a40e9a6f1400e15076cfed54c33bf556cec8cd28,luminoth/models/fasterrcnn/rcnn_target_test.py,RCNNTargetTest,testMultipleOverlap,#RCNNTargetTest#,102

Before Change

                                                                proposed_boxes)
        // Assertions
        not_ignored_number = 0
        for i, label in enumerate(proposals_label):
            if label >= 1:
                not_ignored_number += 1
                self.assertIn(i, [1, 2, 3, 5])
        self.assertEqual(not_ignored_number, 1)


if __name__ == "__main__":

After Change

                               np.ceil(self._config.minibatch_size * foreground_fraction),
                               delta=self._equality_delta)

        foreground_idxs = np.nonzero(proposals_label >= 1)[0]
        for foreground_idx in foreground_idxs:
            self.assertIn(foreground_idx, [2, 3, 4, 7])

    def testOddMinibatchSize(self):

Instances