YOLOV8分类任务更换主干mobilenetv2网络

目录

1.定义模块

2.导入模块

3.task.py文件更改

4.更改后找文件运行一下

---

1.定义模块

自定义Movilenet_v2类

class Mobilenet_v2(nn.Module):
    def __init__(self):
        super().__init__()
        model = models.mobilenet_v2(pretrained=True)
        self.layer=nn.Sequential(
        model.features,
        )
    def forward(self, x):
        x=self.layer(x)
        x = nn.functional.adaptive_avg_pool2d(x, (1, 1))
        return x

2.导入模块

3.task.py文件更改

添加到解析模块

elif m is Mobilenet_v2:

c2=args[0]

args=[]

4.更改yaml文件

# Ultralytics YOLO 🚀, AGPL-3.0 license
# YOLOv8-cls image classification model. For Usage examples see https://docs.ultralytics.com/tasks/classify

# Parameters
nc: 11 # number of classes
scales: # model compound scaling constants, i.e. 'model=yolov8n-cls.yaml' will call yolov8-cls.yaml with scale 'n'
  # [depth, width, max_channels]
  n: [0.33, 0.25, 1024]
  s: [0.33, 0.50, 1024]
  m: [0.67, 0.75, 1024]
  l: [1.00, 1.00, 1024]
  x: [1.00, 1.25, 1024]

# YOLOv8.0n backbone
backbone:
  # [from, repeats, module, args]
  - [-1, 1, Mobilenet_v2, [1280]] # 0-P1/2


# YOLOv8.0n head
head:
  - [-1, 1, Classify, [nc]] # Classify

4.更改后找文件运行一下