New to Sleap - Inference does not run

[polarlily]

Hi, this is my first time posting a github question in general. I'm running SLEAP for a mice behavioral project for my lab. However, even as I ran training and the program told me it was successful, I found that the inference only worked during the training once. Afterwards, I found running inference did not work and yielded this error.

Traceback (most recent call last): File "c:\windows\system32\sleap\sleap\gui\learning\dialog.py", line 731, in run items_for_inference=items_for_inference, File "c:\windows\system32\sleap\sleap\gui\learning\runners.py", line 559, in run_learning_pipeline save_viz=save_viz, File "c:\windows\system32\sleap\sleap\gui\learning\runners.py", line 618, in run_gui_training inference_params["controller_port"] = win.zmq_ports["controller_port"] TypeError: 'NoneType' object is not subscriptable

Is it that a file wasn't correctly installed? I'm not sure how to fix this error and I didn't see any past discussions with this error.

[eberrigan]

Hi @polarlily,

This issue should be fixed in the latest pre-release v1.4.1a2. Please follow the instructions to make a new conda environment with the updated conda package and let us know if you have any issues.

Thanks!

Elizabeth

[polarlily]

Thank you so much for letting me know about the update! I have followed the instructions for the quick install using the conda package, but unfortunately, the terminal doesn't progress past solving the environment. This is how the code looks:

(venv) (base) C:\Users\tobi>conda create -y -n sleap_v1.4.1a2 -c conda-forge -c nvidia -c sleap/label/dev -c anaconda sleap=1.4.1a2 Collecting package metadata (current_repodata.json): done Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: -

Because of that, I used the pip install instead. While that method was completed successfully, when I tried to pull the gui with the "sleap-label" command, this error occurred:

INFO:albumentations.check_version:Failed to check for updates due to an unexpected error: module 'urllib.request' has no attribute 'HTTPSHandler' Traceback (most recent call last): File "C:\ProgramData\Anaconda3\lib\runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "C:\ProgramData\Anaconda3\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "C:\Users\tobi\venv\Scripts\sleap-label.exe\__main__.py", line 4, in <module> File "c:\users\tobi\venv\lib\site-packages\sleap\__init__.py", line 14, in <module> import sleap.nn File "c:\users\tobi\venv\lib\site-packages\sleap\nn\__init__.py", line 5, in <module> import sleap.nn.evals File "c:\users\tobi\venv\lib\site-packages\sleap\nn\evals.py", line 41, in <module> from sleap.nn.inference import ( File "c:\users\tobi\venv\lib\site-packages\sleap\nn\inference.py", line 42, in <module> import tensorflow_hub as hub File "c:\users\tobi\venv\lib\site-packages\tensorflow_hub\__init__.py", line 113, in <module> from tensorflow_hub.config import _run, _get_extra_deps # pylint: disable=g-multiple-import File "c:\users\tobi\venv\lib\site-packages\tensorflow_hub\config.py", line 17, in <module> from tensorflow_hub import compressed_module_resolver File "c:\users\tobi\venv\lib\site-packages\tensorflow_hub\compressed_module_resolver.py", line 22, in <module> from tensorflow_hub import resolver File "c:\users\tobi\venv\lib\site-packages\tensorflow_hub\resolver.py", line 22, in <module> import ssl File "C:\ProgramData\Anaconda3\lib\ssl.py", line 98, in <module> import _ssl # if we can't import it, let the error propagate ImportError: DLL load failed while importing _ssl: The specified module could not be found.

Before updating, I did make sure to install sleap on a fresh environment as I uninstalled the previous environment. How could I fix this?

[polarlily]

I managed to get the new update installed.

It seems like the problem was that my conda and python were outdated. However, when I tried to update conda, it would not complete the update, leaving it at the same version. Running the following code allowed both python and conda to update:

conda update -n base -c defaults conda --repodata-fn=repodata.json

Afterwards. I was able to install and set the libmamba-solver and update to the newest release of sleap via conda.