Trying to understand model description

vision
1

I am trying to learn pytorch and can’t understand how the yaml file translates to model description. I am running yolov5 with yolov5n.yaml. here are the first two layers of the model description:

             from  n    params  module                                  arguments

0 -1 1 1760 models.common.Conv [3, 16, 6, 2, 2]
1 -1 1 4672 models.common.Conv [16, 32, 3, 2]

and here are the first two layers in yolov5n.yaml:


# YOLOv5 v6.0 backbone
backbone:
  # [from, number, module, args]
  [[-1, 1, Conv, [64, 6, 2, 2]],  # 0-P1/2
   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4

How [64, 6, 2, 2] translates to [64, 6, 2, 2]?
How [16, 32, 3, 2] translates to [128, 3, 2]?