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When I run the teleop_hand.py on Ubuntu, with firewall disabled, and open a https://vuer.ai?grid=False, it doesn't show the table etc.
Neither on Apple Vision Pro. See screenshot. Any way to debug this?
Thanks!
Erwin
(tv) [~/develop/g1/TeleVision/teleop]$ python teleop_hand.py
Importing module 'gym_38' (/home/ecoumans/develop/g1/isaacgym/python/isaacgym/_bindings/linux-x86_64/gym_38.so)
Setting GYM_USD_PLUG_INFO_PATH to /home/ecoumans/develop/g1/isaacgym/python/isaacgym/_bindings/linux-x86_64/usd/plugInfo.json
PyTorch version 2.3.0+cu121
Device count 1
/home/ecoumans/develop/g1/isaacgym/python/isaacgym/_bindings/src/gymtorch
Using /home/ecoumans/.cache/torch_extensions/py38_cu121 as PyTorch extensions root...
Emitting ninja build file /home/ecoumans/.cache/torch_extensions/py38_cu121/gymtorch/build.ninja...
Building extension module gymtorch...
Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N)
ninja: no work to do.
Loading extension module gymtorch...
Serving file:///home/ecoumans/develop/g1/TeleVision/teleop at /static
Visit: https://vuer.ai?grid=False
/home/ecoumans/miniconda3/envs/tv/lib/python3.8/site-packages/numpy/lib/twodim_base.py:295: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.
v = asanyarray(v)
[2025-02-11 12:36:07.414] [SAPIEN] [warning] A second engine will share the same internal structures with the first one. Arguments passed to constructor will be ignored.
Not connected to PVD
+++ Using GPU PhysX
Physics Engine: PhysX
Physics Device: cuda:0
GPU Pipeline: disabled
teleop_hand.py:111: DeprecationWarning: an integer is required (got type isaacgym._bindings.linux-x86_64.gym_38.DofDriveMode). Implicit conversion to integers using __int__ is deprecated, and may be removed in a future version of Python.
asset_options.default_dof_drive_mode = gymapi.DOF_MODE_POS
The text was updated successfully, but these errors were encountered:
When I run the teleop_hand.py on Ubuntu, with firewall disabled, and open a https://vuer.ai?grid=False, it doesn't show the table etc.
Neither on Apple Vision Pro. See screenshot. Any way to debug this?
Thanks!
Erwin
The text was updated successfully, but these errors were encountered: