YOLOv9 Object Detection | yolov9 python tutorial | Yolov9 tutorial | Yolov9 python

Code: github.com/deasadiqbal/Practi...
Welcome to your journey into the remarkable world of object detection with YOLOv9! This state-of-the-art algorithm lets you identify objects in images with lightning speed and stunning accuracy.
In this beginner-friendly tutorial, you'll:
Download pre-trained YOLOv9 weights to kickstart your detection tasks.
Set up your environment effortlessly.
Run object detection on sample images and witness the power in action.
Visualize results with clear bounding boxes.
Whether you're new to the field or a seasoned developer, Using the powerful capabilities of YOLOv9, we demonstrate how to detect various objects in images and visualize the results with bounding boxes. Whether you're a beginner or an experienced developer, this tutorial provides valuable insights into the world of object detection and the practical application of deep learning techniques.
YOLOv9 Object Detection
Practical application of Deep Learning techniques in computer vision
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[@fabiodagostino7529]

Does it work with videos too? If on the source I give a .mp4 file instead of an image?

[@deasadiqbal]

Yes, it work with videos as well.

[@user-rx7bu2on9r]

Your video was very helpful! I have one question. I am already using yolov8. If I install requirements.txt for yolov9, will there be a problem running yolov8 that I am already using? I am using the conda virtual environment on Ubuntu 20.04. thank you

[@deasadiqbal]

Thank you for your feedback and for your question, I suggest you create a separate environment for YOLOv9 because different versions of dependencies may conflict with your existing YOLOv8 environment, and cause issues during execution.