Hello, I successfuly was able to run https://docs.opencv.org/3.4.0/da/d9d/tutorial_dnn_yolo.html So i now have a model one which i can recognizes items, lets say bananas. But it will detect much more too.
The obvious way would be to just filter the results based on the classname but this seem not the right way to do somehow. I am worrying a bit about accuracy and performance. Should i retrain the model to only detect my object(banana)? This is a wild idea from me as i am new. I could also dig deeper into the dnn model and maybe manipulate layers / pins.
Maybe i am worrying to much and filtering based on classname is way to go and i should just make sure my model always recognizes my desired object. If this is the case: * Is it a good idea to load the model and train it futher with open cv dnn ? * How to save such a model ?
Thank a lot again + Greetings, Holger