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38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
# copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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This code is refer from:
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https://github.com/whai362/PSENet/blob/python3/models/head/psenet_head.py
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"""
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from paddle import nn
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class PSEHead(nn.Layer):
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def __init__(self, in_channels, hidden_dim=256, out_channels=7, **kwargs):
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super(PSEHead, self).__init__()
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self.conv1 = nn.Conv2D(
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in_channels, hidden_dim, kernel_size=3, stride=1, padding=1)
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self.bn1 = nn.BatchNorm2D(hidden_dim)
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self.relu1 = nn.ReLU()
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self.conv2 = nn.Conv2D(
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hidden_dim, out_channels, kernel_size=1, stride=1, padding=0)
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def forward(self, x, **kwargs):
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out = self.conv1(x)
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out = self.relu1(self.bn1(out))
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out = self.conv2(out)
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return {'maps': out}
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