(self)
| 175 | xb,yb = next(iter(gen)) |
| 176 | |
| 177 | def test_multi_image_to_image(self): |
| 178 | import ants |
| 179 | import nitrain as nt |
| 180 | img = ants.from_numpy(np.zeros((256,256))) |
| 181 | dataset = nt.Dataset([[img for _ in range(10)], |
| 182 | [img for _ in range(10)]], |
| 183 | [img for _ in range(10)]) |
| 184 | loader = nt.Loader(dataset, images_per_batch=4) |
| 185 | |
| 186 | xb, yb = next(iter(loader)) |
| 187 | self.assertTrue(len(xb) == 2) |
| 188 | self.assertTrue(xb[0].shape == (4, 256, 256, 1)) |
| 189 | self.assertTrue(xb[1].shape == (4, 256, 256, 1)) |
| 190 | self.assertTrue(yb.shape == (4, 256, 256, 1)) |
| 191 | |
| 192 | loader2 = loader.to_keras() |
| 193 | x_batch, y_batch = next(iter(loader2)) |
| 194 | self.assertTrue(len(x_batch) == 2) |
| 195 | self.assertTrue(tuple(x_batch[0].shape) == (4, 256, 256, 1)) |
| 196 | self.assertTrue(tuple(x_batch[1].shape) == (4, 256, 256, 1)) |
| 197 | self.assertTrue(tuple(y_batch.shape) == (4, 256, 256, 1)) |
| 198 | |
| 199 | gen = record_generator(loader) |
| 200 | xb,yb = next(iter(gen)) |
| 201 | |
| 202 | def test_image_to_image_with_slice_sampler(self): |
| 203 | img = ants.image_read(ants.get_data('mni')) |
nothing calls this directly
no test coverage detected