更换文档检测模型

paddle_detection/ppdet/modeling/reid/resnet_embedding.py

@@ -0,0 +1,41 @@
+# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. 
+#   
+# 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.
+
+import os
+import paddle
+import paddle.nn.functional as F
+from paddle import nn
+from .resnet import ResNet50, ResNet101
+from ppdet.core.workspace import register
+
+__all__ = ['ResNetEmbedding']
+
+
+@register
+class ResNetEmbedding(nn.Layer):
+    in_planes = 2048
+    def __init__(self, model_name='ResNet50', last_stride=1):
+        super(ResNetEmbedding, self).__init__()
+        assert model_name in ['ResNet50', 'ResNet101'], "Unsupported ReID arch: {}".format(model_name)
+        self.base = eval(model_name)(last_conv_stride=last_stride)
+        self.gap = nn.AdaptiveAvgPool2D(output_size=1)
+        self.flatten = nn.Flatten(start_axis=1, stop_axis=-1)
+        self.bn = nn.BatchNorm1D(self.in_planes, bias_attr=False)
+
+    def forward(self, x):
+        base_out = self.base(x)
+        global_feat = self.gap(base_out)
+        global_feat = self.flatten(global_feat)
+        global_feat = self.bn(global_feat)
+        return global_feat