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1ae016f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | import cv2
import numpy as np
from PIL import Image
from ultralytics import YOLO
from scripts.model_loader import ModelLoader
yolo_model = None
def get_yolo_model():
global yolo_model
if yolo_model is None:
loader = ModelLoader()
yolo_path = loader.get_model_path("yolo")
yolo_model = YOLO(str(yolo_path))
return yolo_model
def get_yolo_damage_boxes(image_path, output_path):
try:
image = Image.open(image_path).convert("RGB")
model = get_yolo_model()
results = model.predict(
source=image,
conf=0.05,
imgsz=640,
verbose=False
)
result = results[0]
boxes = result.boxes
detections = []
if boxes is not None and len(boxes) > 0:
for box in boxes:
conf = float(box.conf[0])
cls_id = int(box.cls[0])
label = yolo_model.names[cls_id]
x1, y1, x2, y2 = map(int, box.xyxy[0])
detections.append({
"label": label,
"confidence": round(conf, 4),
"box": [x1, y1, x2, y2]
})
plotted_bgr = result.plot()
plotted_rgb = plotted_bgr[..., ::-1]
cv2.imwrite(output_path, plotted_rgb)
return {
"detections": detections,
"total_detections": len(detections),
"message": "No damage detected" if len(detections) == 0 else "Detections found"
}
except Exception as e:
raise RuntimeError(f"YOLO failed: {str(e)}") |