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ppocr/metrics/vqa_token_ser_metric.py

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+# Copyright (c) 2021 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 __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import numpy as np
+import paddle
+
+__all__ = ["VQASerTokenMetric"]
+
+
+class VQASerTokenMetric(object):
+    def __init__(self, main_indicator="hmean", **kwargs):
+        self.main_indicator = main_indicator
+        self.reset()
+
+    def __call__(self, preds, batch, **kwargs):
+        preds, labels = preds
+        self.pred_list.extend(preds)
+        self.gt_list.extend(labels)
+
+    def get_metric(self):
+        from seqeval.metrics import f1_score, precision_score, recall_score
+
+        metrics = {
+            "precision": precision_score(self.gt_list, self.pred_list),
+            "recall": recall_score(self.gt_list, self.pred_list),
+            "hmean": f1_score(self.gt_list, self.pred_list),
+        }
+        self.reset()
+        return metrics
+
+    def reset(self):
+        self.pred_list = []
+        self.gt_list = []