Download third-party/InterFormer/tests/test_engine/test_visualization_hook.py from hk239/v2d: direct link, hf CLI and curl.
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2.36 kB
| # Copyright (c) OpenMMLab. All rights reserved. | |
| from unittest import TestCase | |
| from unittest.mock import Mock | |
| import torch | |
| from mmengine.structures import PixelData | |
| from mmseg.engine.hooks import SegVisualizationHook | |
| from mmseg.structures import SegDataSample | |
| from mmseg.visualization import SegLocalVisualizer | |
| class TestVisualizationHook(TestCase): | |
| def setUp(self) -> None: | |
| h = 288 | |
| w = 512 | |
| num_class = 2 | |
| SegLocalVisualizer.get_instance('visualizer') | |
| SegLocalVisualizer.dataset_meta = dict( | |
| classes=('background', 'foreground'), | |
| palette=[[120, 120, 120], [6, 230, 230]]) | |
| data_sample = SegDataSample() | |
| data_sample.set_metainfo({'img_path': 'tests/data/color.jpg'}) | |
| self.data_batch = [{'data_sample': data_sample}] * 2 | |
| pred_sem_seg_data = dict(data=torch.randint(0, num_class, (1, h, w))) | |
| pred_sem_seg = PixelData(**pred_sem_seg_data) | |
| pred_seg_data_sample = SegDataSample() | |
| pred_seg_data_sample.set_metainfo({'img_path': 'tests/data/color.jpg'}) | |
| pred_seg_data_sample.pred_sem_seg = pred_sem_seg | |
| self.outputs = [pred_seg_data_sample] * 2 | |
| def test_after_iter(self): | |
| runner = Mock() | |
| runner.iter = 1 | |
| hook = SegVisualizationHook(draw=True, interval=1) | |
| hook._after_iter( | |
| runner, 1, self.data_batch, self.outputs, mode='train') | |
| hook._after_iter(runner, 1, self.data_batch, self.outputs, mode='val') | |
| hook._after_iter(runner, 1, self.data_batch, self.outputs, mode='test') | |
| def test_after_val_iter(self): | |
| runner = Mock() | |
| runner.iter = 2 | |
| hook = SegVisualizationHook(interval=1) | |
| hook.after_val_iter(runner, 1, self.data_batch, self.outputs) | |
| hook = SegVisualizationHook(draw=True, interval=1) | |
| hook.after_val_iter(runner, 1, self.data_batch, self.outputs) | |
| hook = SegVisualizationHook( | |
| draw=True, interval=1, show=True, wait_time=1) | |
| hook.after_val_iter(runner, 1, self.data_batch, self.outputs) | |
| def test_after_test_iter(self): | |
| runner = Mock() | |
| hook = SegVisualizationHook(draw=True, interval=1) | |
| assert hook._test_index == 0 | |
| hook.after_test_iter(runner, 1, self.data_batch, self.outputs) | |
| assert hook._test_index == len(self.outputs) | |