init

backend/ppocr/modeling/heads/det_pse_head.py

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+# copyright (c) 2021 PaddlePaddle Authors. All Rights Reserve.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+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}