| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you 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. |
| |
| """it is the test for the decode using beam search |
| Ref: |
| https://github.com/ThomasDelteil/HandwrittenTextRecognition_MXNet/blob/master/utils/CTCDecoder/BeamSearch.py |
| """ |
| |
| import unittest |
| import numpy as np |
| from BeamSearch import ctcBeamSearch |
| |
| class TestBeamSearch(unittest.TestCase): |
| """Test Beam Search |
| """ |
| def test_ctc_beam_search(self): |
| "test decoder" |
| classes = 'ab' |
| mat = np.array([[0.4, 0, 0.6], [0.4, 0, 0.6]]) |
| print('Test beam search') |
| expected = 'a' |
| actual = ctcBeamSearch(mat, classes, None, k=2, beamWidth=3)[0] |
| print('Expected: "' + expected + '"') |
| print('Actual: "' + actual + '"') |
| self.assertEqual(expected, actual) |
| |
| if __name__ == '__main__': |
| unittest.main() |