79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
import cv2
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import paho.mqtt.client as mqtt
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from cvzone.FaceDetectionModule import FaceDetector
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from debounce import debounce
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class Tracker(object):
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def __init__(self, mqtt_address="", mqtt_port=1883, mqtt_client_id="", show_img=False):
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self.show_img = show_img
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self.min_face_score = 0.5
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self.cap = cv2.VideoCapture(0)
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self.face_detector = FaceDetector()
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self.img = None
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self.face_found = False
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self.mqtt_address = mqtt_address
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self.mqtt_port = mqtt_port
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self.mqtt_client_id = mqtt_client_id
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self.is_mqtt_connected = False
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self.mqtt_client = mqtt.Client(mqtt_client_id)
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self.mqtt_connect()
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def mqtt_connect(self):
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self.mqtt_client.will_set("home/" + self.mqtt_client_id + "/status", "disconnected", 0, False)
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self.mqtt_client.on_connect = self.mqtt_on_connect
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self.mqtt_client.connect_async(self.mqtt_address, self.mqtt_port, 60)
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self.mqtt_client.loop_start()
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def mqtt_on_connect(self, client, userdata, flags, rc):
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print("Connected with result code " + str(rc))
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self.is_mqtt_connected = True
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self.mqtt_client.publish("home/" + self.mqtt_client_id + "/status", "connected")
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@debounce(0.8)
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def mqtt_publish(self, topic, payload):
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self.mqtt_client.publish(topic, payload)
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def release(self):
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self.cap.release()
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cv2.destroyAllWindows()
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def read_img(self):
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success, img = self.cap.read()
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self.img = img
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def detect_face(self):
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if self.img is not None:
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img, face_bboxs = self.face_detector.findFaces(self.img, draw=self.show_img)
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if face_bboxs:
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if self.show_img:
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self.img = img
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center = face_bboxs[0]["center"]
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cv2.circle(self.img, center, 5, (255, 0, 255), cv2.FILLED)
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score = face_bboxs[0]["score"][0]
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return score >= self.min_face_score
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else:
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print('Image not usable')
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return False
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def loop(self):
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self.read_img()
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# Look for faces
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face_detected = self.detect_face()
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if face_detected:
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if not self.face_found:
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self.mqtt_publish("home/" + self.mqtt_client_id + "/face_detected", 1)
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self.face_found = True
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else:
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if self.face_found:
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self.mqtt_publish("home/" + self.mqtt_client_id + "/face_detected", 0)
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self.face_found = False
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if self.show_img:
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cv2.imshow("Image", self.img)
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cv2.waitKey(1)
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