How Yolo calculate P(Object) in the YOLO 9000
During test time the YOLO network gets the IOU from the default setted value. That is 0.5.
Currently I am testing the yolo 9000 model for object detection and in the Paper I understand that the image is splited in 13X13 boxes and in each boxes we calculate P(Object), but How can we calculate that ? how can the model know if there is an object in this boxe or not, please I need help to understand that
I am using tensorflow 
Thanks,