yolo结构介绍

更新中

yolo结构:

这个是针对最早的v5版本1.0进行讲解,现在2022最新版本是V6.2。有一些细节的差别比如Backbone部分Focus倍替换成6*6的Conv,bottleneckCSP替换为C3,Neck部分SPP被替换成SPPF等

Release v1.0 · ultralytics/yolov5 (github.com)

# parameters
nc: 80  # number of classes
depth_multiple: 0.33  # model depth multiple
width_multiple: 0.50  # layer channel multiple

# anchors
anchors:
  - [116,90, 156,198, 373,326]  # P5/32
  - [30,61, 62,45, 59,119]  # P4/16
  - [10,13, 16,30, 33,23]  # P3/8

# YOLOv5 backbone
backbone:
  # [from, number, module, args]
  [[-1, 1, Focus, [64, 3]],  # 0-P1/2
   [-1, 1, Conv, [128, 3, 2]],  # 1-P2/4
   [-1, 3, BottleneckCSP, [128]],
   [-1, 1, Conv, [256, 3, 2]],  # 3-P3/8
   [-1, 9, BottleneckCSP, [256]],
   [-1, 1, Conv, [512, 3, 2]],  # 5-P4/16
   [-1, 9, BottleneckCSP, [512]],
   [-1, 1, Conv,

你可能感兴趣的:(目标识别/语义分割,pytorch,深度学习,人工智能)