how to get names of all detected models from existing tensorflow lite instance?
I've figured out a solution. I can just use the same array that the function that draws labels uses (labels[int(classes[i])) to get the name of the object in place i of the array (dunno if I'm using the correct terminology but whatever). hopefully this will help someone
I'm looking to build a system that alerts me when there's a package at my front door. I already have a solution for detecting when there's a package (tflite), but I don't know how to get the array of detected objects from the existing tflite process and then pull out an object's title through the array. Is this even possible, or am I doing this wrong?
Also, the tflite model google gives does not know how to detect packages, but I'll train my own for that