ModuleNotFoundError: No module named 'torch'

[LeoJuh]

When I try to open the train gui using the command python -m "src.GUI.train_GUI", I get the error message:

Traceback (most recent call last):
File "C:\Users\LeoJu\anaconda3\envs\SUPPORT\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\LeoJu\anaconda3\envs\SUPPORT\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "C:\Users\LeoJu\Projects\SUPPORT_videos\SUPPORT-main\src\GUI\train_GUI.py", line 24, in
import torch
ModuleNotFoundError: No module named 'torch'

I've followed the installation guide completely, so I am would greatly appreciate if someone could help me figure out what is going wrong.

[EOMMINHO]

It seems that PyTorch is not currently installed in your Conda environment.
Could you please run the conda list command and share the list of installed libraries?

[LeoJuh]

Thank you, I installed pytorch and didn't get the same error message. However, now after running "python -m src.GUI.train_GUI", I get the error message:

Traceback (most recent call last):
File "C:\Users\LeoJu\anaconda3\envs\SUPPORT\lib\runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "C:\Users\LeoJu\anaconda3\envs\SUPPORT\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "C:\Users\LeoJu\Projects\SUPPORT_videos\SUPPORT-main\src\GUI\train_GUI.py", line 33, in
from src.utils.dataset_pyqt import DatasetSupport_test_stitch
File "C:\Users\LeoJu\Projects\SUPPORT_videos\SUPPORT-main\src\utils\dataset_pyqt.py", line 6, in
from src.utils.dataset import DatasetSUPPORT
File "C:\Users\LeoJu\Projects\SUPPORT_videos\SUPPORT-main\src\utils\dataset.py", line 4, in
import zarr
ModuleNotFoundError: No module named 'zarr'

[EOMMINHO]

The code has been updated to include the zarr library.
Please install it by running pip install zarr and try again.

[LeoJuh]

Thank you, I installed zarr. However, now when trying to open the train GUI I get the error:

TypeError: Descriptors cannot be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:

1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).