v0.9.13

🚀 Added

YOLO World 🤝 workflows

We've introduced Yolo World model into workflows making it trivially easy to use the model as any other object-detection model ☺️

To try this out, install dependencies first:

pip install inference-sdk inference-cli

Start the server:

inference server start

And run the script:

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(api_url="http://127.0.0.1:9001", api_key="YOUR_API_KEY")

YOLO_WORLD = {
    "specification": {
        "version": "1.0",
        "inputs": [
            { "type": "InferenceImage", "name": "image" },
            { "type": "InferenceParameter", "name": "classes" },
            { "type": "InferenceParameter", "name": "confidence", "default_value": 0.003 },
        ],
        "steps": [
            {
                "type": "YoloWorld",
                "name": "step_1",
                "image": "$inputs.image",
                "class_names": "$inputs.classes",
                "confidence": "$inputs.confidence",
            },
        ],
        "outputs": [
            { "type": "JsonField", "name": "predictions", "selector": "$steps.step_1.predictions" },
        ]   
    }
}

response = CLIENT.infer_from_workflow(
    specification=YOLO_WORLD["specification"],
    images={
        "image": frame,
    },
    parameters={
        "classes": ["yellow filling", "black hole"]  # each time you may specify different classes!
    }
)

Check details in documentation 📖 and discover usage examples.

🏆 Contributors

@PawelPeczek-Roboflow (Paweł Pęczek)

Full Changelog: v0.9.12...v0.9.13