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