YOLOv7增添SE注意力机制是YOLOv7.yaml文件怎么改

要在YOLOv7中增加SE注意力机制，可以按照以下步骤修改YOLOv7.yaml文件：

1. 在YOLOv7.yaml文件中找到backbone部分，例如：

backbone:
  # choose from ['CSPDarknet53', 'Darknet53', 'ResNet50', 'ResNet101', 'ResNeXt101', 'ResNeXt152', 'RepVGG-B0', 'EfficientNetLite0']
  name: 'CSPDarknet53'
  # number of repeat times of CSP2 module in stage C, D, E, F
  depth_multiple: 1.0
  # channels of stem conv
  stem_channels: 32
  # use depthwise separable conv in stem
  stem_dw: False
  # use group conv in stem
  stem_gw: False
  # use SPP block in stage C
  with_spp: False

2. 在backbone部分下添加SE模块的配置，例如：

backbone:
  # choose from ['CSPDarknet53', 'Darknet53', 'ResNet50', 'ResNet101', 'ResNeXt101', 'ResNeXt152', 'RepVGG-B0', 'EfficientNetLite0']
  name: 'CSPDarknet53'
  # number of repeat times of CSP2 module in stage C, D, E, F
  depth_multiple: 1.0
  # channels of stem conv
  stem_channels: 32
  # use depthwise separable conv in stem
  stem_dw: False
  # use group conv in stem
  stem_gw: False
  # use SPP block in stage C
  with_spp: False
  # add SE module after each CSP2 block in stage C, D, E, F
  se: True

3. 保存修改后的YOLOv7.yaml文件，重新训练模型即可。

需要注意的是，在添加SE模块后，模型的参数量会增加，同时训练时间也会增加，因此需要根据实际情况进行调整。