inference_example.py

# Sample inference script
from ultralytics import YOLO
import json

# Load configuration
with open('config.json', 'r') as f:
    config = json.load(f)

# Load model
model = YOLO('model.pt')

# Run inference with config parameters
results = model(
    'your_image.jpg',
    conf=config['confidence_threshold'],
    iou=config['iou_threshold'],
    imgsz=config['input_size']
)

# Process results
for result in results:
    for box in result.boxes:
        class_id = int(box.cls)
        class_name = config['id2label'][str(class_id)]
        confidence = float(box.conf)
        print(f"Detected: {class_name} ({confidence:.2%})")