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Voxel volume size: 2565 x 4061 x 1821 - # points: 18,968,382,765
I used my own dataset, why my numbers are so large. But my dataset is not very big.
What is the reason for this
@LINFF1023 it can depend on two things, your voxel size may be large; and your voxelization algorithm, which is our tsd-fusion. Try a different voxel size. For one thing your dataset might small but dense.
When I run my own dataset, I have problems that I don't understand。
What should I do?
Initializing voxel volume...
Voxel volume size: 62 x 39 x 54 - # points: 130,572
Fusing frame 1/228
Traceback (most recent call last):
File "/snap/pycharm-professional/306/plugins/python/helpers/pydev/pydevd.py", line 1496, in _exec
pydev_imports.execfile(file, globals, locals) # execute the script
File "/snap/pycharm-professional/306/plugins/python/helpers/pydev/_pydev_imps/_pydev_execfile.py", line 18, in execfile
exec(compile(contents+"\n", file, 'exec'), glob, loc)
File "/home/wang/tsdf-fusion-python-master/demo.py", line 55, in <module>
tsdf_vol.integrate(color_image, depth_im, cam_intr, cam_pose, obs_weight=1.)
File "/home/wang/tsdf-fusion-python-master/fusion.py", line 218, in integrate
im_h, im_w = depth_im.shape
ValueError: too many values to unpack (expected 2)
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