# Copyright (c) 2018 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 unittest import numpy as np import sys import math from op_test import OpTest class TestIOUSimilarityOp(OpTest): def test_check_output(self): self.check_output() def setUp(self): self.op_type = "iou_similarity" self.boxes1 = np.array( [[4.0, 3.0, 7.0, 5.0], [5.0, 6.0, 10.0, 7.0]]).astype('float32') self.boxes2 = np.array([[3.0, 4.0, 6.0, 8.0], [14.0, 14.0, 15.0, 15.0], [0.0, 0.0, 20.0, 20.0]]).astype('float32') self.output = np.array( [[2.0 / 16.0, 0, 6.0 / 400.0], [1.0 / 16.0, 0.0, 5.0 / 400.0]]).astype('float32') self.inputs = {'X': self.boxes1, 'Y': self.boxes2} self.outputs = {'Out': self.output} class TestIOUSimilarityOpWithLoD(TestIOUSimilarityOp): def test_check_output(self): self.check_output() def setUp(self): super(TestIOUSimilarityOpWithLoD, self).setUp() self.boxes1_lod = [[0, 1, 2]] self.output_lod = [[0, 1, 2]] self.inputs = {'X': (self.boxes1, self.boxes1_lod), 'Y': self.boxes2} self.outputs = {'Out': (self.output, self.output_lod)} if __name__ == '__main__': unittest.main()