Installation Troubleshooting#

Issues with Qt#

If you have any issue with the default Qt binding (PyQt6) you can switch to another Qt binding for Python:

  1. Uninstall the default PyQt6 if it was installed:

    python -m pip uninstall PyQt6

  2. Install one of the other Qt bindings for Python:

    Alternative Qt bindings for Python#
    # choose one of the following options
python -m pip install PyQt5
python -m pip install PySide6
python -m pip install PySide2

  3. Install idtracker.ai without the PyQt6 dependency in case it was not installed yet:

    # install idtrackerai without any dependency
python -m pip install idtrackerai --no-deps
# install the rest of the dependencies except PyQt6
python -m pip install numpy rich h5py scipy opencv-python-headless qtpy superqt toml matplotlib packaging psutil scikit-learn requests deprecated

Note

If no Qt binding works on your computer, you can still track directly from a toml file without running the GUI with the --track flag (see Terminal usage) and use the non-GUI Tools.

Not recognized command#

If you have just installed idtracker.ai and encounter a short error like No such file or directory or Not recognized command when running idtrackerai_test, try reactivating the Conda environment:

conda deactivate
conda activate idtrackerai

Could not load library libcudnn_cnn_infer.so.8#

If idtrackerai_test starts but after a few seconds you see an error like Could not load library libcudnn_cnn_infer.so.8, it means you are missing the Cuda Toolkit dependency. Install it with:

conda install cudatoolkit=11.8 -c conda-forge

qt.qpa.plugin: Could not load the Qt platform plugin “xcb”#

Refer to this thread for more information. Alternatively, on Ubuntu, you can solve the problem by running sudo apt install libxcb-cursor0.

module ‘torch’ has no attribute ‘_six’#

In MacOS, running

python -m pip install --upgrade torch

seems to fix the issue.

ImportError: cannot import name COMMON_SAFE_ASCII_CHARACTERS from charset_normalizer.constant#

From Stack Overflow:

python -m pip install chardet

No graphic device was found available#

If your computer has an NVIDIA or AMD GPU, or uses MacOS >= 12.3 with an M1, M2, or AMD GPU, and idtrackerai cannot find the specific device available, it means your PyTorch installation is malfunctioning.

To fix this, you need to Uninstall the entire Conda environment and try again. Carefully read the PyTorch instructions based on your machine. Getting PyTorch to use GPU acceleration can sometimes be tricky.

Any other error

Send us your error to info@idtracker.ai and we will assist you.