or-objectdetection
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openremote
object detection in video
> Building rabbitmq > Step 1/5 : FROM rabbitmq:3-management > ---> af593d7f6c2c > Step 2/5 : RUN rabbitmq-plugins enable rabbitmq_stomp > ---> Using cache > ---> 799450984a2d > Step 3/5...
  C:\Users\Acer\Desktop\or-objectdetection-master\or-objectdetection-master\YOLO_DETECTION\sort.py:32: NumbaWarning: [1m Compilation is falling back to object mode WITH looplifting enabled because Function "iou" failed type inference due to: [1m[1mnon-precise type pyobject[0m [0m[1mDuring: typing of argument...
Currently, the line is drawn in every frame. It is better to solve this with a filter.
Currently the object detection systems is quite a barebones implementation, it would be interesting to improve this with custom trained models and improvements to the object detection code.
pls help, i followed the instructions correctly, yet I see this error and no run :( 
The lines drawn by the user are available for the object detection system and are drawn on the image. At the moment there is no implementation for actually detecting if...
Stop the stream if: -correlation_id = equal to the currently analysed stream -active = false in the incoming request
RabbitMQ current implementation only supports one feed at a time, consider switching from queues to topics which split into queues based on identifiers.
The ability to add connect to a MQTT server is already implemented, but as of now there is no data pushed over the connection. This needs to be added.
