a5141a53be
* Add X struct to handle input and preprocessing *Add Ops struct to manage common operations * Use SIMD (fast_image_resize) to accelerate model pre-processing and post-processing |
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| README.md | ||
| demo.png | ||
| main.rs | ||
README.md
Quick Start
cargo run -r --example yolo-world
Donwload or Export ONNX Model
-
Download
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Or generate your own
yolo-worldmodel and then Export- Installation
pip install -U ultralytics- Generate
from ultralytics import YOLO # Initialize a YOLO-World model model = YOLO('yolov8m-worldv2.pt') # Define custom classes model.set_classes(["shoes"]) # Save the model with the defined offline vocabulary model.save("custom_yolov8m-world-v2.pt")- Export
yolo export model=custom_yolov8m-world-v2.pt format=onnx simplify dynamic
Results
