Enhance dayglo color detection and resolve MQTT client deprecation warning

- Added broader color ranges for dayglo green and dayglo yellow to improve detection accuracy.
- Updated MQTT client to use a unique client ID to avoid deprecated callback usage.

dayglo_detector/dayglo_detector.py

@@ -22,8 +22,11 @@ last_rating = 0
 
 # Default color thresholds for dayglo detection
 # Fine-tune color thresholds for dayglo detection
-LOWER_COLOR = np.array([25, 150, 150])
-UPPER_COLOR = np.array([35, 255, 255])
+# Fine-tune color thresholds for dayglo detection
+LOWER_COLOR_GREEN = np.array([60, 100, 100])
+UPPER_COLOR_GREEN = np.array([90, 255, 255])
+LOWER_COLOR_YELLOW = np.array([20, 100, 100])
+UPPER_COLOR_YELLOW = np.array([35, 255, 255])
 
 # Track if the initial snapshot has been processed
 initial_snapshot_processed = False
@@ -101,7 +104,9 @@ def calculate_dayglo_rating(image):
 
     print("Calculating dayglo rating...")
     hsv_image = cv2.cvtColor(cropped_image, cv2.COLOR_BGR2HSV)
-    mask = cv2.inRange(hsv_image, LOWER_COLOR, UPPER_COLOR)
+    mask_green = cv2.inRange(hsv_image, LOWER_COLOR_GREEN, UPPER_COLOR_GREEN)
+    mask_yellow = cv2.inRange(hsv_image, LOWER_COLOR_YELLOW, UPPER_COLOR_YELLOW)
+    mask = cv2.bitwise_or(mask_green, mask_yellow)
     dayglo_pixels = cv2.countNonZero(mask)
     total_pixels = image.shape[0] * image.shape[1]
     rating = (dayglo_pixels / total_pixels) * 100
@@ -131,7 +136,7 @@ if len(sys.argv) > 1:
         print(f"File not found: {image_file}")
 
 # Set up MQTT client for normal operation
-client = mqtt.Client(protocol=mqtt.MQTTv5)
+client = mqtt.Client(client_id="dayglo_detector", protocol=mqtt.MQTTv5)
 client.username_pw_set(MQTT_USERNAME, MQTT_PASSWORD)
 client.on_connect = on_connect
 client.on_message = on_message