OpenMMLab Detection Toolbox and Benchmark
https://mmdetection.readthedocs.io/
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21 lines
896 B
21 lines
896 B
import torch |
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from mmdet.core.bbox.coder import YOLOBBoxCoder |
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def test_yolo_bbox_coder(): |
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coder = YOLOBBoxCoder() |
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bboxes = torch.Tensor([[-42., -29., 74., 61.], [-10., -29., 106., 61.], |
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[22., -29., 138., 61.], [54., -29., 170., 61.]]) |
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pred_bboxes = torch.Tensor([[0.4709, 0.6152, 0.1690, -0.4056], |
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[0.5399, 0.6653, 0.1162, -0.4162], |
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[0.4654, 0.6618, 0.1548, -0.4301], |
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[0.4786, 0.6197, 0.1896, -0.4479]]) |
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grid_size = 32 |
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expected_decode_bboxes = torch.Tensor( |
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[[-53.6102, -10.3096, 83.7478, 49.6824], |
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[-15.8700, -8.3901, 114.4236, 50.9693], |
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[11.1822, -8.0924, 146.6034, 50.4476], |
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[41.2068, -8.9232, 181.4236, 48.5840]]) |
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assert expected_decode_bboxes.allclose( |
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coder.decode(bboxes, pred_bboxes, grid_size))
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