[bin] Fixing bin scripts and adding bus check

bin/.bin/checkschoolbus.py

@@ -0,0 +1,111 @@
+#!/usr/bin/env -S uv run --script
+# /// script
+# requires-python = ">=3.11"
+# dependencies = [
+# "requests",
+# "opencv-python",
+# "numpy",
+# "ntfy",
+# ]
+# ///
+import requests
+import cv2
+import numpy as np
+import time
+
+# URL for the video stream
+stream_url = 'http://loge.local:8083/stream'
+public_url = "https://mail.see.unbl.ink/stream"
+
+# Load a template image of a school bus (you need to have this template)
+template = cv2.imread('/home/powellc/var/inbox/school_bus_template.jpg', 0)
+w, h = template.shape[::-1]
+
+# Open the stream using OpenCV
+cap = cv2.VideoCapture(stream_url)
+
+# Check if the stream opened successfully
+if not cap.isOpened():
+    print("Error: Could not open video stream.")
+    exit()
+
+    # Configure ntfy server and topic
+ntfy_server = "https://ntfy.unbl.ink"  # Replace with your ntfy server
+topic = "school-bus-alert"  # Replace with your desired topic
+
+# Send notification function with custom server and topic
+def send_ntfy_notification(title, message):
+    # Construct the full URL with topic (this is how ntfy expects the URL)
+    url = f"{ntfy_server}"
+
+    # Payload for the notification
+    headers = {"Title": title}
+    payload = {
+        "topic": topic,
+        "message": message,
+    }
+
+    # Send the POST request to the ntfy server
+    response = requests.post(url, json=payload, headers=headers)
+
+    if response.status_code == 200:
+        print("Notification sent successfully.")
+    else:
+        print(f"Failed to send notification: {response.status_code} - {response.text}")
+
+while True:
+    # Read a frame from the stream
+    ret, frame = cap.read()
+
+    if not ret:
+        print("Failed to capture frame.")
+        continue
+
+    # Convert the frame to grayscale for template matching
+    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
+
+    # Perform template matching on the current frame
+    res = cv2.matchTemplate(gray_frame, template, cv2.TM_CCOEFF_NORMED)
+    threshold = 0.80  # Set your threshold for matching
+    loc = np.where(res >= threshold)
+
+    # If a match is found, send a notification
+    if len(loc[0]) > 0:
+        print("Bus detected!")
+
+        # Save the frame with bounding boxes to a file in /tmp
+        timestamp = time.strftime("%Y%m%d_%H%M")
+        filename = f"school_bus_detection_{timestamp}.jpg"
+        output_path = f"/media/photos/misc/school_bus/{filename}"
+
+        cv2.imwrite(output_path, frame)
+        print(f"Frame with match locations saved to {output_path}")
+
+        # Send notification using ntfy (with both title and message)
+        title = "School Bus Detected!"
+        message = f"Check the video feed at: {public_url}\nMatched image at https://files.lab.unbl.ink/school_bus/{filename}"
+
+        # Send the notification with both title and message
+        send_ntfy_notification(title, message)
+
+        # Draw bounding boxes on the detected matches
+        for pt in zip(*loc[::-1]):  # Switch x and y for rectangle drawing
+            cv2.rectangle(frame, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)
+        
+
+        print("Pausing for 3 minutes to let the bus leave...")
+        time.sleep(180)  # Sleep for 3 minutes (180 seconds)
+    else:
+        print("No bus found, sleeping for 2 seconds")
+
+    # Optional: Display the frame with the match location (for debugging)
+    #for pt in zip(*loc[::-1]):
+    #    cv2.rectangle(frame, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)
+
+    ## Display the frame (for debugging)
+    #cv2.imshow('Frame', frame)
+
+    time.sleep(2)  # two seconds so we don't spam the camera
+    # Break the loop on key press (e.g., 'q' to quit)
+    if cv2.waitKey(1) & 0xFF == ord('q'):
+        break