Closed egeozsoy closed 3 years ago
It depends on the calibration results. The basic idea is to calculate a 3D bounding box which covers the whole motion space. Then SPACE_CENTER denotes the center coordinate of the box and SPACE_SIZE denotes the lengths of the box.
I see thank you. In that case making this box a little bit bigger than it needs to be should not degrade the performance right?
That's right. But you may need to consider the size of each voxel (which depends on the box size and number of voxels) as that affects the quantization error.
hi, @egeozsoy .What's your trainsets and testsets? Your custom datasets or open-source datasets? Did you implement the cross-datasets evaluation.
@egeozsoy
@CHUNYUWANG
I am also facing the same issue with a custom datasets? Could you guys make a simple explanation the details regarding the parameters for:
MULTI_PERSON:
SPACE_SIZE:
- 12000.0
- 12000.0
- 20000
SPACE_CENTER:
- 3000.0
- 4500.0
- 1000.0
INITIAL_CUBE_SIZE:
- 80
- 80
- 20
# MAX_PEOPLE_NUM: 1
THRESHOLD: 0.3
PICT_STRUCT:
GRID_SIZE:
- 2000.0
- 2000.0
- 2000.0
CUBE_SIZE:
- 64
- 64
- 64
I have a custom dataset that I want to apply voxelpose to. But there is no explanation for how the values SPACE_SIZE and SPACE_CENTER were selected for the 3 datasets, therefore it is not clear to me what to set them to for my custom dataset