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on
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Running
on
Zero
| # Copyright (c) Facebook, Inc. and its affiliates. | |
| import unittest | |
| import torch | |
| from detectron2.structures.masks import BitMasks, PolygonMasks, polygons_to_bitmask | |
| class TestBitMask(unittest.TestCase): | |
| def test_get_bounding_box(self): | |
| masks = torch.tensor( | |
| [ | |
| [ | |
| [False, False, False, True], | |
| [False, False, True, True], | |
| [False, True, True, False], | |
| [False, True, True, False], | |
| ], | |
| [ | |
| [False, False, False, False], | |
| [False, False, True, False], | |
| [False, True, True, False], | |
| [False, True, True, False], | |
| ], | |
| torch.zeros(4, 4), | |
| ] | |
| ) | |
| bitmask = BitMasks(masks) | |
| box_true = torch.tensor([[1, 0, 4, 4], [1, 1, 3, 4], [0, 0, 0, 0]], dtype=torch.float32) | |
| box = bitmask.get_bounding_boxes() | |
| self.assertTrue(torch.all(box.tensor == box_true).item()) | |
| for box in box_true: | |
| poly = box[[0, 1, 2, 1, 2, 3, 0, 3]].numpy() | |
| mask = polygons_to_bitmask([poly], 4, 4) | |
| reconstruct_box = BitMasks(mask[None, :, :]).get_bounding_boxes()[0].tensor | |
| self.assertTrue(torch.all(box == reconstruct_box).item()) | |
| reconstruct_box = PolygonMasks([[poly]]).get_bounding_boxes()[0].tensor | |
| self.assertTrue(torch.all(box == reconstruct_box).item()) | |
| def test_from_empty_polygons(self): | |
| masks = BitMasks.from_polygon_masks([], 100, 100) | |
| self.assertEqual(masks.tensor.shape, (0, 100, 100)) | |
| def test_getitem(self): | |
| masks = BitMasks(torch.ones(3, 10, 10)) | |
| self.assertEqual(masks[1].tensor.shape, (1, 10, 10)) | |
| self.assertEqual(masks[1:3].tensor.shape, (2, 10, 10)) | |
| self.assertEqual(masks[torch.tensor([True, False, False])].tensor.shape, (1, 10, 10)) | |
| if __name__ == "__main__": | |
| unittest.main() | |