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| # Windows installation tutorial | |
| Another [issue#16](https://github.com/YuliangXiu/ECON/issues/16) shows the whole process to deploy ECON on *Windows* | |
| ## Dependencies and Installation | |
| - Use [Anaconda](https://www.anaconda.com/products/distribution) | |
| - NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads) | |
| - [Wget for Windows](https://eternallybored.org/misc/wget/1.21.3/64/wget.exe) | |
| - Create a new folder on your C drive and rename it "wget" and move the downloaded "wget.exe" over there. | |
| - Add the path to your wget folder to your system environment variables at `Environment Variables > System Variables Path > Edit environment variable` | |
|  | |
| - Install [Git for Windows 64-bit](https://git-scm.com/download/win) | |
| - [Visual Studio Community 2022](https://visualstudio.microsoft.com/) (Make sure to check all the boxes as shown in the image below) | |
|  | |
| ## Getting started | |
| Start by cloning the repo: | |
| ```bash | |
| git clone https://github.com/yuliangxiu/ECON.git | |
| cd ECON | |
| ``` | |
| ## Environment | |
| - Windows 10 / 11 | |
| - **CUDA=11.3** | |
| - Python = 3.8 | |
| - PyTorch >= 1.12.1 (official [Get Started](https://pytorch.org/get-started/locally/)) | |
| - Cupy >= 11.3.0 (offcial [Installation](https://docs.cupy.dev/en/stable/install.html#installing-cupy-from-pypi)) | |
| - PyTorch3D = 0.7.1 (official [INSTALL.md](https://github.com/facebookresearch/pytorch3d/blob/main/INSTALL.md), recommend [install-from-local-clone](https://github.com/facebookresearch/pytorch3d/blob/main/INSTALL.md#2-install-from-a-local-clone)) | |
| ```bash | |
| # install required packages | |
| cd ECON | |
| conda env create -f environment-windows.yaml | |
| conda activate econ | |
| # install pytorch and cupy | |
| pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113 | |
| pip install -r requirements.txt | |
| pip install cupy-cuda11x | |
| pip install git+https://github.com/facebookresearch/[email protected] | |
| # install libmesh & libvoxelize | |
| cd lib/common/libmesh | |
| python setup.py build_ext --inplace | |
| cd ../libvoxelize | |
| python setup.py build_ext --inplace | |
| ``` | |
| ## Register at [ICON's website](https://icon.is.tue.mpg.de/) | |
|  | |
| Required: | |
| - [SMPL](http://smpl.is.tue.mpg.de/): SMPL Model (Male, Female) | |
| - [SMPL-X](http://smpl-x.is.tue.mpg.de/): SMPL-X Model, used for training | |
| - [SMPLIFY](http://smplify.is.tue.mpg.de/): SMPL Model (Neutral) | |
| - [PIXIE](https://icon.is.tue.mpg.de/user.php): PIXIE SMPL-X estimator | |
| :warning: Click **Register now** on all dependencies, then you can download them all with **ONE** account. | |
| ## Downloading required models and extra data (make sure to install git and wget for windows for this to work) | |
| ```bash | |
| cd ECON | |
| bash fetch_data.sh # requires username and password | |
| ``` | |
| ## Citation | |
| :+1: Please consider citing these awesome HPS approaches: PyMAF-X, PIXIE | |
| ``` | |
| @article{pymafx2022, | |
| title={PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images}, | |
| author={Zhang, Hongwen and Tian, Yating and Zhang, Yuxiang and Li, Mengcheng and An, Liang and Sun, Zhenan and Liu, Yebin}, | |
| journal={arXiv preprint arXiv:2207.06400}, | |
| year={2022} | |
| } | |
| @inproceedings{PIXIE:2021, | |
| title={Collaborative Regression of Expressive Bodies using Moderation}, | |
| author={Yao Feng and Vasileios Choutas and Timo Bolkart and Dimitrios Tzionas and Michael J. Black}, | |
| booktitle={International Conference on 3D Vision (3DV)}, | |
| year={2021} | |
| } | |
| ``` | |