Getting a ModuleNotFoundError 'tracking' despite installing everything in a virtualenv

[sandip-meshh]

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• I have searched the Yolo Tracking issues and found no similar bug report.

Question

Running this on a RaspberryPi 4B 1GB, created a Python 3.10.14 virtualenv and pip installed boxmot as well as the poetry install with yolo from the installation page. I get the following error when I run the tracking code from the root directory inside the virtualenv:

Traceback (most recent call last):
  File "/home/meshh/code/boxmot/tracking/track.py", line 18, in <module>
    from tracking.detectors import get_yolo_inferer
ModuleNotFoundError: No module named 'tracking'

The same setup worked on my Macbook. Does the pipeline work on arm64 embedded platforms?

[mikel-brostrom]

Notice that it is not enough to install boxmot in your case. Check the README

[sandip-meshh]

Thanks for your quick reply @mikel-brostrom !

Not sure what I'm missing to be honest - I have followed all the steps mentioned below:

[mikel-brostrom]

A pip installation of BoxMOT does not contain the tracking folder. You would need a full repo cloning for this:

git clone https://github.com/mikel-brostrom/boxmot.git
cd boxmot
pip install poetry
poetry install --with yolo  # installed boxmot + yolo dependencies
poetry shell  # activates the newly created environment with the installed dependencies

[sandip-meshh]

I did clone the full repo and ran all the above commands already in a pyenv-managed virtualenv. Not sure what I'm missing - need to review it again..

[sandip-meshh]

So, when I run the poetry install inside the virtualenv, using the poetry env use 3.10 (my system Python version). The torch installation fails without any helpful description:

  - Installing torch (2.2.2+cu121): Failed

  RuntimeError

  Unable to find installation candidates for torch (2.2.2+cu121)

  at ~/.pyenv/versions/3.10.14/envs/cv-3.10/lib/python3.10/site-packages/poetry/installation/chooser.py:74 in choose_for
       70│
       71│             links.append(link)
       72│
       73│         if not links:
    →  74│             raise RuntimeError(f"Unable to find installation candidates for {package}")
       75│
       76│         # Get the best link
       77│         chosen = max(links, key=lambda link: self._sort_key(package, link))
       78│

Cannot install torch.

I'm not sure why its trying to install the 2.2.2+cu121 version when 2.2.2 exists/is installed on the RPi.

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