78af1378c55637a88c63019b3b8dbdd5379c5a20,tests/extensions_tests/evaluator_tests/test_instance_segmentation_voc_evaluator.py,TestInstanceSegmentationVOCEvaluator,test_evaluate,#TestInstanceSegmentationVOCEvaluator#,86

Before Change

        np.testing.assert_equal(mean["target/ap/cls2"], np.nan)

    def test_evaluate(self):
        self._check_evaluate()

    @attr.mpi
    def test_evaluate_with_comm(self):
        comm = create_communicator("naive")

After Change

            self.iterator, self.link, label_names=("cls0", "cls1", "cls2"))
        self.expected_ap = 1

    def test_evaluate(self):
        reporter = chainer.Reporter()
        reporter.add_observer("target", self.link)
        with reporter:
            mean = self.evaluator.evaluate()

        // No observation is reported to the current reporter. Instead the
        // evaluator collect results in order to calculate their mean.
        self.assertEqual(len(reporter.observation), 0)

        np.testing.assert_equal(mean["target/map"], self.expected_ap)
        np.testing.assert_equal(mean["target/ap/cls0"], np.nan)

Instances