# DENSEPOSE Windows10 Installation
###### tags: `Deep Learning`

1.Install Anaconda
2.conda create -n pose python=3.6.8
3.conda activate pose

4.install pytorch

`
conda install pytorch==1.0.1 torchvision==0.2.2 cudatoolkit=10.0 -c pytorch
`

5.install caffe2 requiements
`
pip install future ^
hypothesis ^
numpy ^
protobuf ^
six
`
6.install some packages

pip install pyyaml
pip install h5py
pip install scipy
pip install memory_profiler
pip install opencv-python

> [name=Chong Ming Wei]要先裝cython
> pip install cython
7. install cocoapi

cd (WinDensePose-master)/cocoapi/PythonAPI/
python setup.py build
python setup.py install

8. install densepose

cd (WinDensePose-master)/densepose/
python setup.py build
python setup.py install

9. set path enviroment

set PYTHONPATH=(WinDensePose-master)\densepose;%PYTHONPATH%
**OR**
編輯環境變數>>環境變數>>新增系統變數

10. Download UV data(**Necessary**)

We need to download manually the archive below because under Windows we can not eexecute .sh scripts. Follow [**the link**](https://dl.fbaipublicfiles.com/densepose/densepose_uv_data.tar.gz) and unzip and copy all files in densepose\DensePoseData\UV_data.

Another option is to install cygwin and then run the scripts which are in the folder densepose\DensePoseData. Scripts are: get_DensePose_COCO.sh, get_densepose_uv.sh, get_eval_data.sh
11. Test with(weight檔要額外下載下來，直接打下面指令會報錯)

python tools/infer_simple.py --cfg configs/DensePose_ResNet101_FPN_s1x-e2e.yaml --output-dir DensePoseData/infer_out/ --image-ext jpg --wts https://dl.fbaipublicfiles.com/densepose/DensePose_ResNet101_FPN_s1x-e2e.pkl DensePoseData/demo_data/demo_im.jpg

Reference:

1. * https://medium.com/@nikolaystoychev/how-to-configure-build-and-run-densepose-algorithm-under-windows-913302304409
1. * https://github.com/NikolaySt/WinDensePose/blob/master/INSTALL.md