Can I load YOLOv5 model without Ultralytics about yolov5

[glenn-jocher]

@Munia-AK hi there! 😊

Loading the YOLOv5 model without the Ultralytics package directly isn't supported as the model and the library are tightly integrated. It's essential to use our software to ensure all features and functionalities of YOLOv5 work correctly.

However, you could consider using a virtual environment with Python 3.8 or later while still using Python 3.6 for OpenCV in another environment on your Jetson Nano. This could potentially help you solve the compatibility issues without needing to compromise on the camera input or the performance of YOLOv5.

Let me know if this solution helps or if you have any more questions!

[Munia-AK]

Hello @glenn-jocher! Thank you for your quick response
I tried doing this but since I'm using Jetson Nano, Python 3.6 is being the default interpreter so even when installing python3.8 and making it as default interpreter I still can't import opencv for python3.8
I don't know if I'm missing something but according to what I found in the NVIDIA forums, Jet Pack 4 won't support installing packages for python 3.8, so when I'm building OpenCV using the shell script that JetsonHacks repository is providing I saw that inside the script there are these lines:

Python 2.7

sudo apt-get install -y python-dev python-numpy python-py python-pytest

Python 3.6

sudo apt-get install -y python3-dev python3-numpy python3-py python3-pytest

so I tried replacing python3 with python 3.8 but I get the error mentioning that the wanted packages can't be found
I will try find a solution for the problem otherwise I will just change to YOLOv4
have a nice day!

[glenn-jocher]

Hello @Munia-AK! 🌟

It seems like the environment constraints on the Jetson Nano are indeed quite challenging. If the package installation persists to be an issue with Python 3.8, and modifying the setup scripts isn’t solving it, an alternate might be to utilize Docker containerization where you could manage different Python environments more flexibly.

Alternatively, redirecting to YOLOv4 is a practical route if it aligns better with the system constraints you're dealing with.

Best of luck, and don't hesitate to reach out if you have further questions or need additional assistance! Have a great day! 😊