questions about root depth

[yanglilian]

It seems that this project uses the absolute depth obtained from rootnet for all datasets in the evaluation procedure，so how do you train the rootnet for the hand project. As I know，rootnet is desinged for human pose. Can you release the training code for the rootnet in hand pose? thanks.

[mks0601]

You don't have to change many things from RootNet repo. All you have to do are changing bbox_real to (300,300) and write data/InterHand26M/InterHand26M.py in the RootNet repo. (300,300) indicate hand scale of x- and y-axis in milimeter. You can write data/InterHand26M/InterHand26M.py in the RootNet repo by refering other dataloaders of the RootNet repo and this repo.

[yanglilian]

You don't have to change many things from RootNet repo. All you have to do are changing bbox_real to (300,300) and write data/InterHand26M/InterHand26M.py in the RootNet repo. (300,300) indicate hand scale of x- and y-axis in milimeter. You can write data/InterHand26M/InterHand26M.py in the RootNet repo by refering other dataloaders of the RootNet repo and this repo.

ok, I will try. Another question is have you ever tried merge the branch of absolute depth prediction into this project?

[mks0601]

I found the code. Use this one.
https://drive.google.com/drive/folders/1dYCgmHqW1qoD3osoB_Z4XWiaKcG7__-8?usp=sharing

You can set the path things by reading the README of this repo.

[mks0601]

No I haven't. RootNet is my previous work and it can be applied to 3D body/hand pose/shape estimation.

[yanglilian]

I found the code. Use this one.
https://drive.google.com/drive/folders/1dYCgmHqW1qoD3osoB_Z4XWiaKcG7__-8?usp=sharing

You can set the path things by reading the README of this repo.

ok, I will try. Thanks

[shreyashampali]

hi @mks0601
Thanks for this great work and dataset. I had a question regarding the MPJPE numbers (Table 4 in ECCV paper) in your paper for the interHands dataset. Are these numbers calculated using RootNet output or using ground truth root depths?

[mks0601]

All numbers in the paper are obtained using RootNet.

[dlwsds]

I found the code. Use this one.
https://drive.google.com/drive/folders/1dYCgmHqW1qoD3osoB_Z4XWiaKcG7__-8?usp=sharing

You can set the path things by reading the README of this repo.

hi @mks0601
I run train.py in InterHand2.6M-RootNet, but there is an error :
[Errno 2] No such file or directory: '../data/RHD/data/RHD_training.json'
Could you tell me how to get this file？