在yolov7.yaml中添加P2特征层。
时间: 2023-12-18 21:24:40 浏览: 77
yolov8 default.yaml
在YoloV7模型的配置文件`yolov7.yaml`中添加P2特征层,需要在`backbone`部分的`model`列表中加入`P2Layer`。具体步骤如下:
1. 打开`yolov7.yaml`配置文件,找到`backbone`部分。
2. 在`model`列表中添加如下代码:
```
- P2Layer:
in_channels: 512
out_channels: 256
```
这里的`in_channels`需要与YoloV7模型中SPP层的输出通道数相同,`out_channels`则为P2层的输出通道数,可以根据实际需求进行调整。
3. 完整的`backbone`部分代码如下:
```
backbone:
# YOLOv7 backbone
model:
- Focus:
in_channels: 3
out_channels: 64
k: 3
- Conv:
in_channels: 64
out_channels: 128
k: 3
s: 2
- C3:
in_channels: 128
out_channels: 128
n: 2
shortcut: true
- Conv:
in_channels: 128
out_channels: 256
k: 3
s: 2
- C3:
in_channels: 256
out_channels: 256
n: 2
shortcut: true
- Conv:
in_channels: 256
out_channels: 512
k: 3
s: 2
- SPP:
in_channels: 512
out_channels: 512
k: [5, 9, 13]
- C3:
in_channels: 512
out_channels: 512
n: 3
shortcut: true
- P2Layer:
in_channels: 512
out_channels: 256
- Conv:
in_channels: 768
out_channels: 512
k: 1
- Upsample:
scale_factor: 2
- C3:
in_channels: 512
out_channels: 512
n: 3
shortcut: true
- P2Layer:
in_channels: 512
out_channels: 256
- Conv:
in_channels: 768
out_channels: 512
k: 1
- Upsample:
scale_factor: 2
- C3:
in_channels: 512
out_channels: 512
n: 3
shortcut: true
- P2Layer:
in_channels: 512
out_channels: 256
- Conv:
in_channels: 768
out_channels: 512
k: 1
- C3:
in_channels: 512
out_channels: 512
n: 3
shortcut: true
- Conv:
in_channels: 512
out_channels: 1024
k: 1
- SPP:
in_channels: 1024
out_channels: 1024
k: [5, 9, 13]
- C3:
in_channels: 1024
out_channels: 1024
n: 1
shortcut: false
```
4. 保存配置文件,即可在YoloV7模型中使用P2特征层。
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