Debounce mqtt publish function

README.md

@@ -1,7 +1,15 @@
+# CVZone MQTT Tracker
 
 
-Install on Raspberry Pi
+## Install on Raspberry Pi
+*Required*: Raspberry Pi OS 64-bit
 
-https://github.com/superuser789/MediaPipe-on-RaspberryPi/issues/10#issuecomment-1079703581
+Set the following options in `raspi-config`:
+ - GPU Memory -> 256
+ - Legacy Camera Stack -> Enabled
 
-sudo apt install python3-opencv
+```
+sudo apt update
+sudo apt install pyhton3 python3-opencv
+sudo pip3 install -r requirements_rpi.txt
+```

debounce.py

@@ -0,0 +1,26 @@
+import threading
+
+
+def debounce(wait_time):
+    """
+    Decorator that will debounce a function so that it is called after wait_time seconds
+    If it is called multiple times, will wait for the last call to be debounced and run only this one.
+    See the test_debounce.py file for examples
+    """
+
+    def decorator(function):
+        def debounced(*args, **kwargs):
+            def call_function():
+                debounced._timer = None
+                return function(*args, **kwargs)
+
+            if debounced._timer is not None:
+                debounced._timer.cancel()
+
+            debounced._timer = threading.Timer(wait_time, call_function)
+            debounced._timer.start()
+
+        debounced._timer = None
+        return debounced
+
+    return decorator

requirements_rpi.txt

@@ -0,0 +1,6 @@
+cvzone==1.5.6
+mediapipe==0.8.9.1
+numpy==1.22.3
+opencv-contrib-python==4.5.5.64
+opencv-python==4.5.5.64
+paho-mqtt==1.6.1

tracker.py

@@ -3,6 +3,8 @@ import cv2
 import paho.mqtt.client as mqtt
 from cvzone.FaceDetectionModule import FaceDetector
 
+from debounce import debounce
+
 
 class Tracker(object):
     def __init__(self, mqtt_address="", mqtt_port=1883, mqtt_client_id="", show_img=False):
@@ -31,6 +33,7 @@ class Tracker(object):
         self.is_mqtt_connected = True
         self.mqtt_client.publish("home/" + self.mqtt_client_id + "/status", "connected")
 
+    @debounce(0.8)
     def mqtt_publish(self, topic, payload):
         self.mqtt_client.publish(topic, payload)
 
@@ -43,7 +46,7 @@ class Tracker(object):
         self.img = img
 
     def detect_face(self):
-        if self.img:
+        if self.img is not None:
             img, face_bboxs = self.face_detector.findFaces(self.img, draw=self.show_img)
             if face_bboxs:
                 if self.show_img: