def main():
client = get_mqtt_client()
client.on_message = on_message
client.connect(MQTT_BROKER, port=MQTT_PORT)
client.subscribe(SAVE_TOPIC)
time.sleep(4) # Wait for connection setup to complete
client.loop_forever()
def main():
client = get_mqtt_client()
client.on_message = on_message
client.connect(MQTT_Broker, port=MQTT_Port)
client.subscribe(MQTT_Topic)
time.sleep(4) # Wait for connection setup to complete
client.loop_forever()
def main():
client = get_mqtt_client()
# if MQTT_USER != "" and MQTT_PWD != "":
client.username_pw_set(MQTT_USER, MQTT_PWD)
client.connect(MQTT_BROKER, port=MQTT_PORT)
time.sleep(4) # Wait for connection setup to complete
client.loop_start()
# Open camera
camera = WebcamVideoStream(src=VIDEO_SOURCE).start()
# time.sleep(2) # Webcam light should come on if using one
while True:
frame = camera.read()
font = cv2.FONT_HERSHEY_SIMPLEX
datet = datetime.datetime.now().strftime("%d.%m.%Y, %H:%M:%S")
frame = cv2.putText(frame, datet, (10, 20), font, 0.7, (255, 255, 255),
1, cv2.LINE_AA)
# cv2.imshow('frame', frame)
np_array_RGB = opencv2matplotlib(frame) # Convert to RGB
image = Image.fromarray(np_array_RGB) # PIL image
byte_array = pil_image_to_byte_array(image)
client.publish(MQTT_TOPIC_CAMERA, byte_array, qos=MQTT_QOS)
now = get_now_string()
print(f"published frame on topic: {MQTT_TOPIC_CAMERA} at {now}")
def main():
db_conn = sqlite_connect(DB)
cursor = db_conn.cursor()
cursor.execute(CREATE_TABLE_DDL.format(table_name=DB_TABLE))
db_conn.commit()
db_conn.close()
client = get_mqtt_client()
client.on_message = on_message
client.connect(MQTT_BROKER, port=MQTT_PORT)
client.subscribe(SAVE_TOPIC)
time.sleep(4) # Wait for connection setup to complete
client.loop_forever()
def main():
client = get_mqtt_client()
client.connect(MQTT_BROKER, port=MQTT_PORT)
time.sleep(4) # Wait for connection setup to complete
client.loop_start()
# Open camera
camera = WebcamVideoStream(src=VIDEO_SOURCE).start()
time.sleep(2) # Webcam light should come on if using one
while True:
frame = camera.read()
np_array_RGB = opencv2matplotlib(frame) # Convert to RGB
image = Image.fromarray(np_array_RGB) # PIL image
byte_array = pil_image_to_byte_array(image)
client.publish(MQTT_TOPIC_CAMERA, byte_array, qos=MQTT_QOS)
now = get_now_string()
print(f"published frame on topic: {MQTT_TOPIC_CAMERA} at {now}")
time.sleep(1 / FPS)