Deploy your Computer Vision Train models to Raspberry Pi using Roboflow Inference .py

import cv2
import inference
import supervision as sv

annotator = sv.BoxAnnotator()

def render(predictions, image):
    print(predictions)
    
    image = annotator.annotate(
        scene=image, 
        detections=sv.Detections.from_roboflow(predictions)
    )

    cv2.imshow("Prediction", image)
    cv2.waitKey(1)

inference.Stream(
    source="webcam",
    model="rock-paper-scissors-sxsw/11",
    
    output_channel_order="BGR",
    use_main_thread=True,

    on_prediction=render
)