2 Copyright (c) 2019 Intel Corporation
4 Licensed under the Apache License, Version 2.0 (the "License");
5 you may not use this file except in compliance with the License.
6 You may obtain a copy of the License at
8 http://www.apache.org/licenses/LICENSE-2.0
10 Unless required by applicable law or agreed to in writing, software
11 distributed under the License is distributed on an "AS IS" BASIS,
12 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 See the License for the specific language governing permissions and
14 limitations under the License.
19 from ..adapters import Adapter
20 from ..representation import ClassificationPrediction
23 class ClassificationAdapter(Adapter):
25 Class for converting output of classification model to ClassificationPrediction representation
27 __provider__ = 'classification'
29 def process(self, raw, identifiers=None, frame_meta=None):
32 identifiers: list of input data identifiers
34 frame_meta: list of meta information about each frame
36 list of ClassificationPrediction objects
38 prediction = self._extract_predictions(raw, frame_meta)[self.output_blob]
39 prediction = np.reshape(prediction, (prediction.shape[0], -1))
42 for identifier, output in zip(identifiers, prediction):
43 result.append(ClassificationPrediction(identifier, output))