How does YOLO split images into grid cells?

I am trying to learn object detection models and strategies they use but I cant get my head around understanding how Yolo or SSD does it using convolutional neural networks. Can anybody give some insight ? How do they structure CNN's ? It would be wonderful if code(Python) could be provided.