Comments (3)
Hi.
After checking the organization of the data, the correspondences are ['0': background, '1': hat, '2': hair, '3':upper clothes, '4': lower part of the body, '5': lower part of the body, '6': skin, '7' face]. This will be corrected in the next version of our paper.
BTW, how to re-organize the labels to the limited categories of parsing (for efficiency) is worth discussing. The pose can help distinguish the legs and the arms, so I think it may be more reasonable. Therefore, in my opinion, if the labels are reasonable, you can re-organize it as you like to deal with.
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Thanks for your reply. However, to be more precise, I think '4' should be 'Shoes(including socks)', while '5' should be 'lower clothes(e.g. pants, shorts)'. Regarding them all as 'lower part of the body' may be not reasonable.
from pise.
Yeap, 4 is represented as shoes (and socks). It is a typo error in the previous reply.
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Related Issues (20)
- A question about the paper HOT 2
- About the extraction of "Fp" HOT 2
- About the training process HOT 1
- problems about training the texture model HOT 2
- How to test the texture transfer model? HOT 9
- The correspondence loss is actually not used HOT 4
- How to edit the parsing map HOT 2
- Do you have a trained model? HOT 3
- May you please share your checkpints for the discriminators? HOT 2
- 模型复现不了的问题 HOT 1
- pretrained model quality is not so good than your paper results. HOT 2
- quality about the par_sav HOT 1
- generating samples by the pretrained model HOT 7
- H36m keypoints HOT 1
- Improvement HOT 1
- Respective / end-to-end training HOT 2
- how to visualize the parsing map? HOT 2
- How to visualize the parsing map image?
- Can you please explain how you have made the testSPL8 folder ? I also want to test it on my own dataset so i want to generate the same .pngs. HOT 1
- I couldn't find the code locations that to "comments the line 177 and 178, and uncomments line 162-176." mentioned in README. HOT 4
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