74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
# 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
|
|
|
|
|
|
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()
|