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0efc562 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 | # Copyright (c) OpenMMLab. All rights reserved.
from unittest import TestCase
import numpy as np
from mmpose.codecs import SPR
from mmpose.registry import KEYPOINT_CODECS
from mmpose.testing import get_coco_sample
from mmpose.utils.tensor_utils import to_numpy, to_tensor
class TestSPR(TestCase):
def setUp(self) -> None:
pass
def _make_multi_instance_data(self, data):
keypoints = data['keypoints']
keypoints_visible = data['keypoints_visible']
keypoints_visible[..., 0] = 0
keypoints_outside = keypoints - keypoints.max(axis=-1, keepdims=True)
keypoints_outside_visible = np.zeros(keypoints_visible.shape)
keypoint_overlap = keypoints.mean(
axis=-1, keepdims=True) + 0.8 * (
keypoints - keypoints.mean(axis=-1, keepdims=True))
keypoint_overlap_visible = keypoints_visible
data['keypoints'] = np.concatenate(
(keypoints, keypoints_outside, keypoint_overlap), axis=0)
data['keypoints_visible'] = np.concatenate(
(keypoints_visible, keypoints_outside_visible,
keypoint_overlap_visible),
axis=0)
return data
def test_build(self):
cfg = dict(
type='SPR',
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=4,
)
codec = KEYPOINT_CODECS.build(cfg)
self.assertIsInstance(codec, SPR)
def test_encode(self):
data = get_coco_sample(img_shape=(512, 512), num_instances=1)
data = self._make_multi_instance_data(data)
# w/o keypoint heatmaps
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=4,
)
encoded = codec.encode(data['keypoints'], data['keypoints_visible'])
heatmaps = encoded['heatmaps']
displacements = encoded['displacements']
heatmap_weights = encoded['heatmap_weights']
displacement_weights = encoded['displacement_weights']
self.assertEqual(heatmaps.shape, (1, 128, 128))
self.assertEqual(heatmap_weights.shape, (1, 128, 128))
self.assertEqual(displacements.shape, (34, 128, 128))
self.assertEqual(displacement_weights.shape, (34, 128, 128))
# w/ keypoint heatmaps
with self.assertRaises(AssertionError):
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=4,
generate_keypoint_heatmaps=True,
)
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=(4, 2),
generate_keypoint_heatmaps=True,
)
encoded = codec.encode(data['keypoints'], data['keypoints_visible'])
heatmaps = encoded['heatmaps']
displacements = encoded['displacements']
heatmap_weights = encoded['heatmap_weights']
displacement_weights = encoded['displacement_weights']
self.assertEqual(heatmaps.shape, (18, 128, 128))
self.assertEqual(heatmap_weights.shape, (18, 128, 128))
self.assertEqual(displacements.shape, (34, 128, 128))
self.assertEqual(displacement_weights.shape, (34, 128, 128))
# root_type
with self.assertRaises(ValueError):
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=(4, ),
root_type='box_center',
)
encoded = codec.encode(data['keypoints'],
data['keypoints_visible'])
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=(4, ),
root_type='bbox_center',
)
encoded = codec.encode(data['keypoints'], data['keypoints_visible'])
heatmaps = encoded['heatmaps']
displacements = encoded['displacements']
heatmap_weights = encoded['heatmap_weights']
displacement_weights = encoded['displacement_weights']
self.assertEqual(heatmaps.shape, (1, 128, 128))
self.assertEqual(heatmap_weights.shape, (1, 128, 128))
self.assertEqual(displacements.shape, (34, 128, 128))
self.assertEqual(displacement_weights.shape, (34, 128, 128))
def test_decode(self):
data = get_coco_sample(img_shape=(512, 512), num_instances=1)
# decode w/o keypoint heatmaps
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=(4, ),
generate_keypoint_heatmaps=False,
)
encoded = codec.encode(data['keypoints'], data['keypoints_visible'])
decoded = codec.decode(
to_tensor(encoded['heatmaps']),
to_tensor(encoded['displacements']))
keypoints, (root_scores, keypoint_scores) = decoded
self.assertIsNone(keypoint_scores)
self.assertEqual(keypoints.shape, data['keypoints'].shape)
self.assertEqual(root_scores.shape, data['keypoints'].shape[:1])
# decode w/ keypoint heatmaps
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=(4, 2),
generate_keypoint_heatmaps=True,
)
encoded = codec.encode(data['keypoints'], data['keypoints_visible'])
decoded = codec.decode(
to_tensor(encoded['heatmaps']),
to_tensor(encoded['displacements']))
keypoints, (root_scores, keypoint_scores) = decoded
self.assertIsNotNone(keypoint_scores)
self.assertEqual(keypoints.shape, data['keypoints'].shape)
self.assertEqual(root_scores.shape, data['keypoints'].shape[:1])
self.assertEqual(keypoint_scores.shape, data['keypoints'].shape[:2])
def test_cicular_verification(self):
data = get_coco_sample(img_shape=(512, 512), num_instances=1)
codec = SPR(
input_size=(512, 512),
heatmap_size=(128, 128),
sigma=(4, ),
generate_keypoint_heatmaps=False,
)
encoded = codec.encode(data['keypoints'], data['keypoints_visible'])
decoded = codec.decode(
to_tensor(encoded['heatmaps']),
to_tensor(encoded['displacements']))
keypoints, _ = decoded
self.assertTrue(
np.allclose(to_numpy(keypoints), data['keypoints'], atol=5.))
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