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How to get the partial UV texture map? #5
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Hi, I also have some questions about the pre-processing of the dataset.
Thank you! :) |
Hi Andrew, Please visit these links listed below to get the solution for your problem related to the texture map. The first link has a set of notebooks where different applications of densepose are given, and in the second link you will see how to get the texture map along with that, someone shared a library also to achieve that. You can check the source file of that library to understand the total working. https://github.com/facebookresearch/DensePose/tree/master/notebooks |
Hi, @rubelchowdhury20, thank you for your reply! I have obtained the partial UV texture map according to the above notebooks, thanks a lot! But I notice that the size of the input image and IUV map can influence the quality of the partial UV Texture map. I wonder what are the sizes of the input image and corresponding UV texture maps in your experiment settings? and whether or not the quality of the partial UV Texture map can impact the final performance? Thank you! :) |
Hi! Thanks for releasing the code.
I have a few questions on how to get the partial UV texture map.
In Section 3,1, as mentioned in the paper, the IUV map of an input image is predicted by using the ResNet-101 based variant of DensePose, and "For easier mapping, the 24 part-specific UV maps are combined to form a single UV Texture map Ts in the format provided in the SURREAL dataset [53] through a pre-computed lookup table." I am trying to train the proposed model on my own dataset, and I have already got IUV maps, but I do not know how to implement such a mapping operation to get the partial UV texture map as described in the paper. Could you please provide some demo code or other GitHub repo to show how to get the partial UV texture map?
Thank you! :)
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