prescription_validation/zone_detector.py

# prescription_validation/zone_detector.py
import cv2
import numpy as np
from ultralytics import YOLO

class ZoneDetector:
    def __init__(self, model_path: str = "models/signature_model.pt"):
        try:
            self.model = YOLO(model_path)
            print(f"✅ Loaded local YOLO model from '{model_path}'")
        except Exception as e:
            self.model = None
            print(f"❌ Failed to load local YOLO model from '{model_path}'. Please ensure the model file exists.")

    def detect(self, img: np.ndarray) -> list[dict]:
        if not self.model: return []
        rgb_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
        results = self.model(rgb_img, verbose=False)
        detections = []
        for box in results[0].boxes:
            x1, y1, x2, y2 = box.xyxy[0].tolist()
            class_id = int(box.cls[0])
            detections.append({
                "label": self.model.names[class_id],
                "bbox": tuple(map(int, [x1, y1, x2, y2])),
            })
        return detections