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- """
- This code is refer from:
- https://github.com/whai362/PSENet/blob/python3/models/head/psenet_head.py
- """
- from paddle import nn
- class PSEHead(nn.Layer):
- def __init__(self, in_channels, hidden_dim=256, out_channels=7, **kwargs):
- super(PSEHead, self).__init__()
- self.conv1 = nn.Conv2D(
- in_channels, hidden_dim, kernel_size=3, stride=1, padding=1)
- self.bn1 = nn.BatchNorm2D(hidden_dim)
- self.relu1 = nn.ReLU()
- self.conv2 = nn.Conv2D(
- hidden_dim, out_channels, kernel_size=1, stride=1, padding=0)
- def forward(self, x, **kwargs):
- out = self.conv1(x)
- out = self.relu1(self.bn1(out))
- out = self.conv2(out)
- return {'maps': out}
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