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MMdet Model for Image Segmentation
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from unittest import TestCase
import numpy as np
from mmengine.testing import assert_allclose
from mmdet.structures.mask import BitmapMasks, PolygonMasks
class TestMaskStructures(TestCase):
def test_bitmap_translate_same_size(self):
mask_array = np.zeros((5, 10, 10), dtype=np.uint8)
mask_array[:, 0:5, 0:5] = 1
mask_target = np.zeros((5, 10, 10), dtype=np.uint8)
mask_target[:, 0:5, 5:10] = 1
mask = BitmapMasks(mask_array, 10, 10)
mask = mask.translate((10, 10), 5)
assert mask.masks.shape == (5, 10, 10)
assert_allclose(mask_target, mask.masks)
def test_bitmap_translate_diff_size(self):
# test out shape larger
mask_array = np.zeros((5, 10, 10), dtype=np.uint8)
mask_array[:, 0:5, 0:5] = 1
mask_target = np.zeros((5, 20, 20), dtype=np.uint8)
mask_target[:, 0:5, 5:10] = 1
mask = BitmapMasks(mask_array, 10, 10)
mask = mask.translate((20, 20), 5)
assert mask.masks.shape == (5, 20, 20)
assert_allclose(mask_target, mask.masks)
# test out shape smaller
mask_array = np.zeros((5, 10, 10), dtype=np.uint8)
mask_array[:, 0:5, 0:5] = 1
mask_target = np.zeros((5, 20, 8), dtype=np.uint8)
mask_target[:, 0:5, 5:] = 1
mask = BitmapMasks(mask_array, 10, 10)
mask = mask.translate((20, 8), 5)
assert mask.masks.shape == (5, 20, 8)
assert_allclose(mask_target, mask.masks)
def test_bitmap_cat(self):
# test invalid inputs
with self.assertRaises(AssertionError):
BitmapMasks.cat(BitmapMasks.random(4))
with self.assertRaises(ValueError):
BitmapMasks.cat([])
with self.assertRaises(AssertionError):
BitmapMasks.cat([BitmapMasks.random(2), PolygonMasks.random(3)])
masks = [BitmapMasks.random(num_masks=3) for _ in range(5)]
cat_mask = BitmapMasks.cat(masks)
assert len(cat_mask) == 3 * 5
for i, m in enumerate(masks):
assert_allclose(m.masks, cat_mask.masks[i * 3:(i + 1) * 3])
def test_polygon_cat(self):
# test invalid inputs
with self.assertRaises(AssertionError):
PolygonMasks.cat(PolygonMasks.random(4))
with self.assertRaises(ValueError):
PolygonMasks.cat([])
with self.assertRaises(AssertionError):
PolygonMasks.cat([BitmapMasks.random(2), PolygonMasks.random(3)])
masks = [PolygonMasks.random(num_masks=3) for _ in range(5)]
cat_mask = PolygonMasks.cat(masks)
assert len(cat_mask) == 3 * 5
for i, m in enumerate(masks):
assert_allclose(m.masks, cat_mask.masks[i * 3:(i + 1) * 3])