|
| 1 | +import unittest |
| 2 | + |
| 3 | +import micro_sam.util as util |
| 4 | +import numpy as np |
| 5 | + |
| 6 | +from skimage.draw import disk |
| 7 | + |
| 8 | + |
| 9 | +class TestSegmentFromPrompts(unittest.TestCase): |
| 10 | + def _get_input(self): |
| 11 | + shape = (256, 256) |
| 12 | + mask = np.zeros(shape, dtype="uint8") |
| 13 | + circle = disk((128, 128), radius=20, shape=shape) |
| 14 | + mask[circle] = 1 |
| 15 | + image = mask * 255 |
| 16 | + return mask, image |
| 17 | + |
| 18 | + def _get_model(self, image): |
| 19 | + predictor = util.get_sam_model(model_type="vit_b") |
| 20 | + image_embeddings = util.precompute_image_embeddings(predictor, image) |
| 21 | + util.set_precomputed(predictor, image_embeddings) |
| 22 | + return predictor |
| 23 | + |
| 24 | + def test_segment_from_points(self): |
| 25 | + from micro_sam.segment_from_prompts import segment_from_points |
| 26 | + |
| 27 | + mask, image = self._get_input() |
| 28 | + predictor = self._get_model(image) |
| 29 | + |
| 30 | + points = np.array([[128, 128], [64, 64], [192, 192], [64, 192], [192, 64]]) |
| 31 | + labels = np.array([1, 0, 0, 0, 0]) |
| 32 | + |
| 33 | + predicted = segment_from_points(predictor, points, labels) |
| 34 | + self.assertGreater(util.compute_iou(mask, predicted), 0.9) |
| 35 | + |
| 36 | + def test_segment_from_mask(self): |
| 37 | + from micro_sam.segment_from_prompts import segment_from_mask |
| 38 | + |
| 39 | + mask, image = self._get_input() |
| 40 | + predictor = self._get_model(image) |
| 41 | + |
| 42 | + # with mask and bounding box (default setting) |
| 43 | + predicted = segment_from_mask(predictor, mask) |
| 44 | + self.assertGreater(util.compute_iou(mask, predicted), 0.9) |
| 45 | + |
| 46 | + # with bounding box (default setting) |
| 47 | + predicted = segment_from_mask(predictor, mask, use_mask=False, use_box=True) |
| 48 | + self.assertGreater(util.compute_iou(mask, predicted), 0.9) |
| 49 | + |
| 50 | + # with bounding box (default setting) |
| 51 | + predicted = segment_from_mask(predictor, mask, use_mask=True, use_box=False) |
| 52 | + self.assertGreater(util.compute_iou(mask, predicted), 0.9) |
| 53 | + |
| 54 | + |
| 55 | +if __name__ == "__main__": |
| 56 | + unittest.main() |
0 commit comments