856 -0.863273 0.499451
v 0.484889 0.774683 0.199011 0.192157 0.262745 0.098039
vn -0.389524 -0.839367 0.379122
v 0.630999 0.773562 0.168025 0.243137 0.356863 0.160784
vn -0.313328 -0.926656 -0.207689
v 0.438301 0.772902 0.152731 0.164706 0.243137 0.090196
vn 0.079980 -0.819728 0.567142
v 0.565324 0.773274 0.192626 0.192157 0.290196 0.117647
vn 0.051552 -0.941063 0.334278
v 0.553470 0.769400 0.186652 0.196078 0.290196 0.117647
vn -0.367165 -0.923892 -0.107765
v 0.435944 0.772854 0.157865 0.164706 0.239216 0.086275
vn -0.327709 -0.919755 0.216005
v 0.634752 0.772908 0.170935 0.247059 0.360784 0.164706
vn 0.018968 -0.909639 0.414967
v 0.485736 0.771752 0.193425 0.180392 0.250980 0.094118
vn -0.138277 -0.843041 0.519771
v 0.582286 0.772958 0.193107 0.200000 0.298039 0.121569
vn -0.199268 -0.846973 0.492878
v 0.593066 0.772783 0.197049 0.215686 0.321569 0.141176
vn 0.205599 -0.967379 0.148010
v 0.686477 0.771897 0.132069 0.219608 0.301961 0.149020
vn 0.213567 -0.976605 0.025145
v 0.682888 0.770419 0.125341 0.207843 0.290196 0.137255
vn 0.562155 -0.826879 0.015898
v 0.655072 0.770738 0.172783 0.290196 0.400000 0.196078
vn -0.114641 -0.926638 0.358049
v 0.595804 0.771340 0.195119 0.247059 0.352941 0.168627
vn 0.154726 -0.987737 -0.020860
v 0.686823 0.771000 0.115531 0.196078 0.270588 0.125490
vn -0.360745 -0.867194 0.343275
v 0.640641 0.773038 0.190109 0.250980 0.376471 0.168627
vn -0.093617 -0.994446 0.048097
v 0.539793 0.771141 0.091928 0.196078 0.282353 0.125490
vn 0.181450 -0.982150 -0.049577
v 0.544521 0.771583 0.091824 0.196078 0.282353 0.125490
vn -0.186595 -0.937842 -0.292633
v 0.485736 0.772908 0.116651 0.176471 0.262745 0.105882
vn 0.952563 -0.304022 -0.013941
v 0.493658 0.772808 0.113084 0.180392 0.262745 0.105882
vn -0.232465 -0.925702 -0.298390
v 0.444980 0.772894 0.145967 0.168627 0.247059 0.090196
vn 0.074194 -0.958784 -0.274278
v 0.654794 0.772784 0.081637 0.172549 0.250980 0.109804
vn -0.189928 -0.898025 -0.396835
v 0.523111 0.773046 0.100777 0.184314 0.270588 0.109804
vn 0.204691 -0.784685 0.585124
v 0.614431 0.772908 0.163704 0.227451 0.341176 0.149020
vn -0.040930 -0.976096 0.213450
v 0.533150 0.772587 0.197584 0.200000 0.298039 0.121569
vn -0.029171 -0.800638 0.598438
v 0.621205 0.772908 0.162522 0.231373 0.345098 0.152941
vn 0.029972 -0.973087 0.228482
v 0.506145 0.771996 0.193863 0.192157 0.274510 0.105882
vn -0.219771 -0.937031 -0.271429
v 0.471094 0.772842 0.132212 0.176471 0.258824 0.101961
vn -0.305842 -0.798977 0.517780
v 0.627978 0.773454 0.165444 0.239216 0.352941 0.156863
vn -0.183673 -0.926118 -0.329499
v 0.452403 0.773430 0.139702 0.168627 0.250980 0.094118
vn -0.255412 -0.937898 -0.234759
v 0.478962 0.772053 0.125691 0.176471 0.258824 0.101961
vn 0.178937 -0.981114 -0.073457
v 0.674896 0.768652 0.125691 0.215686 0.294118 0.141176
vn 0.348226 -0.492590 0.797555
v 0.553470 0.769539 0.100678 0.184314 0.274510 0.113725
vn -0.263395 -0.952205 -0.154690
v 0.445095 0.769550 0.159558 0.160784 0.235294 0.086275
vn -0.008168 -0.995775 -0.091461
v 0.658467 0.766342 0.132464 0.219608 0.305882 0.145098
vn -0.001053 -0.986667 -0.162750
v 0.658819 0.770682 0.091823 0.176471 0.258824 0.109804
vn 0.110189 -0.982322 -0.151335
v 0.682166 0.771751 0.098597 0.176471 0.254902 0.113725
vn 0.005840 -0.966935 0.254957
v 0.577177 0.767682 0.179878 0.200000 0.298039 0.121569
vn -0.162773 -0.948610 0.271375
v 0.634752 0.769591 0.159558 0.235294 0.345098 0.156863
vn 0.013625 -0.984731 0.173549
v 0.591402 0.768652 0.183265 0.215686 0.321569 0.137255
vn 0.028254 -0.968757 -0.246398
v 0.546697 0.769757 0.098597 0.184314 0.274510 0.113725
vn -0.177371 -0.970939 0.160679
v 0.641525 0.769755 0.165530 0.243137 0.352941 0.164706
vn 0.125132 -0.988184 -0.088513
v 0.683859 0.771147 0.105371 0.184314 0.262745 0.117647
vn 0.053188 -0.992000 -0.114487
v 0.666523 0.769218 0.105371 0.184314 0.266667 0.117647
vn -0.050387 -0.986293 0.157119
v 0.640663 0.767558 0.151916 0.227451 0.333333 0.152941
vn 0.604927 -0.792780 -0.074590
v 0.499534 0.769429 0.186446 0.180392 0.258824 0.098039
vn 0.012904 -0.940755 0.338843
v 0.504655 0.771815 0.193424 0.192157 0.270588 0.105882
vn 0.805560 -0.462452 0.370421
v 0.489343 0.769715 0.125688 0.176471 0.258824 0.101961
vn -0.095029 -0.991732 -0.086237
v 0.478964 0.769347 0.138371 0.172549 0.254902 0.098039
vn 0.064145 -0.987754 -0.142221
v 0.664562 0.769976 0.098595 0.180392 0.258824 0.113725
vn -0.032785 -0.992588 0.117026
v 0.644959 0.766922 0.149445 0.227451 0.329412 0.152941
vn -0.171675 -0.956078 -0.237577
v 0.451868 0.769478 0.152785 0.164706 0.243137 0.090196
vn -0.032855 -0.913860 0.404697
v 0.577177 0.770048 0.186652 0.196078 0.298039 0.121569
vn 0.063536 -0.978807 0.194680
v 0.482349 0.767067 0.179878 0.160784 0.235294 0.086275
vn -0.135151 -0.947832 -0.288703
v 0.458642 0.770321 0.146011 0.168627 0.250980 0.094118
vn -0.242366 -0.943786 -0.224783
v 0.445095 0.770929 0.152785 0.164706 0.243137 0.090196
vn -0.057336 -0.944515 0.323424
v 0.587337 0.769571 0.186652 0.203922 0.305882 0.125490
vn -0.089047 -0.983041 0.160318
v 0.655072 0.767687 0.157735 0.243137 0.345098 0.164706
vn -0.110541 -0.978778 0.172554
v 0.544520 0.769133 0.186652 0.196078 0.294118 0.117647
vn -0.096031 -0.977212 -0.189298
v 0.539583 0.769962 0.098597 0.184314 0.270588 0.113725
vn -0.536499 -0.765638 -0.354919
v 0.550859 0.767389 0.179879 0.196078 0.290196 0.117647
vn 0.923958 -0.304774 0.231116
v 0.492633 0.771053 0.118959 0.176471 0.262745 0.105882
vn 0.140068 -0.988512 -0.056791
v 0.677086 0.769614 0.115531 0.196078 0.274510 0.129412
vn -0.187363 -0.276771 0.942493
v 0.533180 0.769455 0.105853 0.184314 0.270588 0.109804
vn 0.214748 -0.958428 0.187882
v 0.600884 0.767113 0.159558 0.211765 0.313725 0.133333
vn -0.118716 -0.971185 -0.206657
v 0.458642 0.767746 0.156171 0.164706 0.243137 0.090196
vn 0.230808 -0.915222 0.330297
v 0.607658 0.768784 0.159558 0.215686 0.321569 0.137255
vn 0.116541 -0.942749 0.312478
v 0.607666 0.766607 0.151548 0.211765 0.313725 0.133333
vn 0.226340 -0.973602 0.029498
v 0.493903 0.767601 0.179879 0.172549 0.247059 0.094118
vn 0.019040 -0.961475 0.274234
v 0.563630 0.767551 0.179879 0.196078 0.290196 0.117647
vn -0.150205 -0.956763 -0.249083
v 0.472132 0.768973 0.144726 0.172549 0.250980 0.098039
vn 0.041859 -0.914607 0.402171
v 0.563630 0.770016 0.186652 0.196078 0.290196 0.117647
vn -0.120919 -0.968443 -0.217939
v 0.470327 0.768928 0.145999 0.172549 0.250980 0.098039
vn 0.145026 -0.885312 0.441804
v 0.614431 0.770384 0.159558 0.223529 0.329412 0.145098
vn -0.052165 -0.977703 -0.203410
v 0.467520 0.767611 0.152779 0.168627 0.247059 0.094118
vn 0.007203 -0.887223 0.461284
v 0.621205 0.770991 0.159558 0.227451 0.337255 0.149020
vn -0.019062 -0.989071 -0.146201
v 0.466525 0.766559 0.158429 0.168627 0.243137 0.090196
vn -0.105402 -0.922767 0.370663
v 0.627978 0.770494 0.159558 0.231373 0.341176 0.152941
vn -0.095062 -0.974301 0.204207
v 0.538449 0.771042 0.193393 0.200000 0.294118 0.117647
vn 0.035031 -0.956744 0.288814
v 0.621205 0.768285 0.152785 0.219608 0.325490 0.141176
vn 0.011511 -0.985209 0.170968
v 0.568256 0.766124 0.173105 0.196078 0.290196 0.117647
vn -0.053208 -0.929259 -0.365577
v 0.627971 0.767245 0.148597 0.219608 0.321569 0.145098
vn -0.043295 -0.979617 0.196151
v 0.634751 0.767708 0.151448 0.227451 0.329412 0.149020
vn -0.353541 -0.917531 -0.182061
v 0.654934 0.771868 0.085000 0.172549 0.254902 0.109804
vn 0.125481 -0.093324 0.987697
v 0.421063 0.772033 0.208187 0.156863 0.207843 0.098039
vn -0.226912 -0.061351 0.971981
v 0.420329 0.775025 0.209215 0.113725 0.176471 0.054902
vn 0.768848 0.387928 -0.508315
v 0.688145 0.773067 0.164201 0.403922 0.462745 0.266667
vn -0.066399 -0.657923 0.750152
v 0.461775 0.775205 0.199985 0.164706 0.215686 0.090196
vn 0.908545 -0.127759 -0.397772
v 0.684212 0.774654 0.158741 0.545098 0.603922 0.415686
vn -0.447078 -0.304022 0.841244
v 0.442801 0.773229 0.211203 0.121569 0.184314 0.058824
vn -0.056777 -0.200287 0.978091
v 0.444620 0.774896 0.212923 0.117647 0.172549 0.054902
vn -0.826092 0.137343 0.546543
v 0.439706 0.776295 0.207819 0.137255 0.192157 0.058824
vn 0.282208 0.192177 -0.939908
v 0.716050 0.775448 0.091821 0.180392 0.270588 0.117647
vn 0.396041 -0.153317 0.905343
v 0.422869 0.775660 0.209261 0.121569 0.176471 0.054902
vn -0.323279 -0.111820 -0.939674
v 0.534843 0.774165 0.071454 0.537255 0.592157 0.494118
vn 0.852528 -0.508376 0.121447
v 0.683809 0.774306 0.148205 0.478431 0.529412 0.384314
vn 0.824227 -0.398102 -0.402697
v 0.544986 0.770243 0.078959 0.588235 0.623529 0.466667
vn 0.259140 -0.249276 -0.933117
v 0.536304 0.773755 0.071718 0.619608 0.701961 0.580392
vn 0.986597 0.113287 -0.117439
v 0.718051 0.773843 0.093517 0.188235 0.294118 0.121569
vn 0.220926 -0.621936 -0.751257
v 0.713916 0.775551 0.091344 0.176471 0.254902 0.113725
vn 0.463485 -0.871024 0.162787
v 0.706784 0.774944 0.117380 0.168627 0.247059 0.105882
vn 0.992086 -0.076777 0.099354
v 0.655408 0.773684 0.177832 0.396078 0.509804 0.270588
vn 0.871011 -0.290566 -0.396120
v 0.547031 0.775235 0.082002 0.341176 0.403922 0.258824
vn 0.890464 -0.356392 -0.282947
v 0.656950 0.774996 0.190416 0.600000 0.721569 0.411765
vn 0.995880 -0.079206 0.044152
v 0.687321 0.775650 0.168961 0.690196 0.807843 0.474510
vn 0.966949 0.254964 0.001564
v 0.656323 0.773206 0.183689 0.560784 0.658824 0.380392
vn 0.605311 -0.770253 0.200771
v 0.705403 0.775772 0.123170 0.172549 0.258824 0.113725
vn 0.509582 -0.658938 0.553287
v 0.716872 0.776682 0.098813 0.176471 0.254902 0.109804
vn -0.453245 -0.538914 0.710029
v 0.655072 0.776295 0.201420 0.415686 0.549020 0.286275
vn 0.375002 -0.643435 0.667356
v 0.686399 0.774612 0.179970 0.505882 0.607843 0.349020
vn 0.674651 -0.014961 -0.737985
v 0.543161 0.776295 0.075032 0.529412 0.545098 0.450980
vn 0.290838 -0.820266 0.492520
v 0.658459 0.774117 0.199343 0.509804 0.635294 0.352941
vn 0.838444 -0.496390 -0.224963
v 0.659934 0.774580 0.195872 0.713725 0.847059 0.498039
vn 0.069130 -0.680408 0.729565
v 0.474158 0.775574 0.199424 0.176471 0.243137 0.090196
vn 0.232180 -0.943296 0.237247
v 0.610198 0.773728 0.200199 0.415686 0.529412 0.325490
vn 0.254923 -0.964378 0.070632
v 0.703996 0.774028 0.117108 0.168627 0.247059 0.105882
vn -0.921411 -0.102885 -0.374723
v 0.412813 0.774760 0.202422 0.156863 0.215686 0.105882
vn -0.675231 0.191775 0.712239
v 0.442490 0.775797 0.211212 0.113725 0.172549 0.058824
vn 0.263008 -0.622252 0.737312
v 0.460518 0.777523 0.201673 0.152941 0.207843 0.090196
vn 0.404852 -0.766565 0.498471
v 0.453372 0.776230 0.207943 0.121569 0.180392 0.070588
vn -0.320254 0.099042 0.942140
v 0.416854 0.774390 0.207508 0.145098 0.200000 0.086275
vn 0.415165 -0.830431 -0.371514
v 0.611805 0.776543 0.193267 0.823529 0.937255 0.709804
vn 0.431633 -0.483802 -0.761333
v 0.717754 0.777314 0.092988 0.176471 0.262745 0.113725
vn -0.385206 -0.462725 -0.798437
v 0.415430 0.776407 0.198653 0.156863 0.207843 0.086275
vn 0.481796 -0.826377 0.291503
v 0.714763 0.776204 0.083216 0.180392 0.231373 0.121569
vn 0.451532 -0.549789 0.702745
v 0.449256 0.775998 0.210161 0.125490 0.180392 0.062745
vn 0.741700 -0.072298 -0.666824
v 0.545502 0.779682 0.078277 0.301961 0.372549 0.227451
vn 0.948044 -0.317963 -0.010625
v 0.656445 0.775861 0.185393 0.423529 0.498039 0.278431
vn 0.285883 -0.923289 0.256533
v 0.712820 0.776379 0.101069 0.164706 0.231373 0.101961
vn 0.603098 -0.738256 -0.302076
v 0.716033 0.776295 0.079443 0.176471 0.219608 0.109804
vn 0.533145 -0.805199 0.259637
v 0.709736 0.776295 0.113837 0.176471 0.243137 0.109804
vn 0.090685 -0.276065 -0.956851
v 0.419271 0.776347 0.198284 0.145098 0.196078 0.074510
vn -0.838428 0.070033 0.540494
v 0.438328 0.777565 0.204432 0.129412 0.184314 0.058824
vn 0.470855 -0.876945 0.096241
v 0.711533 0.776295 0.110451 0.176471 0.223529 0.109804
vn 0.759259 -0.640130 0.117299
v 0.683868 0.776295 0.152838 0.588235 0.623529 0.478431
vn -0.109923 -0.602463 -0.790541
v 0.714340 0.776694 0.078548 0.176471 0.227451 0.113725
vn 0.815674 -0.571391 0.090489
v 0.689715 0.775591 0.176492 0.537255 0.635294 0.372549
vn 0.887187 -0.461263 0.011638
v 0.655898 0.776295 0.179878 0.380392 0.494118 0.258824
vn 0.398681 -0.892341 0.211614
v 0.700276 0.775466 0.131428 0.172549 0.250980 0.109804
vn -0.114681 -0.949690 -0.291438
v 0.710560 0.775333 0.091895 0.172549 0.247059 0.109804
vn 0.982320 0.028502 -0.185027
v 0.424412 0.777988 0.201892 0.133333 0.188235 0.062745
vn 0.831060 -0.533536 -0.157094
v 0.684124 0.776295 0.156636 0.564706 0.611765 0.447059
vn 0.863008 -0.499974 -0.072402
v 0.661310 0.776295 0.198506 0.709804 0.839216 0.498039
vn 0.971798 -0.098107 0.214439
v 0.424520 0.775507 0.205279 0.129412 0.188235 0.066667
vn -0.061480 -0.981487 -0.181391
v 0.714126 0.775665 0.080419 0.180392 0.227451 0.117647
vn 0.833835 -0.481745 -0.269520
v 0.688308 0.776441 0.172258 0.623529 0.725490 0.435294
vn 0.423438 -0.301950 0.854123
v 0.686092 0.776695 0.181263 0.607843 0.709804 0.419608
vn 0.579026 -0.808079 0.108337
v 0.699099 0.775778 0.137545 0.207843 0.266667 0.125490
vn -0.855490 0.133085 0.500425
v 0.439676 0.775974 0.178927 0.172549 0.243137 0.101961
vn -0.944513 0.019747 0.327881
v 0.434489 0.778623 0.198082 0.145098 0.200000 0.074510
vn 0.669649 -0.653598 0.352675
v 0.660245 0.775368 0.199346 0.635294 0.764706 0.443137
vn 0.725547 -0.652779 0.217855
v 0.604427 0.773417 0.174815 0.341176 0.447059 0.254902
vn -0.920544 0.364216 0.141228
v 0.440987 0.775956 0.182419 0.180392 0.250980 0.109804
vn -0.850451 0.460619 -0.254091
v 0.441441 0.777353 0.186229 0.184314 0.254902 0.113725
vn 0.316913 -0.919488 -0.232611
v 0.613350 0.774764 0.197659 0.631373 0.737255 0.529412
vn 0.437692 -0.864298 0.247822
v 0.685510 0.775588 0.146796 0.364706 0.435294 0.282353
vn 0.301679 -0.953074 0.025298
v 0.707313 0.775020 0.111454 0.164706 0.227451 0.098039
vn 0.136078 -0.934815 0.328029
v 0.688516 0.775634 0.144955 0.298039 0.376471 0.219608
vn 0.533768 -0.802910 0.265381
v 0.704593 0.776295 0.129078 0.172549 0.266667 0.117647
vn 0.278251 -0.956433 0.088383
v 0.619511 0.776448 0.200199 0.352941 0.462745 0.266667
vn 0.111001 -0.968326 0.223662
v 0.710953 0.775283 0.098597 0.168627 0.239216 0.101961
vn 0.205747 -0.978361 0.021863
v 0.707312 0.774988 0.101772 0.172549 0.243137 0.105882
vn 0.206501 -0.861960 -0.463014
v 0.682938 0.776594 0.082869 0.168627 0.250980 0.105882
vn -0.450502 -0.891970 -0.037920
v 0.631599 0.777132 0.190541 0.258824 0.380392 0.172549
vn -0.699795 -0.713096 0.042192
v 0.632480 0.776684 0.181572 0.254902 0.376471 0.172549
vn 0.690667 -0.610804 0.387166
v 0.656773 0.776295 0.176492 0.313725 0.427451 0.211765
vn 0.159981 -0.914811 -0.370846
v 0.667420 0.776618 0.075797 0.164706 0.247059 0.101961
vn 0.309891 -0.799765 0.514143
v 0.658459 0.776846 0.175720 0.290196 0.400000 0.196078
vn -0.447726 -0.860757 -0.242155
v 0.431154 0.776099 0.151492 0.168627 0.247059 0.090196
vn -0.796865 0.280803 -0.534936
v 0.437209 0.776157 0.191732 0.164706 0.231373 0.090196
vn -0.553390 -0.824753 -0.116369
v 0.428161 0.776631 0.156172 0.172549 0.247059 0.090196
vn -0.628513 -0.766199 0.133833
v 0.428161 0.776675 0.161252 0.176471 0.250980 0.094118
vn 0.010166 -0.816859 0.576748
v 0.661845 0.777180 0.175336 0.266667 0.376471 0.180392
vn -0.245959 -0.794409 0.555354
v 0.665232 0.777370 0.176492 0.258824 0.364706 0.172549
vn -0.164965 -0.744387 0.647051
v 0.675392 0.775845 0.180407 0.239216 0.345098 0.164706
vn -0.928781 -0.320218 -0.186617
v 0.530811 0.776295 0.079970 0.223529 0.301961 0.152941
vn -0.918071 -0.033359 -0.395009
v 0.531952 0.776295 0.074890 0.274510 0.349020 0.211765
vn -0.302216 -0.708534 0.637688
v 0.585991 0.776225 0.198756 0.196078 0.298039 0.121569
vn -0.679871 -0.551456 0.483396
v 0.434602 0.776295 0.173105 0.164706 0.235294 0.086275
vn 0.133766 -0.958538 0.251620
v 0.695604 0.776966 0.147864 0.250980 0.325490 0.176471
vn -0.596131 -0.757234 0.266882
v 0.433113 0.775147 0.168510 0.164706 0.235294 0.086275
vn -0.226758 -0.790684 0.568682
v 0.482349 0.778113 0.203586 0.196078 0.262745 0.098039
vn -0.617651 -0.741414 -0.262321
v 0.529269 0.776246 0.087001 0.188235 0.274510 0.117647
vn 0.220974 -0.662646 0.715591
v 0.561691 0.776569 0.197092 0.188235 0.278431 0.117647
vn 0.133763 -0.811050 0.569478
v 0.612738 0.778407 0.207785 0.243137 0.356863 0.160784
vn 0.062126 -0.922733 0.380400
v 0.638138 0.776706 0.196004 0.247059 0.376471 0.160784
vn 0.112611 -0.824479 -0.554574
v 0.553470 0.775168 0.088437 0.196078 0.278431 0.125490
vn 0.184232 -0.708767 0.680962
v 0.641525 0.777037 0.196090 0.254902 0.392157 0.164706
vn -0.329680 -0.144850 0.932915
v 0.648299 0.776295 0.195159 0.317647 0.466667 0.200000
vn 0.360199 -0.764208 0.535017
v 0.554839 0.776295 0.200199 0.188235 0.286275 0.117647
vn -0.008989 -0.905533 0.424182
v 0.499282 0.774606 0.200199 0.200000 0.274510 0.105882
vn -0.085298 -0.874490 0.477485
v 0.489969 0.778314 0.206861 0.207843 0.282353 0.109804
vn -0.601380 0.000843 0.798963
v 0.651590 0.776295 0.196903 0.396078 0.541176 0.258824
vn 0.496152 -0.611589 -0.616273
v 0.549427 0.777602 0.083946 0.227451 0.305882 0.156863
vn -0.322964 -0.794553 0.514178
v 0.670461 0.777125 0.179841 0.239216 0.345098 0.164706
vn 0.247276 -0.814680 -0.524549
v 0.693662 0.776467 0.087987 0.172549 0.254902 0.109804
vn -0.071846 -0.803178 -0.591391
v 0.556857 0.776475 0.086743 0.188235 0.274510 0.117647
vn -0.104367 -0.827676 0.551416
v 0.600884 0.775087 0.203586 0.239216 0.349020 0.160784
vn -0.214575 -0.927304 0.306700
v 0.636393 0.775851 0.193484 0.247059 0.372549 0.164706
vn -0.154653 -0.660157 0.735034
v 0.579058 0.776598 0.196496 0.192157 0.290196 0.121569
vn -0.012541 -0.786016 0.618078
v 0.605964 0.778407 0.208470 0.223529 0.337255 0.145098
vn -0.161625 -0.875082 -0.456189
v 0.705873 0.777130 0.088437 0.172549 0.247059 0.109804
vn -0.413686 -0.567759 0.711698
v 0.624591 0.778187 0.168651 0.247059 0.364706 0.164706
vn -0.120981 -0.611728 0.781762
v 0.621205 0.776575 0.166332 0.243137 0.356863 0.160784
vn -0.529188 -0.691860 0.491213
v 0.627978 0.776444 0.169718 0.247059 0.364706 0.164706
vn -0.633906 -0.709583 0.307660
v 0.631074 0.776295 0.173699 0.250980 0.368627 0.168627
vn -0.465984 -0.883628 0.045386
v 0.431548 0.774602 0.161252 0.164706 0.239216 0.086275
vn -0.466507 -0.875885 0.123274
v 0.634369 0.775498 0.188345 0.254902 0.376471 0.168627
vn -0.504628 -0.564429 0.653276
v 0.653879 0.774445 0.198365 0.419608 0.552941 0.286275
vn 0.102054 -0.982942 -0.153001
v 0.701830 0.774433 0.097284 0.176471 0.258824 0.109804
vn -0.011497 -0.996691 -0.080463
v 0.707566 0.774953 0.095211 0.172549 0.250980 0.109804
vn 0.080898 -0.890757 0.447223
v 0.607446 0.773973 0.201874 0.329412 0.439216 0.243137
vn 0.158863 -0.925718 -0.343234
v 0.690633 0.774790 0.090130 0.172549 0.254902 0.109804
vn 0.389075 -0.773097 -0.500940
v 0.550083 0.774430 0.088437 0.203922 0.290196 0.133333
vn 0.177803 -0.982796 -0.049989
v 0.702486 0.773938 0.103677 0.180392 0.254902 0.113725
vn -0.035425 -0.802517 0.595576
v 0.573790 0.773535 0.192494 0.192157 0.290196 0.117647
vn -0.845410 0.353537 0.400368
v 0.434478 0.773635 0.199807 0.149020 0.207843 0.078431
vn 0.242769 -0.934377 -0.260774
v 0.564691 0.773992 0.088779 0.180392 0.266667 0.113725
vn 0.142878 -0.920296 0.364199
v 0.546047 0.775897 0.204759 0.196078 0.294118 0.121569
vn 0.095301 -0.902546 -0.419915
v 0.699099 0.775979 0.091178 0.172549 0.254902 0.109804
vn 0.001735 -0.973598 0.228263
v 0.692326 0.773950 0.139238 0.231373 0.309804 0.156863
vn 0.268669 -0.945510 0.183925
v 0.695713 0.774339 0.139074 0.215686 0.290196 0.141176
vn -0.323932 -0.897998 -0.297772
v 0.438321 0.774885 0.146011 0.168627 0.247059 0.090196
vn 0.135425 -0.937626 -0.320184
v 0.675392 0.774054 0.085897 0.168627 0.247059 0.105882
vn 0.394792 -0.747891 0.533666
v 0.609450 0.772908 0.166332 0.231373 0.341176 0.152941
vn -0.458635 -0.868888 0.186245
v 0.635310 0.773213 0.173105 0.250980 0.364706 0.164706
vn -0.970115 0.226860 0.086089
v 0.412794 0.776125 0.203586 0.156863 0.211765 0.101961
vn -0.791922 0.276431 0.544468
v 0.413290 0.775883 0.205343 0.156863 0.203922 0.098039
vn 0.568374 -0.808741 -0.151293
v 0.609725 0.776478 0.190289 0.835294 0.952941 0.713725
vn -0.586266 0.513177 0.626851
v 0.442620 0.779085 0.208934 0.121569 0.176471 0.058824
vn 0.504976 -0.707037 0.495073
v 0.457919 0.778874 0.207567 0.129412 0.192157 0.054902
vn 0.017935 -0.529860 0.847895
v 0.466685 0.777941 0.201892 0.156863 0.215686 0.105882
vn 0.586071 -0.736097 -0.338649
v 0.612933 0.778444 0.188739 0.396078 0.490196 0.321569
vn 0.420874 -0.463544 0.779738
v 0.455880 0.778639 0.209038 0.129412 0.192157 0.058824
vn 0.725875 -0.655470 0.208481
v 0.712676 0.777240 0.111044 0.184314 0.223529 0.121569
vn 0.838720 -0.343801 0.422315
v 0.717716 0.773797 0.095456 0.188235 0.294118 0.125490
vn 0.759950 -0.584736 0.283831
v 0.714913 0.778778 0.105194 0.176471 0.223529 0.113725
vn -0.584134 -0.281832 0.761156
v 0.436387 0.777790 0.176275 0.168627 0.239216 0.094118
vn 0.725576 -0.320271 0.609070
v 0.689466 0.776718 0.178756 0.705882 0.823529 0.498039
vn -0.661415 0.204528 -0.721594
v 0.533233 0.776995 0.072979 0.321569 0.388235 0.258824
vn -0.807015 0.202634 0.554676
v 0.441480 0.779758 0.178820 0.192157 0.262745 0.129412
vn 0.112970 -0.960791 -0.253216
v 0.623734 0.777939 0.197115 0.317647 0.431373 0.231373
vn 0.548182 -0.836265 -0.012552
v 0.686397 0.778523 0.157839 0.529412 0.592157 0.411765
vn 0.350326 -0.106146 -0.930594
v 0.421628 0.775431 0.199123 0.141176 0.196078 0.074510
vn -0.550077 -0.665224 -0.504869
v 0.709528 0.778741 0.081218 0.172549 0.227451 0.109804
vn 0.783253 -0.578604 -0.227448
v 0.687095 0.778389 0.161675 0.509804 0.576471 0.372549
vn -0.921935 0.361563 -0.138953
v 0.434839 0.783365 0.198328 0.152941 0.207843 0.086275
vn 0.744436 -0.620162 0.247416
v 0.691363 0.778737 0.175595 0.447059 0.533333 0.298039
vn 0.978817 -0.017089 -0.204025
v 0.657548 0.778167 0.191955 0.737255 0.882353 0.513725
vn 0.135149 0.281576 -0.949973
v 0.537383 0.777988 0.072020 0.462745 0.505882 0.411765
vn 0.736585 -0.503651 0.451417
v 0.607590 0.776603 0.172698 0.325490 0.431373 0.239216
vn 0.495638 0.061109 -0.866377
v 0.540770 0.777142 0.073416 0.462745 0.490196 0.407843
vn 0.939572 -0.038646 -0.340162
v 0.661097 0.777142 0.196812 0.741176 0.870588 0.521569
vn 0.741764 -0.660833 -0.114395
v 0.700793 0.777717 0.140957 0.215686 0.266667 0.129412
vn 0.365861 -0.923117 0.118326
v 0.701529 0.777823 0.144318 0.164706 0.223529 0.109804
vn 0.184125 -0.612906 0.768404
v 0.658459 0.777988 0.203096 0.478431 0.607843 0.329412
vn 0.785315 0.016279 0.618882
v 0.425843 0.779581 0.208464 0.113725 0.168627 0.047059
vn 0.459574 -0.884785 0.077118
v 0.712284 0.776842 0.104524 0.164706 0.223529 0.101961
vn -0.262377 -0.935566 -0.236377
v 0.709344 0.777167 0.085897 0.172549 0.235294 0.109804
vn 0.295560 -0.949454 -0.105747
v 0.712223 0.776941 0.087379 0.172549 0.235294 0.113725
vn 0.403515 -0.806655 0.431838
v 0.462358 0.780850 0.203945 0.156863 0.227451 0.094118
vn 0.339352 -0.928495 -0.150786
v 0.702486 0.778938 0.140084 0.215686 0.266667 0.129412
vn -0.888914 -0.354627 -0.289951
v 0.413522 0.777663 0.199630 0.164706 0.215686 0.086275
vn 0.411078 -0.764558 -0.496454
v 0.615938 0.778564 0.192041 0.431373 0.529412 0.349020
vn -0.259844 0.405541 0.876366
v 0.445113 0.777770 0.212327 0.121569 0.180392 0.054902
vn -0.952480 -0.208804 -0.221773
v 0.411734 0.780740 0.198505 0.160784 0.219608 0.086275
vn 0.925645 -0.215471 0.311053
v 0.717830 0.780098 0.100377 0.172549 0.227451 0.101961
vn -0.631884 0.222818 0.742344
v 0.416318 0.780435 0.206116 0.145098 0.196078 0.078431
vn 0.011191 -0.948225 0.317402
v 0.712199 0.779443 0.160851 0.847059 0.992157 0.709804
vn 0.297235 -0.091086 0.950450
v 0.451990 0.778729 0.210378 0.125490 0.180392 0.066667
vn 0.685914 -0.553862 -0.471973
v 0.612049 0.779593 0.184855 0.321569 0.400000 0.235294
vn 0.889925 -0.078896 0.449231
v 0.709025 0.780952 0.118551 0.172549 0.250980 0.113725
vn 0.812770 -0.198036 -0.547892
v 0.718631 0.781082 0.089202 0.176471 0.262745 0.105882
vn 0.217887 -0.798711 -0.560879
v 0.619878 0.777772 0.195922 0.454902 0.552941 0.368627
vn 0.224408 0.193536 0.955084
v 0.447447 0.778589 0.211851 0.117647 0.180392 0.062745
vn 0.582967 -0.796786 0.159003
v 0.704288 0.779632 0.159147 0.349020 0.337255 0.184314
vn 0.823867 -0.554103 -0.119218
v 0.605579 0.775766 0.179455 0.478431 0.584314 0.392157
vn 0.902840 -0.425551 0.061524
v 0.716695 0.777353 0.080393 0.180392 0.227451 0.117647
vn 0.582335 -0.801974 -0.133131
v 0.706991 0.779425 0.141251 0.294118 0.396078 0.172549
vn 0.309863 -0.949159 -0.055524
v 0.688939 0.779682 0.162320 0.450980 0.525490 0.325490
vn -0.135394 -0.879768 -0.455716
v 0.624337 0.779309 0.194048 0.325490 0.435294 0.243137
vn -0.413047 -0.008807 0.910667
v 0.440015 0.780528 0.177507 0.192157 0.266667 0.125490
vn 0.559303 -0.109222 0.821736
v 0.689236 0.781375 0.178411 0.278431 0.333333 0.145098
vn 0.663431 -0.130171 0.736828
v 0.685751 0.779682 0.181676 0.513725 0.596078 0.341176
vn 0.680281 -0.616761 -0.396009
v 0.715125 0.779371 0.088206 0.176471 0.239216 0.113725
vn 0.320487 -0.935809 0.146797
v 0.704674 0.779920 0.149352 0.164706 0.227451 0.101961
vn 0.876731 0.200165 -0.437352
v 0.657902 0.779845 0.194272 0.690196 0.850980 0.486275
vn -0.955884 0.285045 0.070959
v 0.443217 0.779893 0.184322 0.207843 0.282353 0.141176
vn -0.306400 -0.434876 -0.846760
v 0.711142 0.781604 0.077851 0.180392 0.227451 0.113725
vn 0.295345 -0.936308 0.189999
v 0.696060 0.780097 0.170698 0.282353 0.360784 0.180392
vn -0.051666 -0.997799 0.041565
v 0.693560 0.779699 0.164026 0.372549 0.447059 0.254902
vn -0.422260 0.501614 -0.755036
v 0.534906 0.778947 0.072940 0.321569 0.388235 0.258824
vn 0.914350 0.096358 -0.393292
v 0.660549 0.780620 0.197659 0.607843 0.709804 0.415686
vn 0.382327 -0.503883 0.774550
v 0.691903 0.782265 0.177225 0.333333 0.407843 0.211765
vn 0.203701 0.253606 -0.945616
v 0.539923 0.782323 0.075100 0.262745 0.333333 0.192157
vn 0.976188 -0.196829 -0.091194
v 0.661026 0.782010 0.200199 0.564706 0.674510 0.388235
vn -0.385132 -0.376116 -0.842740
v 0.413768 0.779684 0.197061 0.164706 0.211765 0.082353
vn 0.724669 -0.440337 0.530056
v 0.659984 0.779831 0.203489 0.529412 0.654902 0.364706
vn 0.025921 -0.256472 -0.966204
v 0.417154 0.779715 0.196821 0.145098 0.196078 0.074510
vn -0.193626 -0.204603 0.959503
v 0.649145 0.779682 0.195642 0.313725 0.529412 0.149020
vn -0.638787 -0.136419 0.757193
v 0.651825 0.780598 0.196728 0.325490 0.513725 0.156863
vn -0.098879 -0.518741 0.849194
v 0.474845 0.779967 0.202679 0.156863 0.215686 0.074510
vn 0.224597 -0.904333 0.362956
v 0.622954 0.778332 0.203586 0.262745 0.384314 0.176471
vn -0.258371 -0.700897 0.664822
v 0.478115 0.780203 0.203739 0.172549 0.235294 0.082353
vn -0.864813 -0.073012 0.496757
v 0.653105 0.779009 0.199339 0.454902 0.607843 0.298039
vn 0.452627 -0.533036 0.714843
v 0.560009 0.779682 0.200084 0.176471 0.254902 0.125490
vn -0.880291 -0.464480 0.096674
v 0.424775 0.779682 0.158640 0.196078 0.274510 0.105882
vn 0.015462 -0.602702 0.797817
v 0.571250 0.777797 0.196812 0.184314 0.270588 0.117647
vn 0.035152 -0.396210 0.917487
v 0.645095 0.776788 0.194948 0.282353 0.431373 0.176471
vn -0.700224 0.597226 -0.391162
v 0.442101 0.780528 0.189708 0.184314 0.254902 0.109804
vn -0.771104 -0.529414 0.353724
v 0.427492 0.779050 0.165928 0.184314 0.262745 0.101961
vn -0.506832 0.468881 -0.723375
v 0.437937 0.782126 0.194814 0.156863 0.215686 0.086275
vn -0.255611 -0.465198 0.847499
v 0.579492 0.780914 0.199461 0.180392 0.262745 0.117647
vn -0.228066 -0.523126 -0.821173
v 0.701883 0.779521 0.086727 0.172549 0.250980 0.109804
vn -0.467037 -0.692779 -0.549484
v 0.705340 0.779281 0.085050 0.172549 0.243137 0.109804
vn 0.558976 -0.638056 0.529557
v 0.555605 0.779235 0.203128 0.184314 0.270588 0.121569
vn 0.701886 -0.684008 -0.198718
v 0.688571 0.778355 0.168660 0.533333 0.627451 0.376471
vn 0.441356 -0.886733 0.137508
v 0.686399 0.778181 0.154139 0.470588 0.525490 0.368627
vn 0.281644 -0.958429 0.045719
v 0.702486 0.778755 0.158712 0.309804 0.356863 0.180392
vn 0.288936 -0.957085 0.022436
v 0.701292 0.779018 0.153631 0.250980 0.325490 0.164706
vn -0.008656 -0.992345 0.123191
v 0.696383 0.778510 0.155043 0.309804 0.384314 0.215686
vn 0.325399 -0.931811 -0.160761
v 0.691484 0.779343 0.170057 0.403922 0.490196 0.274510
vn 0.073599 -0.989688 0.122886
v 0.689925 0.779525 0.156979 0.400000 0.470588 0.298039
vn 0.023199 -0.990388 0.136360
v 0.698253 0.778816 0.162310 0.309804 0.384314 0.196078
vn 0.003631 -0.865482 0.500928
v 0.675392 0.778850 0.184638 0.223529 0.329412 0.152941
vn 0.112919 -0.753547 0.647623
v 0.678779 0.778384 0.183265 0.239216 0.341176 0.164706
vn -0.395542 -0.786126 0.474923
v 0.482746 0.780000 0.206705 0.192157 0.258824 0.094118
vn 0.410446 -0.485268 0.772042
v 0.683717 0.779682 0.183265 0.317647 0.411765 0.215686
vn -0.567425 -0.780472 -0.262473
v 0.428190 0.780140 0.145448 0.168627 0.250980 0.094118
vn 0.163140 -0.927150 0.337312
v 0.661845 0.780066 0.181572 0.290196 0.403922 0.200000
vn 0.430233 -0.902481 0.020657
v 0.692832 0.779356 0.173105 0.360784 0.447059 0.239216
vn 0.070024 -0.749354 -0.658456
v 0.553470 0.779373 0.083357 0.200000 0.282353 0.129412
vn -0.810573 -0.381724 -0.444137
v 0.529429 0.778951 0.081663 0.200000 0.282353 0.129412
vn 0.406276 -0.671923 -0.619241
v 0.682166 0.779690 0.078286 0.168627 0.254902 0.105882
vn -0.146241 -0.794911 0.588838
v 0.484453 0.783718 0.214630 0.211765 0.305882 0.125490
vn 0.232754 -0.919489 0.316806
v 0.545003 0.781557 0.220519 0.200000 0.301961 0.117647
vn -0.109126 -0.738506 -0.665358
v 0.555928 0.782014 0.080027 0.188235 0.270588 0.117647
vn 0.383867 -0.761358 -0.522475
v 0.678779 0.779554 0.075891 0.168627 0.250980 0.105882
vn -0.534381 -0.670333 -0.514870
v 0.526402 0.779704 0.085106 0.184314 0.270588 0.113725
vn -0.255434 -0.765750 0.590237
v 0.594083 0.777477 0.204429 0.203922 0.309804 0.129412
vn -0.879329 0.010159 -0.476106
v 0.530995 0.779682 0.078277 0.215686 0.294118 0.145098
vn 0.524910 -0.508415 0.682630
v 0.611044 0.777462 0.169371 0.270588 0.380392 0.184314
vn 0.139456 -0.822952 0.550728
v 0.630176 0.780692 0.204973 0.250980 0.407843 0.149020
vn 0.065418 -0.824861 0.561538
v 0.506056 0.779509 0.208666 0.211765 0.294118 0.117647
vn 0.179713 -0.817631 0.546976
v 0.617818 0.779278 0.207567 0.239216 0.356863 0.160784
vn 0.860016 -0.482433 0.166227
v 0.657960 0.779567 0.189353 0.541176 0.670588 0.372549
vn 0.510271 -0.845257 0.158631
v 0.658818 0.779039 0.181572 0.329412 0.439216 0.223529
vn -0.174971 -0.896320 0.407426
v 0.665232 0.779442 0.180471 0.266667 0.376471 0.180392
vn -0.004814 -0.826278 0.563242
v 0.512829 0.778639 0.206973 0.207843 0.298039 0.117647
vn 0.678664 -0.708107 0.194934
v 0.658886 0.779682 0.186652 0.392157 0.509804 0.270588
vn -0.441886 -0.854562 -0.272874
v 0.627892 0.779098 0.191732 0.278431 0.396078 0.192157
vn -0.138940 -0.864910 0.482313
v 0.520450 0.777651 0.206509 0.203922 0.298039 0.121569
vn 0.048331 -0.395537 0.917177
v 0.617818 0.779682 0.167844 0.250980 0.364706 0.168627
vn -0.716003 -0.681062 -0.153278
v 0.628863 0.780095 0.184959 0.270588 0.388235 0.184314
vn -0.517943 -0.529555 0.671793
v 0.655243 0.779879 0.203586 0.380392 0.517647 0.254902
vn -0.270373 -0.799851 0.535852
v 0.521011 0.780009 0.210500 0.215686 0.313725 0.125490
vn -0.713931 -0.531681 0.455651
v 0.627978 0.779438 0.173105 0.254902 0.372549 0.172549
vn 0.068046 -0.940206 0.333740
v 0.541617 0.779984 0.217426 0.196078 0.301961 0.121569
vn 0.122482 -0.959551 0.253495
v 0.688939 0.778626 0.152785 0.384314 0.450980 0.294118
vn 0.167545 -0.976029 0.138909
v 0.624591 0.777823 0.200199 0.278431 0.396078 0.192157
vn 0.339892 -0.654867 -0.674998
v 0.689913 0.779317 0.081663 0.172549 0.262745 0.113725
vn 0.020777 -0.927307 0.373725
v 0.633058 0.778407 0.200199 0.247059 0.380392 0.160784
vn 0.051736 -0.628643 -0.775972
v 0.699580 0.778605 0.087703 0.172549 0.254902 0.109804
vn -0.173339 -0.750210 0.638074
v 0.599191 0.779197 0.208435 0.207843 0.317647 0.129412
vn -0.000659 -0.867410 0.497594
v 0.497045 0.779226 0.209151 0.211765 0.294118 0.117647
vn 0.009113 -0.942812 0.333201
v 0.537293 0.772103 0.196600 0.200000 0.298039 0.121569
vn 0.212771 -0.879012 -0.426693
v 0.671159 0.778372 0.073592 0.164706 0.243137 0.101961
vn -0.109980 -0.993004 -0.042991
v 0.627978 0.777851 0.196812 0.262745 0.388235 0.180392
vn -0.094781 -0.921813 0.375868
v 0.531084 0.776772 0.208101 0.200000 0.301961 0.121569
vn 0.199807 -0.594598 0.778801
v 0.615961 0.775595 0.165902 0.239216 0.352941 0.156863
vn -0.340544 -0.848730 -0.404582
v 0.611971 0.779608 0.057937 0.168627 0.247059 0.105882
vn -0.167535 -0.912699 -0.372709
v 0.450370 0.777964 0.129078 0.172549 0.254902 0.098039
vn -0.186622 -0.889835 -0.416372
v 0.458642 0.778810 0.123931 0.176471 0.258824 0.101961
vn -0.310183 -0.759194 -0.572199
v 0.517144 0.779716 0.091735 0.184314 0.270588 0.109804
vn -0.218518 -0.911277 -0.349033
v 0.445095 0.778725 0.130034 0.172549 0.254902 0.098039
vn -0.351945 -0.869260 -0.347164
v 0.607658 0.779424 0.061954 0.168627 0.247059 0.105882
vn -0.124468 -0.963448 -0.237225
v 0.621205 0.779361 0.052695 0.168627 0.243137 0.105882
vn -0.220733 -0.942491 -0.250972
v 0.470928 0.779682 0.105371 0.188235 0.274510 0.113725
vn -0.245448 -0.834391 -0.493505
v 0.458951 0.781255 0.118917 0.180392 0.262745 0.105882
vn -0.028847 -0.949734 -0.311726
v 0.625034 0.779202 0.052479 0.168627 0.243137 0.105882
vn -0.441480 -0.842265 -0.309330
v 0.465415 0.779682 0.115913 0.184314 0.266667 0.109804
vn 0.116889 -0.945097 -0.305169
v 0.634635 0.779568 0.052856 0.164706 0.239216 0.105882
vn -0.471097 -0.866666 -0.164189
v 0.467037 0.779710 0.112144 0.188235 0.270588 0.113725
vn 0.004031 -0.968097 -0.250543
v 0.628576 0.778752 0.053642 0.164706 0.243137 0.105882
vn -0.325598 -0.800369 -0.503385
v 0.594111 0.778945 0.070942 0.168627 0.250980 0.105882
vn -0.174913 -0.805349 -0.566409
v 0.575910 0.778647 0.077101 0.172549 0.258824 0.109804
vn 0.198856 -0.905844 -0.374035
v 0.641508 0.779518 0.056229 0.164706 0.239216 0.101961
vn -0.413672 -0.873693 -0.255999
v 0.431548 0.782523 0.132778 0.172549 0.254902 0.098039
vn -0.405297 -0.634913 -0.657739
v 0.602573 0.779682 0.065348 0.168627 0.247059 0.105882
vn 0.158083 -0.923284 -0.350081
v 0.644826 0.779405 0.057938 0.164706 0.239216 0.101961
vn -0.262521 -0.914745 -0.307124
v 0.438327 0.781862 0.126516 0.172549 0.254902 0.098039
vn -0.027239 -0.940438 -0.338873
v 0.628123 0.779656 0.051183 0.164706 0.243137 0.105882
vn -0.155536 -0.920048 -0.359612
v 0.480457 0.777986 0.105371 0.184314 0.266667 0.109804
vn 0.218065 -0.882300 -0.417126
v 0.660026 0.780130 0.064730 0.160784 0.239216 0.101961
vn -0.084596 -0.897109 -0.433635
v 0.473464 0.781799 0.098727 0.192157 0.274510 0.117647
vn -0.050616 -0.821932 -0.567333
v 0.487110 0.780845 0.098597 0.184314 0.270588 0.113725
vn -0.121160 -0.809651 -0.574270
v 0.498794 0.779602 0.098597 0.184314 0.270588 0.109804
vn -0.178048 -0.793412 -0.582062
v 0.499283 0.779627 0.098428 0.184314 0.270588 0.109804
vn -0.112159 -0.900499 -0.420146
v 0.494762 0.776141 0.105378 0.184314 0.266667 0.109804
vn -0.064971 -0.861060 0.504336
v 0.519603 0.773301 0.197733 0.200000 0.290196 0.117647
vn -0.061371 -0.906478 0.417770
v 0.524664 0.773254 0.198399 0.200000 0.294118 0.117647
vn -0.373731 -0.833543 -0.406856
v 0.526376 0.775849 0.091823 0.184314 0.270588 0.113725
vn 0.003034 -0.888622 0.458630
v 0.512829 0.774613 0.200199 0.203922 0.290196 0.113725
vn 0.519631 0.751332 0.406797
v 0.493397 0.773314 0.112144 0.180392 0.262745 0.105882
vn -0.294227 -0.928598 -0.226133
v 0.472189 0.777809 0.112144 0.184314 0.266667 0.109804
vn -0.317713 -0.913856 -0.252835
v 0.472189 0.776212 0.118917 0.180392 0.262745 0.105882
vn -0.252013 -0.907947 -0.334846
v 0.465415 0.776348 0.125691 0.176471 0.258824 0.101961
vn -0.195367 -0.861425 -0.468806
v 0.519567 0.773390 0.101438 0.184314 0.270588 0.109804
vn -0.179095 -0.829181 -0.529512
v 0.567452 0.775696 0.085050 0.180392 0.262745 0.109804
vn -0.236924 -0.922735 -0.304018
v 0.478962 0.775786 0.112144 0.180392 0.262745 0.105882
vn 0.135412 -0.935905 -0.325186
v 0.650840 0.775438 0.071498 0.168627 0.247059 0.105882
vn 0.046726 -0.971139 -0.233893
v 0.654067 0.773695 0.078277 0.168627 0.250980 0.105882
vn -0.598090 -0.739785 -0.308232
v 0.710683 0.780177 0.159558 0.831373 0.980392 0.713725
vn 0.735030 -0.099095 0.670755
v 0.712212 0.780885 0.115712 0.160784 0.215686 0.090196
vn 0.215247 -0.133691 0.967365
v 0.457970 0.780593 0.208637 0.117647 0.196078 0.050980
vn 0.808442 -0.310353 0.500103
v 0.709844 0.778794 0.116968 0.176471 0.274510 0.117647
vn 0.860025 -0.420049 0.289681
v 0.706086 0.778352 0.130030 0.188235 0.290196 0.129412
vn 0.384715 -0.897676 0.214878
v 0.700513 0.779949 0.164949 0.290196 0.396078 0.160784
vn 0.680137 -0.724174 0.113952
v 0.705014 0.780363 0.135077 0.152941 0.227451 0.098039
vn 0.908443 -0.348496 0.230827
v 0.715328 0.779488 0.086179 0.180392 0.227451 0.125490
vn -0.858435 -0.049394 0.510538
v 0.414420 0.780755 0.203117 0.164706 0.200000 0.082353
vn 0.480506 -0.095635 0.871762
v 0.712965 0.780951 0.161302 0.815686 0.960784 0.682353
vn 0.927287 -0.185644 0.325077
v 0.715376 0.782228 0.107093 0.156863 0.215686 0.090196
vn 0.930827 0.253130 -0.263603
v 0.713289 0.781621 0.160223 0.862745 0.992157 0.733333
vn 0.773644 -0.471690 0.423064
v 0.712463 0.778412 0.113882 0.184314 0.227451 0.105882
vn 0.754019 -0.539688 -0.374424
v 0.607502 0.777810 0.181359 0.356863 0.454902 0.278431
vn 0.348861 0.537452 0.767751
v 0.425082 0.780984 0.208285 0.113725 0.172549 0.047059
vn 0.710371 -0.655050 0.257454
v 0.702822 0.781544 0.164846 0.290196 0.403922 0.156863
vn 0.941856 -0.256720 0.216801
v 0.707026 0.778494 0.124880 0.180392 0.282353 0.125490
vn 0.473411 -0.880806 -0.007911
v 0.707566 0.780668 0.144678 0.184314 0.239216 0.101961
vn 0.551356 -0.834068 0.018359
v 0.709404 0.780300 0.147713 0.133333 0.176471 0.062745
vn 0.530879 -0.843477 0.081943
v 0.702486 0.779428 0.136698 0.215686 0.266667 0.129412
vn 0.868677 -0.486137 -0.095247
v 0.706698 0.782720 0.128907 0.156863 0.231373 0.098039
vn -0.263400 0.236578 0.935228
v 0.419348 0.779287 0.207639 0.125490 0.180392 0.058824
vn 0.952100 0.128181 -0.277623
v 0.717325 0.781375 0.079123 0.176471 0.223529 0.101961
vn 0.718505 -0.624848 -0.305477
v 0.706746 0.780795 0.138182 0.156863 0.239216 0.098039
vn 0.622773 -0.550153 -0.556315
v 0.615084 0.782823 0.186536 0.270588 0.345098 0.184314
vn 0.603532 -0.556860 0.570663
v 0.441456 0.782853 0.204582 0.117647 0.180392 0.043137
vn 0.972465 -0.116316 -0.201947
v 0.719074 0.780952 0.090554 0.172549 0.258824 0.101961
vn 0.233623 -0.905599 0.353993
v 0.708540 0.782053 0.151413 0.164706 0.239216 0.101961
vn -0.227448 -0.287114 0.930501
v 0.460350 0.781976 0.209191 0.121569 0.184314 0.050980
vn 0.146526 0.329033 0.932881
v 0.453612 0.782256 0.209095 0.121569 0.180392 0.050980
vn 0.981091 -0.145269 0.127896
v 0.706214 0.782222 0.125268 0.156863 0.231373 0.098039
vn -0.386395 -0.601900 0.698868
v 0.536537 0.781231 0.234217 0.219608 0.309804 0.137255
vn -0.730544 0.087212 0.677274
v 0.436126 0.782222 0.202243 0.160784 0.211765 0.094118
vn -0.610465 0.247674 0.752323
v 0.439083 0.780575 0.204550 0.129412 0.188235 0.058824
vn 0.843542 -0.523597 0.119511
v 0.609408 0.782986 0.176887 0.258824 0.333333 0.176471
vn 0.133844 -0.786727 -0.602617
v 0.620358 0.781310 0.192283 0.345098 0.431373 0.266667
vn 0.459800 -0.424081 -0.780217
v 0.695713 0.779682 0.085693 0.172549 0.262745 0.113725
vn 0.478144 -0.566424 0.671224
v 0.644666 0.781648 0.196812 0.333333 0.552941 0.164706
vn -0.904220 -0.304709 0.299232
v 0.424550 0.781623 0.160911 0.215686 0.298039 0.113725
vn -0.194484 -0.723841 -0.661989
v 0.621807 0.783734 0.188088 0.305882 0.396078 0.227451
vn -0.377580 -0.810218 0.448308
v 0.523840 0.781428 0.214619 0.239216 0.349020 0.145098
vn -0.504674 0.017592 -0.863131
v 0.413125 0.781375 0.196980 0.160784 0.207843 0.082353
vn 0.382815 -0.880184 0.280586
v 0.538234 0.781197 0.233232 0.227451 0.321569 0.145098
vn -0.578438 -0.563879 0.589448
v 0.479233 0.782195 0.206229 0.156863 0.219608 0.070588
vn -0.905177 -0.306513 0.294455
v 0.653323 0.781258 0.200064 0.435294 0.592157 0.274510
vn 0.465652 -0.801970 0.374181
v 0.641348 0.779777 0.199585 0.258824 0.411765 0.160784
vn 0.147343 -0.512084 0.846204
v 0.469875 0.781798 0.203894 0.141176 0.203922 0.078431
vn -0.034260 -0.574368 0.817880
v 0.575484 0.785399 0.200548 0.164706 0.243137 0.113725
vn 0.991612 0.128825 -0.010470
v 0.425725 0.780952 0.206126 0.117647 0.172549 0.047059
vn 0.916310 -0.313695 -0.248939
v 0.657825 0.781544 0.194272 0.690196 0.831373 0.486275
vn -0.710104 -0.395008 0.582856
v 0.431747 0.779682 0.173105 0.172549 0.247059 0.094118
vn 0.419358 -0.808954 0.411986
v 0.696767 0.781595 0.174826 0.211765 0.290196 0.125490
vn 0.578860 -0.796546 0.174457
v 0.555373 0.782334 0.210994 0.192157 0.286275 0.121569
vn -0.778464 -0.626385 -0.040441
v 0.424775 0.779434 0.156172 0.184314 0.262745 0.098039
vn -0.769357 -0.617941 -0.161983
v 0.424209 0.781319 0.151867 0.180392 0.254902 0.094118
vn 0.171041 -0.872505 0.457690
v 0.638138 0.779456 0.201540 0.254902 0.407843 0.156863
vn 0.451958 -0.307410 -0.837397
v 0.686117 0.782457 0.078681 0.172549 0.262745 0.113725
vn -0.182884 -0.891826 0.413763
v 0.528281 0.779295 0.213161 0.211765 0.317647 0.129412
vn 0.346785 -0.868486 0.354221
v 0.699946 0.780312 0.168025 0.258824 0.321569 0.152941
vn -0.097969 -0.934363 0.342591
v 0.536537 0.780511 0.218826 0.211765 0.313725 0.129412
vn -0.666740 -0.745020 0.020075
v 0.710100 0.782219 0.159558 0.333333 0.533333 0.203922
vn -0.724603 -0.677284 0.127425
v 0.535439 0.781375 0.232373 0.243137 0.337255 0.152941
vn -0.915037 0.058622 0.399088
v 0.434746 0.781375 0.200619 0.160784 0.207843 0.090196
vn 0.735065 -0.572275 -0.363568
v 0.707875 0.782211 0.140443 0.168627 0.254902 0.113725
vn 0.992916 0.112057 0.039502
v 0.718930 0.782222 0.095263 0.168627 0.250980 0.109804
vn 0.815470 -0.445184 0.369891
v 0.703519 0.782646 0.164744 0.258824 0.345098 0.145098
vn 0.744215 -0.667841 0.011501
v 0.710504 0.782332 0.146435 0.149020 0.215686 0.086275
vn 0.085654 -0.638597 0.764759
v 0.465098 0.781174 0.203246 0.160784 0.231373 0.101961
vn 0.765050 0.591490 -0.254633
v 0.718573 0.786557 0.098428 0.149020 0.196078 0.078431
vn 0.368146 -0.751558 0.547385
v 0.468802 0.783068 0.205486 0.133333 0.200000 0.066667
vn 0.641374 -0.591083 0.489142
v 0.705898 0.783508 0.161119 0.258824 0.356863 0.141176
vn 0.341380 -0.824545 0.451204
v 0.461393 0.780943 0.207849 0.125490 0.184314 0.050980
vn 0.567070 -0.816081 0.111547
v 0.706934 0.782072 0.155274 0.211765 0.313725 0.141176
vn 0.789911 0.030476 0.612463
v 0.711672 0.783703 0.115798 0.141176 0.188235 0.066667
vn 0.445835 0.108817 -0.888476
v 0.711691 0.782010 0.159363 0.721569 0.882353 0.596078
vn -0.848893 0.047913 -0.526389
v 0.413108 0.785536 0.198887 0.137255 0.192157 0.058824
vn 0.705932 0.365943 -0.606420
v 0.716169 0.782424 0.077860 0.176471 0.227451 0.113725
vn -0.971908 -0.132053 0.194825
v 0.411886 0.782328 0.200562 0.160784 0.207843 0.078431
vn -0.343640 0.181535 0.921388
v 0.417494 0.782699 0.206743 0.109804 0.176471 0.047059
vn 0.546031 -0.828427 -0.124736
v 0.709885 0.784696 0.156920 0.141176 0.207843 0.082353
vn 0.891373 -0.215807 -0.398599
v 0.717145 0.783544 0.087259 0.164706 0.215686 0.113725
vn 0.846722 0.478865 -0.231840
v 0.715545 0.783854 0.080767 0.184314 0.227451 0.113725
vn 0.480016 0.363939 0.798206
v 0.424561 0.783270 0.206196 0.117647 0.172549 0.043137
vn 0.298278 -0.109551 -0.948171
v 0.715248 0.781649 0.077234 0.180392 0.227451 0.113725
vn 0.321312 -0.619382 0.716327
v 0.561937 0.784196 0.201892 0.176471 0.250980 0.137255
vn 0.462232 -0.239638 -0.853766
v 0.421417 0.783141 0.196839 0.129412 0.184314 0.058824
vn -0.448029 -0.621843 0.642325
v 0.520761 0.783511 0.214706 0.262745 0.376471 0.160784
vn 0.154849 -0.702008 0.695131
v 0.646605 0.783068 0.196943 0.325490 0.556863 0.156863
vn -0.531146 -0.193618 -0.824861
v 0.701640 0.783342 0.085527 0.172549 0.250980 0.109804
vn -0.946297 0.271240 0.175929
v 0.414968 0.784762 0.197002 0.137255 0.192157 0.062745
vn 0.475706 -0.366829 0.799462
v 0.540277 0.784338 0.233912 0.211765 0.298039 0.133333
vn 0.421632 -0.661839 0.619835
v 0.697467 0.783028 0.176492 0.168627 0.239216 0.082353
vn -0.946541 -0.316992 0.059805
v 0.422138 0.785397 0.152658 0.192157 0.270588 0.101961
vn 0.770733 -0.385154 0.507570
v 0.611044 0.783068 0.172980 0.282353 0.364706 0.200000
vn 0.517382 -0.834209 0.190815
v 0.540529 0.782652 0.230560 0.223529 0.309804 0.137255
vn -0.547465 -0.730421 -0.408371
v 0.625815 0.782253 0.187521 0.290196 0.396078 0.207843
vn 0.560539 -0.767262 0.311617
v 0.553770 0.779966 0.207002 0.184314 0.278431 0.121569
vn 0.868901 -0.072011 -0.489719
v 0.423861 0.781375 0.200199 0.129412 0.180392 0.058824
vn -0.874298 -0.199356 0.442561
v 0.426656 0.782208 0.166968 0.215686 0.298039 0.121569
vn -0.094720 -0.816966 0.568855
v 0.489546 0.782778 0.214593 0.219608 0.313725 0.141176
vn -0.013196 -0.426198 0.904533
v 0.473882 0.784762 0.203806 0.125490 0.188235 0.058824
vn 0.771480 -0.566003 0.290619
v 0.699084 0.783095 0.174798 0.196078 0.290196 0.109804
vn -0.486361 -0.641281 0.593473
v 0.651685 0.783068 0.197584 0.309804 0.486275 0.145098
vn -0.415838 -0.690227 0.592170
v 0.533078 0.784146 0.224395 0.258824 0.364706 0.160784
vn -0.718110 -0.672496 0.179071
v 0.652315 0.783217 0.199352 0.400000 0.576471 0.227451
vn -0.658356 -0.496424 -0.565801
v 0.706302 0.783003 0.080393 0.172549 0.227451 0.105882
vn 0.677112 -0.591694 0.437512
v 0.685418 0.783235 0.183265 0.274510 0.364706 0.184314
vn 0.608914 -0.671329 0.422541
v 0.558104 0.783067 0.204215 0.172549 0.250980 0.129412
vn -0.438879 -0.395030 0.807054
v 0.440849 0.783068 0.178185 0.196078 0.262745 0.133333
vn -0.346771 -0.858464 0.377874
v 0.535541 0.782710 0.223993 0.243137 0.345098 0.149020
vn 0.474706 -0.606883 0.637454
v 0.689294 0.783558 0.179225 0.349020 0.419608 0.215686
vn 0.636383 -0.759919 0.132436
v 0.659347 0.783558 0.193425 0.607843 0.737255 0.415686
vn -0.343662 -0.894404 0.286247
v 0.480656 0.784070 0.213746 0.168627 0.243137 0.078431
vn -0.658878 0.285957 -0.695779
v 0.436348 0.783955 0.196528 0.149020 0.207843 0.082353
vn 0.377629 -0.899982 0.217781
v 0.643407 0.781856 0.203412 0.294118 0.486275 0.164706
vn 0.353430 -0.856145 0.376965
v 0.550468 0.777975 0.207110 0.192157 0.290196 0.117647
vn -0.816376 -0.383731 0.431602
v 0.441788 0.783394 0.179678 0.196078 0.258824 0.141176
vn 0.130864 -0.689959 0.711921
v 0.640678 0.783068 0.206550 0.309804 0.517647 0.160784
vn 0.846605 -0.377885 -0.374783
v 0.659923 0.783174 0.195938 0.549020 0.647059 0.368627
vn -0.773207 0.476395 -0.418569
v 0.443401 0.783605 0.193426 0.200000 0.274510 0.113725
vn 0.218827 -0.787613 0.576004
v 0.643693 0.782808 0.205533 0.309804 0.521569 0.168627
vn 0.721888 -0.682525 0.114182
v 0.661752 0.783068 0.203586 0.419608 0.541176 0.290196
vn -0.445837 -0.554540 0.702648
v 0.583583 0.780686 0.201314 0.184314 0.274510 0.117647
vn 0.428036 -0.760097 0.488914
v 0.679404 0.783068 0.192266 0.137255 0.219608 0.101961
vn 0.250652 -0.917401 0.309110
v 0.465045 0.782322 0.204918 0.160784 0.235294 0.098039
vn -0.358811 -0.802029 0.477497
v 0.525442 0.782679 0.218905 0.266667 0.380392 0.168627
vn 0.058369 -0.815914 0.575220
v 0.498436 0.782650 0.214592 0.211765 0.305882 0.141176
vn 0.106823 -0.994233 -0.009500
v 0.539492 0.782241 0.227343 0.231373 0.321569 0.141176
vn -0.286177 -0.954656 0.082068
v 0.537676 0.782497 0.226023 0.235294 0.333333 0.145098
vn 0.288001 -0.832190 -0.473830
v 0.664209 0.784079 0.059610 0.160784 0.239216 0.101961
vn 0.290224 -0.883245 0.368305
v 0.661845 0.782459 0.188162 0.349020 0.470588 0.243137
vn -0.239393 -0.428161 0.871418
v 0.621205 0.779682 0.168223 0.250980 0.364706 0.168627
vn -0.436887 -0.854891 0.279804
v 0.652110 0.783286 0.203586 0.313725 0.470588 0.196078
vn -0.326472 -0.650013 0.686221
v 0.655072 0.783068 0.205867 0.301961 0.447059 0.196078
vn -0.602391 -0.169558 -0.779984
v 0.530336 0.783068 0.078760 0.196078 0.278431 0.125490
vn 0.410556 -0.112866 -0.904823
v 0.543310 0.783068 0.076454 0.239216 0.317647 0.168627
vn -0.684119 -0.697765 -0.212378
v 0.424774 0.782902 0.146011 0.172549 0.254902 0.094118
vn 0.322830 -0.884480 0.336863
v 0.545622 0.784088 0.227633 0.207843 0.294118 0.121569
vn 0.510489 -0.397709 -0.762384
v 0.546697 0.781285 0.079078 0.243137 0.321569 0.172549
vn 0.486656 -0.754996 0.439484
v 0.684254 0.783846 0.187473 0.184314 0.270588 0.125490
vn -0.380907 -0.694354 0.610559
v 0.590724 0.780023 0.205717 0.196078 0.298039 0.121569
vn -0.563306 0.236574 -0.791656
v 0.533150 0.783068 0.076596 0.211765 0.290196 0.141176
vn 0.026456 -0.722604 0.690756
v 0.658459 0.783095 0.206933 0.290196 0.427451 0.196078
vn -0.853097 -0.499454 0.150902
v 0.629083 0.780662 0.177870 0.262745 0.384314 0.180392
vn -0.127943 -0.919732 0.371110
v 0.665232 0.781727 0.186652 0.290196 0.403922 0.200000
vn -0.522689 -0.492174 -0.696105
v 0.526376 0.783068 0.082006 0.184314 0.270588 0.113725
vn 0.419919 -0.753264 -0.506222
v 0.675901 0.782959 0.067952 0.164706 0.250980 0.105882
vn -0.165377 -0.706687 0.687927
v 0.599191 0.783068 0.212759 0.200000 0.313725 0.125490
vn -0.200255 -0.885055 0.420208
v 0.671159 0.779743 0.185327 0.235294 0.345098 0.164706
vn -0.044356 -0.696662 0.716027
v 0.606498 0.783068 0.213815 0.203922 0.321569 0.125490
vn -0.054774 -0.725358 0.686190
v 0.514946 0.782898 0.212160 0.227451 0.329412 0.133333
vn -0.888237 -0.397904 -0.229580
v 0.627777 0.782817 0.181910 0.266667 0.376471 0.184314
vn -0.150184 -0.930482 0.334138
v 0.672006 0.783081 0.193425 0.231373 0.341176 0.164706
vn -0.168691 0.370412 -0.913421
v 0.536537 0.782642 0.075063 0.239216 0.317647 0.172549
vn 0.139192 -0.649536 -0.747481
v 0.550083 0.783068 0.079114 0.203922 0.286275 0.137255
vn 0.379807 -0.386476 0.840466
v 0.614431 0.779682 0.168573 0.262745 0.372549 0.176471
vn 0.073102 -0.720607 0.689479
v 0.610318 0.783068 0.213746 0.203922 0.321569 0.125490
vn 0.270013 -0.847689 -0.456636
v 0.673821 0.780254 0.071299 0.164706 0.247059 0.101961
vn -0.996723 0.080560 -0.007324
v 0.412225 0.785132 0.201343 0.133333 0.184314 0.050980
vn 0.664505 -0.732527 -0.147775
v 0.707891 0.784762 0.135851 0.145098 0.211765 0.090196
vn 0.820371 -0.486674 0.300232
v 0.708064 0.784039 0.123170 0.156863 0.223529 0.098039
vn -0.217540 0.346352 0.912533
v 0.451112 0.786097 0.207300 0.109804 0.172549 0.043137
vn -0.983317 -0.084960 0.160838
v 0.443429 0.782155 0.184789 0.200000 0.278431 0.129412
vn 0.997074 -0.002655 -0.076396
v 0.715986 0.783188 0.083297 0.172549 0.223529 0.109804
vn -0.870220 -0.426001 0.247466
v 0.534716 0.785217 0.228243 0.254902 0.349020 0.156863
vn 0.565645 -0.816292 -0.117105
v 0.709225 0.784233 0.129389 0.121569 0.184314 0.070588
vn -0.134170 -0.060232 0.989126
v 0.537850 0.783068 0.234921 0.215686 0.305882 0.141176
vn 0.796322 -0.212895 0.566169
v 0.702658 0.783476 0.168876 0.196078 0.235294 0.117647
vn 0.646071 -0.737301 -0.197434
v 0.708929 0.781760 0.142648 0.239216 0.329412 0.133333
vn 0.364616 -0.684607 -0.631165
v 0.617526 0.782648 0.188790 0.290196 0.380392 0.215686
vn 0.758708 -0.605305 -0.240768
v 0.609950 0.783604 0.178820 0.247059 0.325490 0.168627
vn 0.123176 -0.518915 0.845905
v 0.569874 0.783551 0.200189 0.176471 0.235294 0.125490
vn -0.934259 0.152131 0.322515
v 0.534800 0.784631 0.230963 0.317647 0.407843 0.215686
vn 0.126554 -0.896219 0.425178
v 0.708336 0.784029 0.159630 0.203922 0.305882 0.117647
vn 0.663843 -0.534090 0.523508
v 0.699567 0.782303 0.170680 0.211765 0.286275 0.129412
vn 0.615829 -0.417819 0.667969
v 0.711010 0.783198 0.160324 0.294118 0.498039 0.164706
vn -0.465098 0.209858 0.860025
v 0.414191 0.785820 0.204913 0.125490 0.176471 0.050980
vn -0.504063 -0.137082 0.852718
v 0.461959 0.783915 0.210412 0.121569 0.180392 0.054902
vn 0.610767 0.042887 -0.790648
v 0.695937 0.784815 0.085686 0.176471 0.266667 0.117647
vn 0.711895 -0.673231 0.199914
v 0.710959 0.784755 0.149432 0.215686 0.321569 0.137255
vn 0.521986 -0.164501 -0.836941
v 0.691517 0.783068 0.079970 0.176471 0.278431 0.121569
vn 0.698393 -0.596928 0.394872
v 0.702339 0.781523 0.168025 0.274510 0.317647 0.160784
vn 0.360685 -0.852995 0.377234
v 0.465415 0.782616 0.208902 0.125490 0.184314 0.047059
vn 0.657211 -0.749905 0.075609
v 0.708737 0.785417 0.134415 0.121569 0.192157 0.070588
vn -0.294798 -0.051309 0.954181
v 0.440908 0.787135 0.204664 0.149020 0.203922 0.094118
vn 0.405948 -0.834286 -0.373058
v 0.710489 0.785000 0.138101 0.149020 0.207843 0.078431
vn 0.986488 0.026475 0.161683
v 0.425049 0.784961 0.204644 0.113725 0.172549 0.039216
vn 0.696510 -0.545256 -0.466443
v 0.612009 0.784020 0.181752 0.243137 0.313725 0.168627
vn 0.965189 0.258386 -0.040591
v 0.717930 0.785115 0.089057 0.160784 0.219608 0.101961
vn 0.865789 -0.341009 0.366227
v 0.710187 0.784853 0.118111 0.145098 0.200000 0.090196
vn -0.348860 -0.663694 0.661670
v 0.526939 0.783861 0.221271 0.270588 0.380392 0.172549
vn -0.819805 -0.275585 0.501968
v 0.521296 0.785296 0.216792 0.262745 0.376471 0.164706
vn -0.612531 -0.473658 0.632814
v 0.523902 0.784473 0.219965 0.262745 0.372549 0.168627
vn 0.636796 -0.753667 -0.162717
v 0.661845 0.784947 0.199155 0.537255 0.647059 0.360784
vn 0.931698 -0.342830 0.120031
v 0.699746 0.786667 0.172259 0.223529 0.321569 0.137255
vn -0.733675 -0.150872 0.662540
v 0.432230 0.783460 0.175125 0.184314 0.258824 0.101961
vn 0.928189 -0.326282 -0.178900
v 0.424992 0.786230 0.201046 0.121569 0.172549 0.047059
vn -0.437726 -0.584479 0.683214
v 0.437291 0.784962 0.179194 0.196078 0.270588 0.113725
vn 0.289595 -0.860557 0.419018
v 0.558768 0.785930 0.216289 0.243137 0.356863 0.137255
vn 0.112811 -0.754157 0.646932
v 0.507449 0.783068 0.213127 0.219608 0.313725 0.129412
vn -0.127749 -0.230949 -0.964543
v 0.418001 0.786455 0.195887 0.129412 0.184314 0.054902
vn 0.250068 -0.926320 -0.281774
v 0.644251 0.784902 0.024089 0.372549 0.494118 0.278431
vn -0.085347 -0.681298 0.727014
v 0.491515 0.784651 0.217132 0.215686 0.309804 0.152941
vn 0.203089 -0.686231 0.698457
v 0.621328 0.786887 0.215439 0.152941 0.254902 0.082353
vn -0.957261 -0.240042 0.161343
v 0.422692 0.783915 0.156552 0.215686 0.298039 0.117647
vn 0.639266 -0.531275 -0.555955
v 0.682166 0.782915 0.074890 0.172549 0.262745 0.113725
vn 0.368851 -0.835360 0.407582
v 0.676239 0.784882 0.197218 0.164706 0.258824 0.117647
vn -0.936231 -0.321312 0.142231
v 0.478928 0.784693 0.208964 0.137255 0.200000 0.054902
vn -0.757488 -0.650388 0.056628
v 0.479105 0.784762 0.211206 0.137255 0.196078 0.050980
vn 0.110506 -0.067970 -0.991549
v 0.698253 0.782222 0.086333 0.176471 0.266667 0.117647
vn -0.121309 -0.551132 0.825553
v 0.517063 0.785989 0.214801 0.270588 0.388235 0.160784
vn 0.174239 -0.657861 0.732708
v 0.631742 0.783433 0.207590 0.278431 0.470588 0.145098
vn 0.459828 -0.342310 -0.819379
v 0.686691 0.789518 0.078396 0.176471 0.262745 0.113725
vn -0.672299 -0.440304 -0.595103
v 0.625266 0.784772 0.185005 0.270588 0.368627 0.192157
vn -0.270749 -0.927791 -0.256708
v 0.639832 0.784860 0.024089 0.282353 0.376471 0.203922
vn 0.346338 -0.903895 0.251045
v 0.646182 0.783654 0.198412 0.333333 0.545098 0.168627
vn 0.157020 -0.986736 0.041182
v 0.647452 0.784223 0.200199 0.317647 0.501961 0.176471
vn 0.447677 -0.815123 0.367642
v 0.551253 0.783586 0.219459 0.231373 0.349020 0.129412
vn 0.101260 -0.908403 0.405648
v 0.675392 0.783222 0.194486 0.184314 0.286275 0.133333
vn 0.123645 -0.968841 0.214614
v 0.648495 0.783606 0.203908 0.305882 0.490196 0.176471
vn -0.226511 -0.972809 0.048328
v 0.650839 0.784079 0.200538 0.337255 0.509804 0.196078
vn 0.009626 0.280329 0.959856
v 0.420400 0.783253 0.206775 0.109804 0.176471 0.043137
vn 0.726431 -0.298238 0.619154
v 0.700794 0.786878 0.170161 0.215686 0.298039 0.133333
vn 0.671983 -0.730417 -0.122184
v 0.707615 0.784724 0.126538 0.152941 0.223529 0.098039
vn 0.923961 -0.121351 0.362725
v 0.716713 0.786648 0.104788 0.152941 0.211765 0.078431
vn 0.175835 -0.673009 0.718429
v 0.465262 0.784034 0.211098 0.125490 0.188235 0.043137
vn 0.138490 -0.048687 0.989166
v 0.457039 0.786243 0.206828 0.129412 0.176471 0.050980
vn -0.550022 -0.322105 0.770535
v 0.527260 0.787024 0.223549 0.270588 0.380392 0.180392
vn 0.698438 -0.705336 0.121181
v 0.711342 0.787164 0.120312 0.141176 0.203922 0.090196
vn 0.271479 -0.962434 -0.004375
v 0.713162 0.786806 0.131546 0.125490 0.196078 0.062745
vn 0.598651 -0.800861 0.015441
v 0.713635 0.784863 0.144847 0.219608 0.333333 0.141176
vn -0.826860 -0.031645 0.561517
v 0.412679 0.784974 0.203778 0.121569 0.176471 0.050980
vn 0.097146 -0.538142 0.837237
v 0.640890 0.784574 0.207526 0.305882 0.509804 0.156863
vn 0.099743 -0.592827 0.799129
v 0.710953 0.785124 0.162098 0.235294 0.380392 0.152941
vn 0.901078 0.039472 0.431856
v 0.714028 0.784974 0.112346 0.145098 0.188235 0.074510
vn 0.404645 -0.742890 0.533269
v 0.561954 0.785242 0.203014 0.172549 0.250980 0.133333
vn -0.706302 -0.268389 0.655061
v 0.523295 0.787291 0.220135 0.254902 0.368627 0.160784
vn 0.579312 -0.028290 -0.814615
v 0.712269 0.785096 0.076796 0.188235 0.239216 0.117647
vn -0.440661 0.060294 0.895646
v 0.459955 0.786032 0.207118 0.129412 0.180392 0.050980
vn 0.711740 -0.664054 -0.229040
v 0.612738 0.786201 0.178185 0.235294 0.321569 0.156863
vn -0.878317 -0.380050 0.290037
v 0.442374 0.784784 0.184431 0.196078 0.274510 0.105882
vn -0.248471 -0.804277 0.539816
v 0.478740 0.785337 0.216008 0.141176 0.207843 0.058824
vn -0.209002 -0.398049 0.893239
v 0.465853 0.786251 0.212346 0.129412 0.184314 0.043137
vn 0.037345 0.458364 0.887980
v 0.422654 0.787751 0.204755 0.113725 0.168627 0.050980
vn 0.933151 -0.140876 0.330731
v 0.712854 0.787621 0.113423 0.149020 0.219608 0.090196
vn 0.780357 -0.622032 0.064174
v 0.713975 0.787472 0.157456 0.192157 0.278431 0.117647
vn 0.514158 -0.852298 0.096071
v 0.712136 0.785895 0.153277 0.219608 0.317647 0.129412
vn 0.761243 -0.470028 0.446747
v 0.704194 0.790012 0.168203 0.117647 0.156863 0.074510
vn -0.916846 -0.165467 0.363338
v 0.421787 0.788900 0.153631 0.200000 0.282353 0.109804
vn -0.932192 0.092060 0.350063
v 0.424188 0.787725 0.161675 0.215686 0.294118 0.121569
vn -0.434579 -0.437475 0.787247
v 0.476288 0.787021 0.216908 0.121569 0.180392 0.043137
vn 0.363444 -0.550652 0.751459
v 0.707982 0.786596 0.162743 0.145098 0.219608 0.098039
vn 0.407346 -0.692337 0.595599
v 0.472189 0.785918 0.205279 0.121569 0.188235 0.062745
vn 0.396790 -0.916971 -0.041505
v 0.710610 0.787182 0.134653 0.152941 0.243137 0.094118
vn -0.017674 -0.528717 0.848614
v 0.497589 0.787302 0.219776 0.207843 0.298039 0.149020
vn 0.124990 -0.201454 0.971491
v 0.444377 0.787132 0.203600 0.129412 0.184314 0.070588
vn -0.153218 -0.516051 0.842743
v 0.486812 0.786329 0.217441 0.266667 0.372549 0.176471
vn 0.544304 -0.686389 0.482290
v 0.471373 0.787672 0.210778 0.121569 0.176471 0.054902
vn -0.750229 0.241584 0.615462
v 0.535690 0.786743 0.230679 0.227451 0.317647 0.137255
vn 0.227993 -0.953507 0.197090
v 0.701639 0.787178 0.181572 0.086275 0.145098 0.047059
vn 0.699280 0.693244 0.174416
v 0.714533 0.786455 0.093094 0.156863 0.203922 0.090196
vn -0.338086 0.250931 0.907046
v 0.538570 0.785907 0.234125 0.207843 0.301961 0.137255
vn 0.655149 0.755395 -0.012582
v 0.714258 0.786834 0.097057 0.152941 0.207843 0.086275
vn -0.553082 -0.833101 -0.006548
v 0.477490 0.785671 0.214635 0.129412 0.184314 0.043137
vn -0.688729 -0.348786 0.635610
v 0.533276 0.787117 0.227252 0.247059 0.352941 0.152941
vn 0.495593 -0.705477 0.506646
v 0.681145 0.786718 0.194082 0.137255 0.227451 0.098039
vn 0.179685 -0.696914 0.694279
v 0.505120 0.785695 0.216525 0.200000 0.290196 0.129412
vn 0.517599 -0.817355 0.253027
v 0.550689 0.786040 0.227518 0.223529 0.321569 0.121569
vn 0.595119 -0.591718 -0.543786
v 0.678255 0.788112 0.063603 0.168627 0.254902 0.109804
vn -0.800726 -0.263851 -0.537792
v 0.701548 0.788572 0.085002 0.172549 0.254902 0.109804
vn 0.548409 -0.821042 0.158544
v 0.561431 0.786611 0.207831 0.172549 0.250980 0.125490
vn -0.633274 -0.171132 0.754771
v 0.434737 0.786455 0.178353 0.192157 0.270588 0.105882
vn 0.484438 -0.700711 0.523759
v 0.551882 0.788083 0.232614 0.172549 0.227451 0.101961
vn 0.298246 -0.831699 0.468324
v 0.683881 0.787178 0.192640 0.133333 0.200000 0.094118
vn 0.474402 -0.803279 0.360118
v 0.680472 0.787938 0.196812 0.141176 0.227451 0.098039
vn -0.376373 -0.465113 -0.801258
v 0.622544 0.785627 0.186242 0.270588 0.356863 0.196078
vn 0.393000 -0.823758 0.408624
v 0.697395 0.786543 0.179147 0.149020 0.207843 0.066667
vn -0.536435 -0.600672 0.592816
v 0.587337 0.783068 0.206337 0.184314 0.274510 0.113725
vn -0.201135 -0.009698 -0.979516
v 0.699099 0.788148 0.087482 0.176471 0.274510 0.113725
vn -0.680688 -0.466816 0.564577
v 0.440448 0.786235 0.182475 0.203922 0.282353 0.113725
vn 0.565951 0.788415 -0.241040
v 0.717162 0.785343 0.095873 0.164706 0.239216 0.105882
vn -0.830205 0.524675 -0.188349
v 0.437487 0.787812 0.198506 0.145098 0.207843 0.082353
vn -0.493966 -0.300911 -0.815751
v 0.415039 0.788150 0.196544 0.125490 0.184314 0.050980
vn 0.710168 -0.544065 -0.446827
v 0.681303 0.786420 0.069020 0.172549 0.266667 0.113725
vn 0.368122 -0.711721 0.598281
v 0.544627 0.785980 0.231431 0.196078 0.270588 0.113725
vn 0.336258 -0.939921 0.058983
v 0.644912 0.785009 0.026629 0.266667 0.360784 0.188235
vn 0.528331 -0.835035 0.153567
v 0.562483 0.787815 0.218006 0.247059 0.368627 0.137255
vn -0.042943 -0.844342 0.534082
v 0.672006 0.786380 0.203586 0.180392 0.278431 0.125490
vn -0.169311 -0.744097 0.646261
v 0.651685 0.785342 0.206972 0.286275 0.466667 0.164706
vn -0.072008 -0.612939 0.786842
v 0.659378 0.786455 0.210483 0.231373 0.392157 0.145098
vn 0.448831 -0.558037 0.697957
v 0.661799 0.786427 0.210163 0.207843 0.341176 0.133333
vn -0.391658 -0.913862 -0.107056
v 0.637305 0.785926 0.027070 0.223529 0.305882 0.152941
vn 0.581584 0.812616 0.037611
v 0.716689 0.786127 0.090517 0.164706 0.231373 0.101961
vn 0.337549 -0.907931 0.248438
v 0.688939 0.785284 0.183265 0.219608 0.298039 0.145098
vn 0.221232 -0.955698 0.194158
v 0.662692 0.785246 0.194695 0.443137 0.560784 0.305882
vn 0.222737 -0.965418 0.135485
v 0.645040 0.786521 0.032685 0.188235 0.266667 0.121569
vn -0.094328 -0.962654 0.253772
v 0.665232 0.785355 0.194695 0.352941 0.470588 0.247059
vn 0.259654 -0.837364 0.481041
v 0.693657 0.785142 0.179731 0.196078 0.274510 0.121569
vn 0.224755 -0.967981 0.111796
v 0.694866 0.785923 0.181572 0.152941 0.227451 0.094118
vn 0.126971 -0.973866 0.188315
v 0.692651 0.786052 0.184299 0.156863 0.231373 0.101961
vn 0.309957 -0.926967 0.211329
v 0.665672 0.786035 0.202775 0.274510 0.392157 0.192157
vn 0.281144 -0.915214 0.288689
v 0.688645 0.785718 0.186989 0.160784 0.243137 0.109804
vn 0.034742 -0.241415 -0.969800
v 0.541617 0.786455 0.075495 0.203922 0.286275 0.133333
vn -0.359502 -0.307436 0.881045
v 0.621205 0.786455 0.170322 0.262745 0.372549 0.176471
vn -0.153277 -0.595140 0.788869
v 0.595804 0.786455 0.215181 0.196078 0.317647 0.121569
vn 0.570788 -0.607621 0.552265
v 0.665877 0.787265 0.205188 0.215686 0.325490 0.145098
vn -0.191784 -0.980838 0.034277
v 0.624490 0.786599 0.025514 0.184314 0.262745 0.125490
vn 0.269033 -0.294965 -0.916852
v 0.421388 0.788149 0.195399 0.129412 0.184314 0.054902
vn 0.364849 -0.770712 -0.522387
v 0.670556 0.787650 0.057970 0.160784 0.243137 0.101961
vn -0.140633 -0.504749 0.851734
v 0.602578 0.786455 0.216222 0.207843 0.333333 0.129412
vn -0.373856 -0.647960 0.663611
v 0.590724 0.786743 0.213746 0.188235 0.290196 0.117647
vn 0.122457 -0.624716 -0.771190
v 0.546697 0.786455 0.075926 0.196078 0.278431 0.125490
vn -0.701798 -0.314826 0.639034
v 0.624591 0.784780 0.172361 0.262745 0.376471 0.176471
vn 0.591106 -0.595000 0.544581
v 0.614377 0.789902 0.172082 0.223529 0.298039 0.137255
vn -0.893309 -0.419610 0.161015
v 0.420684 0.788311 0.149398 0.180392 0.262745 0.098039
vn 0.071694 -0.452284 0.888988
v 0.617818 0.789842 0.171047 0.239216 0.325490 0.152941
vn 0.060190 -0.696682 0.714851
v 0.613129 0.788877 0.218846 0.200000 0.313725 0.117647
vn -0.292537 -0.144188 -0.945321
v 0.534843 0.786455 0.076251 0.196078 0.278431 0.125490
vn -0.903829 -0.265361 0.335673
v 0.626413 0.786455 0.176492 0.254902 0.364706 0.172549
vn 0.025632 -0.945893 -0.323465
v 0.628272 0.786940 0.029091 0.172549 0.250980 0.109804
vn -0.061248 -0.979467 -0.192078
v 0.634740 0.786112 0.032546 0.172549 0.250980 0.113725
vn -0.013927 -0.932820 -0.360073
v 0.631365 0.787285 0.029324 0.180392 0.258824 0.117647
vn -0.159547 -0.616829 -0.770757
v 0.557913 0.786606 0.075013 0.176471 0.262745 0.109804
vn -0.017821 -0.917220 -0.397982
v 0.445095 0.786455 0.111423 0.184314 0.266667 0.109804
vn -0.752029 -0.529999 -0.391860
v 0.607658 0.786455 0.052487 0.168627 0.247059 0.105882
vn -0.685106 -0.713096 -0.148744
v 0.609836 0.786455 0.046103 0.168627 0.247059 0.105882
vn 0.150775 -0.791387 -0.592431
v 0.451455 0.786510 0.112144 0.196078 0.278431 0.117647
vn -0.403684 -0.910544 -0.089157
v 0.458642 0.785596 0.098597 0.231373 0.309804 0.149020
vn -0.178784 -0.338680 -0.923760
v 0.590726 0.786355 0.067262 0.172549 0.254902 0.105882
vn -0.656911 -0.706229 0.264024
v 0.456992 0.786455 0.101984 0.247059 0.321569 0.160784
vn -0.335160 -0.253464 -0.907427
v 0.594111 0.786455 0.066440 0.172549 0.254902 0.105882
vn -0.570849 -0.206322 -0.794709
v 0.597333 0.786455 0.064730 0.172549 0.254902 0.105882
vn -0.176238 -0.457906 -0.871357
v 0.458642 0.786455 0.112789 0.219608 0.298039 0.137255
vn -0.136533 -0.864244 -0.484192
v 0.465415 0.786003 0.091824 0.196078 0.282353 0.125490
vn -0.731081 -0.270649 -0.626314
v 0.602603 0.786455 0.059708 0.172549 0.254902 0.105882
vn -0.924306 -0.328583 0.194145
v 0.459904 0.786455 0.108757 0.250980 0.321569 0.160784
vn -0.005018 -0.836945 -0.547263
v 0.472189 0.785544 0.091824 0.192157 0.274510 0.117647
vn -0.792678 -0.344448 -0.503008
v 0.459807 0.786455 0.112144 0.227451 0.305882 0.145098
vn -0.062985 -0.983778 0.167971
v 0.641525 0.784576 0.027476 0.235294 0.321569 0.160784
vn 0.012535 -0.975045 0.221653
v 0.641525 0.785694 0.030863 0.200000 0.278431 0.133333
vn -0.005446 -0.999984 -0.001692
v 0.638985 0.785923 0.032556 0.180392 0.258824 0.117647
vn 0.105107 -0.947475 -0.302067
v 0.632635 0.783727 0.040599 0.164706 0.239216 0.101961
vn 0.425373 -0.816431 0.390510
v 0.661845 0.783605 0.206972 0.274510 0.400000 0.188235
vn 0.145006 -0.972159 -0.184066
v 0.639832 0.785576 0.037636 0.160784 0.239216 0.101961
vn -0.107934 -0.960702 0.255739
v 0.668619 0.785355 0.200199 0.258824 0.372549 0.184314
vn 0.026840 -0.945008 0.325943
v 0.672006 0.784515 0.198506 0.223529 0.333333 0.160784
vn -0.400768 -0.566626 -0.719945
v 0.516757 0.786455 0.085050 0.180392 0.266667 0.109804
vn 0.048226 -0.723243 -0.688908
v 0.485736 0.786312 0.091670 0.184314 0.270588 0.113725
vn 0.339123 -0.824304 -0.453342
v 0.661845 0.787193 0.052514 0.156863 0.235294 0.098039
vn 0.304077 -0.906276 -0.293601
v 0.648299 0.786455 0.042615 0.156863 0.231373 0.098039
vn -0.026778 -0.674776 -0.737537
v 0.492509 0.786384 0.091761 0.184314 0.270588 0.113725
vn 0.030311 -0.779741 -0.625368
v 0.478962 0.786099 0.091385 0.188235 0.270588 0.113725
vn -0.123146 -0.604163 -0.787288
v 0.499282 0.786455 0.090880 0.184314 0.266667 0.109804
vn -0.306927 -0.608827 -0.731523
v 0.512829 0.786455 0.087167 0.180392 0.266667 0.109804
vn -0.290040 -0.930143 -0.225191
v 0.431548 0.785685 0.119887 0.176471 0.262745 0.101961
vn -0.236061 -0.532261 -0.813002
v 0.506056 0.786455 0.089697 0.180392 0.266667 0.109804
vn -0.107498 -0.949529 -0.294684
v 0.438740 0.786142 0.113269 0.180392 0.262745 0.105882
vn -0.595381 -0.788067 -0.156437
v 0.424164 0.785070 0.139238 0.172549 0.254902 0.094118
vn -0.431997 -0.889761 -0.147320
v 0.424717 0.787146 0.127384 0.176471 0.258824 0.098039
vn -0.218702 -0.546882 -0.808140
v 0.570672 0.786455 0.071503 0.172549 0.258824 0.105882
vn -0.807778 -0.526954 0.264223
v 0.458554 0.786324 0.105498 0.254902 0.325490 0.164706
vn -0.359182 -0.883763 -0.299918
v 0.614431 0.783765 0.044410 0.168627 0.247059 0.105882
vn -0.383677 -0.857847 -0.341892
v 0.614431 0.781714 0.051183 0.168627 0.247059 0.105882
vn -0.225393 -0.658973 -0.717602
v 0.506056 0.783647 0.091824 0.184314 0.270588 0.109804
vn 0.203292 -0.926988 -0.315223
v 0.641525 0.783878 0.044409 0.160784 0.235294 0.101961
vn -0.134550 -0.932914 -0.334017
v 0.621205 0.782219 0.044409 0.168627 0.247059 0.105882
vn -0.226786 -0.757304 -0.612420
v 0.571316 0.779344 0.078296 0.176471 0.258824 0.109804
vn -0.116629 -0.913845 -0.388953
v 0.445095 0.783249 0.118917 0.176471 0.258824 0.101961
vn 0.259409 -0.885759 -0.384888
v 0.650026 0.782901 0.052910 0.160784 0.235294 0.101961
vn -0.279767 -0.916601 -0.285611
v 0.465415 0.782657 0.098597 0.203922 0.286275 0.125490
vn -0.114708 -0.870279 -0.479015
v 0.451868 0.782448 0.118917 0.176471 0.262745 0.105882
vn -0.207120 -0.538061 -0.817063
v 0.590628 0.779823 0.071503 0.168627 0.250980 0.105882
vn -0.471958 -0.873964 -0.115942
v 0.465415 0.781497 0.105371 0.203922 0.282353 0.125490
vn 0.021024 -0.944940 -0.326568
v 0.627978 0.782085 0.044409 0.164706 0.243137 0.105882
vn -0.552495 -0.549505 -0.626733
v 0.603342 0.782937 0.061857 0.168627 0.247059 0.105882
vn -0.553702 -0.672006 -0.491753
v 0.607658 0.782124 0.057956 0.168627 0.247059 0.105882
vn -0.665171 -0.742047 0.083149
v 0.461304 0.784689 0.108278 0.227451 0.305882 0.145098
vn -0.273884 -0.893910 -0.354842
v 0.462142 0.785604 0.094599 0.211765 0.294118 0.133333
vn -0.030811 -0.813824 -0.580294
v 0.455255 0.784635 0.115129 0.188235 0.270588 0.113725
vn 0.513282 0.546489 -0.661734
v 0.713409 0.787004 0.101870 0.160784 0.254902 0.109804
vn 0.925751 0.344582 0.155721
v 0.717617 0.789842 0.086744 0.145098 0.196078 0.082353
vn 0.427607 -0.885754 -0.180531
v 0.702660 0.786549 0.177146 0.117647 0.176471 0.078431
vn 0.669489 0.100815 -0.735949
v 0.694605 0.787421 0.084281 0.176471 0.266667 0.117647
vn 0.524035 -0.847515 -0.084292
v 0.711104 0.787344 0.123390 0.117647 0.164706 0.062745
vn 0.362226 -0.706175 0.608366
v 0.555980 0.786124 0.218085 0.301961 0.450980 0.152941
vn 0.046925 -0.996752 -0.065450
v 0.717513 0.787919 0.127755 0.164706 0.262745 0.101961
vn 0.323826 -0.946112 0.003035
v 0.717408 0.787304 0.132275 0.203922 0.317647 0.156863
vn 0.175055 -0.710885 0.681175
v 0.568075 0.788015 0.203363 0.172549 0.239216 0.117647
vn 0.365249 -0.910866 -0.192135
v 0.712990 0.787316 0.129501 0.121569 0.188235 0.058824
vn -0.720626 -0.232357 0.653229
v 0.473603 0.788821 0.215207 0.121569 0.168627 0.035294
vn 0.244966 -0.616179 0.748542
v 0.468872 0.788432 0.213416 0.121569 0.172549 0.047059
vn 0.056652 -0.404053 0.912980
v 0.454568 0.786505 0.207639 0.121569 0.188235 0.043137
vn 0.103072 -0.405484 -0.908272
v 0.619906 0.789000 0.184766 0.219608 0.301961 0.145098
vn -0.753369 0.288567 0.590901
v 0.440303 0.789284 0.203893 0.145098 0.200000 0.078431
vn 0.501589 -0.089891 -0.860423
v 0.697406 0.788572 0.086954 0.176471 0.274510 0.101961
vn 0.421947 -0.689903 0.588213
v 0.701709 0.787929 0.182985 0.117647 0.203922 0.074510
vn 0.856424 0.322691 0.402999
v 0.714488 0.787725 0.091460 0.156863 0.211765 0.090196
vn 0.683038 -0.583999 -0.438639
v 0.711840 0.786630 0.075970 0.192157 0.243137 0.121569
vn -0.229969 -0.531373 0.815327
v 0.577938 0.785664 0.200975 0.164706 0.239216 0.117647
vn -0.310047 0.386686 0.868530
v 0.444666 0.786340 0.203844 0.117647 0.172549 0.058824
vn -0.525498 -0.535443 0.661175
v 0.460557 0.787725 0.207724 0.133333 0.176471 0.054902
vn 0.532145 -0.406935 0.742446
v 0.627958 0.787090 0.212194 0.200000 0.333333 0.105882
vn 0.456848 -0.381968 0.803362
v 0.704678 0.786901 0.166690 0.109804 0.160784 0.066667
vn 0.535823 -0.095180 -0.838948
v 0.690131 0.787454 0.079811 0.172549 0.266667 0.113725
vn 0.959322 0.108537 -0.260615
v 0.717998 0.788363 0.101109 0.133333 0.184314 0.062745
vn -0.587759 -0.459528 0.665863
v 0.461931 0.787648 0.210161 0.129412 0.180392 0.043137
vn 0.116536 -0.609068 0.784510
v 0.710106 0.789073 0.163561 0.121569 0.184314 0.090196
vn 0.225175 -0.566031 0.793035
v 0.501822 0.788148 0.219579 0.192157 0.270588 0.129412
vn 0.708033 -0.635601 -0.307735
v 0.614674 0.787936 0.180937 0.239216 0.325490 0.160784
vn 0.166358 -0.982615 -0.082422
v 0.714450 0.787030 0.135094 0.145098 0.200000 0.086275
vn 0.270673 -0.731909 0.625336
v 0.474057 0.787077 0.205838 0.125490 0.192157 0.066667
vn 0.981033 0.174931 -0.083509
v 0.712872 0.788043 0.099550 0.156863 0.243137 0.105882
vn 0.465361 -0.863838 -0.192934
v 0.713076 0.785608 0.140085 0.168627 0.239216 0.101961
vn 0.284431 -0.901131 0.327204
v 0.697343 0.786353 0.185360 0.129412 0.200000 0.082353
vn 0.116220 -0.740178 0.662292
v 0.499282 0.784662 0.217242 0.200000 0.286275 0.145098
vn -0.099094 0.951187 -0.292272
v 0.715017 0.787003 0.099444 0.152941 0.223529 0.090196
vn 0.594819 -0.802721 0.042761
v 0.700375 0.786246 0.176141 0.168627 0.250980 0.090196
vn 0.115789 -0.987643 0.105615
v 0.699100 0.787170 0.179455 0.113725 0.172549 0.062745
vn 0.673619 -0.718621 0.172691
v 0.715004 0.787155 0.151383 0.239216 0.352941 0.145098
vn -0.121345 -0.865304 0.486338
v 0.453350 0.787912 0.211358 0.113725 0.172549 0.039216
vn -0.049126 -0.398250 0.915961
v 0.480418 0.786660 0.217032 0.203922 0.290196 0.105882
vn 0.433255 0.421909 0.796418
v 0.424351 0.786667 0.205762 0.109804 0.172549 0.039216
vn -0.032851 -0.968684 -0.246115
v 0.719843 0.787985 0.120953 0.176471 0.243137 0.098039
vn 0.260362 -0.877362 0.403048
v 0.694054 0.787239 0.188625 0.129412 0.192157 0.082353
vn -0.785372 0.035781 0.617989
v 0.413025 0.788178 0.202738 0.125490 0.188235 0.047059
vn -0.840188 0.009713 0.542208
v 0.427856 0.784762 0.169329 0.215686 0.301961 0.121569
vn 0.600612 -0.796606 0.068440
v 0.719420 0.788376 0.130771 0.188235 0.294118 0.137255
vn -0.370481 0.469127 -0.801663
v 0.714917 0.787605 0.101891 0.156863 0.227451 0.094118
vn 0.967678 -0.238819 -0.081031
v 0.712727 0.789818 0.097962 0.152941 0.215686 0.086275
vn 0.953500 -0.283564 0.102126
v 0.715825 0.791959 0.160616 0.211765 0.301961 0.133333
vn 0.842930 -0.370580 -0.390051
v 0.712942 0.788512 0.079668 0.168627 0.215686 0.101961
vn 0.727258 -0.063134 -0.683454
v 0.715260 0.787013 0.082047 0.168627 0.223529 0.101961
vn 0.295847 -0.830406 0.472123
v 0.556712 0.789098 0.223523 0.345098 0.509804 0.164706
vn 0.700888 -0.711556 0.049443
v 0.716333 0.786886 0.144318 0.172549 0.250980 0.101961
vn -0.603320 -0.794905 0.064274
v 0.474768 0.787398 0.215016 0.121569 0.168627 0.035294
vn 0.604198 -0.610861 0.511658
v 0.699013 0.788848 0.187046 0.121569 0.196078 0.078431
vn 0.583556 -0.669074 0.460219
v 0.713897 0.788662 0.163210 0.258824 0.384314 0.164706
vn 0.439597 -0.895965 -0.063258
v 0.714487 0.788453 0.073091 0.172549 0.215686 0.113725
vn -0.441760 -0.438117 0.782880
v 0.529998 0.786840 0.225065 0.274510 0.388235 0.176471
vn 0.641272 -0.715890 0.276173
v 0.553359 0.788251 0.226023 0.305882 0.450980 0.152941
vn -0.938510 0.199815 -0.281554
v 0.443623 0.786408 0.194658 0.196078 0.274510 0.113725
vn 0.275920 -0.945929 -0.170548
v 0.713281 0.788114 0.124421 0.121569 0.180392 0.074510
vn 0.573843 -0.816640 0.061672
v 0.717464 0.787820 0.137524 0.160784 0.231373 0.109804
vn 0.448600 -0.791085 0.415864
v 0.554382 0.786999 0.220519 0.349020 0.525490 0.172549
vn 0.638713 -0.759925 -0.120664
v 0.704379 0.787914 0.179244 0.145098 0.207843 0.074510
vn 0.155232 -0.811124 0.563898
v 0.457901 0.787907 0.207529 0.121569 0.172549 0.047059
vn 0.214065 -0.973769 0.077138
v 0.720266 0.787492 0.124869 0.172549 0.239216 0.101961
vn 0.651684 -0.716321 -0.249382
v 0.704180 0.789409 0.174799 0.156863 0.235294 0.098039
vn -0.174743 -0.961917 -0.210193
v 0.717726 0.788817 0.121818 0.141176 0.215686 0.082353
vn -0.415853 0.490523 -0.765803
v 0.442394 0.785856 0.195685 0.172549 0.239216 0.101961
vn 0.024212 0.969728 0.242986
v 0.479027 0.787816 0.135419 0.415686 0.521569 0.298039
vn -0.339730 -0.534383 0.773962
v 0.475575 0.786523 0.205221 0.121569 0.184314 0.054902
vn -0.849648 -0.347330 -0.396812
v 0.703040 0.788167 0.082059 0.168627 0.243137 0.109804
vn -0.233953 0.387776 0.891569
v 0.686823 0.787510 0.192284 0.141176 0.231373 0.101961
vn 0.724856 -0.688500 0.023476
v 0.700628 0.788205 0.172258 0.200000 0.278431 0.117647
vn 0.030907 -0.684424 0.728429
v 0.648193 0.786547 0.207842 0.301961 0.505882 0.164706
vn -0.145571 -0.767158 0.624723
v 0.519603 0.790344 0.217929 0.274510 0.392157 0.160784
vn -0.363824 -0.847198 -0.387153
v 0.634474 0.787628 0.026563 0.211765 0.294118 0.145098
vn 0.036730 -0.822171 0.568055
v 0.668619 0.786455 0.202751 0.223529 0.329412 0.156863
vn -0.077796 -0.726401 -0.682854
v 0.710363 0.786895 0.074790 0.180392 0.227451 0.113725
vn 0.317738 -0.868772 0.379840
v 0.676239 0.786904 0.203548 0.160784 0.250980 0.113725
vn -0.281054 -0.376298 -0.882841
v 0.633610 0.790607 0.023801 0.247059 0.329412 0.172549
vn 0.162659 -0.200789 0.966036
v 0.545606 0.788587 0.232787 0.188235 0.254902 0.113725
vn -0.779172 -0.405261 -0.478178
v 0.635665 0.789052 0.022233 0.290196 0.376471 0.207843
vn 0.042647 -0.382169 0.923108
v 0.550187 0.788839 0.233804 0.164706 0.200000 0.105882
vn -0.553441 -0.653602 0.516244
v 0.587406 0.787747 0.212052 0.168627 0.247059 0.105882
vn 0.314135 0.798043 -0.514244
v 0.478962 0.788231 0.139145 0.329412 0.427451 0.227451
vn -0.431013 0.902344 0.001940
v 0.481063 0.787935 0.137544 0.470588 0.580392 0.345098
vn -0.230933 -0.291186 -0.928375
v 0.622880 0.789819 0.184771 0.211765 0.298039 0.149020
vn -0.792691 -0.264502 -0.549253
v 0.625416 0.787725 0.183387 0.243137 0.329412 0.168627
vn 0.101109 -0.895641 -0.433132
v 0.644871 0.788162 0.019103 0.627451 0.831373 0.494118
vn 0.842863 -0.429794 0.323819
v 0.612334 0.787479 0.173105 0.231373 0.309804 0.149020
vn 0.395857 -0.918191 0.014939
v 0.648299 0.787880 0.034249 0.176471 0.250980 0.113725
vn 0.830553 -0.554909 -0.047517
v 0.611774 0.786038 0.175620 0.235294 0.321569 0.156863
vn -0.546378 -0.594521 -0.589929
v 0.706331 0.787262 0.076457 0.172549 0.227451 0.105882
vn 0.359629 -0.878069 -0.315691
v 0.647452 0.787167 0.023242 0.349020 0.466667 0.258824
vn -0.935741 -0.343162 0.081421
v 0.412034 0.788816 0.200636 0.121569 0.196078 0.039216
vn 0.824248 -0.249581 -0.508256
v 0.684208 0.786900 0.075827 0.176471 0.270588 0.117647
vn 0.794398 -0.412687 0.445668
v 0.425653 0.788638 0.202674 0.121569 0.168627 0.047059
vn -0.541600 -0.471942 0.695658
v 0.520748 0.789336 0.217673 0.262745 0.376471 0.160784
vn 0.324045 -0.792466 0.516713
v 0.692127 0.789535 0.194804 0.152941 0.262745 0.109804
vn -0.072098 -0.764862 0.640147
v 0.576154 0.788888 0.203584 0.164706 0.235294 0.105882
vn -0.122481 -0.452089 0.883524
v 0.466739 0.789192 0.214116 0.125490 0.180392 0.043137
vn 0.503674 -0.751849 0.425482
v 0.693973 0.789694 0.192254 0.137255 0.207843 0.098039
vn 0.091023 -0.371677 0.923889
v 0.446365 0.789842 0.203665 0.133333 0.188235 0.070588
vn 0.415509 -0.801437 -0.430177
v 0.648580 0.789076 0.017078 0.133333 0.196078 0.074510
vn -0.510432 -0.529513 0.677551
v 0.451040 0.787879 0.207050 0.109804 0.172549 0.050980
vn 0.549841 -0.703340 0.450541
v 0.697700 0.790834 0.191377 0.121569 0.196078 0.086275
vn -0.082550 -0.880371 0.467046
v 0.459934 0.788678 0.210503 0.129412 0.184314 0.039216
vn 0.039916 -0.533738 0.844707
v 0.454438 0.789345 0.212817 0.109804 0.172549 0.043137
vn -0.035603 -0.572139 0.819383
v 0.502441 0.790865 0.221149 0.254902 0.372549 0.149020
vn -0.979741 -0.174258 0.098698
v 0.443544 0.789604 0.195259 0.164706 0.223529 0.105882
vn 0.754013 0.086731 -0.651109
v 0.717840 0.789789 0.100859 0.145098 0.196078 0.074510
vn -0.424699 -0.626611 0.653444
v 0.580924 0.787702 0.204224 0.164706 0.227451 0.105882
vn 0.590882 -0.747066 0.304549
v 0.705766 0.788133 0.181939 0.156863 0.250980 0.109804
vn 0.607160 -0.768039 -0.203646
v 0.649992 0.788642 0.021761 0.109804 0.164706 0.058824
vn 0.495069 -0.805776 0.325009
v 0.556010 0.791305 0.227293 0.160784 0.223529 0.101961
vn 0.209941 -0.871369 0.443442
v 0.561576 0.788732 0.221511 0.345098 0.521569 0.176471
vn -0.135933 -0.990084 -0.035446
v 0.447206 0.789741 0.208288 0.145098 0.188235 0.066667
vn 0.732716 -0.666503 0.137481
v 0.718697 0.790265 0.070034 0.180392 0.223529 0.101961
vn -0.779126 0.620645 0.088113
v 0.439721 0.791943 0.200572 0.141176 0.200000 0.070588
vn 0.347355 -0.636092 0.689008
v 0.624586 0.788615 0.215825 0.125490 0.200000 0.066667
vn 0.168352 -0.406516 0.897999
v 0.622051 0.789842 0.217763 0.070588 0.109804 0.023529
vn 0.447183 -0.547907 0.706983
v 0.706668 0.790156 0.165320 0.129412 0.192157 0.086275
vn 0.574393 -0.801490 0.166394
v 0.563899 0.788535 0.212989 0.164706 0.231373 0.117647
vn -0.587269 -0.334378 0.737093
v 0.526450 0.789222 0.223227 0.309804 0.439216 0.188235
vn -0.559851 -0.678364 0.475804
v 0.583951 0.789550 0.208746 0.149020 0.211765 0.101961
vn 0.026596 -0.727111 0.686005
v 0.506882 0.789405 0.219750 0.176471 0.262745 0.109804
vn -0.135154 0.191811 0.972081
v 0.416017 0.789238 0.204054 0.121569 0.180392 0.039216
vn -0.203490 -0.034070 0.978484
v 0.479329 0.789630 0.217364 0.141176 0.203922 0.062745
vn 0.683780 -0.125270 -0.718855
v 0.693173 0.788995 0.083785 0.172549 0.274510 0.117647
vn 0.390829 -0.911492 -0.128197
v 0.714191 0.789121 0.119102 0.137255 0.215686 0.078431
vn 0.338247 -0.881265 0.330091
v 0.566551 0.789058 0.205670 0.168627 0.243137 0.121569
vn 0.229425 -0.902882 0.363550
v 0.471566 0.789430 0.212446 0.113725 0.164706 0.039216
vn 0.898090 -0.223503 -0.378790
v 0.716433 0.789419 0.081730 0.160784 0.211765 0.086275
vn -0.140811 -0.866052 0.479715
v 0.446918 0.790689 0.204279 0.125490 0.184314 0.058824
vn -0.649720 -0.742736 0.161883
v 0.476939 0.789187 0.208666 0.113725 0.164706 0.027451
vn -0.159828 -0.416079 0.895172
v 0.493356 0.789756 0.219712 0.180392 0.266667 0.125490
vn 0.873223 -0.182076 0.452030
v 0.715070 0.788995 0.107992 0.129412 0.188235 0.062745
vn 0.817518 -0.570406 0.079385
v 0.714057 0.790491 0.111616 0.141176 0.203922 0.086275
vn -0.507033 -0.101776 0.855897
v 0.532850 0.790318 0.227897 0.250980 0.360784 0.160784
vn 0.819033 0.327350 -0.471197
v 0.716874 0.790132 0.082540 0.152941 0.196078 0.086275
vn -0.004896 -0.719766 0.694199
v 0.711924 0.789648 0.163546 0.164706 0.254902 0.141176
vn -0.533402 -0.523401 0.664480
v 0.448926 0.789866 0.211644 0.109804 0.164706 0.035294
vn 0.595600 -0.760195 -0.259544
v 0.721748 0.790862 0.115273 0.164706 0.231373 0.086275
vn 0.707855 -0.706358 -0.000854
v 0.713099 0.788632 0.115469 0.125490 0.188235 0.078431
vn 0.693008 -0.707959 0.136137
v 0.717042 0.790909 0.074432 0.168627 0.219608 0.101961
vn 0.145382 -0.567300 0.810577
v 0.637265 0.790336 0.210758 0.301961 0.501961 0.156863
vn 0.770258 -0.621371 0.143532
v 0.719459 0.788933 0.134617 0.188235 0.286275 0.121569
vn -0.645687 0.239927 -0.724930
v 0.443401 0.790149 0.198439 0.156863 0.219608 0.098039
vn 0.975718 -0.092721 0.198437
v 0.717766 0.789688 0.104623 0.141176 0.196078 0.078431
vn -0.627697 -0.143427 -0.765131
v 0.638138 0.789842 0.014725 0.066667 0.109804 0.035294
vn 0.365907 -0.449571 -0.814861
v 0.714340 0.789210 0.101699 0.156863 0.219608 0.086275
vn 0.292267 -0.881596 0.370632
v 0.684890 0.790626 0.198929 0.152941 0.250980 0.117647
vn -0.086029 -0.984799 -0.150897
v 0.474305 0.789921 0.210147 0.121569 0.172549 0.035294
vn -0.870037 0.382607 -0.310883
v 0.636635 0.789898 0.019840 0.247059 0.329412 0.168627
vn -0.015923 -0.378973 -0.925271
v 0.646133 0.791581 0.012512 0.105882 0.137255 0.043137
vn -0.019336 -0.597561 0.801590
v 0.645624 0.790425 0.210782 0.294118 0.470588 0.156863
vn -0.137523 -0.562309 0.815412
v 0.655667 0.790259 0.211817 0.258824 0.474510 0.129412
vn 0.711200 -0.664038 -0.230755
v 0.617436 0.790935 0.178941 0.219608 0.294118 0.141176
vn -0.770348 -0.429095 -0.471637
v 0.412557 0.789089 0.198506 0.125490 0.192157 0.047059
vn -0.799896 0.167364 0.576330
v 0.431191 0.786799 0.173473 0.215686 0.298039 0.117647
vn -0.473130 -0.708414 -0.523734
v 0.705286 0.791142 0.072838 0.168627 0.235294 0.105882
vn 0.710777 -0.590427 -0.382351
v 0.426519 0.789405 0.199384 0.125490 0.180392 0.054902
vn 0.441602 -0.893978 -0.076101
v 0.653579 0.790385 0.034249 0.164706 0.239216 0.105882
vn -0.810443 -0.019203 0.585503
v 0.434213 0.788290 0.177950 0.200000 0.278431 0.109804
vn 0.618500 -0.782250 -0.074450
v 0.615790 0.791535 0.174798 0.215686 0.282353 0.117647
vn -0.886145 0.291625 0.360143
v 0.482214 0.789670 0.136698 0.580392 0.705882 0.443137
vn 0.290401 -0.534352 0.793811
v 0.618174 0.790156 0.218583 0.125490 0.200000 0.070588
vn 0.570686 -0.820325 0.037205
v 0.704359 0.790765 0.170142 0.160784 0.227451 0.098039
vn 0.114589 -0.672868 0.730834
v 0.668776 0.790039 0.205166 0.141176 0.227451 0.098039
vn 0.484391 -0.782261 0.391707
v 0.682484 0.790748 0.202271 0.141176 0.231373 0.101961
vn -0.271173 -0.730668 -0.626569
v 0.708554 0.791303 0.070415 0.168627 0.227451 0.101961
vn -0.819925 0.466013 -0.332498
v 0.482618 0.789463 0.139238 0.580392 0.701961 0.439216
vn -0.257082 -0.409555 -0.875313
v 0.699099 0.789842 0.087239 0.176471 0.274510 0.113725
vn -0.213743 -0.965251 0.150346
v 0.674132 0.790001 0.209428 0.149020 0.231373 0.098039
vn 0.649351 0.184328 -0.737812
v 0.478375 0.789842 0.139725 0.329412 0.427451 0.227451
vn -0.098204 0.322411 -0.941492
v 0.480656 0.789842 0.140610 0.368627 0.470588 0.262745
vn -0.064857 -0.784864 -0.616264
v 0.715399 0.789698 0.069589 0.176471 0.219608 0.105882
vn 0.489792 -0.680263 -0.545295
v 0.675135 0.788668 0.060045 0.160784 0.247059 0.101961
vn 0.612874 -0.408675 -0.676291
v 0.424628 0.789842 0.196934 0.129412 0.184314 0.058824
vn 0.501275 0.447557 0.740552
v 0.476905 0.789842 0.132225 0.396078 0.501961 0.282353
vn -0.367328 0.470456 0.802335
v 0.478962 0.789687 0.132354 0.580392 0.701961 0.435294
vn 0.905590 0.424089 -0.007372
v 0.475702 0.789842 0.135005 0.317647 0.415686 0.219608
vn -0.102733 -0.107149 0.988921
v 0.600271 0.790128 0.216901 0.203922 0.349020 0.137255
vn -0.959106 -0.258102 -0.116183
v 0.626469 0.788360 0.180302 0.239216 0.337255 0.164706
vn -0.264945 -0.382663 0.885084
v 0.609351 0.789842 0.219186 0.235294 0.372549 0.137255
vn -0.423349 -0.710636 0.561936
v 0.611026 0.791360 0.221273 0.231373 0.349020 0.137255
vn -0.086072 -0.859223 0.504308
v 0.675392 0.789074 0.206972 0.152941 0.239216 0.105882
vn 0.522226 -0.729655 -0.441457
v 0.627978 0.789842 0.022733 0.207843 0.278431 0.145098
vn -0.953962 -0.240409 -0.179334
v 0.607209 0.789742 0.049490 0.168627 0.247059 0.105882
vn 0.076943 -0.982053 -0.172198
v 0.444530 0.789815 0.099999 0.200000 0.282353 0.125490
vn -0.756093 -0.653464 0.036181
v 0.420046 0.788514 0.145254 0.176471 0.258824 0.098039
vn 0.443403 -0.896318 0.002545
v 0.448482 0.790353 0.101984 0.223529 0.305882 0.145098
vn 0.224197 -0.706891 -0.670851
v 0.630414 0.790198 0.024089 0.207843 0.286275 0.141176
vn 0.615472 -0.749138 -0.244921
v 0.448482 0.789842 0.104618 0.219608 0.298039 0.141176
vn 0.622859 -0.458512 -0.633888
v 0.451868 0.789823 0.108745 0.235294 0.309804 0.149020
vn 0.377202 -0.901151 -0.213648
v 0.652075 0.788856 0.039004 0.156863 0.231373 0.098039
vn 0.418550 -0.762069 -0.494031
v 0.670312 0.791004 0.052876 0.156863 0.239216 0.098039
vn -0.399646 -0.900178 -0.173099
v 0.453562 0.788917 0.093756 0.223529 0.301961 0.145098
vn -0.213253 -0.173192 -0.961524
v 0.578894 0.789905 0.068367 0.188235 0.274510 0.117647
vn -0.289356 -0.885603 0.363290
v 0.451868 0.789842 0.098826 0.247059 0.321569 0.164706
vn -0.282495 -0.896243 -0.341973
v 0.458642 0.786993 0.093233 0.215686 0.298039 0.137255
vn -0.895930 -0.442838 0.034684
v 0.607573 0.789672 0.044410 0.164706 0.243137 0.101961
vn -0.090409 -0.152039 -0.984231
v 0.587337 0.789842 0.066881 0.180392 0.262745 0.109804
vn -0.162685 -0.809022 -0.564816
v 0.458419 0.790624 0.086696 0.200000 0.282353 0.129412
vn 0.428151 -0.109105 -0.897097
v 0.455720 0.789842 0.111849 0.247059 0.317647 0.156863
vn -0.688068 -0.270729 0.673253
v 0.455404 0.789842 0.101912 0.301961 0.368627 0.203922
vn -0.194698 -0.965112 -0.175077
v 0.449949 0.790334 0.093517 0.215686 0.298039 0.141176
vn -0.818459 0.189137 0.542542
v 0.458398 0.789842 0.105810 0.352941 0.407843 0.239216
vn 0.028792 0.111699 -0.993325
v 0.590724 0.789842 0.067011 0.176471 0.262745 0.109804
vn -0.272486 0.328843 -0.904220
v 0.594111 0.789842 0.066542 0.180392 0.266667 0.109804
vn 0.308994 0.343033 -0.887047
v 0.458642 0.789842 0.113108 0.254902 0.325490 0.164706
vn -0.796911 0.414747 0.439225
v 0.460223 0.789842 0.108757 0.341176 0.400000 0.231373
vn -0.582323 0.321360 -0.746745
v 0.597498 0.789842 0.064741 0.180392 0.266667 0.109804
vn -0.035656 -0.789132 -0.613188
v 0.467109 0.788095 0.088437 0.192157 0.278431 0.121569
vn -0.474875 0.868478 0.142267
v 0.462028 0.789460 0.112144 0.282353 0.352941 0.184314
vn -0.186709 -0.439806 -0.878470
v 0.560244 0.789842 0.072584 0.180392 0.266667 0.109804
vn -0.870563 0.169793 -0.461834
v 0.604822 0.789940 0.056200 0.180392 0.262745 0.109804
vn -0.163085 -0.413986 -0.895555
v 0.575484 0.788148 0.069505 0.180392 0.262745 0.109804
vn 0.373122 0.794611 -0.478930
v 0.461994 0.789789 0.115571 0.247059 0.325490 0.160784
vn 0.172080 0.791860 -0.585958
v 0.465415 0.790094 0.118560 0.247059 0.325490 0.160784
vn -0.258771 0.943227 0.208231
v 0.465415 0.789553 0.114882 0.278431 0.352941 0.184314
vn 0.188692 -0.920895 -0.341098
v 0.446788 0.788315 0.107064 0.196078 0.282353 0.121569
vn 0.293344 -0.948754 -0.117537
v 0.646436 0.787135 0.037636 0.160784 0.235294 0.101961
vn 0.364310 -0.855980 -0.366846
v 0.656736 0.788468 0.045693 0.156863 0.231373 0.098039
vn -0.587531 -0.799941 0.122073
v 0.455255 0.787566 0.098597 0.243137 0.321569 0.160784
vn -0.037189 -0.607728 -0.793274
v 0.551353 0.787209 0.075467 0.184314 0.270588 0.113725
vn 0.527472 -0.622598 -0.578053
v 0.648299 0.791526 0.013917 0.121569 0.172549 0.066667
vn 0.057340 -0.921960 -0.383016
v 0.720267 0.790591 0.114896 0.164706 0.239216 0.101961
vn -0.739387 -0.442825 0.507162
v 0.439066 0.791429 0.183251 0.207843 0.294118 0.117647
vn 0.682757 -0.711608 0.165703
v 0.715838 0.790961 0.078700 0.164706 0.203922 0.101961
vn 0.137447 -0.943838 0.300465
v 0.713561 0.790693 0.167661 0.215686 0.333333 0.141176
vn -0.200711 -0.441890 0.874328
v 0.451868 0.789735 0.212829 0.105882 0.168627 0.043137
vn -0.869944 -0.406785 0.278790
v 0.441491 0.790175 0.187890 0.149020 0.211765 0.078431
vn 0.509089 -0.857740 -0.071483
v 0.652586 0.789734 0.027359 0.156863 0.223529 0.094118
vn 0.461305 -0.511719 -0.724805
v 0.621165 0.793229 0.183293 0.188235 0.278431 0.141176
vn -0.486745 -0.872356 0.045545
v 0.410126 0.791190 0.200943 0.125490 0.203922 0.043137
vn -0.252365 -0.459671 0.851478
v 0.412901 0.791216 0.203878 0.129412 0.196078 0.050980
vn -0.137733 -0.587843 0.797164
v 0.487179 0.791098 0.219824 0.219608 0.313725 0.141176
vn -0.160780 -0.783801 0.599838
v 0.444407 0.789518 0.207112 0.176471 0.247059 0.094118
vn -0.480673 0.448748 0.753378
v 0.537759 0.790513 0.230688 0.192157 0.270588 0.101961
vn 0.916365 -0.391876 0.081899
v 0.707017 0.790066 0.181572 0.243137 0.439216 0.129412
vn 0.152603 -0.796287 0.585355
v 0.561619 0.790266 0.223595 0.247059 0.364706 0.137255
vn 0.128522 -0.908086 0.398574
v 0.570669 0.789964 0.205912 0.168627 0.247059 0.121569
vn 0.942133 0.295542 -0.158242
v 0.715647 0.791669 0.083145 0.149020 0.192157 0.070588
vn 0.908168 -0.401665 0.117880
v 0.715443 0.791309 0.164168 0.231373 0.349020 0.149020
vn 0.349593 -0.551530 -0.757363
v 0.718573 0.790375 0.067789 0.172549 0.239216 0.101961
vn -0.277634 -0.816058 0.506922
v 0.580911 0.790305 0.207532 0.160784 0.227451 0.105882
vn 0.889763 -0.415536 0.188817
v 0.718382 0.790448 0.146382 0.215686 0.325490 0.129412
vn 0.518309 -0.853999 0.045180
v 0.566477 0.790458 0.222148 0.298039 0.450980 0.156863
vn 0.882951 -0.427072 0.194953
v 0.721456 0.790742 0.128846 0.184314 0.278431 0.125490
vn 0.141319 -0.393287 0.908490
v 0.425923 0.790595 0.203672 0.137255 0.180392 0.058824
vn 0.754861 -0.432860 -0.492764
v 0.681255 0.788854 0.066423 0.172549 0.262745 0.113725
vn 0.231788 -0.662591 0.712213
v 0.430701 0.791241 0.204836 0.105882 0.164706 0.039216
vn -0.784602 0.158065 0.599513
v 0.428137 0.790464 0.168177 0.223529 0.298039 0.125490
vn 0.294498 -0.504682 0.811521
v 0.630972 0.791162 0.213388 0.282353 0.501961 0.145098
vn 0.946884 -0.120401 0.298184
v 0.714720 0.791112 0.090342 0.137255 0.192157 0.078431
vn -0.291376 0.330493 0.897705
v 0.541649 0.790201 0.234145 0.172549 0.227451 0.090196
vn 0.163518 -0.941205 -0.295627
v 0.717411 0.790944 0.114393 0.141176 0.223529 0.094118
vn 0.051792 -0.918395 0.392262
v 0.475077 0.789892 0.208322 0.121569 0.176471 0.035294
vn 0.592707 -0.748878 -0.296447
v 0.652262 0.790822 0.023935 0.141176 0.200000 0.074510
vn 0.595074 -0.764900 -0.246607
v 0.721056 0.788921 0.119455 0.176471 0.262745 0.109804
vn 0.459500 -0.888147 -0.007419
v 0.428996 0.790269 0.202283 0.113725 0.168627 0.043137
vn 0.035759 -0.946580 -0.320482
v 0.716880 0.790116 0.118918 0.133333 0.219608 0.078431
vn 0.482775 -0.691930 0.536807
v 0.677719 0.790839 0.209858 0.129412 0.188235 0.090196
vn -0.055408 -0.962665 0.264963
v 0.672641 0.790292 0.211841 0.160784 0.258824 0.101961
vn -0.126246 -0.884162 0.449800
v 0.710745 0.790227 0.165961 0.243137 0.454902 0.145098
vn -0.596197 0.726362 -0.341978
v 0.637847 0.791525 0.019743 0.243137 0.333333 0.152941
vn -0.307669 -0.943282 0.124735
v 0.711165 0.792729 0.169295 0.298039 0.490196 0.176471
vn -0.408138 -0.687660 0.600455
v 0.523010 0.791426 0.222411 0.274510 0.384314 0.168627
vn -0.760463 -0.602279 0.242810
v 0.439357 0.792162 0.185404 0.200000 0.282353 0.109804
vn 0.903805 -0.289877 0.314813
v 0.690877 0.790866 0.079039 0.176471 0.258824 0.113725
vn -0.335701 -0.283990 0.898140
v 0.480243 0.791013 0.217667 0.192157 0.270588 0.101961
vn 0.671849 -0.606548 -0.425110
v 0.715829 0.792131 0.099381 0.160784 0.231373 0.098039
vn 0.003248 -0.019161 0.999811
v 0.418424 0.791112 0.203766 0.113725 0.164706 0.047059
vn 0.344571 -0.840372 0.418384
v 0.569758 0.794032 0.214650 0.149020 0.207843 0.101961
vn 0.631463 -0.719638 0.288749
v 0.715367 0.791543 0.110106 0.125490 0.180392 0.066667
vn 0.899916 -0.056657 -0.432366
v 0.719275 0.791324 0.068328 0.168627 0.247059 0.105882
vn 0.438411 -0.834012 0.334993
v 0.705847 0.791625 0.167347 0.133333 0.188235 0.082353
vn -0.675869 0.050459 0.735293
v 0.445486 0.791535 0.209108 0.149020 0.200000 0.082353
vn -0.043758 -0.492788 0.869048
v 0.496007 0.792673 0.221887 0.243137 0.345098 0.156863
vn -0.310910 -0.179820 -0.933274
v 0.716257 0.791535 0.068188 0.172549 0.231373 0.101961
vn 0.078596 -0.900244 0.428234
v 0.708413 0.792144 0.167814 0.254902 0.450980 0.156863
vn -0.948836 -0.096219 -0.300752
v 0.443130 0.793106 0.198659 0.149020 0.203922 0.086275
vn -0.274280 -0.465145 0.841672
v 0.528237 0.792550 0.225926 0.301961 0.423529 0.176471
vn 0.860576 -0.235894 -0.451401
v 0.682936 0.791906 0.067240 0.180392 0.278431 0.105882
vn 0.967692 0.051974 0.246722
v 0.715857 0.791958 0.087590 0.145098 0.196078 0.078431
vn -0.698310 0.648657 0.302669
v 0.542780 0.792772 0.232444 0.211765 0.298039 0.117647
vn 0.963205 -0.231514 -0.136523
v 0.719106 0.793652 0.070233 0.168627 0.243137 0.101961
vn 0.222667 -0.748103 0.625109
v 0.635709 0.793229 0.213746 0.274510 0.478431 0.149020
vn 0.280129 -0.767233 0.576959
v 0.674626 0.790552 0.211512 0.129412 0.192157 0.086275
vn 0.391464 -0.511290 -0.765074
v 0.697309 0.790891 0.086152 0.180392 0.278431 0.117647
vn -0.287509 -0.234317 0.928673
v 0.474136 0.791535 0.215280 0.149020 0.207843 0.050980
vn 0.690202 -0.722992 0.030071
v 0.721266 0.787936 0.123998 0.168627 0.239216 0.101961
vn 0.335109 -0.409439 0.848565
v 0.554177 0.793114 0.234367 0.243137 0.352941 0.129412
vn -0.434009 0.573675 -0.694646
v 0.440072 0.791184 0.198677 0.145098 0.203922 0.074510
vn 0.711416 -0.702685 -0.011019
v 0.706261 0.791995 0.176529 0.133333 0.207843 0.086275
vn 0.002778 -0.890225 0.455513
v 0.575987 0.791549 0.208514 0.152941 0.223529 0.113725
vn 0.822771 -0.564894 0.062789
v 0.431568 0.791483 0.204038 0.105882 0.164706 0.039216
vn 0.849072 -0.414333 0.327728
v 0.715310 0.791951 0.169726 0.278431 0.388235 0.168627
vn 0.453515 -0.888061 -0.075316
v 0.717859 0.791438 0.075965 0.164706 0.215686 0.098039
vn 0.327790 -0.847265 0.417966
v 0.570135 0.791126 0.211188 0.160784 0.223529 0.117647
vn 0.724856 -0.673076 0.146809
v 0.555347 0.791020 0.229515 0.184314 0.262745 0.105882
vn -0.901477 0.052817 0.429592
v 0.425769 0.790552 0.164079 0.207843 0.282353 0.109804
vn 0.479509 -0.876985 -0.031109
v 0.705873 0.791060 0.173105 0.176471 0.262745 0.109804
vn 0.125391 -0.362752 -0.923411
v 0.479809 0.791959 0.140313 0.380392 0.482353 0.270588
vn -0.810745 -0.237418 -0.535094
v 0.482712 0.791535 0.139756 0.580392 0.701961 0.439216
vn -0.382190 -0.732361 -0.563541
v 0.410593 0.792849 0.196136 0.121569 0.180392 0.047059
vn 0.262431 -0.928676 0.262088
v 0.664386 0.791314 0.211466 0.200000 0.345098 0.137255
vn -0.790251 0.130893 0.598641
v 0.432909 0.793229 0.171855 0.211765 0.298039 0.113725
vn 0.554170 -0.680933 0.478775
v 0.555223 0.791535 0.232453 0.184314 0.262745 0.101961
vn 0.753401 -0.434234 -0.493789
v 0.430393 0.792445 0.200622 0.129412 0.184314 0.058824
vn 0.092730 -0.693444 0.714519
v 0.661339 0.790874 0.213095 0.211765 0.368627 0.137255
vn 0.315820 -0.357443 0.878916
v 0.477269 0.792382 0.131791 0.478431 0.592157 0.352941
vn 0.918882 -0.386405 -0.079672
v 0.627753 0.791926 0.016892 0.243137 0.301961 0.188235
vn 0.419714 -0.491460 0.763091
v 0.619511 0.793229 0.173451 0.200000 0.266667 0.129412
vn -0.771364 -0.550275 -0.319679
v 0.700895 0.792968 0.081308 0.172549 0.258824 0.113725
vn 0.165210 0.007279 0.986232
v 0.599031 0.792775 0.216512 0.211765 0.384314 0.152941
vn -0.858938 -0.382308 0.340684
v 0.624486 0.795917 0.176633 0.188235 0.254902 0.125490
vn -0.351987 -0.742010 0.570549
v 0.585793 0.792050 0.216627 0.188235 0.282353 0.113725
vn -0.192354 -0.527826 0.827284
v 0.590936 0.790523 0.216939 0.200000 0.325490 0.125490
vn -0.716600 -0.573216 0.397377
v 0.418845 0.792169 0.150918 0.184314 0.266667 0.098039
vn 0.906841 -0.324137 0.269396
v 0.475894 0.792461 0.134114 0.345098 0.447059 0.243137
vn -0.919069 -0.084175 0.385003
v 0.424161 0.791535 0.157865 0.219608 0.301961 0.121569
vn -0.456416 -0.346560 0.819500
v 0.479254 0.792410 0.132269 0.596078 0.717647 0.454902
vn -0.269736 0.102227 0.957493
v 0.605118 0.791535 0.218463 0.258824 0.415686 0.145098
vn -0.122622 -0.923191 0.364257
v 0.670123 0.791535 0.206972 0.156863 0.254902 0.109804
vn -0.827383 -0.390182 0.403974
v 0.481714 0.793229 0.135851 0.478431 0.596078 0.345098
vn -0.553528 0.305570 0.774748
v 0.609351 0.791842 0.219007 0.286275 0.454902 0.152941
vn 0.558121 -0.613431 0.558752
v 0.665219 0.789853 0.207340 0.164706 0.274510 0.109804
vn 0.505091 0.016959 0.862899
v 0.545498 0.791588 0.232206 0.164706 0.219608 0.109804
vn 0.604375 -0.768752 -0.209170
v 0.567804 0.793040 0.219700 0.145098 0.207843 0.090196
vn -0.121379 -0.456203 0.881559
v 0.460012 0.790813 0.213190 0.129412 0.200000 0.047059
vn -0.006877 -0.926645 0.375875
v 0.518756 0.791240 0.220308 0.305882 0.443137 0.180392
vn -0.754279 0.440553 0.486802
v 0.444605 0.793941 0.206859 0.156863 0.219608 0.090196
vn 0.634509 -0.493725 -0.594671
v 0.686399 0.792257 0.076583 0.172549 0.262745 0.113725
vn 0.163935 -0.235368 0.957981
v 0.544028 0.791204 0.234184 0.301961 0.458824 0.176471
vn 0.937327 -0.343164 -0.060464
v 0.724359 0.794922 0.115954 0.188235 0.278431 0.125490
vn -0.164862 -0.703255 0.691558
v 0.506479 0.793229 0.224510 0.207843 0.290196 0.121569
vn 0.925077 -0.378889 0.025981
v 0.723387 0.792991 0.121034 0.188235 0.282353 0.117647
vn 0.292364 -0.771125 -0.565588
v 0.718997 0.792666 0.105778 0.121569 0.172549 0.058824
vn 0.699584 -0.330220 0.633670
v 0.705576 0.793893 0.185237 0.200000 0.329412 0.121569
vn 0.047153 -0.902476 0.428152
v 0.516004 0.791871 0.222543 0.270588 0.388235 0.164706
vn -0.783569 -0.242034 0.572223
v 0.543724 0.792805 0.235134 0.262745 0.388235 0.145098
vn 0.993064 0.074417 0.091030
v 0.715603 0.792911 0.165031 0.211765 0.317647 0.145098
vn 0.569535 -0.794322 0.211384
v 0.567057 0.792871 0.215837 0.145098 0.211765 0.098039
vn 0.628776 -0.777584 0.001921
v 0.721237 0.792758 0.076300 0.152941 0.203922 0.078431
vn -0.087759 -0.229168 0.969423
v 0.427103 0.793546 0.204758 0.133333 0.176471 0.054902
vn 0.676977 -0.575175 0.459212
v 0.681571 0.792286 0.205909 0.145098 0.223529 0.101961
vn -0.484861 -0.815234 0.316707
v 0.406465 0.791901 0.202456 0.113725 0.176471 0.043137
vn 0.719167 -0.694807 0.006504
v 0.565325 0.791539 0.216733 0.141176 0.219608 0.113725
vn 0.731079 -0.599921 -0.324989
v 0.650951 0.790853 0.019214 0.125490 0.192157 0.070588
vn 0.208300 -0.357699 0.910309
v 0.621628 0.792805 0.217943 0.066667 0.113725 0.039216
vn 0.072164 -0.944397 0.320792
v 0.710016 0.791745 0.175645 0.223529 0.333333 0.164706
vn -0.254698 -0.839146 0.480587
v 0.581426 0.791889 0.210894 0.145098 0.203922 0.098039
vn 0.942829 -0.174389 -0.284009
v 0.716732 0.791958 0.104511 0.121569 0.164706 0.070588
vn 0.388131 -0.721299 0.573656
v 0.709751 0.793100 0.178484 0.152941 0.231373 0.098039
vn -0.487823 0.780421 -0.391117
v 0.642513 0.792901 0.015380 0.105882 0.149020 0.047059
vn -0.220422 -0.720835 0.657123
v 0.409122 0.792362 0.203661 0.113725 0.176471 0.039216
vn -0.466362 -0.796791 0.384227
v 0.582510 0.793003 0.213532 0.145098 0.207843 0.094118
vn 0.553276 -0.742892 -0.376826
v 0.627710 0.791542 0.013506 0.294118 0.329412 0.235294
vn 0.000181 -0.996401 -0.084762
v 0.708972 0.791722 0.172682 0.223529 0.337255 0.145098
vn 0.307639 -0.949672 -0.059006
v 0.716033 0.792051 0.110874 0.125490 0.168627 0.058824
vn 0.040637 -0.960012 -0.276993
v 0.655495 0.792451 0.019221 0.125490 0.188235 0.066667
vn 0.569598 -0.809707 -0.141182
v 0.718302 0.791469 0.106535 0.125490 0.164706 0.054902
vn 0.283206 -0.937354 0.202884
v 0.712003 0.791546 0.172574 0.196078 0.325490 0.141176
vn 0.409036 -0.901940 -0.138543
v 0.656218 0.792141 0.024296 0.211765 0.290196 0.152941
vn 0.348821 -0.903610 -0.248622
v 0.721566 0.792162 0.111994 0.192157 0.301961 0.129412
vn 0.451754 -0.734254 0.506744
v 0.719420 0.792075 0.078527 0.145098 0.184314 0.070588
vn -0.053694 -0.287108 0.956392
v 0.654352 0.794063 0.214186 0.223529 0.423529 0.125490
vn 0.929903 -0.328271 0.165887
v 0.715287 0.792805 0.081664 0.145098 0.188235 0.058824
vn 0.781220 -0.620738 0.066177
v 0.707252 0.792792 0.179667 0.164706 0.247059 0.101961
vn -0.169680 -0.562175 0.809425
v 0.485524 0.793390 0.221993 0.231373 0.352941 0.149020
vn -0.728407 0.127304 0.673213
v 0.447974 0.793436 0.210316 0.141176 0.207843 0.066667
vn 0.064721 -0.818094 0.571431
v 0.511639 0.791213 0.221500 0.262745 0.372549 0.149020
vn 0.383586 -0.725413 0.571523
v 0.691314 0.792220 0.197750 0.172549 0.294118 0.121569
vn 0.591840 -0.555304 0.584262
v 0.701343 0.791477 0.185479 0.117647 0.184314 0.090196
vn 0.587156 -0.800860 -0.117779
v 0.722588 0.793244 0.106279 0.176471 0.270588 0.098039
vn 0.124720 -0.654491 0.745712
v 0.671819 0.791102 0.213389 0.207843 0.356863 0.121569
vn 0.250994 -0.593538 0.764666
v 0.567212 0.795002 0.228040 0.258824 0.388235 0.141176
vn 0.711677 -0.570137 0.410438
v 0.700833 0.793561 0.189496 0.113725 0.156863 0.086275
vn 0.107289 -0.899653 0.423217
v 0.574214 0.794644 0.213746 0.149020 0.200000 0.094118
vn -0.723740 -0.631301 0.278676
v 0.441677 0.792760 0.193254 0.141176 0.192157 0.086275
vn 0.191585 -0.743473 0.640736
v 0.626073 0.791616 0.217816 0.121569 0.200000 0.062745
vn 0.771230 -0.450957 -0.449268
v 0.546310 0.794258 0.233535 0.215686 0.309804 0.125490
vn 0.719834 -0.593248 -0.360412
v 0.656846 0.793801 0.017061 0.117647 0.184314 0.058824
vn -0.099398 -0.548194 0.830424
v 0.470448 0.794071 0.216288 0.168627 0.250980 0.090196
vn 0.554883 -0.651840 0.516923
v 0.697592 0.792382 0.194272 0.164706 0.258824 0.098039
vn -0.744337 0.667731 0.009943
v 0.441213 0.793291 0.200882 0.137255 0.200000 0.070588
vn 0.170924 -0.020962 0.985061
v 0.429908 0.795957 0.205222 0.129412 0.176471 0.066667
vn 0.850221 -0.321747 0.416657
v 0.707377 0.793799 0.182154 0.156863 0.247059 0.101961
vn 0.827547 -0.560218 -0.036347
v 0.722700 0.793502 0.110507 0.172549 0.258824 0.121569
vn 0.364405 -0.771173 0.522017
v 0.569134 0.792672 0.225580 0.298039 0.462745 0.156863
vn 0.639318 -0.115620 0.760200
v 0.431499 0.792805 0.205144 0.105882 0.160784 0.043137
vn -0.601207 -0.737373 -0.307946
v 0.405603 0.793476 0.198336 0.105882 0.164706 0.035294
vn 0.978563 -0.059276 -0.197232
v 0.717180 0.792276 0.101613 0.141176 0.192157 0.086275
vn 0.561530 -0.786562 -0.256914
v 0.718186 0.794527 0.101419 0.137255 0.200000 0.082353
vn 0.090619 -0.832693 0.546269
v 0.639408 0.794178 0.213632 0.290196 0.470588 0.137255
vn -0.200822 -0.575403 0.792832
v 0.525325 0.794105 0.226937 0.290196 0.431373 0.160784
vn 0.315070 -0.809352 0.495662
v 0.631198 0.793318 0.215180 0.298039 0.513725 0.164706
vn 0.311920 -0.781592 0.540204
v 0.687133 0.792237 0.201892 0.145098 0.235294 0.109804
vn -0.473417 -0.087187 0.876513
v 0.450619 0.794204 0.213387 0.133333 0.203922 0.054902
vn 0.893662 -0.396402 0.210317
v 0.716717 0.790402 0.153097 0.274510 0.431373 0.172549
vn -0.179659 -0.324052 0.928824
v 0.411650 0.792382 0.204432 0.125490 0.184314 0.050980
vn -0.396485 0.502063 -0.768591
v 0.643599 0.792193 0.013551 0.113725 0.164706 0.062745
vn 0.831695 -0.310590 0.460237
v 0.711669 0.793633 0.176930 0.262745 0.345098 0.172549
vn 0.569470 -0.803847 -0.171853
v 0.715554 0.793696 0.094435 0.156863 0.215686 0.086275
vn 0.817708 -0.273861 -0.506314
v 0.680391 0.792033 0.063161 0.168627 0.258824 0.109804
vn 0.109047 -0.794775 0.597027
v 0.667655 0.792447 0.214194 0.215686 0.372549 0.117647
vn 0.064447 -0.698435 0.712766
v 0.664112 0.793317 0.216058 0.125490 0.176471 0.082353
vn 0.737813 -0.422904 0.526104
v 0.680864 0.793451 0.208808 0.137255 0.200000 0.094118
vn 0.312151 -0.899592 -0.305443
v 0.653162 0.792650 0.020657 0.137255 0.200000 0.086275
vn 0.157641 -0.963182 0.217785
v 0.707566 0.792761 0.175645 0.129412 0.203922 0.074510
vn 0.588148 -0.787292 -0.185078
v 0.657570 0.792822 0.021328 0.129412 0.200000 0.078431
vn 0.427265 -0.599644 -0.676662
v 0.478773 0.793311 0.139313 0.364706 0.466667 0.254902
vn -0.297486 0.106840 0.948729
v 0.536287 0.792594 0.228973 0.211765 0.309804 0.129412
vn -0.619863 -0.770673 -0.147758
v 0.701660 0.793226 0.074552 0.168627 0.250980 0.109804
vn 0.616043 -0.405639 -0.675239
v 0.426714 0.792382 0.196887 0.137255 0.196078 0.066667
vn -0.343561 -0.935059 -0.087355
v 0.608212 0.792904 0.222161 0.250980 0.372549 0.149020
vn -0.777124 -0.576657 -0.252084
v 0.482296 0.793183 0.138391 0.552941 0.674510 0.415686
vn -0.442585 0.661717 0.605185
v 0.543310 0.793441 0.230679 0.172549 0.227451 0.094118
vn 0.744439 -0.534812 -0.399733
v 0.677931 0.793229 0.057956 0.164706 0.250980 0.105882
vn 0.176339 -0.775766 -0.605882
v 0.710101 0.794467 0.066791 0.160784 0.235294 0.101961
vn -0.298117 -0.304823 0.904549
v 0.621205 0.793014 0.173177 0.211765 0.290196 0.141176
vn -0.889574 -0.220795 -0.399884
v 0.609952 0.793229 0.220519 0.262745 0.407843 0.149020
vn 0.053286 -0.617462 0.784794
v 0.612700 0.792391 0.223065 0.227451 0.321569 0.145098
vn -0.686528 -0.504475 0.523626
v 0.421666 0.793846 0.155865 0.207843 0.290196 0.117647
vn -0.667916 -0.413678 -0.618675
v 0.624462 0.793229 0.183129 0.196078 0.278431 0.141176
vn -0.833583 -0.376923 0.403817
v 0.423701 0.793229 0.158499 0.247059 0.329412 0.141176
vn 0.888611 -0.325746 -0.322894
v 0.475978 0.792382 0.135698 0.337255 0.439216 0.235294
vn 0.361108 -0.558044 0.747120
v 0.615278 0.792382 0.222185 0.227451 0.325490 0.152941
vn -0.978817 -0.000820 0.204735
v 0.434335 0.793229 0.174798 0.207843 0.298039 0.113725
vn 0.333321 -0.673524 0.659745
v 0.618682 0.794427 0.220901 0.145098 0.215686 0.090196
vn -0.965764 -0.150961 0.210974
v 0.433946 0.794075 0.179032 0.196078 0.278431 0.105882
vn -0.729139 -0.294969 0.617535
v 0.434935 0.792230 0.179747 0.196078 0.278431 0.105882
vn 0.311096 0.023023 0.950100
v 0.451973 0.793229 0.100681 0.313725 0.376471 0.215686
vn 0.007544 -0.492717 0.870157
v 0.588255 0.793211 0.217999 0.290196 0.454902 0.160784
vn -0.718856 0.618589 -0.317166
v 0.606677 0.794117 0.057956 0.219608 0.309804 0.137255
vn -0.915660 0.389848 -0.097906
v 0.606690 0.793229 0.054570 0.192157 0.274510 0.117647
vn -0.921505 0.249609 0.297528
v 0.470941 0.793229 0.116377 0.549020 0.615686 0.407843
vn -0.882755 0.261715 -0.390192
v 0.471196 0.793229 0.118917 0.403922 0.474510 0.286275
vn 0.824832 -0.539023 0.170602
v 0.618674 0.793229 0.174799 0.196078 0.262745 0.125490
vn -0.020531 -0.991510 0.128400
v 0.667759 0.791771 0.210505 0.196078 0.337255 0.133333
vn -0.795749 -0.559853 -0.230973
v 0.703295 0.790507 0.077430 0.168627 0.239216 0.105882
vn 0.189956 -0.981790 0.002492
v 0.708413 0.792791 0.169718 0.250980 0.423529 0.152941
vn 0.034141 -0.211386 -0.976806
v 0.417733 0.793229 0.193426 0.133333 0.196078 0.062745
vn 0.512809 -0.717845 -0.470878
v 0.675416 0.794237 0.052862 0.156863 0.239216 0.098039
vn -0.998613 0.004280 0.052481
v 0.606971 0.793229 0.047796 0.172549 0.250980 0.105882
vn 0.418026 -0.233756 -0.877845
v 0.424774 0.793229 0.194954 0.145098 0.207843 0.070588
vn 0.429377 -0.896800 -0.106703
v 0.660999 0.793703 0.035943 0.152941 0.231373 0.094118
vn 0.899329 -0.293057 0.324537
v 0.450952 0.793229 0.101984 0.286275 0.356863 0.196078
vn -0.746353 -0.646261 -0.159071
v 0.602470 0.793229 0.030863 0.164706 0.247059 0.105882
vn 0.823304 -0.333927 -0.458981
v 0.629233 0.793403 0.020702 0.227451 0.294118 0.164706
vn 0.002773 -0.907095 -0.420916
v 0.444069 0.793715 0.085050 0.196078 0.282353 0.125490
vn 0.444257 -0.247708 -0.860974
v 0.631365 0.793229 0.022776 0.227451 0.305882 0.160784
vn -0.601356 -0.772687 0.203286
v 0.415031 0.793561 0.146011 0.176471 0.262745 0.098039
vn -0.535271 -0.746865 0.394560
v 0.416308 0.794630 0.151091 0.180392 0.262745 0.098039
vn 0.839126 -0.166447 -0.517845
v 0.451886 0.796363 0.108423 0.298039 0.360784 0.200000
vn -0.079960 -0.078838 -0.993676
v 0.580564 0.793229 0.067603 0.219608 0.309804 0.141176
vn 0.951058 -0.215099 -0.221860
v 0.450799 0.793229 0.105371 0.270588 0.341176 0.180392
vn 0.015573 -0.158311 -0.987266
v 0.587139 0.793229 0.066604 0.192157 0.278431 0.121569
vn 0.658255 0.091101 -0.747263
v 0.455365 0.793229 0.112059 0.282353 0.349020 0.184314
vn 0.561370 0.033958 -0.826868
v 0.460073 0.793229 0.115531 0.274510 0.341176 0.176471
vn 0.030045 0.189500 -0.981421
v 0.593680 0.793229 0.068855 0.203922 0.294118 0.125490
vn -0.146952 -0.363161 -0.920065
v 0.536960 0.791426 0.073727 0.180392 0.266667 0.109804
vn -0.262497 -0.249026 -0.932245
v 0.562595 0.793045 0.070598 0.196078 0.290196 0.117647
vn 0.711377 0.029086 -0.702208
v 0.462730 0.793229 0.117988 0.266667 0.341176 0.172549
vn -0.543080 0.205891 -0.814047
v 0.597560 0.793229 0.067912 0.211765 0.305882 0.129412
vn -0.145474 -0.335654 -0.930685
v 0.572097 0.793229 0.067884 0.211765 0.301961 0.133333
vn -0.034857 -0.416397 -0.908514
v 0.549237 0.791695 0.072786 0.184314 0.270588 0.109804
vn 0.345185 0.149163 -0.926606
v 0.465415 0.793229 0.120370 0.258824 0.337255 0.168627
vn -0.248895 0.202768 -0.947067
v 0.468802 0.793229 0.120530 0.294118 0.368627 0.196078
vn -0.849314 -0.469025 0.242244
v 0.604982 0.793229 0.037636 0.160784 0.239216 0.101961
vn -0.180744 -0.184423 -0.966085
v 0.533150 0.793229 0.073877 0.176471 0.266667 0.105882
vn -0.399225 -0.370784 -0.838534
v 0.522159 0.793229 0.078277 0.176471 0.262745 0.105882
vn 0.147490 -0.561267 -0.814387
v 0.487429 0.793229 0.086052 0.180392 0.266667 0.109804
vn 0.434041 -0.797662 -0.418741
v 0.666945 0.793302 0.045937 0.152941 0.231373 0.094118
vn 0.113098 -0.439730 -0.890980
v 0.494202 0.793228 0.087275 0.180392 0.266667 0.109804
vn -0.085090 -0.350205 -0.932800
v 0.499282 0.793229 0.087449 0.180392 0.266667 0.109804
vn -0.253351 -0.285443 -0.924303
v 0.504363 0.793229 0.086491 0.180392 0.266667 0.109804
vn -0.929036 -0.299247 0.217586
v 0.605766 0.793229 0.041023 0.160784 0.239216 0.101961
vn -0.409020 -0.317047 -0.855677
v 0.510733 0.793229 0.084053 0.180392 0.266667 0.109804
vn -0.019862 -0.964673 -0.262702
v 0.441369 0.791656 0.091032 0.196078 0.282353 0.125490
vn -0.640647 0.402841 0.653674
v 0.464747 0.792920 0.110938 0.474510 0.513725 0.329412
vn 0.052583 -0.998107 0.031908
v 0.448482 0.790372 0.096904 0.219608 0.298039 0.141176
vn -0.123451 -0.879429 -0.459745
v 0.450175 0.792921 0.085868 0.196078 0.282353 0.129412
vn -0.712017 0.273919 -0.646529
v 0.601984 0.790816 0.060751 0.188235 0.270588 0.113725
vn -0.666208 0.248089 0.703291
v 0.469091 0.793229 0.113579 0.541176 0.592157 0.392157
vn -0.554285 0.761892 0.335096
v 0.468802 0.790833 0.115531 0.349020 0.419608 0.243137
vn -0.055525 -0.761356 -0.645952
v 0.462875 0.791687 0.084477 0.192157 0.278431 0.121569
vn -0.393860 0.791413 -0.467482
v 0.468802 0.790837 0.118917 0.282353 0.360784 0.188235
vn 0.073392 -0.699922 -0.710439
v 0.472215 0.792127 0.084151 0.184314 0.270588 0.113725
vn -0.257122 -0.962919 -0.081699
v 0.417864 0.792344 0.104872 0.188235 0.282353 0.117647
vn -0.490178 -0.871446 0.017503
v 0.411035 0.794386 0.124653 0.184314 0.274510 0.105882
vn -0.543382 -0.837346 0.059898
v 0.412339 0.793952 0.132464 0.180392 0.270588 0.101961
vn 0.010318 -0.699663 -0.714398
v 0.462028 0.795437 0.080484 0.184314 0.270588 0.117647
vn -0.159186 -0.981800 -0.103579
v 0.418366 0.793256 0.087929 0.203922 0.294118 0.133333
vn -0.067799 -0.948546 -0.309295
v 0.424775 0.793229 0.083441 0.203922 0.294118 0.133333
vn 0.036491 -0.961190 -0.273465
v 0.432307 0.793206 0.084961 0.200000 0.290196 0.129412
vn 0.154336 -0.638488 -0.753998
v 0.481056 0.792986 0.084837 0.180392 0.266667 0.109804
vn -0.382868 -0.472041 -0.794097
v 0.514509 0.789896 0.083895 0.180392 0.266667 0.105882
vn -0.593139 -0.792606 -0.141287
v 0.607658 0.789146 0.037636 0.164706 0.243137 0.105882
vn -0.422710 -0.377918 -0.823708
v 0.528010 0.786365 0.079002 0.180392 0.266667 0.109804
vn -0.390741 -0.917623 -0.072727
v 0.418001 0.790940 0.118917 0.180392 0.270588 0.105882
vn -0.123600 -0.984003 -0.128300
v 0.424774 0.791916 0.093576 0.196078 0.286275 0.125490
vn -0.532080 -0.845888 -0.036920
v 0.418001 0.790279 0.131823 0.176471 0.262745 0.098039
vn -0.067009 -0.974066 -0.216113
v 0.431548 0.791376 0.092807 0.196078 0.286275 0.125490
vn -0.635351 -0.771834 0.024518
v 0.418001 0.790262 0.139238 0.176471 0.262745 0.098039
vn -0.173791 -0.966141 -0.190704
v 0.431548 0.788905 0.106197 0.184314 0.274510 0.113725
vn -0.020797 -0.974744 -0.222355
v 0.438321 0.789037 0.101984 0.188235 0.274510 0.117647
vn -0.291502 -0.942388 -0.164108
v 0.425742 0.789133 0.112836 0.180392 0.266667 0.109804
vn 0.085089 -0.348065 0.933601
v 0.595090 0.791369 0.217782 0.203922 0.352941 0.137255
vn -0.950927 -0.011705 0.309193
v 0.442436 0.794968 0.200256 0.145098 0.200000 0.074510
vn -0.254236 -0.924183 0.285043
v 0.624134 0.794370 0.220618 0.160784 0.270588 0.090196
vn 0.079475 -0.896072 -0.436736
v 0.719809 0.794699 0.102110 0.168627 0.243137 0.101961
vn 0.439111 0.080184 -0.894847
v 0.718184 0.793795 0.068458 0.168627 0.247059 0.101961
vn -0.908824 -0.396902 0.128484
v 0.404818 0.793753 0.201164 0.094118 0.156863 0.035294
vn 0.656445 -0.675608 0.335608
v 0.720143 0.795864 0.080390 0.235294 0.309804 0.164706
vn -0.431792 0.073724 0.898955
v 0.549492 0.793413 0.232241 0.145098 0.192157 0.082353
vn 0.868031 -0.147648 0.474050
v 0.713025 0.793609 0.173173 0.231373 0.341176 0.145098
vn 0.001808 -0.038485 0.999258
v 0.604986 0.795936 0.216619 0.184314 0.298039 0.109804
vn -0.773477 0.520334 0.361920
v 0.443736 0.794254 0.203793 0.160784 0.219608 0.086275
vn -0.381193 -0.267183 0.885045
v 0.552309 0.793229 0.234066 0.145098 0.188235 0.078431
vn 0.051263 -0.942182 0.331158
v 0.630301 0.793740 0.222848 0.219608 0.372549 0.125490
vn 0.343654 -0.837016 -0.425800
v 0.722807 0.794140 0.101984 0.152941 0.211765 0.074510
vn 0.830663 -0.405818 -0.381196
v 0.619615 0.793963 0.180138 0.184314 0.258824 0.133333
vn -0.111221 -0.700837 -0.704598
v 0.623623 0.794042 0.008825 0.207843 0.258824 0.160784
vn 0.902387 -0.407410 0.140409
v 0.719841 0.791736 0.140570 0.164706 0.231373 0.113725
vn -0.053917 -0.801763 0.595205
v 0.513756 0.794303 0.226691 0.239216 0.345098 0.141176
vn -0.210867 0.263144 0.941430
v 0.543985 0.795100 0.229709 0.168627 0.211765 0.090196
vn 0.365648 -0.853007 0.372400
v 0.562235 0.794230 0.229077 0.137255 0.192157 0.090196
vn -0.190861 -0.867619 0.459140
v 0.552516 0.794773 0.235871 0.333333 0.525490 0.180392
vn 0.322686 -0.412000 -0.852132
v 0.689120 0.793475 0.077350 0.172549 0.254902 0.109804
vn -0.366469 -0.565843 0.738595
v 0.483196 0.793375 0.221203 0.235294 0.345098 0.149020
vn 0.160191 -0.586926 0.793635
v 0.671909 0.795182 0.214597 0.215686 0.388235 0.117647
vn -0.033988 0.534069 0.844757
v 0.606388 0.794551 0.217699 0.341176 0.533333 0.180392
vn -0.883460 -0.102190 0.457226
v 0.544568 0.795489 0.236431 0.211765 0.305882 0.117647
vn 0.342961 -0.652032 -0.676190
v 0.653565 0.795990 0.013278 0.141176 0.219608 0.070588
vn 0.425070 -0.679184 -0.598351
v 0.692386 0.793702 0.078105 0.168627 0.250980 0.105882
vn -0.350423 0.067529 0.934154
v 0.406147 0.794922 0.204290 0.098039 0.168627 0.047059
vn 0.531705 -0.411134 -0.740445
v 0.625600 0.794117 0.009349 0.207843 0.262745 0.168627
vn 0.769147 -0.316056 -0.555447
v 0.684364 0.795947 0.068952 0.172549 0.266667 0.117647
vn 0.227583 -0.959917 0.163603
v 0.561933 0.794793 0.235336 0.156863 0.227451 0.090196
vn -0.077253 -0.543933 -0.835565
v 0.622898 0.793713 0.183618 0.188235 0.278431 0.141176
vn 0.137370 -0.874229 0.465674
v 0.638138 0.794031 0.222298 0.117647 0.180392 0.066667
vn -0.063872 -0.781220 0.620979
v 0.622606 0.794191 0.218690 0.066667 0.121569 0.043137
vn -0.598488 0.418690 -0.683016
v 0.636445 0.791870 0.022142 0.325490 0.419608 0.235294
vn -0.217275 -0.581748 0.783812
v 0.660829 0.793437 0.215281 0.200000 0.349020 0.117647
vn 0.396190 -0.645738 0.652729
v 0.685501 0.795803 0.205197 0.141176 0.215686 0.098039
vn -0.048457 -0.818183 0.572912
v 0.521516 0.793746 0.225521 0.250980 0.368627 0.149020
vn 0.890062 -0.433149 0.142027
v 0.715539 0.793561 0.090278 0.141176 0.184314 0.082353
vn 0.052077 -0.997800 0.041029
v 0.635810 0.793352 0.220943 0.129412 0.203922 0.074510
vn 0.333306 -0.933836 0.129835
v 0.629952 0.793572 0.217715 0.290196 0.486275 0.168627
vn 0.444743 -0.296619 0.845116
v 0.596863 0.795043 0.217781 0.211765 0.396078 0.149020
vn 0.438948 -0.643849 0.626725
v 0.690633 0.794797 0.202854 0.164706 0.274510 0.117647
vn 0.871623 -0.198996 -0.447966
v 0.681812 0.796304 0.064883 0.168627 0.250980 0.105882
vn 0.480224 -0.768149 0.423476
v 0.693419 0.794641 0.199739 0.152941 0.258824 0.105882
vn 0.726103 -0.523150 -0.446193
v 0.685892 0.794197 0.072232 0.168627 0.270588 0.113725
vn -0.135745 -0.108180 0.984820
v 0.425440 0.796305 0.205488 0.145098 0.188235 0.070588
vn -0.065446 -0.726844 0.683678
v 0.625015 0.795504 0.226523 0.129412 0.200000 0.066667
vn 0.745393 -0.493583 -0.448068
v 0.720161 0.794962 0.072683 0.160784 0.247059 0.101961
vn 0.176945 -0.847753 -0.500005
v 0.697406 0.795049 0.082013 0.172549 0.258824 0.117647
vn 0.114393 -0.986014 0.121205
v 0.634839 0.794316 0.216414 0.270588 0.462745 0.145098
vn -0.425558 -0.811239 0.400987
v 0.550083 0.795766 0.233721 0.141176 0.184314 0.070588
vn 0.283948 -0.850056 0.443596
v 0.641111 0.794600 0.222655 0.117647 0.180392 0.070588
vn -0.807221 -0.403604 0.430694
v 0.405186 0.797438 0.203165 0.101961 0.172549 0.050980
vn 0.680603 -0.700756 -0.213823
v 0.659721 0.794521 0.023394 0.125490 0.203922 0.074510
vn -0.441600 -0.631822 0.637017
v 0.478697 0.794982 0.218319 0.176471 0.274510 0.105882
vn -0.190250 -0.917953 0.348091
v 0.579717 0.795088 0.215203 0.137255 0.196078 0.086275
vn -0.044235 -0.270205 0.961786
v 0.458218 0.794221 0.213402 0.141176 0.207843 0.058824
vn -0.207460 -0.707293 0.675794
v 0.476422 0.795415 0.217133 0.180392 0.278431 0.101961
vn 0.016885 0.164599 0.986216
v 0.408105 0.796229 0.202295 0.125490 0.180392 0.054902
vn -0.190808 -0.702150 0.685987
v 0.545983 0.795081 0.237897 0.219608 0.317647 0.121569
vn -0.546960 0.652369 -0.524642
v 0.641697 0.793693 0.020278 0.611765 0.768627 0.458824
vn -0.116821 0.169032 -0.978663
v 0.650974 0.796164 0.012414 0.145098 0.196078 0.082353
vn -0.871236 -0.490543 0.017773
v 0.544044 0.796652 0.233925 0.219608 0.313725 0.121569
vn -0.253242 -0.477285 -0.841468
v 0.618340 0.796218 0.008619 0.168627 0.262745 0.109804
vn 0.436913 -0.542636 -0.717393
v 0.650449 0.794812 0.012780 0.141176 0.203922 0.082353
vn 0.324036 -0.905865 0.272782
v 0.558673 0.793162 0.231526 0.145098 0.207843 0.082353
vn -0.202485 -0.946456 0.251440
v 0.624020 0.794616 0.223853 0.180392 0.294118 0.098039
vn 0.183399 -0.917266 0.353536
v 0.572888 0.794998 0.225241 0.145098 0.203922 0.090196
vn 0.346267 -0.936229 0.059783
v 0.569847 0.794527 0.216762 0.145098 0.203922 0.094118
vn 0.010895 0.893070 -0.449786
v 0.545165 0.794561 0.232398 0.184314 0.254902 0.101961
vn -0.090095 -0.362658 0.927557
v 0.637727 0.795563 0.223157 0.149020 0.235294 0.082353
vn -0.563728 0.485320 0.668338
v 0.611044 0.794332 0.216533 0.239216 0.400000 0.125490
vn 0.176152 -0.376090 -0.909685
v 0.714340 0.794922 0.068274 0.160784 0.239216 0.101961
vn -0.494531 -0.838405 -0.229166
v 0.601743 0.794399 0.223906 0.223529 0.337255 0.149020
vn 0.169852 -0.975446 0.140199
v 0.640466 0.795023 0.216480 0.258824 0.427451 0.133333
vn 0.252774 -0.965005 -0.069785
v 0.640466 0.794409 0.220097 0.164706 0.270588 0.098039
vn -0.374022 -0.741024 -0.557667
v 0.604271 0.794327 0.221759 0.227451 0.352941 0.141176
vn -0.268152 -0.702346 0.659397
v 0.601762 0.794823 0.225702 0.243137 0.352941 0.164706
vn 0.978572 -0.056742 -0.197931
v 0.628946 0.797564 0.016046 0.172549 0.231373 0.125490
vn 0.133860 -0.292681 0.946794
v 0.620358 0.796615 0.173435 0.176471 0.235294 0.113725
vn -0.964364 0.105128 -0.242796
v 0.611429 0.794922 0.218011 0.243137 0.396078 0.133333
vn -0.361627 -0.899299 -0.245941
v 0.699100 0.795420 0.080817 0.172549 0.258824 0.113725
vn 0.067273 -0.728223 0.682030
v 0.605033 0.794239 0.224500 0.243137 0.341176 0.156863
vn -0.733507 -0.341946 0.587402
v 0.423970 0.796615 0.161252 0.262745 0.345098 0.152941
vn 0.907406 -0.286858 0.307127
v 0.618487 0.796615 0.174798 0.168627 0.231373 0.105882
vn -0.073132 -0.854688 0.513965
v 0.584374 0.794727 0.219578 0.176471 0.266667 0.105882
vn -0.092202 0.156485 -0.983367
v 0.634752 0.793229 0.023590 0.301961 0.392157 0.219608
vn -0.560123 0.357650 0.747227
v 0.456992 0.792451 0.102705 0.474510 0.505882 0.337255
vn 0.084597 -0.991799 0.095801
v 0.575061 0.795440 0.217006 0.149020 0.196078 0.094118
vn 0.091826 -0.995735 0.008972
v 0.576331 0.794938 0.223483 0.152941 0.215686 0.094118
vn -0.709723 0.342896 0.615398
v 0.461221 0.794075 0.105371 0.784314 0.749020 0.560784
vn -0.207305 -0.620965 0.755928
v 0.611976 0.797452 0.225287 0.223529 0.305882 0.129412
vn -0.702219 -0.609420 0.368098
v 0.436649 0.794963 0.184159 0.188235 0.262745 0.101961
vn 0.618767 -0.457334 -0.638727
v 0.428161 0.796615 0.196478 0.152941 0.223529 0.082353
vn 0.089657 -0.795847 0.598824
v 0.615305 0.796620 0.224263 0.219608 0.305882 0.137255
vn -0.616717 0.215465 -0.757123
v 0.601317 0.794436 0.063046 0.223529 0.317647 0.137255
vn -0.551227 0.580243 -0.599555
v 0.604878 0.794137 0.060572 0.231373 0.329412 0.145098
vn -0.695563 -0.015643 0.718295
v 0.430662 0.794075 0.169671 0.215686 0.294118 0.117647
vn -0.863187 -0.229531 0.449692
v 0.433426 0.794922 0.172702 0.227451 0.305882 0.129412
vn -0.901760 -0.380631 0.204816
v 0.470832 0.795790 0.117120 0.537255 0.600000 0.396078
vn -0.077570 -0.948220 0.307997
v 0.479100 0.794777 0.135004 0.521569 0.643137 0.388235
vn 0.399086 -0.898149 -0.184553
v 0.661081 0.794562 0.028701 0.156863 0.235294 0.090196
vn 0.517375 -0.853120 0.067155
v 0.477269 0.794254 0.135005 0.400000 0.505882 0.286275
vn -0.407605 -0.912689 0.029265
v 0.480655 0.794500 0.136698 0.533333 0.654902 0.396078
vn 0.033479 -0.860975 -0.507544
v 0.479809 0.794242 0.138391 0.431373 0.541176 0.313725
vn 0.350208 -0.625243 -0.697442
v 0.655919 0.794075 0.015305 0.117647 0.188235 0.058824
vn 0.457746 -0.776614 -0.432827
v 0.620999 0.798434 0.178185 0.152941 0.192157 0.098039
vn -0.151052 -0.853380 0.498924
v 0.660954 0.795972 0.224292 0.223529 0.388235 0.152941
vn -0.048697 -0.236625 -0.970380
v 0.622357 0.795709 0.008605 0.184314 0.262745 0.129412
vn -0.496392 0.798857 -0.339740
v 0.645678 0.795444 0.016790 0.152941 0.227451 0.129412
vn -0.391798 0.786213 -0.477874
v 0.646585 0.796621 0.018748 0.419608 0.549020 0.364706
vn 0.361924 -0.318109 0.876252
v 0.699553 0.795313 0.194654 0.168627 0.270588 0.098039
vn 0.703644 0.057017 0.708261
v 0.499282 0.795769 0.223709 0.247059 0.364706 0.149020
vn -0.676152 -0.589562 0.441854
v 0.439071 0.795727 0.195486 0.156863 0.219608 0.082353
vn 0.876568 -0.346574 0.333939
v 0.702087 0.796362 0.192797 0.196078 0.294118 0.141176
vn -0.147626 -0.131578 0.980252
v 0.453666 0.795556 0.214922 0.172549 0.250980 0.094118
vn -0.515312 0.511689 -0.687479
v 0.642118 0.795943 0.021281 0.698039 0.843137 0.541176
vn 0.055259 -0.609888 -0.790559
v 0.710953 0.793280 0.068157 0.164706 0.231373 0.101961
vn -0.082756 -0.636880 0.766509
v 0.464081 0.797920 0.218448 0.227451 0.329412 0.129412
vn -0.252906 -0.377594 0.890764
v 0.464637 0.793866 0.214702 0.196078 0.301961 0.101961
vn -0.060063 -0.696756 0.714789
v 0.514946 0.796068 0.229095 0.278431 0.415686 0.149020
vn 0.408245 -0.892586 -0.191379
v 0.719251 0.795926 0.097462 0.192157 0.270588 0.121569
vn 0.753106 -0.311653 -0.579399
v 0.722474 0.794697 0.073975 0.137255 0.184314 0.074510
vn 0.989638 -0.099164 0.103841
v 0.722988 0.794922 0.075737 0.137255 0.180392 0.066667
vn -0.126727 -0.463355 0.877065
v 0.470354 0.797152 0.218955 0.207843 0.313725 0.121569
vn 0.857762 -0.146763 0.492652
v 0.710312 0.795779 0.179362 0.203922 0.309804 0.137255
vn -0.071400 -0.317697 0.945500
v 0.653517 0.796551 0.214032 0.192157 0.345098 0.121569
vn 0.471836 -0.293191 0.831510
v 0.644776 0.798463 0.223955 0.207843 0.337255 0.113725
vn -0.222090 -0.339778 0.913907
v 0.532867 0.794400 0.228538 0.203922 0.286275 0.137255
vn 0.304011 -0.384287 0.871723
v 0.633170 0.795504 0.224904 0.156863 0.266667 0.094118
vn 0.127186 -0.167770 0.977587
v 0.420766 0.796751 0.204566 0.125490 0.184314 0.047059
vn -0.590578 -0.419129 0.689601
v 0.410371 0.795923 0.203270 0.152941 0.196078 0.066667
vn -0.738807 -0.619007 0.266447
v 0.437484 0.795311 0.192475 0.156863 0.219608 0.078431
vn 0.950563 -0.275130 0.143989
v 0.723567 0.794833 0.125870 0.192157 0.290196 0.125490
vn -0.530843 -0.815579 0.230295
v 0.657473 0.796802 0.217825 0.258824 0.482353 0.137255
vn 0.763724 -0.641189 0.074849
v 0.716912 0.795462 0.087524 0.152941 0.231373 0.098039
vn 0.039043 -0.992745 0.113722
v 0.579876 0.795798 0.220593 0.145098 0.207843 0.094118
vn 0.178909 -0.978031 0.106987
v 0.579680 0.795854 0.227928 0.145098 0.203922 0.098039
vn 0.872743 -0.231754 0.429663
v 0.702315 0.796246 0.189615 0.172549 0.247059 0.133333
vn -0.684675 -0.542245 -0.487023
v 0.405277 0.795426 0.195293 0.105882 0.168627 0.035294
vn 0.858843 -0.141062 0.492432
v 0.700553 0.798732 0.195071 0.164706 0.247059 0.113725
vn 0.039106 -0.054078 0.997771
v 0.636048 0.797214 0.223044 0.207843 0.349020 0.129412
vn 0.947751 -0.259766 0.185173
v 0.722183 0.795769 0.133400 0.219608 0.325490 0.141176
vn 0.275185 -0.941939 0.192416
v 0.566170 0.796019 0.239146 0.235294 0.364706 0.125490
vn -0.480866 -0.168598 0.860432
v 0.546999 0.795674 0.231477 0.145098 0.188235 0.070588
vn -0.144235 -0.973705 -0.176340
v 0.547143 0.796396 0.232692 0.137255 0.180392 0.074510
vn 0.175022 -0.643719 0.744979
v 0.648357 0.795353 0.215052 0.239216 0.407843 0.133333
vn 0.853924 0.423572 0.302324
v 0.679953 0.797794 0.211967 0.121569 0.200000 0.086275
vn 0.656346 -0.465088 0.594057
v 0.682041 0.795354 0.207700 0.141176 0.219608 0.101961
vn -0.683299 -0.259554 0.682447
v 0.449042 0.794287 0.212428 0.137255 0.207843 0.066667
vn 0.694776 -0.646394 0.315376
v 0.696552 0.796713 0.199113 0.188235 0.294118 0.133333
vn 0.910199 0.097026 -0.402646
v 0.628394 0.798573 0.012535 0.133333 0.180392 0.101961
vn -0.344649 -0.435946 0.831365
v 0.460272 0.796847 0.215386 0.176471 0.270588 0.086275
vn -0.246492 -0.014951 0.969030
v 0.485558 0.800002 0.223784 0.223529 0.352941 0.137255
vn -0.287445 -0.859003 0.423662
v 0.577933 0.796615 0.230679 0.152941 0.211765 0.105882
vn 0.971519 0.011713 0.236671
v 0.716239 0.794380 0.159385 0.258824 0.388235 0.168627
vn 0.877763 -0.473478 -0.073146
v 0.724628 0.796239 0.102978 0.200000 0.309804 0.133333
vn 0.380202 -0.539495 0.751260
v 0.692903 0.798629 0.203843 0.129412 0.203922 0.090196
vn -0.079914 -0.397100 0.914290
v 0.491278 0.795756 0.223895 0.274510 0.423529 0.164706
vn -0.070369 -0.955779 0.285543
v 0.660681 0.796701 0.219642 0.164706 0.301961 0.090196
vn -0.224821 -0.746803 0.625892
v 0.545003 0.797149 0.230204 0.156863 0.196078 0.078431
vn -0.170826 -0.862956 0.475527
v 0.557549 0.796666 0.241607 0.266667 0.400000 0.141176
vn -0.997849 -0.059426 -0.027666
v 0.404335 0.796615 0.198501 0.105882 0.164706 0.035294
vn 0.908278 0.295465 0.296193
v 0.714652 0.794501 0.170147 0.247059 0.352941 0.149020
vn -0.071177 -0.690877 0.719460
v 0.408688 0.796269 0.207964 0.125490 0.168627 0.058824
vn 0.324584 -0.940935 0.096372
v 0.662345 0.796698 0.222353 0.223529 0.368627 0.152941
vn 0.532133 -0.807926 -0.253159
v 0.723704 0.796455 0.099318 0.215686 0.309804 0.133333
vn 0.411696 -0.199081 0.889310
v 0.630119 0.797250 0.226274 0.184314 0.305882 0.105882
vn -0.114837 -0.992549 0.040725
v 0.410381 0.795977 0.206126 0.149020 0.192157 0.070588
vn 0.447662 -0.890947 0.076245
v 0.548317 0.795457 0.235742 0.227451 0.329412 0.125490
vn 0.452049 -0.810534 0.372406
v 0.646668 0.796678 0.217970 0.200000 0.352941 0.113725
vn -0.033878 -0.920898 0.388328
v 0.555251 0.795957 0.238291 0.333333 0.494118 0.172549
vn 0.569207 -0.648550 0.505359
v 0.645245 0.797098 0.222650 0.160784 0.254902 0.094118
vn 0.090775 -0.935586 -0.341230
v 0.694359 0.795440 0.076296 0.172549 0.254902 0.109804
vn 0.576298 -0.536506 0.616476
v 0.677115 0.796053 0.214196 0.258824 0.349020 0.184314
vn -0.403583 -0.897314 0.178743
v 0.659725 0.797033 0.222014 0.392157 0.627451 0.274510
vn 0.425280 -0.902589 0.066864
v 0.718443 0.796624 0.087758 0.152941 0.231373 0.101961
vn 0.426392 -0.055088 -0.902859
v 0.634752 0.799759 0.024089 0.270588 0.360784 0.192157
vn -0.755989 -0.416489 -0.504992
v 0.605486 0.798286 0.020672 0.313725 0.466667 0.207843
vn 0.670880 -0.629059 -0.392690
v 0.661828 0.796504 0.025157 0.121569 0.200000 0.058824
vn 0.869246 -0.250598 -0.426160
v 0.431328 0.796615 0.200199 0.145098 0.207843 0.074510
vn -0.822861 -0.551628 -0.136408
v 0.599525 0.796615 0.224587 0.211765 0.321569 0.141176
vn -0.739659 -0.401566 -0.540045
v 0.603070 0.797462 0.024004 0.180392 0.278431 0.109804
vn -0.918440 -0.176103 0.354198
v 0.435145 0.796615 0.184150 0.168627 0.243137 0.090196
vn -0.469212 -0.505547 -0.724060
v 0.609351 0.795757 0.220009 0.262745 0.411765 0.145098
vn -0.432962 0.375092 0.819664
v 0.455602 0.797054 0.098761 0.725490 0.713725 0.564706
vn 0.783569 -0.225256 0.579033
v 0.431548 0.798309 0.204255 0.145098 0.203922 0.074510
vn -0.494464 -0.658768 0.567036
v 0.421388 0.796615 0.158889 0.215686 0.298039 0.121569
vn -0.547847 -0.497620 -0.672486
v 0.406147 0.797462 0.192969 0.105882 0.176471 0.043137
vn -0.810553 -0.581186 0.072295
v 0.611275 0.796926 0.217133 0.203922 0.341176 0.113725
vn 0.040320 -0.848736 0.527278
v 0.582257 0.796615 0.223314 0.156863 0.223529 0.098039
vn -0.072099 -0.899417 0.431104
v 0.542463 0.796686 0.232078 0.231373 0.341176 0.137255
vn -0.013353 -0.500553 0.865603
v 0.608505 0.794390 0.223966 0.243137 0.337255 0.156863
vn -0.758136 -0.002307 0.652093
v 0.424775 0.796615 0.162693 0.282353 0.364706 0.168627
vn 0.036370 -0.181748 -0.982672
v 0.601106 0.798900 0.063277 0.278431 0.388235 0.176471
vn -0.030719 0.361281 -0.931951
v 0.603424 0.797435 0.063585 0.286275 0.396078 0.180392
vn 0.029950 -0.517915 0.854908
v 0.589877 0.795505 0.218698 0.313725 0.498039 0.172549
vn -0.854853 -0.457727 -0.244361
v 0.624854 0.795350 0.179879 0.188235 0.262745 0.133333
vn -0.794183 0.206729 0.571434
v 0.426758 0.795769 0.165827 0.282353 0.364706 0.164706
vn 0.778259 -0.608467 -0.155180
v 0.667052 0.796442 0.029169 0.329412 0.458824 0.211765
vn 0.032314 -0.249489 0.967838
v 0.601731 0.796615 0.226470 0.250980 0.360784 0.176471
vn 0.839715 -0.519594 -0.157798
v 0.680571 0.797250 0.059808 0.164706 0.254902 0.105882
vn -0.734304 -0.172559 0.656522
v 0.465850 0.795769 0.111607 0.592157 0.611765 0.415686
vn -0.381914 -0.852339 -0.357296
v 0.698104 0.796124 0.071080 0.168627 0.254902 0.109804
vn -0.749014 -0.302614 0.589408
v 0.469231 0.795769 0.114121 0.521569 0.576471 0.380392
vn -0.242626 -0.810937 -0.532460
v 0.706684 0.796670 0.063739 0.152941 0.235294 0.098039
vn -0.237769 -0.336236 -0.911269
v 0.595123 0.796615 0.068586 0.321569 0.435294 0.203922
vn -0.698202 -0.191879 0.689707
v 0.622966 0.796020 0.174706 0.184314 0.247059 0.121569
vn 0.064246 -0.209958 -0.975597
v 0.574637 0.795938 0.067212 0.278431 0.372549 0.180392
vn -0.118200 -0.198049 -0.973039
v 0.581411 0.796615 0.067849 0.290196 0.388235 0.192157
vn -0.392940 -0.354934 -0.848304
v 0.584861 0.796125 0.066652 0.243137 0.333333 0.152941
vn -0.080495 -0.931118 0.355724
v 0.620358 0.795273 0.222213 0.125490 0.200000 0.074510
vn -0.276295 -0.953165 -0.123036
v 0.697832 0.795468 0.074255 0.172549 0.258824 0.109804
vn 0.614201 -0.507034 -0.604710
v 0.666391 0.796615 0.027476 0.407843 0.560784 0.262745
vn 0.376012 -0.906442 -0.192295
v 0.665232 0.795295 0.029169 0.227451 0.329412 0.141176
vn 0.248745 0.095721 -0.963827
v 0.419694 0.796615 0.193630 0.149020 0.223529 0.074510
vn 0.131666 -0.706223 -0.695639
v 0.587961 0.796604 0.064719 0.207843 0.298039 0.129412
vn 0.233674 -0.437472 -0.868340
v 0.414614 0.796615 0.192275 0.137255 0.207843 0.062745
vn -0.420164 -0.237070 -0.875934
v 0.522469 0.798291 0.076314 0.180392 0.270588 0.105882
vn -0.900883 0.399954 0.168663
v 0.607658 0.796627 0.047813 0.184314 0.266667 0.113725
vn -0.320102 -0.282446 -0.904300
v 0.529037 0.796615 0.074112 0.180392 0.270588 0.109804
vn 0.481474 -0.833613 -0.270690
v 0.665224 0.795159 0.039608 0.152941 0.227451 0.094118
vn 0.553065 0.261115 0.791163
v 0.451868 0.796615 0.098511 0.360784 0.415686 0.258824
vn 0.984933 -0.070686 0.157833
v 0.450471 0.796615 0.101984 0.313725 0.376471 0.219608
vn 0.968774 -0.144398 -0.201558
v 0.450850 0.796615 0.105371 0.305882 0.368627 0.207843
vn 0.117855 -0.028541 -0.992621
v 0.497589 0.796615 0.086799 0.184314 0.270588 0.109804
vn -0.250781 -0.410409 -0.876740
v 0.468802 0.796615 0.120025 0.352941 0.427451 0.247059
vn 0.276327 -0.463196 -0.842076
v 0.487523 0.796630 0.084072 0.180392 0.262745 0.109804
vn -0.158615 0.140079 -0.977353
v 0.502669 0.796615 0.086775 0.184314 0.274510 0.113725
vn -0.434341 0.021181 -0.900499
v 0.507749 0.796615 0.084834 0.184314 0.274510 0.113725
vn 0.138426 -0.082678 -0.986916
v 0.424774 0.796615 0.194763 0.156863 0.231373 0.082353
vn 0.657791 -0.714628 -0.237945
v 0.679114 0.796473 0.054286 0.160784 0.243137 0.101961
vn -0.506465 -0.855611 0.106879
v 0.407256 0.798817 0.146711 0.180392 0.266667 0.098039
vn -0.207972 -0.266365 -0.941168
v 0.537989 0.798527 0.070988 0.192157 0.282353 0.113725
vn -0.421823 -0.860426 0.285889
v 0.412950 0.796938 0.152102 0.176471 0.258824 0.098039
vn 0.613358 -0.225403 -0.756958
v 0.455506 0.796615 0.112144 0.321569 0.380392 0.211765
vn 0.359278 -0.365028 -0.858879
v 0.458642 0.796615 0.114448 0.317647 0.376471 0.207843
vn 0.479232 -0.549015 -0.684777
v 0.462028 0.795272 0.115531 0.325490 0.388235 0.215686
vn 0.976822 -0.203146 0.067453
v 0.724423 0.796248 0.120619 0.196078 0.301961 0.121569
vn -0.214718 -0.787775 0.577328
v 0.621393 0.796520 0.225908 0.109804 0.176471 0.070588
vn -0.415008 -0.296824 0.860037
v 0.659654 0.798521 0.224156 0.396078 0.607843 0.258824
vn 0.178191 -0.982682 -0.050838
v 0.721787 0.797505 0.090421 0.188235 0.298039 0.133333
vn 0.059726 -0.980088 -0.189367
v 0.723759 0.797734 0.089022 0.156863 0.247059 0.101961
vn 0.631671 -0.536038 -0.560050
v 0.719714 0.797116 0.068755 0.160784 0.247059 0.101961
vn 0.534208 0.026601 -0.844934
v 0.624591 0.796615 0.008180 0.160784 0.223529 0.117647
vn 0.709044 -0.229947 0.666619
v 0.705588 0.797009 0.185950 0.176471 0.282353 0.121569
vn 0.876218 0.046759 0.479641
v 0.702032 0.797674 0.193582 0.188235 0.274510 0.137255
vn 0.600893 -0.797371 -0.055920
v 0.725533 0.798153 0.089495 0.164706 0.247059 0.113725
vn 0.554745 -0.355115 0.752430
v 0.419694 0.797938 0.205486 0.125490 0.176471 0.047059
vn -0.531260 -0.672950 0.514685
v 0.656392 0.797346 0.216544 0.235294 0.431373 0.137255
vn -0.080665 -0.373946 0.923936
v 0.541155 0.795337 0.230266 0.200000 0.282353 0.113725
vn 0.976529 -0.145997 0.158356
v 0.721639 0.796853 0.077490 0.223529 0.298039 0.145098
vn -0.358797 -0.341364 0.868755
v 0.482476 0.795841 0.222245 0.262745 0.403922 0.164706
vn 0.723605 -0.493281 -0.482773
v 0.657509 0.796211 0.016998 0.090196 0.152941 0.035294
vn -0.525017 0.619793 -0.583278
v 0.651179 0.799472 0.017521 0.137255 0.200000 0.137255
vn 0.142598 -0.826286 -0.544901
v 0.710953 0.796422 0.062738 0.156863 0.239216 0.101961
vn 0.947522 -0.216416 0.235301
v 0.720205 0.795821 0.145062 0.247059 0.368627 0.164706
vn 0.563030 -0.675851 -0.475628
v 0.712312 0.797022 0.062744 0.160784 0.247059 0.109804
vn 0.091716 -0.883058 0.460215
v 0.563800 0.796334 0.240601 0.192157 0.305882 0.109804
vn 0.327761 -0.741617 0.585300
v 0.666613 0.797517 0.218220 0.192157 0.325490 0.152941
vn -0.678215 -0.523027 0.516205
v 0.657643 0.798759 0.222957 0.372549 0.588235 0.258824
vn 0.564529 -0.665245 0.488627
v 0.696584 0.796586 0.201962 0.156863 0.258824 0.101961
vn -0.538576 -0.835610 0.108128
v 0.404901 0.797750 0.205413 0.125490 0.172549 0.062745
vn -0.967430 -0.249761 0.041210
v 0.436199 0.797240 0.189901 0.145098 0.215686 0.082353
vn 0.710655 -0.630637 -0.311875
v 0.661433 0.798375 0.019644 0.121569 0.203922 0.062745
vn 0.022281 -0.894368 0.446778
v 0.548601 0.796386 0.238978 0.286275 0.447059 0.164706
vn -0.528761 -0.517976 -0.672393
v 0.610068 0.797467 0.010854 0.129412 0.219608 0.070588
vn -0.135827 -0.502414 0.853892
v 0.500434 0.794002 0.222472 0.200000 0.282353 0.125490
vn 0.299208 -0.657178 -0.691803
v 0.715438 0.797516 0.066653 0.152941 0.235294 0.098039
vn -0.067542 -0.467425 0.881449
v 0.639408 0.796192 0.224310 0.133333 0.211765 0.078431
vn -0.080989 -0.449070 0.889818
v 0.412932 0.796105 0.205673 0.149020 0.188235 0.066667
vn 0.180949 -0.230050 -0.956208
v 0.655115 0.798262 0.012329 0.133333 0.184314 0.078431
vn 0.978922 -0.203639 0.015558
v 0.724862 0.797865 0.115795 0.239216 0.352941 0.145098
vn 0.056294 -0.900342 0.431528
v 0.618053 0.797065 0.226439 0.109804 0.172549 0.066667
vn -0.131438 -0.899694 0.416262
v 0.615183 0.797462 0.228213 0.156863 0.243137 0.086275
vn 0.321255 -0.389859 0.863021
v 0.662684 0.797885 0.224822 0.294118 0.474510 0.196078
vn 0.131486 -0.598354 0.790370
v 0.416379 0.796104 0.206038 0.129412 0.176471 0.050980
vn -0.767044 -0.266841 0.583472
v 0.438713 0.799119 0.197495 0.156863 0.227451 0.090196
vn 0.291186 -0.950999 -0.103980
v 0.720266 0.797286 0.092670 0.152941 0.231373 0.098039
vn 0.105259 -0.645935 0.756101
v 0.674748 0.797180 0.217796 0.309804 0.619608 0.317647
vn 0.147748 -0.984180 0.097776
v 0.583536 0.796510 0.231581 0.133333 0.192157 0.082353
vn 0.116549 -0.910061 0.397751
v 0.584993 0.797772 0.234711 0.137255 0.207843 0.074510
vn 0.278657 -0.810227 -0.515638
v 0.689761 0.796701 0.073163 0.156863 0.243137 0.105882
vn 0.955725 0.078550 0.283583
v 0.701851 0.799603 0.191415 0.192157 0.274510 0.133333
vn 0.372562 -0.827272 0.420498
v 0.568710 0.798955 0.229833 0.152941 0.235294 0.086275
vn 0.244918 -0.543460 0.802911
v 0.670414 0.798838 0.218064 0.266667 0.619608 0.388235
vn -0.536986 0.364290 -0.760880
v 0.647584 0.800002 0.021583 0.490196 0.603922 0.392157
vn -0.062612 0.233502 0.970338
v 0.423081 0.798309 0.204563 0.137255 0.188235 0.058824
vn 0.739825 -0.508788 0.440220
v 0.678168 0.799215 0.213746 0.286275 0.388235 0.207843
vn 0.789818 -0.199950 0.579834
v 0.698718 0.800942 0.201463 0.160784 0.262745 0.105882
vn -0.800698 -0.300108 0.518476
v 0.444626 0.799158 0.204082 0.129412 0.176471 0.074510
vn 0.846171 -0.504875 -0.170576
v 0.722202 0.799242 0.072853 0.168627 0.243137 0.109804
vn -0.561228 -0.601771 0.568239
v 0.544344 0.800081 0.238752 0.156863 0.219608 0.086275
vn -0.482932 0.560276 -0.672954
v 0.654431 0.799004 0.012822 0.156863 0.211765 0.109804
vn 0.444869 -0.680473 0.582279
v 0.629360 0.799744 0.227891 0.184314 0.301961 0.109804
vn -0.193514 -0.670478 0.716248
v 0.475910 0.796150 0.219299 0.219608 0.345098 0.129412
vn 0.345383 -0.933059 -0.100557
v 0.570058 0.797707 0.239146 0.164706 0.250980 0.090196
vn 0.937740 -0.169828 -0.302988
v 0.721539 0.797341 0.073679 0.156863 0.243137 0.094118
vn 0.276258 -0.208264 0.938247
v 0.676557 0.799473 0.218577 0.274510 0.552941 0.290196
vn 0.809779 -0.138265 0.570211
v 0.707974 0.798003 0.184130 0.180392 0.266667 0.117647
vn 0.198173 -0.406530 0.891886
v 0.599581 0.795990 0.217020 0.196078 0.345098 0.137255
vn 0.192984 -0.873344 -0.447244
v 0.573367 0.799538 0.237049 0.149020 0.235294 0.082353
vn -0.745799 0.022226 0.665800
v 0.448275 0.797718 0.209543 0.145098 0.188235 0.074510
vn -0.180376 -0.707840 0.682954
v 0.550930 0.797846 0.242749 0.239216 0.360784 0.129412
vn -0.346445 0.394048 -0.851294
v 0.640651 0.798692 0.024255 0.647059 0.780392 0.486275
vn -0.070713 -0.583420 0.809086
v 0.527310 0.796641 0.228844 0.211765 0.321569 0.137255
vn -0.590132 0.666789 -0.455122
v 0.649145 0.798028 0.019009 0.301961 0.415686 0.286275
vn 0.877492 -0.479218 -0.018914
v 0.724431 0.797102 0.112567 0.266667 0.396078 0.164706
vn 0.121999 -0.690458 0.713011
v 0.651897 0.799448 0.215913 0.192157 0.333333 0.125490
vn 0.388505 -0.650387 0.652733
v 0.687220 0.801324 0.209755 0.168627 0.270588 0.109804
vn 0.970675 -0.168639 0.171319
v 0.722166 0.800159 0.137802 0.250980 0.396078 0.168627
vn 0.210723 -0.786578 0.580423
v 0.572283 0.798687 0.240805 0.196078 0.313725 0.105882
vn 0.297064 -0.741999 0.600991
v 0.618244 0.799040 0.230120 0.180392 0.294118 0.101961
vn -0.402504 -0.718445 0.567298
v 0.575484 0.798374 0.229777 0.243137 0.372549 0.121569
vn -0.284236 -0.767909 0.574043
v 0.407938 0.797938 0.202770 0.125490 0.176471 0.058824
vn -0.125280 -0.992085 -0.008511
v 0.407377 0.798192 0.203586 0.133333 0.172549 0.058824
vn 0.967457 -0.192207 0.164570
v 0.721460 0.797092 0.140225 0.250980 0.400000 0.160784
vn 0.027568 -0.644916 0.763756
v 0.416402 0.797462 0.207929 0.121569 0.172549 0.047059
vn 0.473183 -0.421877 0.773381
v 0.584269 0.798309 0.223252 0.172549 0.278431 0.105882
vn -0.394958 0.425961 -0.813981
v 0.605794 0.797462 0.063239 0.305882 0.415686 0.192157
vn -0.721109 0.399535 -0.566015
v 0.608402 0.797453 0.061173 0.305882 0.419608 0.203922
vn 0.126030 -0.539638 0.832411
v 0.590618 0.798844 0.221021 0.160784 0.262745 0.101961
vn -0.446728 -0.850753 0.276865
v 0.460096 0.797787 0.219100 0.188235 0.278431 0.113725
vn -0.003164 -0.813138 0.582063
v 0.605590 0.798243 0.217687 0.176471 0.294118 0.098039
vn -0.269256 -0.424231 0.864598
v 0.610198 0.796849 0.215968 0.172549 0.301961 0.098039
vn 0.120968 -0.971687 0.202958
v 0.576759 0.798242 0.239156 0.239216 0.396078 0.113725
vn -0.598457 -0.378657 -0.706023
v 0.598316 0.796615 0.065991 0.313725 0.427451 0.192157
vn -0.264747 -0.069229 0.961830
v 0.455255 0.800002 0.097494 0.701961 0.701961 0.564706
vn -0.185919 -0.727028 -0.660957
v 0.597888 0.799452 0.063548 0.286275 0.396078 0.176471
vn -0.814242 -0.169476 0.555237
v 0.430586 0.799516 0.172317 0.211765 0.286275 0.109804
vn -0.315998 -0.230995 -0.920210
v 0.567864 0.797835 0.067487 0.258824 0.356863 0.164706
vn -0.148410 -0.765338 0.626284
v 0.621205 0.798625 0.174442 0.164706 0.215686 0.105882
vn 0.665836 -0.738416 0.106791
v 0.619562 0.798309 0.175415 0.160784 0.211765 0.098039
vn -0.445911 -0.731875 -0.515289
v 0.703006 0.800410 0.060413 0.156863 0.243137 0.101961
vn -0.948140 -0.039327 0.315410
v 0.433217 0.797462 0.176061 0.203922 0.282353 0.101961
vn 0.557060 -0.830465 0.003451
v 0.682173 0.799129 0.054570 0.160784 0.247059 0.101961
vn 0.056861 -0.255109 -0.965239
v 0.578024 0.797462 0.067508 0.290196 0.388235 0.196078
vn -0.961141 -0.011578 -0.275816
v 0.404837 0.799155 0.194272 0.105882 0.180392 0.039216
vn -0.096662 -0.872641 -0.478701
v 0.695250 0.799546 0.066248 0.168627 0.250980 0.109804
vn -0.139736 -0.550828 -0.822838
v 0.412709 0.794839 0.193137 0.125490 0.188235 0.054902
vn -0.321231 -0.939928 0.115528
v 0.622051 0.798994 0.176492 0.164706 0.211765 0.105882
vn 0.428881 -0.846984 -0.314133
v 0.588032 0.798799 0.228986 0.145098 0.227451 0.090196
vn 0.766280 -0.608944 -0.204942
v 0.668516 0.799266 0.031664 0.180392 0.262745 0.109804
vn -0.859330 0.509444 -0.044919
v 0.610157 0.799929 0.052090 0.254902 0.352941 0.156863
vn 0.630712 -0.775322 -0.032821
v 0.666925 0.797210 0.034249 0.160784 0.239216 0.098039
vn -0.304353 0.036726 -0.951851
v 0.561170 0.796791 0.071160 0.247059 0.349020 0.149020
vn 0.362814 -0.921602 0.137897
v 0.591859 0.799184 0.233643 0.188235 0.294118 0.101961
vn -0.393929 -0.837866 -0.377889
v 0.622898 0.798337 0.178829 0.168627 0.223529 0.113725
vn -0.485985 0.834896 0.258393
v 0.430288 0.798309 0.162289 0.521569 0.623529 0.345098
vn 0.457344 -0.385872 -0.801211
v 0.590724 0.796615 0.067428 0.219608 0.313725 0.133333
vn -0.485220 -0.129400 -0.864764
v 0.564481 0.797608 0.069278 0.254902 0.356863 0.156863
vn -0.893698 -0.087631 0.440029
v 0.464710 0.797462 0.108757 0.666667 0.654902 0.439216
vn 0.321338 -0.870702 0.372316
v 0.590724 0.798899 0.235760 0.266667 0.407843 0.133333
vn -0.149782 -0.840181 -0.521212
v 0.706806 0.799416 0.059627 0.152941 0.239216 0.098039
vn -0.726766 0.682586 -0.076732
v 0.431300 0.798568 0.165485 0.482353 0.580392 0.298039
vn 0.143956 -0.513728 -0.845790
v 0.593264 0.798172 0.068017 0.317647 0.431373 0.200000
vn -0.854467 0.505595 -0.119413
v 0.429661 0.798506 0.168025 0.337255 0.423529 0.200000
vn -0.884686 -0.106876 0.453772
v 0.429719 0.797659 0.169746 0.266667 0.349020 0.149020
vn -0.447285 -0.732771 0.512818
v 0.467565 0.798309 0.113837 0.490196 0.549020 0.349020
vn -0.002735 -0.715702 0.698400
v 0.599070 0.799488 0.227251 0.223529 0.325490 0.152941
vn 0.530904 -0.521959 -0.667607
v 0.464777 0.796953 0.119131 0.298039 0.372549 0.200000
vn -0.219741 -0.806631 -0.548690
v 0.468199 0.798196 0.118917 0.384314 0.454902 0.270588
vn -0.839227 0.514967 -0.174663
v 0.609110 0.796962 0.058803 0.278431 0.384314 0.176471
vn 0.650890 -0.670726 -0.355624
v 0.583703 0.797860 0.226174 0.149020 0.215686 0.094118
vn -0.833157 -0.347835 -0.429954
v 0.470888 0.795769 0.118917 0.501961 0.564706 0.364706
vn -0.318283 -0.931191 -0.177708
v 0.608928 0.797806 0.217979 0.219608 0.360784 0.121569
vn 0.332105 0.760388 0.558136
v 0.426893 0.798093 0.161841 0.376471 0.462745 0.235294
vn -0.581688 0.798598 0.154531
v 0.428161 0.797224 0.166332 0.329412 0.415686 0.196078
vn -0.233862 -0.804923 0.545351
v 0.611001 0.800730 0.231138 0.192157 0.329412 0.133333
vn 0.735045 -0.539047 -0.411263
v 0.682532 0.799048 0.064687 0.164706 0.243137 0.101961
vn -0.564899 -0.631837 0.530727
v 0.460432 0.798765 0.216139 0.180392 0.278431 0.098039
vn -0.446818 -0.457926 0.768542
v 0.548092 0.799386 0.242455 0.160784 0.227451 0.094118
vn -0.662300 -0.705940 0.251012
v 0.458735 0.800642 0.219258 0.247059 0.376471 0.160784
vn -0.245158 -0.355030 0.902137
v 0.480068 0.800425 0.222086 0.200000 0.313725 0.098039
vn 0.601559 -0.456059 0.655849
v 0.668558 0.799747 0.220882 0.278431 0.705882 0.470588
vn 0.612810 -0.553147 -0.564351
v 0.713772 0.801233 0.061983 0.141176 0.211765 0.086275
vn -0.248830 -0.536607 0.806310
v 0.509443 0.798310 0.229832 0.301961 0.462745 0.188235
vn 0.653136 -0.196426 0.731321
v 0.630567 0.799621 0.225112 0.188235 0.313725 0.125490
vn 0.212446 -0.683962 0.697898
v 0.568710 0.799155 0.242878 0.180392 0.290196 0.098039
vn -0.152274 -0.435527 0.887203
v 0.614431 0.800849 0.232816 0.192157 0.325490 0.113725
vn 0.405287 -0.715236 -0.569368
v 0.684903 0.798976 0.066874 0.168627 0.254902 0.109804
vn 0.958703 -0.284407 0.001034
v 0.725476 0.797995 0.107487 0.219608 0.333333 0.137255
vn -0.033666 -0.500675 0.864980
v 0.515737 0.798294 0.230686 0.235294 0.368627 0.145098
vn 0.196328 -0.678577 -0.707805
v 0.715611 0.799842 0.064572 0.152941 0.247059 0.101961
vn 0.725578 -0.068002 0.684772
v 0.706283 0.799685 0.186521 0.231373 0.356863 0.137255
vn -0.159720 -0.054124 0.985677
v 0.456010 0.800375 0.215241 0.125490 0.184314 0.050980
vn 0.676580 -0.596068 0.432368
v 0.677340 0.798153 0.216851 0.290196 0.482353 0.243137
vn 0.536504 -0.626901 0.564942
v 0.647717 0.799533 0.221588 0.270588 0.454902 0.168627
vn -0.263673 -0.587009 0.765439
v 0.448192 0.799016 0.210083 0.149020 0.196078 0.078431
vn -0.994518 0.073959 0.073913
v 0.404993 0.799129 0.200860 0.113725 0.176471 0.054902
vn 0.137450 -0.679535 0.720652
v 0.620381 0.798594 0.227293 0.117647 0.188235 0.078431
vn -0.090681 -0.665854 0.740550
v 0.556088 0.799151 0.244224 0.207843 0.317647 0.098039
vn -0.923692 0.378446 0.059761
v 0.436623 0.799020 0.186303 0.152941 0.215686 0.070588
vn -0.161806 -0.637679 0.753117
v 0.532715 0.800098 0.231529 0.200000 0.317647 0.141176
vn -0.080642 -0.877073 0.473541
v 0.602260 0.799170 0.219371 0.180392 0.294118 0.105882
vn -0.071936 -0.296020 0.952469
v 0.496637 0.799699 0.225272 0.254902 0.415686 0.141176
vn -0.577278 -0.548500 -0.604896
v 0.600223 0.799943 0.223192 0.192157 0.309804 0.125490
vn 0.037509 -0.756599 0.652803
v 0.571778 0.798266 0.228180 0.172549 0.258824 0.098039
vn -0.144214 0.270507 -0.951855
v 0.620993 0.801219 0.008329 0.117647 0.196078 0.074510
vn -0.358363 -0.762992 0.537978
v 0.540846 0.799155 0.234066 0.247059 0.376471 0.149020
vn 0.069999 -0.654557 0.752765
v 0.560667 0.798474 0.243898 0.192157 0.305882 0.105882
vn 0.940937 0.270506 0.203628
v 0.714372 0.797885 0.162945 0.211765 0.313725 0.141176
vn 0.936237 0.175313 0.304509
v 0.711925 0.797427 0.174080 0.247059 0.356863 0.152941
vn -0.589886 -0.760703 0.270860
v 0.577177 0.800170 0.234066 0.239216 0.396078 0.105882
vn 0.202217 -0.554644 0.807142
v 0.576454 0.800463 0.241082 0.239216 0.388235 0.113725
vn -0.484835 -0.858180 -0.168707
v 0.577745 0.799623 0.236066 0.203922 0.329412 0.094118
vn -0.027658 -0.951744 0.305645
v 0.579795 0.798616 0.236919 0.160784 0.250980 0.078431
vn -0.313050 -0.894060 -0.320401
v 0.605537 0.798457 0.218927 0.184314 0.301961 0.105882
vn 0.832240 -0.550205 0.068195
v 0.725533 0.799044 0.093887 0.176471 0.254902 0.117647
vn -0.751467 -0.645900 -0.134575
v 0.649609 0.799428 0.007743 0.137255 0.211765 0.070588
vn 0.834504 0.040587 0.549506
v 0.702424 0.801484 0.189857 0.172549 0.250980 0.109804
vn 0.134858 -0.581243 0.802478
v 0.594609 0.799677 0.221315 0.160784 0.266667 0.101961
vn -0.195178 -0.800034 0.567320
v 0.654268 0.801588 0.220082 0.243137 0.431373 0.160784
vn -0.036172 -0.014958 0.999234
v 0.466907 0.799790 0.219350 0.223529 0.341176 0.113725
vn 0.356322 -0.711607 -0.605517
v 0.719332 0.798826 0.066847 0.160784 0.239216 0.098039
vn -0.774803 0.009646 0.632130
v 0.459956 0.798573 0.103077 0.874510 0.827451 0.670588
vn -0.644172 0.349917 0.680147
v 0.453155 0.800057 0.213785 0.133333 0.192157 0.066667
vn 0.582904 -0.782748 -0.218011
v 0.664094 0.801042 0.023295 0.141176 0.219608 0.078431
vn 0.656373 -0.537423 -0.529482
v 0.664057 0.800141 0.025423 0.172549 0.262745 0.098039
vn 0.570009 -0.810996 -0.131815
v 0.723169 0.798891 0.083489 0.129412 0.207843 0.078431
vn 0.091924 -0.983046 0.158655
v 0.571850 0.799985 0.232143 0.188235 0.290196 0.117647
vn -0.569512 -0.690934 -0.445271
v 0.603344 0.798859 0.220705 0.184314 0.298039 0.109804
vn -0.161411 -0.401421 0.901558
v 0.473882 0.800002 0.220054 0.176471 0.290196 0.101961
vn 0.004525 -0.918058 -0.396420
v 0.688833 0.800259 0.066097 0.164706 0.243137 0.109804
vn -0.511016 -0.678863 0.527265
v 0.655099 0.799317 0.217263 0.254902 0.450980 0.156863
vn 0.882452 -0.469165 -0.034097
v 0.726416 0.799543 0.088119 0.160784 0.239216 0.109804
vn 0.438676 -0.543504 -0.715659
v 0.659539 0.800454 0.013805 0.113725 0.164706 0.066667
vn -0.950169 0.290154 -0.113972
v 0.405363 0.802542 0.196495 0.109804 0.172549 0.054902
vn -0.775422 -0.504778 0.379369
v 0.656468 0.799525 0.220646 0.247059 0.427451 0.164706
vn -0.136297 -0.285891 0.948519
v 0.412534 0.800088 0.207156 0.121569 0.176471 0.058824
vn 0.125692 -0.795610 0.592627
v 0.585446 0.799950 0.237908 0.074510 0.101961 0.035294
vn 0.759231 -0.577229 -0.300623
v 0.722134 0.799890 0.067681 0.160784 0.247059 0.098039
vn 0.902946 -0.384428 0.192103
v 0.583464 0.798309 0.224329 0.168627 0.262745 0.101961
vn 0.456363 -0.581986 0.673071
v 0.689689 0.800099 0.207464 0.188235 0.294118 0.125490
vn -0.441870 -0.565550 0.696350
v 0.414598 0.798719 0.208293 0.109804 0.164706 0.047059
vn -0.335083 -0.429264 0.838720
v 0.500298 0.799558 0.226106 0.211765 0.345098 0.129412
vn -0.207985 -0.598072 -0.773985
v 0.581834 0.798754 0.066674 0.294118 0.392157 0.192157
vn 0.661442 -0.748907 -0.040401
v 0.569083 0.799435 0.231526 0.121569 0.192157 0.066667
vn -0.579473 0.487424 -0.653169
v 0.653379 0.800002 0.016968 0.145098 0.215686 0.156863
vn -0.947041 0.277388 0.161768
v 0.431636 0.800002 0.162945 0.454902 0.549020 0.278431
vn -0.316326 -0.796398 -0.515450
v 0.698246 0.798187 0.067072 0.164706 0.250980 0.109804
vn 0.821095 0.301379 -0.484741
v 0.628456 0.801233 0.016612 0.152941 0.215686 0.101961
vn -0.465417 -0.177096 -0.867193
v 0.569630 0.803181 0.065681 0.254902 0.364706 0.168627
vn 0.261008 -0.507259 -0.821318
v 0.586477 0.800858 0.226670 0.156863 0.258824 0.098039
vn -0.279514 0.685850 0.671924
v 0.425625 0.801293 0.203321 0.180392 0.262745 0.105882
vn -0.017816 0.159347 -0.987062
v 0.638985 0.800002 0.025063 0.427451 0.537255 0.321569
vn -0.487587 0
gitextract_gvqlhfpg/ ├── LICENSE ├── README.md ├── environment.yml ├── interdiff/ │ ├── README.md │ ├── checkpoints/ │ │ ├── correction.ckpt │ │ ├── diffusion.ckpt │ │ ├── diffusion_skeleton.ckpt │ │ └── obj_skeleton.ckpt │ ├── data/ │ │ ├── behave/ │ │ │ ├── objects/ │ │ │ │ └── backpack/ │ │ │ │ ├── backpack.obj │ │ │ │ ├── backpack.obj.mtl │ │ │ │ └── backpack_f1000.ply │ │ │ └── sequence/ │ │ │ └── Date01_Sub01_backpack_back/ │ │ │ ├── object_fit_all.npz │ │ │ └── smpl_fit_all.npz │ │ ├── cfg/ │ │ │ ├── BEHAVE.yml │ │ │ └── HOI.yml │ │ ├── dataset_skeleton.py │ │ ├── dataset_smpl.py │ │ ├── prepare_behave.py │ │ ├── tools.py │ │ └── utils.py │ ├── diffusion/ │ │ ├── gaussian_diffusion.py │ │ ├── losses.py │ │ ├── nn.py │ │ ├── resample.py │ │ └── respace.py │ ├── eval_skeleton.py │ ├── eval_skeleton_no_correction.py │ ├── eval_smpl_long.py │ ├── eval_smpl_short.py │ ├── libsmpl/ │ │ ├── LICENSE │ │ ├── __init__.py │ │ ├── environment.yml │ │ ├── setup.py │ │ └── smplpytorch/ │ │ ├── __init__.py │ │ ├── native/ │ │ │ ├── __init__.py │ │ │ ├── models/ │ │ │ │ └── README.md │ │ │ └── webuser/ │ │ │ ├── __init__.py │ │ │ ├── lbs.py │ │ │ ├── posemapper.py │ │ │ ├── serialization.py │ │ │ └── verts.py │ │ └── pytorch/ │ │ ├── __init__.py │ │ ├── rodrigues_layer.py │ │ ├── smpl_layer.py │ │ └── tensutils.py │ ├── model/ │ │ ├── correction_skeleton.py │ │ ├── correction_smpl.py │ │ ├── diffusion_skeleton.py │ │ ├── diffusion_smpl.py │ │ ├── layers.py │ │ └── sublayers.py │ ├── optimization.py │ ├── render/ │ │ ├── __init__.py │ │ ├── mesh_utils.py │ │ ├── mesh_viz.py │ │ └── viz_helper.py │ ├── tools.py │ ├── train_correction_skeleton.py │ ├── train_correction_smpl.py │ ├── train_diffusion_skeleton.py │ └── train_diffusion_smpl.py ├── requirements.txt └── setup.py
SYMBOL INDEX (339 symbols across 37 files)
FILE: interdiff/data/dataset_skeleton.py
function parse_paths (line 20) | def parse_paths():
function recover_init_obj (line 40) | def recover_init_obj(initial_obj, initial_pose):
function get_consistent_poses (line 53) | def get_consistent_poses(downsampled_poses):
function pose_init_to_seq (line 67) | def pose_init_to_seq(zero_pose_obj, poses):
function check_sequences (line 85) | def check_sequences(poseData, objData,discard_discrep):
function get_sequences (line 108) | def get_sequences(pathName, discard_discrep=False,unseen=False,filename ...
function get_datasets (line 164) | def get_datasets(align_data=False,discard_discrep=False):
function get_unseen_dataset (line 207) | def get_unseen_dataset():
class SimpleDataset (line 220) | class SimpleDataset(Dataset):
method __init__ (line 221) | def __init__(self,sequences):
method __getitem__ (line 224) | def __getitem__(self, index):
method __len__ (line 227) | def __len__(self):
FILE: interdiff/data/dataset_smpl.py
class Dataset (line 25) | class Dataset(Dataset):
method __init__ (line 26) | def __init__(self, mode='train', past_len=10, future_len=25, sample_ra...
method __getitem__ (line 105) | def __getitem__(self, idx):
method __len__ (line 206) | def __len__(self):
FILE: interdiff/data/prepare_behave.py
class ContactLabelGenerator (line 26) | class ContactLabelGenerator(object):
method __init__ (line 28) | def __init__(self):
method get_contact_labels (line 32) | def get_contact_labels(self, smpl, object_points, thres=0.02):
method to_trimesh (line 54) | def to_trimesh(self, mesh):
function main (line 59) | def main(args, name):
FILE: interdiff/data/tools.py
function vertex_normals (line 4) | def vertex_normals(vertices, faces):
FILE: interdiff/data/utils.py
function to_tensor (line 10) | def to_tensor(
class VertexJointSelector (line 164) | class VertexJointSelector(nn.Module):
method __init__ (line 166) | def __init__(self, vertex_ids=SMPLH_VERTEX_INDEX,
method forward (line 208) | def forward(self, vertices, joints):
function get_root_idx (line 409) | def get_root_idx(joinstype):
function get_body_model (line 413) | def get_body_model(path, model_type, gender, batch_size, device='cpu', e...
FILE: interdiff/diffusion/gaussian_diffusion.py
function get_named_beta_schedule (line 20) | def get_named_beta_schedule(schedule_name, num_diffusion_timesteps, scal...
function betas_for_alpha_bar (line 47) | def betas_for_alpha_bar(num_diffusion_timesteps, alpha_bar, max_beta=0.9...
class ModelMeanType (line 67) | class ModelMeanType(enum.Enum):
class ModelVarType (line 77) | class ModelVarType(enum.Enum):
class LossType (line 91) | class LossType(enum.Enum):
method is_vb (line 99) | def is_vb(self):
class GaussianDiffusion (line 103) | class GaussianDiffusion:
method __init__ (line 120) | def __init__(
method masked_l2 (line 201) | def masked_l2(self, a, b, mask):
method q_mean_variance (line 216) | def q_mean_variance(self, x_start, t):
method q_sample (line 233) | def q_sample(self, x_start, t, noise=None):
method q_posterior_mean_variance (line 253) | def q_posterior_mean_variance(self, x_start, x_t, t):
method p_mean_variance (line 277) | def p_mean_variance(
method _predict_xstart_from_eps (line 390) | def _predict_xstart_from_eps(self, x_t, t, eps):
method _predict_xstart_from_xprev (line 397) | def _predict_xstart_from_xprev(self, x_t, t, xprev):
method _predict_eps_from_xstart (line 407) | def _predict_eps_from_xstart(self, x_t, t, pred_xstart):
method _scale_timesteps (line 413) | def _scale_timesteps(self, t):
method condition_mean (line 418) | def condition_mean(self, cond_fn, p_mean_var, x, t, model_kwargs=None):
method condition_mean_with_grad (line 433) | def condition_mean_with_grad(self, cond_fn, p_mean_var, x, t, model_kw...
method condition_score (line 448) | def condition_score(self, cond_fn, p_mean_var, x, t, model_kwargs=None):
method condition_score_with_grad (line 472) | def condition_score_with_grad(self, cond_fn, p_mean_var, x, t, model_k...
method p_sample (line 496) | def p_sample(
method p_sample_with_grad (line 550) | def p_sample_with_grad(
method p_sample_loop (line 598) | def p_sample_loop(
method p_sample_loop_progressive (line 663) | def p_sample_loop_progressive(
method ddim_sample (line 738) | def ddim_sample(
method ddim_sample_with_grad (line 790) | def ddim_sample_with_grad(
method ddim_reverse_sample (line 847) | def ddim_reverse_sample(
method ddim_sample_loop (line 885) | def ddim_sample_loop(
method ddim_sample_loop_progressive (line 934) | def ddim_sample_loop_progressive(
method plms_sample (line 1001) | def plms_sample(
method plms_sample_loop (line 1085) | def plms_sample_loop(
method plms_sample_loop_progressive (line 1127) | def plms_sample_loop_progressive(
method _vb_terms_bpd (line 1198) | def _vb_terms_bpd(
method training_losses (line 1233) | def training_losses(self, model, x_start, t, model_kwargs=None, noise=...
method fc_loss_rot_repr (line 1370) | def fc_loss_rot_repr(self, gt_xyz, pred_xyz, mask):
method _prior_bpd (line 1535) | def _prior_bpd(self, x_start):
method calc_bpd_loop (line 1553) | def calc_bpd_loop(self, model, x_start, clip_denoised=True, model_kwar...
function _extract_into_tensor (line 1611) | def _extract_into_tensor(arr, timesteps, broadcast_shape):
FILE: interdiff/diffusion/losses.py
function normal_kl (line 12) | def normal_kl(mean1, logvar1, mean2, logvar2):
function approx_standard_normal_cdf (line 42) | def approx_standard_normal_cdf(x):
function discretized_gaussian_log_likelihood (line 50) | def discretized_gaussian_log_likelihood(x, *, means, log_scales):
FILE: interdiff/diffusion/nn.py
class SiLU (line 13) | class SiLU(nn.Module):
method forward (line 14) | def forward(self, x):
class GroupNorm32 (line 18) | class GroupNorm32(nn.GroupNorm):
method forward (line 19) | def forward(self, x):
function conv_nd (line 23) | def conv_nd(dims, *args, **kwargs):
function linear (line 36) | def linear(*args, **kwargs):
function avg_pool_nd (line 43) | def avg_pool_nd(dims, *args, **kwargs):
function update_ema (line 56) | def update_ema(target_params, source_params, rate=0.99):
function zero_module (line 69) | def zero_module(module):
function scale_module (line 78) | def scale_module(module, scale):
function mean_flat (line 87) | def mean_flat(tensor):
function sum_flat (line 93) | def sum_flat(tensor):
function normalization (line 100) | def normalization(channels):
function timestep_embedding (line 110) | def timestep_embedding(timesteps, dim, max_period=10000):
function checkpoint (line 131) | def checkpoint(func, inputs, params, flag):
class CheckpointFunction (line 148) | class CheckpointFunction(th.autograd.Function):
method forward (line 151) | def forward(ctx, run_function, length, *args):
method backward (line 161) | def backward(ctx, *output_grads):
FILE: interdiff/diffusion/resample.py
function create_named_schedule_sampler (line 8) | def create_named_schedule_sampler(name, diffusion):
class ScheduleSampler (line 23) | class ScheduleSampler(ABC):
method weights (line 35) | def weights(self):
method sample (line 42) | def sample(self, batch_size, device):
class UniformSampler (line 61) | class UniformSampler(ScheduleSampler):
method __init__ (line 62) | def __init__(self, diffusion):
method weights (line 66) | def weights(self):
class LossAwareSampler (line 70) | class LossAwareSampler(ScheduleSampler):
method update_with_local_losses (line 71) | def update_with_local_losses(self, local_ts, local_losses):
method update_with_all_losses (line 107) | def update_with_all_losses(self, ts, losses):
class LossSecondMomentResampler (line 124) | class LossSecondMomentResampler(LossAwareSampler):
method __init__ (line 125) | def __init__(self, diffusion, history_per_term=10, uniform_prob=0.001):
method weights (line 134) | def weights(self):
method update_with_all_losses (line 143) | def update_with_all_losses(self, ts, losses):
method _warmed_up (line 153) | def _warmed_up(self):
FILE: interdiff/diffusion/respace.py
function space_timesteps (line 8) | def space_timesteps(num_timesteps, section_counts):
class SpacedDiffusion (line 64) | class SpacedDiffusion(GaussianDiffusion):
method __init__ (line 73) | def __init__(self, use_timesteps, **kwargs):
method p_mean_variance (line 89) | def p_mean_variance(
method training_losses (line 94) | def training_losses(
method condition_mean (line 99) | def condition_mean(self, cond_fn, *args, **kwargs):
method condition_score (line 102) | def condition_score(self, cond_fn, *args, **kwargs):
method _wrap_model (line 105) | def _wrap_model(self, model):
method _scale_timesteps (line 112) | def _scale_timesteps(self, t):
class _WrappedModel (line 117) | class _WrappedModel:
method __init__ (line 118) | def __init__(self, model, timestep_map, rescale_timesteps, original_nu...
method __call__ (line 124) | def __call__(self, x, ts, **kwargs):
FILE: interdiff/eval_skeleton.py
function body_obj_to_contact (line 17) | def body_obj_to_contact(body, obj):
function calc_obj_pred (line 34) | def calc_obj_pred(pose_pred, zero_pose_obj):
function calc_metric_single (line 46) | def calc_metric_single(body_pred, body_gt, obj_pred, obj_gt, pose_pred, ...
function get_batch (line 70) | def get_batch(old_batch, body_pred, obj_pred, pose_pred):
function denoised_fn (line 82) | def denoised_fn(x, t, model_kwargs):
function sample_once_proj (line 114) | def sample_once_proj(batch):
function sample (line 145) | def sample(t, dataloader, data_size):
FILE: interdiff/eval_skeleton_no_correction.py
function body_obj_to_contact (line 17) | def body_obj_to_contact(body, obj):
function calc_obj_pred (line 34) | def calc_obj_pred(pose_pred, zero_pose_obj):
function calc_metric_single (line 46) | def calc_metric_single(body_pred, body_gt, obj_pred, obj_gt, pose_pred, ...
function get_batch (line 70) | def get_batch(old_batch, body_pred, obj_pred, pose_pred):
function denoised_fn (line 82) | def denoised_fn(x, t, model_kwargs):
function sample_once_proj (line 85) | def sample_once_proj(batch):
function sample (line 115) | def sample(t, dataloader, data_size):
FILE: interdiff/eval_smpl_long.py
function get_batch (line 26) | def get_batch(body, obj, batch, verts, pel):
function denoised_fn (line 86) | def denoised_fn(x, t, model_kwargs):
function sample_once_proj (line 135) | def sample_once_proj(batch):
function sample_once (line 181) | def sample_once(batch):
function get_gt (line 220) | def get_gt(batch):
function sample (line 247) | def sample(name, T=0):
function visualize (line 313) | def visualize(batch, j, obj, verts, faces, name):
FILE: interdiff/eval_smpl_short.py
function metrics (line 24) | def metrics(obj_pred, body_jtr, body, obj_gt, body_jtr_gt, body_gt, vert...
function denoised_fn (line 84) | def denoised_fn(x, t, model_kwargs):
function sample_once_proj (line 133) | def sample_once_proj(batch):
function sample_once (line 179) | def sample_once(batch):
function smooth (line 217) | def smooth(obj, body, verts, jtrs, pelvis):
function get_gt (line 225) | def get_gt(batch):
function sample (line 252) | def sample(name):
function visualize (line 305) | def visualize(batch, j, obj, verts, faces, name):
FILE: interdiff/libsmpl/smplpytorch/native/webuser/lbs.py
function global_rigid_transformation (line 23) | def global_rigid_transformation(pose, J, kintree_table, xp):
function verts_core (line 59) | def verts_core(pose, v, J, weights, kintree_table, want_Jtr=False, xp=ch...
FILE: interdiff/libsmpl/smplpytorch/native/webuser/posemapper.py
class Rodrigues (line 21) | class Rodrigues(ch.Ch):
method compute_r (line 24) | def compute_r(self):
method compute_dr_wrt (line 27) | def compute_dr_wrt(self, wrt):
function lrotmin (line 32) | def lrotmin(p):
function posemap (line 42) | def posemap(s):
FILE: interdiff/libsmpl/smplpytorch/native/webuser/serialization.py
function backwards_compatibility_replacements (line 29) | def backwards_compatibility_replacements(dd):
function ready_arguments (line 52) | def ready_arguments(fname_or_dict):
function load_model (line 88) | def load_model(fname_or_dict):
FILE: interdiff/libsmpl/smplpytorch/native/webuser/verts.py
function ischumpy (line 28) | def ischumpy(x): return hasattr(x, 'dterms')
function verts_decorated (line 31) | def verts_decorated(trans, pose,
function verts_core (line 91) | def verts_core(pose, v, J, weights, kintree_table, bs_style, want_Jtr=Fa...
FILE: interdiff/libsmpl/smplpytorch/pytorch/rodrigues_layer.py
function quat2mat (line 13) | def quat2mat(quat):
function batch_rodrigues (line 41) | def batch_rodrigues(axisang):
function th_get_axis_angle (line 55) | def th_get_axis_angle(vector):
FILE: interdiff/libsmpl/smplpytorch/pytorch/smpl_layer.py
class SMPL_Layer (line 17) | class SMPL_Layer(Module):
method __init__ (line 20) | def __init__(self,
method forward (line 72) | def forward(self,
FILE: interdiff/libsmpl/smplpytorch/pytorch/tensutils.py
function th_posemap_axisang (line 6) | def th_posemap_axisang(pose_vectors):
function th_with_zeros (line 22) | def th_with_zeros(tensor):
function th_pack (line 32) | def th_pack(tensor):
function subtract_flat_id (line 41) | def subtract_flat_id(rot_mats, hands=False):
function make_list (line 56) | def make_list(tensor):
FILE: interdiff/model/correction_skeleton.py
class ObjProjector (line 7) | class ObjProjector(nn.Module):
method __init__ (line 8) | def __init__(self, args):
method get_dct_matrix (line 54) | def get_dct_matrix(self, N, is_torch=True):
method forward (line 68) | def forward(self, obj_angles, obj_trans, human_points):
method sample (line 84) | def sample(self, obj_angles, obj_trans, human_points):
FILE: interdiff/model/correction_smpl.py
class ObjProjector (line 8) | class ObjProjector(nn.Module):
method __init__ (line 9) | def __init__(self, args):
method get_dct_matrix (line 55) | def get_dct_matrix(self, N, is_torch=True):
method forward (line 69) | def forward(self, data, initialize=False):
method sample (line 79) | def sample(self, obj_angles, obj_trans, human_verts, contact, initiali...
FILE: interdiff/model/diffusion_skeleton.py
class MDM (line 7) | class MDM(nn.Module):
method __init__ (line 14) | def __init__(self, args):
method mask_cond (line 184) | def mask_cond(self, cond, force_mask=False):
method _get_embeddings (line 194) | def _get_embeddings(self, body_gt, obj_gt, pose_gt, zero_pose_obj):
method calc_obj_pred (line 218) | def calc_obj_pred(self, pose_pred, zero_pose_obj):
method _decode (line 231) | def _decode(self, x, time_embedding, y=None, zero_pose_obj=None):
method forward (line 250) | def forward(self, x, timesteps,zero_pose_obj, y=None):
function create_gaussian_diffusion (line 262) | def create_gaussian_diffusion(args):
function create_model_and_diffusion (line 297) | def create_model_and_diffusion(args):
FILE: interdiff/model/diffusion_smpl.py
class MDM (line 8) | class MDM(nn.Module):
method __init__ (line 9) | def __init__(self, args):
method mask_cond (line 185) | def mask_cond(self, cond, force_mask=False):
method _get_embeddings (line 195) | def _get_embeddings(self, data, device=None):
method _decode (line 226) | def _decode(self, x, time_embedding, y=None):
method forward (line 239) | def forward(self, x, timesteps, y=None):
function create_gaussian_diffusion (line 251) | def create_gaussian_diffusion(args):
function create_model_and_diffusion (line 286) | def create_model_and_diffusion(args):
FILE: interdiff/model/layers.py
class PositionalEncoding (line 9) | class PositionalEncoding(nn.Module):
method __init__ (line 10) | def __init__(self, d_model, dropout=0.1, max_len=5000):
method forward (line 24) | def forward(self, x):
class TimestepEmbedder (line 29) | class TimestepEmbedder(nn.Module):
method __init__ (line 30) | def __init__(self, latent_dim, sequence_pos_encoder):
method forward (line 42) | def forward(self, timesteps):
class Embedder (line 48) | class Embedder:
method __init__ (line 49) | def __init__(self, **kwargs):
method create_embedding_fn (line 53) | def create_embedding_fn(self):
method embed (line 77) | def embed(self, inputs):
function get_embedder (line 81) | def get_embedder(multires, i=0, input_dimension=3):
class NormalDistDecoder (line 98) | class NormalDistDecoder(nn.Module):
method __init__ (line 99) | def __init__(self, num_feat_in, latentD):
method forward (line 106) | def forward(self, Xout):
class PointNet2Encoder (line 111) | class PointNet2Encoder(nn.Module):
method __init__ (line 115) | def __init__(self, c_in=6, c_out=128, num_keypoints=256):
method _break_up_pc (line 145) | def _break_up_pc(self, pc):
method forward (line 151) | def forward(self, pointcloud):
class TransformerEncoder (line 177) | class TransformerEncoder(nn.Module):
method __init__ (line 193) | def __init__(self, encoder_layer, norm=None):
method forward (line 198) | def forward(self, src: Tensor, mask: Optional[Tensor] = None, src_key_...
class TransformerDecoder (line 220) | class TransformerDecoder(nn.Module):
method __init__ (line 237) | def __init__(self, decoder_layer, norm=None):
method forward (line 242) | def forward(self, tgt: Tensor, memory: Tensor, tgt_mask: Optional[Tens...
class ST_GCNN_layer (line 271) | class ST_GCNN_layer(nn.Module):
method __init__ (line 286) | def __init__(self,
method forward (line 339) | def forward(self, x):
FILE: interdiff/model/sublayers.py
function _get_activation_fn (line 10) | def _get_activation_fn(activation):
function _normalize_and_reshape_query (line 18) | def _normalize_and_reshape_query(q, heads, unit_norm, depth_scale, norma...
class TransformerEncoderLayerQaN (line 37) | class TransformerEncoderLayerQaN(nn.Module):
method __init__ (line 70) | def __init__(self, d_model: int, nhead: int, dim_feedforward: int = 20...
method _get_query (line 120) | def _get_query(self, x):
method __setstate__ (line 131) | def __setstate__(self, state):
method forward (line 136) | def forward(self, src: Tensor, src_mask: Optional[Tensor] = None, src_...
method _qa_block (line 180) | def _qa_block(self, x: Tensor,
method _sa_block (line 192) | def _sa_block(self, x: Tensor,
method _ff_block (line 201) | def _ff_block(self, x: Tensor) -> Tensor:
class TransformerDecoderLayerQaN (line 206) | class TransformerDecoderLayerQaN(nn.Module):
method __init__ (line 242) | def __init__(self, d_model: int, nhead: int, dim_feedforward: int = 20...
method _get_query (line 295) | def _get_query(self, x):
method __setstate__ (line 306) | def __setstate__(self, state):
method forward (line 311) | def forward(self, tgt: Tensor, memory: Tensor, tgt_mask: Optional[Tens...
method _qa_block (line 343) | def _qa_block(self, x: Tensor,
method _sa_block (line 355) | def _sa_block(self, x: Tensor,
method _mha_block (line 364) | def _mha_block(self, x: Tensor, mem: Tensor,
method _ff_block (line 373) | def _ff_block(self, x: Tensor) -> Tensor:
class ConvTemporalGraphical (line 378) | class ConvTemporalGraphical(nn.Module):
method __init__ (line 402) | def __init__(self,
method forward (line 415) | def forward(self, x):
class ConvSpatialGraphical (line 421) | class ConvSpatialGraphical(nn.Module):
method __init__ (line 445) | def __init__(self,
method forward (line 458) | def forward(self, x):
class ConvSpatialTemporalGraphical (line 464) | class ConvSpatialTemporalGraphical(nn.Module):
method __init__ (line 488) | def __init__(self,
method forward (line 511) | def forward(self, x):
FILE: interdiff/optimization.py
function optimize (line 19) | def optimize(index, data, visualize=False):
FILE: interdiff/render/mesh_utils.py
function get_checkerboard_plane (line 25) | def get_checkerboard_plane(plane_mins, center=True):
class MeshViewer (line 64) | class MeshViewer(object):
method __init__ (line 66) | def __init__(self, width=1200, height=800, add_ground_plane=False,
method set_background_color (line 110) | def set_background_color(self, color=colors['white']):
method update_camera_pose (line 113) | def update_camera_pose(self, camera_pose):
method close_viewer (line 116) | def close_viewer(self):
method set_cam_trans (line 120) | def set_cam_trans(self, trans= [0, 0, 3.0]):
method set_meshes (line 132) | def set_meshes(self, meshes, group_name='static', poses=[]):
method set_static_meshes (line 153) | def set_static_meshes(self, meshes, poses=[]): self.set_meshes(meshes,...
method set_dynamic_meshes (line 154) | def set_dynamic_meshes(self, meshes, poses=[]): self.set_meshes(meshes...
method _add_raymond_light (line 156) | def _add_raymond_light(self):
method use_raymond_lighting (line 186) | def use_raymond_lighting(self, intensity = 1.0):
method render (line 195) | def render(self, render_wireframe=None, RGBA=False):
FILE: interdiff/render/mesh_viz.py
function c2rgba (line 26) | def c2rgba(c):
function visualize_body_obj (line 33) | def visualize_body_obj(body_verts, body_face, obj_verts, obj_face, past_...
function tobodyparts (line 157) | def tobodyparts(m_pcd, past=False):
FILE: interdiff/render/viz_helper.py
function visualize_skeleton (line 29) | def visualize_skeleton(skeledonData, objPoint, save_dir = './test.gif'):
function visualize_skeleton_pred_gt (line 77) | def visualize_skeleton_pred_gt(skeledonData, objPoint, skeledonData_gt, ...
FILE: interdiff/tools.py
function point2point_signed (line 11) | def point2point_signed(
function aa2matrot (line 78) | def aa2matrot(pose):
function rotvec_to_rotmat (line 88) | def rotvec_to_rotmat(rotvec):
function mesh_laplacian_smoothing (line 92) | def mesh_laplacian_smoothing(meshes, method: str = "uniform"):
class LaplacianLoss (line 213) | class LaplacianLoss(nn.Module):
method __init__ (line 215) | def __init__(self, faces):
method forward (line 221) | def forward(self, x, y):
class NormalConsistencyLoss (line 241) | class NormalConsistencyLoss(nn.Module):
method __init__ (line 243) | def __init__(self, faces):
method forward (line 248) | def forward(self, x):
class NormalVectorLoss (line 258) | class NormalVectorLoss(nn.Module):
method __init__ (line 260) | def __init__(self, face):
method forward (line 264) | def forward(self, coord_out, coord_gt):
class EdgeLengthLoss (line 288) | class EdgeLengthLoss(nn.Module):
method __init__ (line 289) | def __init__(self, face, relative_length=False):
method forward (line 294) | def forward(self, coord_out, coord_gt):
FILE: interdiff/train_correction_skeleton.py
class LitObjInteraction (line 19) | class LitObjInteraction(pl.LightningModule):
method __init__ (line 20) | def __init__(self, args):
method on_train_start (line 31) | def on_train_start(self) -> None:
method configure_optimizers (line 41) | def configure_optimizers(self):
method calc_obj_pred (line 49) | def calc_obj_pred(self, pose_pred, zero_pose_obj):
method calc_metric (line 61) | def calc_metric(self, body_pred, body_gt, obj_pred, obj_gt, pose_pred,...
method calc_loss (line 85) | def calc_loss(self, obj_pred, obj_gt):
method _common_step (line 128) | def _common_step(self, batch, batch_idx, mode):
method visualize (line 156) | def visualize(self, body_pred, obj_pred, body_gt, obj_gt, batch, batch...
method training_step (line 182) | def training_step(self, batch, batch_idx):
method validation_step (line 191) | def validation_step(self, batch, batch_idx):
method test_step (line 198) | def test_step(self, batch, batch_idx):
FILE: interdiff/train_correction_smpl.py
class LitInteraction (line 24) | class LitInteraction(pl.LightningModule):
method __init__ (line 25) | def __init__(self, args):
method on_train_start (line 41) | def on_train_start(self) -> None:
method forward (line 48) | def forward(self, x, initialize=False):
method configure_optimizers (line 51) | def configure_optimizers(self):
method calc_loss (line 60) | def calc_loss(self, obj_pred, obj_gt, batch):
method calc_loss_contact (line 103) | def calc_loss_contact(self, obj_pred, obj_gt, batch):
method _common_step (line 187) | def _common_step(self, batch, batch_idx, mode):
method training_step (line 263) | def training_step(self, batch, batch_idx):
method validation_step (line 272) | def validation_step(self, batch, batch_idx):
FILE: interdiff/train_diffusion_skeleton.py
class LitInteraction (line 22) | class LitInteraction(pl.LightningModule):
method __init__ (line 23) | def __init__(self, args):
method on_train_start (line 38) | def on_train_start(self) -> None:
method l2 (line 46) | def l2(self, a, b):
method calc_obj_pred (line 52) | def calc_obj_pred(self, pose_pred, zero_pose_obj):
method calc_metric (line 65) | def calc_metric(self, body_pred, body_gt, obj_pred, obj_gt, pose_pred,...
method forward_backward (line 89) | def forward_backward(self, batch, cond):
method log_loss_dict (line 177) | def log_loss_dict(self, diffusion, ts, losses, loss):
method configure_optimizers (line 181) | def configure_optimizers(self):
method calc_val_loss (line 190) | def calc_val_loss(self, body_pred, body_gt, obj_pred, obj_gt, pose_pre...
method _common_step (line 255) | def _common_step(self, batch, batch_idx, mode):
method visualize (line 298) | def visualize(self, body_pred, obj_pred, body_gt, obj_gt, batch, batch...
method training_step (line 324) | def training_step(self, batch, batch_idx):
method validation_step (line 329) | def validation_step(self, batch, batch_idx):
method test_step (line 335) | def test_step(self, batch, batch_idx):
FILE: interdiff/train_diffusion_smpl.py
class LitInteraction (line 26) | class LitInteraction(pl.LightningModule):
method __init__ (line 27) | def __init__(self, args):
method on_train_start (line 46) | def on_train_start(self) -> None:
method l2 (line 54) | def l2(self, a, b):
method forward_backward (line 60) | def forward_backward(self, batch, cond):
method log_loss_dict (line 168) | def log_loss_dict(self, diffusion, ts, losses, loss):
method configure_optimizers (line 177) | def configure_optimizers(self):
method calc_val_loss (line 185) | def calc_val_loss(self, body_pred, body_gt, obj_pred, obj_gt, batch):
method calc_loss (line 262) | def calc_loss(self, body_pred, body_gt, obj_pred, obj_gt, batch):
method _common_step (line 381) | def _common_step(self, batch, batch_idx, mode):
method visualize (line 454) | def visualize(self, body_pred, obj_pred, body_gt, obj_gt, batch, batch...
method training_step (line 513) | def training_step(self, batch, batch_idx):
method validation_step (line 517) | def validation_step(self, batch, batch_idx):
method test_step (line 525) | def test_step(self, batch, batch_idx):
FILE: setup.py
function collect_docstring (line 8) | def collect_docstring(lines):
function get_install_requirements (line 20) | def get_install_requirements():
function setup_package (line 27) | def setup_package():
Condensed preview — 63 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (8,406K chars).
[
{
"path": "LICENSE",
"chars": 1064,
"preview": "MIT License\n\nCopyright (c) 2023 Sirui Xu\n\nPermission is hereby granted, free of charge, to any person obtaining a copy\no"
},
{
"path": "README.md",
"chars": 6834,
"preview": "<p align=\"center\">\n<!-- <h1 align=\"center\">InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diff"
},
{
"path": "environment.yml",
"chars": 6715,
"preview": "name: interdiff\nchannels:\n - pytorch3d\n - iopath\n - fvcore\n - pytorch\n - conda-forge\n - defaults\ndependencies:\n -"
},
{
"path": "interdiff/README.md",
"chars": 6463,
"preview": "This README file contains instructions for processing data and implementing the InterDiff framework.\n\n### 1. Data Prepar"
},
{
"path": "interdiff/data/behave/objects/backpack/backpack.obj",
"chars": 7669243,
"preview": "####\n#\n# OBJ File Generated by Meshlab\n#\n####\n# Object backpack_closed.obj\n#\n# Vertices: 35173\n# Faces: 70236\n#\n####\nmtl"
},
{
"path": "interdiff/data/behave/objects/backpack/backpack.obj.mtl",
"chars": 225,
"preview": "#\n# Wavefront material file\n# Converted by Meshlab Group\n#\n\nnewmtl material_0\nKa 0.200000 0.200000 0.200000\nKd 1.000000 "
},
{
"path": "interdiff/data/cfg/BEHAVE.yml",
"chars": 326,
"preview": "# SMPL\nMOTION_PATH: ./data/behave/sequences # path where motion sequences (30fps) are stored\nOBJECT_TEMPLATE: ./data/beh"
},
{
"path": "interdiff/data/cfg/HOI.yml",
"chars": 113,
"preview": "# Skeleton\nMOTION_PATH: ./data/hoi/human_object_kpts_motion_only # path where motion sequences (30fps) are stored"
},
{
"path": "interdiff/data/dataset_skeleton.py",
"chars": 8809,
"preview": "import sys\ndirectory = os.path.dirname(os.path.abspath(__file__))\n# setting path\nimport numpy as np\nimport pickle\nimport"
},
{
"path": "interdiff/data/dataset_smpl.py",
"chars": 10111,
"preview": "import json\nimport os\nimport os.path\nimport sys\ndirectory = os.path.dirname(os.path.abspath(__file__))\n# setting path\nsy"
},
{
"path": "interdiff/data/prepare_behave.py",
"chars": 5784,
"preview": "\"\"\"\nAdapted from: \n Code to generate contact labels from SMPL and object registrations\n Author: Xianghui Xie\n C"
},
{
"path": "interdiff/data/tools.py",
"chars": 1646,
"preview": "import torch\nimport torch.nn.functional as F\n\ndef vertex_normals(vertices, faces):\n \"\"\"\n :param vertices: [batch s"
},
{
"path": "interdiff/data/utils.py",
"chars": 17586,
"preview": "import numpy as np\nimport torch\nimport torch.nn as nn\nfrom typing import NewType, Union\nfrom pathlib import Path\nimport "
},
{
"path": "interdiff/diffusion/gaussian_diffusion.py",
"chars": 68380,
"preview": "# This code is based on https://github.com/openai/guided-diffusion\n\"\"\"\nThis code started out as a PyTorch port of Ho et "
},
{
"path": "interdiff/diffusion/losses.py",
"chars": 2599,
"preview": "# This code is based on https://github.com/openai/guided-diffusion\n\"\"\"\nHelpers for various likelihood-based losses. Thes"
},
{
"path": "interdiff/diffusion/nn.py",
"chars": 6049,
"preview": "# This code is based on https://github.com/openai/guided-diffusion\n\"\"\"\nVarious utilities for neural networks.\n\"\"\"\n\nimpor"
},
{
"path": "interdiff/diffusion/resample.py",
"chars": 5688,
"preview": "from abc import ABC, abstractmethod\n\nimport numpy as np\nimport torch as th\nimport torch.distributed as dist\n\n\ndef create"
},
{
"path": "interdiff/diffusion/respace.py",
"chars": 5259,
"preview": "# This code is based on https://github.com/openai/guided-diffusion\nimport numpy as np\nimport torch as th\n\nfrom .gaussian"
},
{
"path": "interdiff/eval_skeleton.py",
"chars": 12774,
"preview": "import os\nimport numpy as np\nimport torch\nfrom torch.utils.data import DataLoader\nimport pytorch_lightning as pl\nfrom pa"
},
{
"path": "interdiff/eval_skeleton_no_correction.py",
"chars": 11141,
"preview": "'''test our model'''\nimport os\nimport numpy as np\nimport torch\nfrom torch.utils.data import DataLoader\nimport pytorch_li"
},
{
"path": "interdiff/eval_smpl_long.py",
"chars": 24337,
"preview": "import os\nfrom datetime import datetime\nimport numpy as np\nimport torch\nfrom torch.utils.data import DataLoader\nimport p"
},
{
"path": "interdiff/eval_smpl_short.py",
"chars": 23837,
"preview": "import os\nfrom datetime import datetime\nimport numpy as np\nimport torch\nfrom torch.utils.data import DataLoader\nimport p"
},
{
"path": "interdiff/libsmpl/LICENSE",
"chars": 35149,
"preview": " GNU GENERAL PUBLIC LICENSE\n Version 3, 29 June 2007\n\n Copyright (C) 2007 Free "
},
{
"path": "interdiff/libsmpl/__init__.py",
"chars": 0,
"preview": ""
},
{
"path": "interdiff/libsmpl/environment.yml",
"chars": 158,
"preview": "name: libsmpl\n\ndependencies:\n - opencv\n - python=3.7\n - matplotlib\n - numpy\n - pytorch\n - pip\n - pip:\n - git+h"
},
{
"path": "interdiff/libsmpl/setup.py",
"chars": 814,
"preview": "import setuptools\n\n\nREQUIREMENTS = [\n \"opencv-python\",\n \"matplotlib\",\n \"numpy\",\n \"torch\",\n \"chumpy @ git+"
},
{
"path": "interdiff/libsmpl/smplpytorch/__init__.py",
"chars": 17,
"preview": "name = \"libsmpl\"\n"
},
{
"path": "interdiff/libsmpl/smplpytorch/native/__init__.py",
"chars": 0,
"preview": ""
},
{
"path": "interdiff/libsmpl/smplpytorch/native/models/README.md",
"chars": 32,
"preview": "Here copy the .pkl model files.\n"
},
{
"path": "interdiff/libsmpl/smplpytorch/native/webuser/__init__.py",
"chars": 0,
"preview": ""
},
{
"path": "interdiff/libsmpl/smplpytorch/native/webuser/lbs.py",
"chars": 2879,
"preview": "\"\"\"\nCopyright 2015 Matthew Loper, Naureen Mahmood and the Max Planck Gesellschaft. All rights reserved.\nThis software i"
},
{
"path": "interdiff/libsmpl/smplpytorch/native/webuser/posemapper.py",
"chars": 1477,
"preview": "\"\"\"\nCopyright 2015 Matthew Loper, Naureen Mahmood and the Max Planck Gesellschaft. All rights reserved.\nThis software i"
},
{
"path": "interdiff/libsmpl/smplpytorch/native/webuser/serialization.py",
"chars": 3483,
"preview": "\"\"\"\nCopyright 2015 Matthew Loper, Naureen Mahmood and the Max Planck Gesellschaft. All rights reserved.\nThis software i"
},
{
"path": "interdiff/libsmpl/smplpytorch/native/webuser/verts.py",
"chars": 3286,
"preview": "\"\"\"\nCopyright 2015 Matthew Loper, Naureen Mahmood and the Max Planck Gesellschaft. All rights reserved.\nThis software i"
},
{
"path": "interdiff/libsmpl/smplpytorch/pytorch/__init__.py",
"chars": 0,
"preview": ""
},
{
"path": "interdiff/libsmpl/smplpytorch/pytorch/rodrigues_layer.py",
"chars": 2859,
"preview": "\"\"\"\nThis part reuses code from https://github.com/MandyMo/pytorch_HMR/blob/master/src/util.py\nwhich is part of a PyTorch"
},
{
"path": "interdiff/libsmpl/smplpytorch/pytorch/smpl_layer.py",
"chars": 7291,
"preview": "\"\"\"\nCode taken from https://github.com/gulvarol/smplpytorch\nModified such that SMPL now also has per-vertex displacement"
},
{
"path": "interdiff/libsmpl/smplpytorch/pytorch/tensutils.py",
"chars": 1546,
"preview": "import torch\n\nfrom . import rodrigues_layer\n\n\ndef th_posemap_axisang(pose_vectors):\n '''\n Converts axis-angle to r"
},
{
"path": "interdiff/model/correction_skeleton.py",
"chars": 6164,
"preview": "import torch\nimport torch.nn as nn\nimport numpy as np\nfrom pytorch3d.transforms import matrix_to_rotation_6d, quaternion"
},
{
"path": "interdiff/model/correction_smpl.py",
"chars": 6830,
"preview": "import torch\nimport torch.nn as nn\nimport numpy as np\nfrom pytorch3d.transforms import axis_angle_to_matrix, matrix_to_r"
},
{
"path": "interdiff/model/diffusion_skeleton.py",
"chars": 19498,
"preview": "import torch\nimport torch.nn as nn\nfrom pytorch3d.transforms import quaternion_to_matrix\nfrom model.layers import Positi"
},
{
"path": "interdiff/model/diffusion_smpl.py",
"chars": 20437,
"preview": "import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nfrom pytorch3d.transforms import axis_angle_to_matrix"
},
{
"path": "interdiff/model/layers.py",
"chars": 12117,
"preview": "import torch\nimport torch.nn as nn\nimport numpy as np\nfrom pointnet2_ops.pointnet2_modules import PointnetSAModuleMSG\nfr"
},
{
"path": "interdiff/model/sublayers.py",
"chars": 24927,
"preview": "import torch\nimport torch.nn as nn\nfrom torch import Tensor\nfrom typing import Optional, Any, Union, Callable\nimport tor"
},
{
"path": "interdiff/optimization.py",
"chars": 13098,
"preview": "import os\nimport numpy as np\nimport torch\nfrom data.dataset_smpl import Dataset, MODEL_PATH, OBJECT_PATH\nfrom data.tools"
},
{
"path": "interdiff/render/__init__.py",
"chars": 83,
"preview": "from .mesh_viz import visualize_body_obj\nfrom .viz_helper import visualize_skeleton"
},
{
"path": "interdiff/render/mesh_utils.py",
"chars": 7701,
"preview": "# -*- coding: utf-8 -*-\n\n# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is\n# holder of all propri"
},
{
"path": "interdiff/render/mesh_viz.py",
"chars": 6678,
"preview": "# -*- coding: utf-8 -*-\n\n# Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. (MPG) is\n# holder of all propri"
},
{
"path": "interdiff/render/viz_helper.py",
"chars": 9481,
"preview": "from matplotlib import animation\nfrom matplotlib.animation import FuncAnimation\nimport matplotlib.pyplot as plt\nimport n"
},
{
"path": "interdiff/tools.py",
"chars": 11808,
"preview": "import pytorch3d.loss\nimport torch\nimport torch.nn as nn\nimport torch.nn.functional as F\n\nfrom pytorch3d.ops import cot_"
},
{
"path": "interdiff/train_correction_skeleton.py",
"chars": 15960,
"preview": "import os\nfrom datetime import datetime\nimport shutil\nimport torch\nfrom torch.utils.data import DataLoader\nfrom torch.op"
},
{
"path": "interdiff/train_correction_smpl.py",
"chars": 23378,
"preview": "import os\nfrom datetime import datetime\nimport shutil\nimport numpy as np\nimport torch\nfrom torch.utils.data import DataL"
},
{
"path": "interdiff/train_diffusion_skeleton.py",
"chars": 25086,
"preview": "import os\nfrom datetime import datetime\nimport shutil\nimport torch\nfrom torch.utils.data import DataLoader\nfrom torch.op"
},
{
"path": "interdiff/train_diffusion_smpl.py",
"chars": 48236,
"preview": "import os\nfrom datetime import datetime\nimport shutil\nimport numpy as np\nimport torch\nfrom torch.utils.data import DataL"
},
{
"path": "requirements.txt",
"chars": 933,
"preview": "channels:\n - pytorch\n - pytorch3d\n - conda-forge\n - defaults\n - nvidia\ndependencies:\n - python=3.7\n - igl\n - cud"
},
{
"path": "setup.py",
"chars": 1117,
"preview": "from distutils.core import setup\nfrom distutils.extension import Extension\nfrom itertools import dropwhile\nimport numpy "
}
]
// ... and 7 more files (download for full content)
About this extraction
This page contains the full source code of the Sirui-Xu/InterDiff GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 63 files (84.6 MB), approximately 2.1M tokens, and a symbol index with 339 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.