更换文档检测模型

paddle_detection/ppdet/engine/trainer_cot.py

@@ -0,0 +1,42 @@
+# 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.
+
+from ppdet.core.workspace import create
+from ppdet.utils.logger import setup_logger
+logger = setup_logger('ppdet.engine')
+
+from . import Trainer
+__all__ = ['TrainerCot']
+
+class TrainerCot(Trainer):
+    """
+    Trainer for label-cotuning
+    calculate the relationship between base_classes and novel_classes
+    """
+    def __init__(self, cfg, mode='train'):
+        super(TrainerCot, self).__init__(cfg, mode)
+        self.cotuning_init()
+
+    def cotuning_init(self):    
+        num_classes_novel = self.cfg['num_classes']
+
+        self.load_weights(self.cfg.pretrain_weights)
+
+        self.model.eval()
+        relationship = self.model.relationship_learning(self.loader, num_classes_novel)
+    
+        self.model.init_cot_head(relationship)
+        self.optimizer = create('OptimizerBuilder')(self.lr, self.model)
+
+