def test_gather_random_addresses(self, mock_sample, mock_join):
mock_sample.return_value = ['C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_168.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_283.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_043.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_247.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_110.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_117.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_209.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_278.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_198.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_339.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_291.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_285.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_392.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_082.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_028.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_151.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_179.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_237.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_073.nii.gz', 'C:\\Users\\s149561\\Documents\\DecathlonData\\Task04_Hippocampus/imagesTs\\hippocampus_369.nii.gz']
mock_join.return_value = 'metafeature_extraction_result\\metadata'
self.assertEqual(
MetaFeatureExtraction.gather_random_addresses(self=<python_metal_fe.feature_extraction.main.MetaFeatureExtraction object at 0x000001CC0177EBE0>),
None
)
def test_load_model(self):
self.assertEqual(
MetaFeatureExtraction.load_model(self=<python_metal_fe.feature_extraction.main.MetaFeatureExtraction object at 0x000001CC0177EBE0>,model=<keras.engine.training.Model object at 0x000001CC0177E278>),
None
)
def test_gather_meta_features_DL_NoTop(self, mock_normalize, mock_read_nifti):
mock_normalize.return_value = array([[[0.55921053, 0.49342105, 0.44736842, ..., 0.58552632,
0.63815789, 0.64473684],
[0.55921053, 0.54605263, 0.54605263, ..., 0.60526316,
0.65789474, 0.63815789],
[0.56578947, 0.51315789, 0.46710526, ..., 0.56578947,
0.60526316, 0.60526316],
...,
[0.26315789, 0.28947368, 0.23026316, ..., 0.22368421,
0.34210526, 0.13815789],
[0.23684211, 0.23684211, 0.19078947, ..., 0.18421053,
0.33552632, 0.29605263],
[0.20394737, 0.19736842, 0.20394737, ..., 0.13815789,
0.20394737, 0.35526316]],
[[0.51315789, 0.51315789, 0.53289474, ..., 0.56578947,
0.61842105, 0.65131579],
[0.53947368, 0.52631579, 0.55921053, ..., 0.57894737,
0.59868421, 0.63157895],
[0.53947368, 0.50657895, 0.51315789, ..., 0.56578947,
0.57894737, 0.61184211],
...,
[0.25 , 0.25657895, 0.23684211, ..., 0.18421053,
0.23684211, 0.10526316],
[0.20394737, 0.21052632, 0.20394737, ..., 0.11184211,
0.15789474, 0.09210526],
[0.18421053, 0.15789474, 0.19078947, ..., 0.07236842,
0.11842105, 0.15131579]],
[[0.48684211, 0.5 , 0.53289474, ..., 0.54605263,
0.57894737, 0.625 ],
[0.55921053, 0.55921053, 0.58552632, ..., 0.55263158,
0.56578947, 0.60526316],
[0.56578947, 0.51973684, 0.53947368, ..., 0.54605263,
0.58552632, 0.60526316],
...,
[0.38815789, 0.32236842, 0.28289474, ..., 0.11842105,
0.13157895, 0.07894737],
[0.28289474, 0.22368421, 0.19736842, ..., 0.07894737,
0.03289474, 0.05921053],
[0.20394737, 0.13815789, 0.18421053, ..., 0.11184211,
0.07236842, 0.07236842]],
...,
[[0.30921053, 0.36842105, 0.40131579, ..., 0.52631579,
0.59210526, 0.59868421],
[0.38157895, 0.38157895, 0.31578947, ..., 0.59868421,
0.63157895, 0.63815789],
[0.32894737, 0.28947368, 0.25657895, ..., 0.59868421,
0.61184211, 0.61842105],
...,
[0.70394737, 0.67105263, 0.57236842, ..., 0.32894737,
0.28947368, 0.26973684],
[0.60526316, 0.63815789, 0.5 , ..., 0.26973684,
0.27631579, 0.25657895],
[0.5 , 0.54605263, 0.32236842, ..., 0.23684211,
0.26973684, 0.25657895]],
[[0.40131579, 0.40789474, 0.34210526, ..., 0.45394737,
0.53947368, 0.54605263],
[0.29605263, 0.30921053, 0.26315789, ..., 0.60526316,
0.65131579, 0.65131579],
[0.30921053, 0.31578947, 0.28289474, ..., 0.61842105,
0.61842105, 0.61842105],
...,
[0.55263158, 0.51315789, 0.56578947, ..., 0.28947368,
0.27631579, 0.25657895],
[0.50657895, 0.55263158, 0.51315789, ..., 0.27631579,
0.27631579, 0.28289474],
[0.44736842, 0.53947368, 0.35526316, ..., 0.29605263,
0.30263158, 0.32236842]],
[[0.34868421, 0.27631579, 0.23026316, ..., 0.33552632,
0.41447368, 0.43421053],
[0.36184211, 0.32894737, 0.32236842, ..., 0.54605263,
0.60526316, 0.59868421],
[0.45394737, 0.42105263, 0.40789474, ..., 0.61842105,
0.63157895, 0.625 ],
...,
[0.46710526, 0.34868421, 0.40131579, ..., 0.31578947,
0.30921053, 0.28289474],
[0.5 , 0.47368421, 0.40789474, ..., 0.33552632,
0.30921053, 0.31578947],
[0.5 , 0.42763158, 0.24342105, ..., 0.31578947,
0.29605263, 0.30263158]]])
mock_read_nifti.return_value = array([[[ 87, 77, 70, ..., 91, 99, 100],
[ 87, 85, 85, ..., 94, 102, 99],
[ 88, 80, 73, ..., 88, 94, 94],
...,
[ 42, 46, 37, ..., 36, 54, 23],
[ 38, 38, 31, ..., 30, 53, 47],
[ 33, 32, 33, ..., 23, 33, 56]],
[[ 80, 80, 83, ..., 88, 96, 101],
[ 84, 82, 87, ..., 90, 93, 98],
[ 84, 79, 80, ..., 88, 90, 95],
...,
[ 40, 41, 38, ..., 30, 38, 18],
[ 33, 34, 33, ..., 19, 26, 16],
[ 30, 26, 31, ..., 13, 20, 25]],
[[ 76, 78, 83, ..., 85, 90, 97],
[ 87, 87, 91, ..., 86, 88, 94],
[ 88, 81, 84, ..., 85, 91, 94],
...,
[ 61, 51, 45, ..., 20, 22, 14],
[ 45, 36, 32, ..., 14, 7, 11],
[ 33, 23, 30, ..., 19, 13, 13]],
...,
[[ 49, 58, 63, ..., 82, 92, 93],
[ 60, 60, 50, ..., 93, 98, 99],
[ 52, 46, 41, ..., 93, 95, 96],
...,
[109, 104, 89, ..., 52, 46, 43],
[ 94, 99, 78, ..., 43, 44, 41],
[ 78, 85, 51, ..., 38, 43, 41]],
[[ 63, 64, 54, ..., 71, 84, 85],
[ 47, 49, 42, ..., 94, 101, 101],
[ 49, 50, 45, ..., 96, 96, 96],
...,
[ 86, 80, 88, ..., 46, 44, 41],
[ 79, 86, 80, ..., 44, 44, 45],
[ 70, 84, 56, ..., 47, 48, 51]],
[[ 55, 44, 37, ..., 53, 65, 68],
[ 57, 52, 51, ..., 85, 94, 93],
[ 71, 66, 64, ..., 96, 98, 97],
...,
[ 73, 55, 63, ..., 50, 49, 45],
[ 78, 74, 64, ..., 53, 49, 50],
[ 78, 67, 39, ..., 50, 47, 48]]], dtype=uint8)
self.assertEqual(
MetaFeatureExtraction.gather_meta_features_DL_NoTop(self=<python_metal_fe.feature_extraction.main.MetaFeatureExtraction object at 0x000001CC02B11E48>),
None
)
def test_gather_meta_features(self):
self.assertEqual(
MetaFeatureExtraction.gather_meta_features(self=<python_metal_fe.feature_extraction.main.MetaFeatureExtraction object at 0x000001CC02B11E48>),
None
)
def test_im2features(self, mock_preprocess_input, mock_predict, mock_expand_dims):
mock_preprocess_input.return_value = array([[[[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
...,
[-103.51 , -116.35 , -123.251 ],
[-103.51137 , -116.351364, -123.252365],
[-103.51137 , -116.351364, -123.252365]],
[[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
...,
[-103.51 , -116.35 , -123.251 ],
[-103.51137 , -116.351364, -123.252365],
[-103.51137 , -116.351364, -123.252365]],
[[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
...,
[-103.51 , -116.35 , -123.251 ],
[-103.51137 , -116.351364, -123.252365],
[-103.51137 , -116.351364, -123.252365]],
...,
[[-103.735054, -116.57505 , -123.47605 ],
[-103.735054, -116.57505 , -123.47605 ],
[-103.737335, -116.57733 , -123.47833 ],
...,
[-103.34148 , -116.18147 , -123.08247 ],
[-103.33374 , -116.17374 , -123.07474 ],
[-103.33374 , -116.17374 , -123.07474 ]],
[[-103.735054, -116.57505 , -123.47605 ],
[-103.735054, -116.57505 , -123.47605 ],
[-103.737335, -116.57733 , -123.47833 ],
...,
[-103.34148 , -116.18147 , -123.08247 ],
[-103.33374 , -116.17374 , -123.07474 ],
[-103.33374 , -116.17374 , -123.07474 ]],
[[-103.735054, -116.57505 , -123.47605 ],
[-103.735054, -116.57505 , -123.47605 ],
[-103.737335, -116.57733 , -123.47833 ],
...,
[-103.34148 , -116.18147 , -123.08247 ],
[-103.33374 , -116.17374 , -123.07474 ],
[-103.33374 , -116.17374 , -123.07474 ]]]], dtype=float32)
mock_predict.return_value = array([[[[ 0. , 0. , 0. , ..., 0. ,
0. , 8.141227 ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
29.961752 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
0. , 29.71879 ],
[ 0. , 0. , 2.835238 , ..., 0. ,
0. , 15.518286 ],
[ 0. , 0. , 0. , ..., 0. ,
0.6441987 , 6.586091 ],
...,
[ 0. , 0. , 0.580748 , ..., 0. ,
2.0914862 , 5.675252 ],
[ 0. , 0. , 1.2477144 , ..., 0. ,
8.349115 , 6.786959 ],
[ 0. , 0. , 0. , ..., 0. ,
38.001587 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
9.460437 , 12.843406 ],
[ 0. , 0. , 4.551975 , ..., 0. ,
1.1275748 , 0.23358706],
[ 0. , 0. , 2.824609 , ..., 0. ,
2.9222782 , 0. ],
...,
[ 0. , 0. , 4.5289993 , ..., 0. ,
2.7016513 , 0. ],
[ 0. , 0. , 5.3546715 , ..., 0. ,
8.162596 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
28.414124 , 0. ]],
...,
[[ 0. , 0. , 0. , ..., 0. ,
11.060561 , 1.5057058 ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
3.1433582 , 0. ],
[ 0. , 0. , 0.51929885, ..., 0. ,
22.511705 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
11.562549 , 7.6590276 ],
[ 0. , 0. , 0. , ..., 0. ,
11.519301 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
11.947106 , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
9.874453 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
6.3303103 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
24.514198 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
0.23088229, 42.302994 ],
[ 0. , 0. , 11.719561 , ..., 0. ,
11.762271 , 28.06691 ],
[ 0. , 0. , 8.519634 , ..., 0. ,
12.18072 , 18.185322 ],
...,
[ 0. , 0. , 7.27026 , ..., 0. ,
9.187942 , 17.866184 ],
[ 0. , 0. , 8.820536 , ..., 0. ,
7.339248 , 24.715927 ],
[ 0. , 0. , 0. , ..., 0. ,
26.812273 , 26.495995 ]]]], dtype=float32)
mock_expand_dims.return_value = array([[[[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
...,
[-123.251 , -116.35 , -103.51 ],
[-123.252365, -116.351364, -103.51137 ],
[-123.252365, -116.351364, -103.51137 ]],
[[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
...,
[-123.251 , -116.35 , -103.51 ],
[-123.252365, -116.351364, -103.51137 ],
[-123.252365, -116.351364, -103.51137 ]],
[[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
...,
[-123.251 , -116.35 , -103.51 ],
[-123.252365, -116.351364, -103.51137 ],
[-123.252365, -116.351364, -103.51137 ]],
...,
[[-123.47605 , -116.57505 , -103.735054],
[-123.47605 , -116.57505 , -103.735054],
[-123.47833 , -116.57733 , -103.737335],
...,
[-123.08247 , -116.18147 , -103.34148 ],
[-123.07474 , -116.17374 , -103.33374 ],
[-123.07474 , -116.17374 , -103.33374 ]],
[[-123.47605 , -116.57505 , -103.735054],
[-123.47605 , -116.57505 , -103.735054],
[-123.47833 , -116.57733 , -103.737335],
...,
[-123.08247 , -116.18147 , -103.34148 ],
[-123.07474 , -116.17374 , -103.33374 ],
[-123.07474 , -116.17374 , -103.33374 ]],
[[-123.47605 , -116.57505 , -103.735054],
[-123.47605 , -116.57505 , -103.735054],
[-123.47833 , -116.57733 , -103.737335],
...,
[-123.08247 , -116.18147 , -103.34148 ],
[-123.07474 , -116.17374 , -103.33374 ],
[-123.07474 , -116.17374 , -103.33374 ]]]], dtype=float32)
self.assertEqual(
MetaFeatureExtraction.im2features(self=<python_metal_fe.feature_extraction.main.MetaFeatureExtraction object at 0x000001CC02B11E48>,im=array([[0.7518248 , 0.81751823, 0.7883212 , ..., 0.13868612, 0.13868612,
0.11678832],
[0.69343066, 0.73722625, 0.7518248 , ..., 0.25547445, 0.22627737,
0.22627737],
[0.6788321 , 0.75912404, 0.6423357 , ..., 0.3430657 , 0.3138686 ,
0.3430657 ],
...,
[0.3941606 , 0.4452555 , 0.5328467 , ..., 0.4452555 , 0.46715328,
0.40145984],
[0.42335764, 0.35036495, 0.3941606 , ..., 0.4306569 , 0.4452555 ,
0.42335764],
[0.21167882, 0.21897809, 0.1970803 , ..., 0.4452555 , 0.3941606 ,
0.37956202]], dtype=float32)),
array([[[[ 0. , 0. , 0. , ..., 0. ,
0. , 8.39483 ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
29.514074 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
0. , 30.218077 ],
[ 0. , 0. , 2.907573 , ..., 0. ,
0. , 16.761696 ],
[ 0. , 0. , 0. , ..., 0. ,
0.24544789, 6.871933 ],
...,
[ 0. , 0. , 0.3696657 , ..., 0. ,
1.5756164 , 4.8202267 ],
[ 0. , 0. , 1.2030082 , ..., 0. ,
8.428752 , 5.7548165 ],
[ 0. , 0. , 0. , ..., 0. ,
37.539936 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
9.840029 , 13.206616 ],
[ 0. , 0. , 4.9737697 , ..., 0. ,
1.160078 , 0. ],
[ 0. , 0. , 3.2211962 , ..., 0. ,
2.764505 , 0. ],
...,
[ 0. , 0. , 4.1116834 , ..., 0. ,
2.175942 , 0. ],
[ 0. , 0. , 5.0745296 , ..., 0. ,
8.256621 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
28.414555 , 0. ]],
...,
[[ 0. , 0. , 0. , ..., 0. ,
11.592176 , 1.8357276 ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
3.5481346 , 0. ],
[ 0. , 0. , 0.5232422 , ..., 0. ,
22.63367 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
11.959509 , 7.612021 ],
[ 0. , 0. , 0. , ..., 0. ,
12.079426 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
12.362753 , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
9.954002 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
6.524548 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
23.968529 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
1.0953846 , 42.328564 ],
[ 0. , 0. , 11.704709 , ..., 0. ,
12.565091 , 28.663837 ],
[ 0. , 0. , 8.53854 , ..., 0. ,
12.311109 , 18.982222 ],
...,
[ 0. , 0. , 7.1074886 , ..., 0. ,
9.380178 , 18.157173 ],
[ 0. , 0. , 8.867344 , ..., 0. ,
7.6721883 , 25.39309 ],
[ 0. , 0. , 0. , ..., 0. ,
26.90984 , 27.210238 ]]]], dtype=float32)
)
def test_im2features(self, mock_preprocess_input, mock_predict, mock_expand_dims):
mock_preprocess_input.return_value = array([[[[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
...,
[-103.51 , -116.35 , -123.251 ],
[-103.51137 , -116.351364, -123.252365],
[-103.51137 , -116.351364, -123.252365]],
[[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
...,
[-103.51 , -116.35 , -123.251 ],
[-103.51137 , -116.351364, -123.252365],
[-103.51137 , -116.351364, -123.252365]],
[[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
[-103.32058 , -116.160576, -123.06158 ],
...,
[-103.51 , -116.35 , -123.251 ],
[-103.51137 , -116.351364, -123.252365],
[-103.51137 , -116.351364, -123.252365]],
...,
[[-103.735054, -116.57505 , -123.47605 ],
[-103.735054, -116.57505 , -123.47605 ],
[-103.737335, -116.57733 , -123.47833 ],
...,
[-103.34148 , -116.18147 , -123.08247 ],
[-103.33374 , -116.17374 , -123.07474 ],
[-103.33374 , -116.17374 , -123.07474 ]],
[[-103.735054, -116.57505 , -123.47605 ],
[-103.735054, -116.57505 , -123.47605 ],
[-103.737335, -116.57733 , -123.47833 ],
...,
[-103.34148 , -116.18147 , -123.08247 ],
[-103.33374 , -116.17374 , -123.07474 ],
[-103.33374 , -116.17374 , -123.07474 ]],
[[-103.735054, -116.57505 , -123.47605 ],
[-103.735054, -116.57505 , -123.47605 ],
[-103.737335, -116.57733 , -123.47833 ],
...,
[-103.34148 , -116.18147 , -123.08247 ],
[-103.33374 , -116.17374 , -123.07474 ],
[-103.33374 , -116.17374 , -123.07474 ]]]], dtype=float32)
mock_predict.return_value = array([[[[ 0. , 0. , 0. , ..., 0. ,
0. , 8.141227 ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
29.961752 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
0. , 29.71879 ],
[ 0. , 0. , 2.835238 , ..., 0. ,
0. , 15.518286 ],
[ 0. , 0. , 0. , ..., 0. ,
0.6441987 , 6.586091 ],
...,
[ 0. , 0. , 0.580748 , ..., 0. ,
2.0914862 , 5.675252 ],
[ 0. , 0. , 1.2477144 , ..., 0. ,
8.349115 , 6.786959 ],
[ 0. , 0. , 0. , ..., 0. ,
38.001587 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
9.460437 , 12.843406 ],
[ 0. , 0. , 4.551975 , ..., 0. ,
1.1275748 , 0.23358706],
[ 0. , 0. , 2.824609 , ..., 0. ,
2.9222782 , 0. ],
...,
[ 0. , 0. , 4.5289993 , ..., 0. ,
2.7016513 , 0. ],
[ 0. , 0. , 5.3546715 , ..., 0. ,
8.162596 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
28.414124 , 0. ]],
...,
[[ 0. , 0. , 0. , ..., 0. ,
11.060561 , 1.5057058 ],
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0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
3.1433582 , 0. ],
[ 0. , 0. , 0.51929885, ..., 0. ,
22.511705 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
11.562549 , 7.6590276 ],
[ 0. , 0. , 0. , ..., 0. ,
11.519301 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
11.947106 , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
9.874453 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
6.3303103 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
24.514198 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
0.23088229, 42.302994 ],
[ 0. , 0. , 11.719561 , ..., 0. ,
11.762271 , 28.06691 ],
[ 0. , 0. , 8.519634 , ..., 0. ,
12.18072 , 18.185322 ],
...,
[ 0. , 0. , 7.27026 , ..., 0. ,
9.187942 , 17.866184 ],
[ 0. , 0. , 8.820536 , ..., 0. ,
7.339248 , 24.715927 ],
[ 0. , 0. , 0. , ..., 0. ,
26.812273 , 26.495995 ]]]], dtype=float32)
mock_expand_dims.return_value = array([[[[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
...,
[-123.251 , -116.35 , -103.51 ],
[-123.252365, -116.351364, -103.51137 ],
[-123.252365, -116.351364, -103.51137 ]],
[[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
...,
[-123.251 , -116.35 , -103.51 ],
[-123.252365, -116.351364, -103.51137 ],
[-123.252365, -116.351364, -103.51137 ]],
[[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
[-123.06158 , -116.160576, -103.32058 ],
...,
[-123.251 , -116.35 , -103.51 ],
[-123.252365, -116.351364, -103.51137 ],
[-123.252365, -116.351364, -103.51137 ]],
...,
[[-123.47605 , -116.57505 , -103.735054],
[-123.47605 , -116.57505 , -103.735054],
[-123.47833 , -116.57733 , -103.737335],
...,
[-123.08247 , -116.18147 , -103.34148 ],
[-123.07474 , -116.17374 , -103.33374 ],
[-123.07474 , -116.17374 , -103.33374 ]],
[[-123.47605 , -116.57505 , -103.735054],
[-123.47605 , -116.57505 , -103.735054],
[-123.47833 , -116.57733 , -103.737335],
...,
[-123.08247 , -116.18147 , -103.34148 ],
[-123.07474 , -116.17374 , -103.33374 ],
[-123.07474 , -116.17374 , -103.33374 ]],
[[-123.47605 , -116.57505 , -103.735054],
[-123.47605 , -116.57505 , -103.735054],
[-123.47833 , -116.57733 , -103.737335],
...,
[-123.08247 , -116.18147 , -103.34148 ],
[-123.07474 , -116.17374 , -103.33374 ],
[-123.07474 , -116.17374 , -103.33374 ]]]], dtype=float32)
self.assertEqual(
MetaFeatureExtraction.im2features(self=<python_metal_fe.feature_extraction.main.MetaFeatureExtraction object at 0x000001CC0177EBE0>,im=array([[0.24170616, 0.27014217, 0.43601897, ..., 0.35545024, 0.3222749 ,
0.2748815 ],
[0.22748816, 0.3507109 , 0.55450237, ..., 0.45971566, 0.4265403 ,
0.40758294],
[0.4265403 , 0.51658773, 0.54028434, ..., 0.5687204 , 0.53080565,
0.48341233],
...,
[0.3507109 , 0.3364929 , 0.3507109 , ..., 0.54028434, 0.42180094,
0.3507109 ],
[0.35545024, 0.2606635 , 0.25118485, ..., 0.38388628, 0.36966825,
0.33175358],
[0.22748816, 0.17061612, 0.24170616, ..., 0.24170616, 0.25118485,
0.2748815 ]], dtype=float32)),
array([[[[ 0. , 0. , 0. , ..., 0. ,
0. , 8.1096735 ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
29.744665 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
0. , 29.499908 ],
[ 0. , 0. , 3.0435605 , ..., 0. ,
0. , 16.362541 ],
[ 0. , 0. , 0. , ..., 0. ,
0.77060723, 6.805277 ],
...,
[ 0. , 0. , 0.29119036, ..., 0. ,
2.1170866 , 5.7534957 ],
[ 0. , 0. , 0.9777852 , ..., 0. ,
8.4180975 , 6.490175 ],
[ 0. , 0. , 0. , ..., 0. ,
37.715023 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
9.238224 , 13.015331 ],
[ 0. , 0. , 5.0521483 , ..., 0. ,
1.3193543 , 0. ],
[ 0. , 0. , 3.290788 , ..., 0. ,
2.9520316 , 0. ],
...,
[ 0. , 0. , 4.2575765 , ..., 0. ,
2.84291 , 0. ],
[ 0. , 0. , 5.118063 , ..., 0. ,
8.333411 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
28.447735 , 0. ]],
...,
[[ 0. , 0. , 0. , ..., 0. ,
11.09842 , 2.0288312 ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
0. , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
3.2852535 , 0. ],
[ 0. , 0. , 0.47811043, ..., 0. ,
22.539162 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
11.752235 , 7.4551573 ],
[ 0. , 0. , 0. , ..., 0. ,
11.9097 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
12.205123 , 0. ],
...,
[ 0. , 0. , 0. , ..., 0. ,
9.898854 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
6.580569 , 0. ],
[ 0. , 0. , 0. , ..., 0. ,
24.278385 , 0. ]],
[[ 0. , 0. , 0. , ..., 0. ,
0.49857038, 42.17754 ],
[ 0. , 0. , 11.72733 , ..., 0. ,
12.191268 , 28.420885 ],
[ 0. , 0. , 8.683831 , ..., 0. ,
12.391597 , 18.71187 ],
...,
[ 0. , 0. , 7.2902384 , ..., 0. ,
9.356304 , 18.013643 ],
[ 0. , 0. , 8.937866 , ..., 0. ,
7.572917 , 25.315353 ],
[ 0. , 0. , 0. , ..., 0. ,
26.833672 , 27.171438 ]]]], dtype=float32)
)