Comments (3)
Hi, thanks for your interest in our work, for evaluation we follow the same setting as HALO. Please let me know if you have any other questions.
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hello , i want to know how to evaluation HO3D dataset?there is no details。maybe just evaluate
['003_cracker_box', '004_sugar_box', '006_mustard_bottle', '010_potted_meat_can', '011_banana', '019_pitcher_base', '021_bleach_cleanser', '025_mug', '035_power_drill', '037_scissors']
just once?or some details which i missed?
from contactgen.
Halo is all you need!
hello , i want to know how to evaluation HO3D dataset?there is no details。maybe just evaluate
['003_cracker_box', '004_sugar_box', '006_mustard_bottle', '010_potted_meat_can', '011_banana', '019_pitcher_base', '021_bleach_cleanser', '025_mug', '035_power_drill', '037_scissors']
just once?or some details which i missed?
from contactgen.
Related Issues (12)
- pip install "git+https://github.com/facebookresearch/pytorch3d.git" falied HOT 5
- The problem about dataset HOT 1
- Why can't I reproduce the results from the same seed? HOT 3
- Contact map in inference HOT 1
- Can the data format use mano parameters? HOT 2
- demo.py cannot reproduce the REAME's result
- HO3D dataset HOT 3
- How to obtain evaluation metric? HOT 8
- GRAB pre-process
- Freihand dataset HOT 1
- need some help HOT 1
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