qengineering / yolocam Goto Github PK

I apologize if this is not the correct place to do this, but I am curious what happens if the wifi goes out, does the code for this automatically try to reconnect to the server and display a livestream again if you are trying to setup a 24/7 livestream out in a field to record bees.

Hi,
I am interested in your solution. I have few questions:

1. Can we integrate our custom tflite object detection model (such as trained using google's automl)?
2. If yes, How many FPS we may get on Raspberry Pi 4b using our custom trained tflite model (using automl) integrated with your GPIO based software.
3. Currently, as per your documentation, trigger mechanism checks some criteria before raising it such as min probability of 50%, area occupied, motion etc..., Are these criteria customizable ?
4. Currently trigger mechanism decides to raise the trigger based on some rules for every image. Is it possible, to add some additional criteria which will raise the trigger only iff it detects in more than certain number of frames (say 50%) of last 5 (or 10 or 20..) frames... this will increase the robustness of the trigger and will reduce the false positives.