-
Notifications
You must be signed in to change notification settings - Fork 1.2k
/
__init__.py
44 lines (37 loc) · 1.5 KB
/
__init__.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
# Copyright (c) 2020 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.
import copy
import importlib
from . import topk, threshoutput
from .topk import Topk
from .threshoutput import ThreshOutput, MultiLabelThreshOutput
from .attr_rec import VehicleAttribute, PersonAttribute, TableAttribute
from .scoreoutput import ScoreOutput
def build_postprocess(config):
config = copy.deepcopy(config)
model_name = config.pop("name")
mod = importlib.import_module(__name__)
postprocess_func = getattr(mod, model_name)(**config)
return postprocess_func
class DistillationPostProcess(object):
def __init__(self, model_name="Student", key=None, func="Topk", **kargs):
super().__init__()
self.func = eval(func)(**kargs)
self.model_name = model_name
self.key = key
def __call__(self, x, file_names=None):
x = x[self.model_name]
if self.key is not None:
x = x[self.key]
return self.func(x, file_names=file_names)