Example for YOLO-World - ONNX

[AtiChetsurakul]

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• I have searched the YOLOv8 issues and found no similar feature requests.

Description

In examples directories, I would like to request a example on how to use a ONNX format of yolo-world. Thank you.

Use case

Just like the Yolo- V8 example.

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @AtiChetsurakul, thank you for your interest in Ultralytics YOLOv8 🚀! We recommend a visit to the Docs for new users where you can find many Python and CLI usage examples and where many of the most common questions may already be answered.

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Install

Pip install the ultralytics package including all requirements in a Python>=3.8 environment with PyTorch>=1.8.

pip install ultralytics

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• Docker Image. See Docker Quickstart Guide

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[glenn-jocher]

Hello! Thanks for reaching out with your request for an ONNX example with YOLO-World. Here's a quick example of how you can use the ONNX format of the YOLO-World model:

import onnxruntime as ort
import numpy as np

# Load the ONNX model
session = ort.InferenceSession("path_to_yolo-world.onnx")

# Assuming you have a preprocessed image
img = np.random.rand(1, 3, 640, 640).astype("float32")

# Run inference
outputs = session.run(None, {'input': img})

# Process outputs
print(outputs)

This simple script loads the YOLO-World model in ONNX format, executes inference on a dummy image, and prints the outputs. Make sure to replace "path_to_yolo-world.onnx" with the actual path to your ONNX model file and also replace the dummy input image with your actual preprocessed image data.

I hope this helps! If you need more details or have any other questions, feel free to ask. 😊