Create UV Texture map from DensePose Output

## 📚 Documentation Improvements
I am trying to generate a single UV-texture map in the format of the SURREAL dataset. There is a notebook in the original DensePose repository that discusses how to apply texture transfer using an image from SMPL: github.com/facebookresearch/DensePose/blob/master/notebooks/DensePose-RCNN-Texture-Transfer.ipynb

However, in this case I am trying to use the outputs we get from DensePose directly:
1. In dump mode, I get the uv coordinates in `data[0]['pred_densepose'][0].uv` with dimensions: torch.Size([2, 1098, 529])
2. I overlayed the output from running inference on an image with `dp_u,dp_v` visualization on a black background. Here is the link to the image: https://densepose.s3.amazonaws.com/test1uv.0001.png
* This is the command I used to get this inference: ```python3 apply_net.py show configs/densepose_rcnn_R_101_FPN_DL_WC2M_s1x.yaml model_final_de6e7a.pkl input.jpg dp_u,dp_v -v --output output.png```

3. This is the link to the original image: https://densepose.s3.amazonaws.com/02_1_front.jpg

Using these components, I am trying to generate the 24 part uv texture map in the same format as SMPL:
https://densepose.s3.amazonaws.com/extracted_smpl_texture_apprearance.png
https://densepose.s3.amazonaws.com/texture_from_SURREAL.png

It would be extremely helpful if someone can share how to solve this problem. Please let me know if additional information is needed.