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74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# copyright (c) 2020 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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import importlib
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import copy
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from .rec_metric import RecMetric
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from .det_metric import DetMetric
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from .e2e_metric import E2EMetric
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from .cls_metric import ClsMetric
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class DistillationMetric(object):
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def __init__(self,
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key=None,
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base_metric_name=None,
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main_indicator=None,
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**kwargs):
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self.main_indicator = main_indicator
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self.key = key
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self.main_indicator = main_indicator
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self.base_metric_name = base_metric_name
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self.kwargs = kwargs
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self.metrics = None
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def _init_metrcis(self, preds):
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self.metrics = dict()
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mod = importlib.import_module(__name__)
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for key in preds:
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self.metrics[key] = getattr(mod, self.base_metric_name)(
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main_indicator=self.main_indicator, **self.kwargs)
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self.metrics[key].reset()
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def __call__(self, preds, batch, **kwargs):
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assert isinstance(preds, dict)
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if self.metrics is None:
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self._init_metrcis(preds)
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output = dict()
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for key in preds:
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self.metrics[key].__call__(preds[key], batch, **kwargs)
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def get_metric(self):
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"""
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return metrics {
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'acc': 0,
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'norm_edit_dis': 0,
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}
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"""
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output = dict()
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for key in self.metrics:
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metric = self.metrics[key].get_metric()
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# main indicator
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if key == self.key:
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output.update(metric)
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else:
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for sub_key in metric:
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output["{}_{}".format(key, sub_key)] = metric[sub_key]
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return output
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def reset(self):
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for key in self.metrics:
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self.metrics[key].reset()
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