mirror of https://github.com/open-mmlab/mmpose
82 lines
2.9 KiB
Python
82 lines
2.9 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from unittest import TestCase
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import numpy as np
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from mmpose.codecs import RegressionLabel # noqa: F401
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from mmpose.registry import KEYPOINT_CODECS
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class TestRegressionLabel(TestCase):
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# name and configs of all test cases
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def setUp(self) -> None:
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self.configs = [
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(
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'regression',
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dict(
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type='RegressionLabel',
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input_size=(192, 256),
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),
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),
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]
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# The bbox is usually padded so the keypoint will not be near the
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# boundary
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keypoints = (0.1 + 0.8 * np.random.rand(1, 17, 2)) * [192, 256]
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keypoints = np.round(keypoints).astype(np.float32)
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encoded_with_sigma = np.random.rand(1, 17, 4)
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encoded_wo_sigma = np.random.rand(1, 17, 2)
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keypoints_visible = np.ones((1, 17), dtype=np.float32)
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self.data = dict(
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keypoints=keypoints,
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keypoints_visible=keypoints_visible,
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encoded_with_sigma=encoded_with_sigma,
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encoded_wo_sigma=encoded_wo_sigma)
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def test_encode(self):
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keypoints = self.data['keypoints']
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keypoints_visible = self.data['keypoints_visible']
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for name, cfg in self.configs:
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codec = KEYPOINT_CODECS.build(cfg)
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encoded = codec.encode(keypoints, keypoints_visible)
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self.assertEqual(encoded['keypoint_labels'].shape, (1, 17, 2),
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f'Failed case: "{name}"')
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self.assertEqual(encoded['keypoint_weights'].shape, (1, 17),
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f'Failed case: "{name}"')
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def test_decode(self):
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encoded_with_sigma = self.data['encoded_with_sigma']
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encoded_wo_sigma = self.data['encoded_wo_sigma']
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for name, cfg in self.configs:
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codec = KEYPOINT_CODECS.build(cfg)
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keypoints1, scores1 = codec.decode(encoded_with_sigma)
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keypoints2, scores2 = codec.decode(encoded_wo_sigma)
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self.assertEqual(keypoints1.shape, (1, 17, 2),
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f'Failed case: "{name}"')
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self.assertEqual(scores1.shape, (1, 17), f'Failed case: "{name}"')
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self.assertEqual(keypoints2.shape, (1, 17, 2),
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f'Failed case: "{name}"')
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self.assertEqual(scores2.shape, (1, 17), f'Failed case: "{name}"')
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def test_cicular_verification(self):
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keypoints = self.data['keypoints']
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keypoints_visible = self.data['keypoints_visible']
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for name, cfg in self.configs:
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codec = KEYPOINT_CODECS.build(cfg)
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encoded = codec.encode(keypoints, keypoints_visible)
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_keypoints, _ = codec.decode(encoded['keypoint_labels'])
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self.assertTrue(
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np.allclose(keypoints, _keypoints, atol=5.),
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f'Failed case: "{name}"')
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