Spaces:
Runtime error
Runtime error
File size: 1,093 Bytes
12dddb7 83e8ad5 12dddb7 b5f5a04 83e8ad5 1298d48 |
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 |
import cv2
import numpy as np
from typing import List, Tuple, Dict, Any
def process_bridge_piers(frame: np.ndarray) -> Tuple[List[Dict[str, Any]], np.ndarray]:
"""
Detect bridge piers 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 < 400: # 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"Bridge Pier {i+1}",
"type": "bridge_pier"
})
return detections, frame |