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cleanup
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@ -83,6 +83,8 @@ RUN (apt-get autoremove -y; \
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ENV PYTHONPATH "$PYTHONPATH:/usr/local/lib/python3.5/dist-packages/tensorflow/models/research:/usr/local/lib/python3.5/dist-packages/tensorflow/models/research/slim"
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RUN cd /usr/local/lib/python3.5/dist-packages/tensorflow/models/research && protoc object_detection/protos/*.proto --python_out=.
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WORKDIR /opt/frigate/
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ADD frigate frigate/
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COPY detect_objects.py .
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CMD ["python3", "-u", "detect_objects.py"]
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25
README.md
25
README.md
@ -29,12 +29,31 @@ docker run --rm \
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-e RTSP_URL='<rtsp_url>' \
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-e REGIONS='<box_size_1>,<x_offset_1>,<y_offset_1>,<min_person_size_1>,<min_motion_size_1>,<mask_file_1>:<box_size_2>,<x_offset_2>,<y_offset_2>,<min_person_size_2>,<min_motion_size_2>,<mask_file_2>' \
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-e MQTT_HOST='your.mqtthost.com' \
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-e MQTT_MOTION_TOPIC='cameras/1/motion' \
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-e MQTT_OBJECT_TOPIC='cameras/1/objects' \
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-e MQTT_OBJECT_CLASSES='person,car,truck' \
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-e MQTT_TOPIC_PREFIX='cameras/1' \
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-e DEBUG='0' \
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realtime-od:latest
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```
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Example compose:
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```
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frigate:
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container_name: frigate
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restart: unless-stopped
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image: realtime-od:latest
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volumes:
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- <path_to_frozen_detection_graph.pb>:/frozen_inference_graph.pb:ro
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- <path_to_labelmap.pbtext>:/label_map.pbtext:ro
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- <path_to_config>:/config
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ports:
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- "127.0.0.1:5000:5000"
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environment:
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RTSP_URL: "<rtsp_url>"
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REGIONS: "<box_size_1>,<x_offset_1>,<y_offset_1>,<min_person_size_1>,<min_motion_size_1>,<mask_file_1>:<box_size_2>,<x_offset_2>,<y_offset_2>,<min_person_size_2>,<min_motion_size_2>,<mask_file_2>"
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MQTT_HOST: "your.mqtthost.com"
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MQTT_TOPIC_PREFIX: "cameras/1"
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DEBUG: "0"
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```
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Access the mjpeg stream at http://localhost:5000
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## Tips
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@ -25,7 +25,6 @@ RTSP_URL = os.getenv('RTSP_URL')
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MQTT_HOST = os.getenv('MQTT_HOST')
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MQTT_TOPIC_PREFIX = os.getenv('MQTT_TOPIC_PREFIX')
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MQTT_OBJECT_CLASSES = os.getenv('MQTT_OBJECT_CLASSES')
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# REGIONS = "350,0,300,50:400,350,250,50:400,750,250,50"
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# REGIONS = "400,350,250,50"
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@ -150,8 +149,7 @@ def main():
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client.loop_start()
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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_OBJECT_CLASSES.split(','), DETECTED_OBJECTS)
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mqtt_publisher = MqttObjectPublisher(client, MQTT_TOPIC_PREFIX, objects_parsed, DETECTED_OBJECTS)
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mqtt_publisher.start()
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# start thread to publish motion status
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@ -25,12 +25,11 @@ class MqttMotionPublisher(threading.Thread):
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self.client.publish(self.topic_prefix+'/motion', motion_status, retain=False)
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class MqttObjectPublisher(threading.Thread):
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def __init__(self, client, topic_prefix, objects_parsed, object_classes, detected_objects):
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def __init__(self, client, topic_prefix, objects_parsed, detected_objects):
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threading.Thread.__init__(self)
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self.client = client
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self.topic_prefix = topic_prefix
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self.objects_parsed = objects_parsed
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self.object_classes = object_classes
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self._detected_objects = detected_objects
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def run(self):
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