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import cv2
import numpy as np
from typing import List, Tuple, Dict, Any
def process_signages(frame: np.ndarray) -> Tuple[List[Dict[str, Any]], np.ndarray]:
"""
Detect road signages in the frame.
Args:
frame: Input frame as a numpy array.
Returns:
Tuple of (list of detections, annotated frame).
"""
# Convert to grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# Apply edge detection
edges = cv2.Canny(gray, 50, 150)
# Find contours
contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
detections = []
for i, contour in enumerate(contours):
area = cv2.contourArea(contour)
if area < 200: # Ignore small contours
continue
x, y, w, h = cv2.boundingRect(contour)
x_min, y_min, x_max, y_max = x, y, x + w, y + h
detections.append({
"box": [x_min, y_min, x_max, y_max],
"label": f"Signage {i+1}",
"type": "signage"
})
return detections, frame
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