Download mmdetection/tests/test_engine/test_hooks/test_visualization_hook.py from Saurabh1105/MMDet: direct link, hf CLI and curl.
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https://huggingface.co/Saurabh1105/MMDet/resolve/main/mmdetection/tests/test_engine/test_hooks/test_visualization_hook.py
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curl -L -o test_visualization_hook.py https://huggingface.co/Saurabh1105/MMDet/resolve/main/mmdetection/tests/test_engine/test_hooks/test_visualization_hook.py
2.42 kB
| # Copyright (c) OpenMMLab. All rights reserved. | |
| import os.path as osp | |
| import shutil | |
| import time | |
| from unittest import TestCase | |
| from unittest.mock import Mock | |
| import torch | |
| from mmengine.structures import InstanceData | |
| from mmdet.engine.hooks import DetVisualizationHook | |
| from mmdet.structures import DetDataSample | |
| from mmdet.visualization import DetLocalVisualizer | |
| def _rand_bboxes(num_boxes, h, w): | |
| cx, cy, bw, bh = torch.rand(num_boxes, 4).T | |
| tl_x = ((cx * w) - (w * bw / 2)).clamp(0, w) | |
| tl_y = ((cy * h) - (h * bh / 2)).clamp(0, h) | |
| br_x = ((cx * w) + (w * bw / 2)).clamp(0, w) | |
| br_y = ((cy * h) + (h * bh / 2)).clamp(0, h) | |
| bboxes = torch.stack([tl_x, tl_y, br_x, br_y], dim=0).T | |
| return bboxes | |
| class TestVisualizationHook(TestCase): | |
| def setUp(self) -> None: | |
| DetLocalVisualizer.get_instance('current_visualizer') | |
| pred_instances = InstanceData() | |
| pred_instances.bboxes = _rand_bboxes(5, 10, 12) | |
| pred_instances.labels = torch.randint(0, 2, (5, )) | |
| pred_instances.scores = torch.rand((5, )) | |
| pred_det_data_sample = DetDataSample() | |
| pred_det_data_sample.set_metainfo({ | |
| 'img_path': | |
| osp.join(osp.dirname(__file__), '../../data/color.jpg') | |
| }) | |
| pred_det_data_sample.pred_instances = pred_instances | |
| self.outputs = [pred_det_data_sample] * 2 | |
| def test_after_val_iter(self): | |
| runner = Mock() | |
| runner.iter = 1 | |
| hook = DetVisualizationHook() | |
| hook.after_val_iter(runner, 1, {}, self.outputs) | |
| def test_after_test_iter(self): | |
| runner = Mock() | |
| runner.iter = 1 | |
| hook = DetVisualizationHook(draw=True) | |
| hook.after_test_iter(runner, 1, {}, self.outputs) | |
| self.assertEqual(hook._test_index, 2) | |
| # test | |
| timestamp = time.strftime('%Y%m%d_%H%M%S', time.localtime()) | |
| test_out_dir = timestamp + '1' | |
| runner.work_dir = timestamp | |
| runner.timestamp = '1' | |
| hook = DetVisualizationHook(draw=False, test_out_dir=test_out_dir) | |
| hook.after_test_iter(runner, 1, {}, self.outputs) | |
| self.assertTrue(not osp.exists(f'{timestamp}/1/{test_out_dir}')) | |
| hook = DetVisualizationHook(draw=True, test_out_dir=test_out_dir) | |
| hook.after_test_iter(runner, 1, {}, self.outputs) | |
| self.assertTrue(osp.exists(f'{timestamp}/1/{test_out_dir}')) | |
| shutil.rmtree(f'{timestamp}') | |