After reading the test.py file, I realized that if in a frame there are 2 objects corresponding to 2 instruments, the model will accept the object with higher confidence score as input. I wonder if this affects the loss function. I also read the train.py file, but I don't see the code where you choose the object with a higher confidence score. So can you tell me where it is or is it really working as I think or am I misunderstanding.
After reading the test.py file, I realized that if in a frame there are 2 objects corresponding to 2 instruments, the model will accept the object with higher confidence score as input. I wonder if this affects the loss function. I also read the train.py file, but I don't see the code where you choose the object with a higher confidence score. So can you tell me where it is or is it really working as I think or am I misunderstanding.
Thank you so much !!!