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resend availability if disconnected
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@ -46,9 +46,10 @@ Access the mjpeg stream at http://localhost:5000
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- [x] Add last will and availability for MQTT
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- [x] Add last will and availability for MQTT
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- [ ] Build tensorflow from source for CPU optimizations
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- [ ] Build tensorflow from source for CPU optimizations
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- [ ] Add ability to turn detection on and off via MQTT
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- [ ] Add ability to turn detection on and off via MQTT
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- [ ] MQTT reconnect if disconnected (and resend availability message)
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- [x] MQTT reconnect if disconnected (and resend availability message)
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- [ ] MQTT motion occasionally gets stuck ON
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- [ ] MQTT motion occasionally gets stuck ON
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- [ ] Output movie clips of people for notifications, etc.
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- [ ] Output movie clips of people for notifications, etc.
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- [ ] Integrate with homeassistant push camera
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- [x] Store highest scoring person frame from most recent event
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- [x] Store highest scoring person frame from most recent event
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- [x] Add a max size for motion and objects (height/width > 1.5, total area > 1500 and < 100,000)
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- [x] Add a max size for motion and objects (height/width > 1.5, total area > 1500 and < 100,000)
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- [x] Make motion less sensitive to rain
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- [x] Make motion less sensitive to rain
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@ -139,12 +139,15 @@ def main():
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object_cleaner.start()
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object_cleaner.start()
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# connect to mqtt and setup last will
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# connect to mqtt and setup last will
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def on_connect(client, userdata, flags, rc):
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print("On connect called")
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# publish a message to signal that the service is running
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client.publish(MQTT_TOPIC_PREFIX+'/available', 'online', retain=True)
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client = mqtt.Client()
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client = mqtt.Client()
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client.on_connect = on_connect
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client.will_set(MQTT_TOPIC_PREFIX+'/available', payload='offline', qos=1, retain=True)
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client.will_set(MQTT_TOPIC_PREFIX+'/available', payload='offline', qos=1, retain=True)
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client.connect(MQTT_HOST, 1883, 60)
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client.connect(MQTT_HOST, 1883, 60)
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client.loop_start()
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client.loop_start()
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# publish a message to signal that the service is running
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client.publish(MQTT_TOPIC_PREFIX+'/available', 'online', retain=True)
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# start a thread to publish object scores (currently only person)
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# start a thread to publish object scores (currently only person)
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mqtt_publisher = MqttObjectPublisher(client, MQTT_TOPIC_PREFIX, objects_parsed,
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mqtt_publisher = MqttObjectPublisher(client, MQTT_TOPIC_PREFIX, objects_parsed,
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