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provide fg_probability for blender data

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Summary: The blender synthetic dataset contains object masks in the alpha channel. Provide these in the corresponding dataset.

Reviewed By: shapovalov

Differential Revision: D37344380

fbshipit-source-id: 3ddacad9d667c0fa0ae5a61fb1d2ffc806c9abf3
This commit is contained in:
Jeremy Reizenstein
2022-06-22 06:11:50 -07:00
committed by Facebook GitHub Bot
parent 731ea53c80
commit 3e4fb0b9d9
4 changed files with 28 additions and 3 deletions
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5
tests/implicitron/test_data_llff.py
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@@ -41,6 +41,10 @@ class TestDataLlff(TestCaseMixin, unittest.TestCase):
# try getting a value
value = dataset[0]
self.assertEqual(value.image_rgb.shape, (3, 800, 800))
self.assertEqual(value.fg_probability.shape, (1, 800, 800))
# corner of image is background
self.assertEqual(value.fg_probability[0, 0, 0], 0)
self.assertEqual(value.fg_probability.max(), 1.0)
self.assertIsInstance(value, FrameData)
def test_llff(self):
@@ -90,6 +94,7 @@ class TestDataLlff(TestCaseMixin, unittest.TestCase):
for i, frame_type in enumerate(types):
value = dataset[i]
self.assertEqual(value.frame_type, frame_type)
self.assertIsNone(value.fg_probability)
self.assertEqual(len(dataset_map.test.get_eval_batches()), 3)
for batch in dataset_map.test.get_eval_batches():