代码生成,用torch写出swin transformer检测头代码
时间: 2023-04-03 11:04:21 浏览: 118
swin_transformer pytorch代码
以下是我为您提供的代码:
```python
import torch
import torch.nn as nn
from swin_transformer import SwinTransformer
class DetectionHead(nn.Module):
def __init__(self, num_classes, in_channels=1024, feat_channels=256):
super(DetectionHead, self).__init__()
self.num_classes = num_classes
self.in_channels = in_channels
self.feat_channels = feat_channels
self.conv1 = nn.Conv2d(in_channels, feat_channels, kernel_size=3, stride=1, padding=1)
self.act1 = nn.ReLU(inplace=True)
self.conv2 = nn.Conv2d(feat_channels, num_classes, kernel_size=3, stride=1, padding=1)
def forward(self, x):
x = self.conv1(x)
x = self.act1(x)
x = self.conv2(x)
return x
# 使用Swin Transformer模型
model = SwinTransformer()
# 添加检测头
model.det_head = DetectionHead(num_classes=10)
# 随机生成输入
inputs = torch.randn(1, 3, 224, 224)
# 前向传播
outputs = model(inputs)
# 输出结果
print(outputs.shape)
```
希望这个代码对您有所帮助!
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