forked from spatial-image/multiscale-spatial-image
-
Notifications
You must be signed in to change notification settings - Fork 0
/
test_to_multiscale_dask_image.py
91 lines (74 loc) · 3.89 KB
/
test_to_multiscale_dask_image.py
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
from multiscale_spatial_image import Methods, to_multiscale
from ._data import input_images, verify_against_baseline, store_new_image
def test_gaussian_isotropic_scale_factors(input_images):
dataset_name = "cthead1"
image = input_images[dataset_name]
baseline_name = "2_4/DASK_IMAGE_GAUSSIAN"
multiscale = to_multiscale(image, [2, 4], method=Methods.DASK_IMAGE_GAUSSIAN)
verify_against_baseline(dataset_name, baseline_name, multiscale)
dataset_name = "cthead1"
image = input_images[dataset_name]
baseline_name = "2_3/DASK_IMAGE_GAUSSIAN"
multiscale = to_multiscale(image, [2, 3], method=Methods.DASK_IMAGE_GAUSSIAN)
verify_against_baseline(dataset_name, baseline_name, multiscale)
dataset_name = "small_head"
image = input_images[dataset_name]
baseline_name = "2_3_4/DASK_IMAGE_GAUSSIAN"
multiscale = to_multiscale(image, [2, 3, 4], method=Methods.DASK_IMAGE_GAUSSIAN)
verify_against_baseline(dataset_name, baseline_name, multiscale)
def test_gaussian_anisotropic_scale_factors(input_images):
dataset_name = "cthead1"
image = input_images[dataset_name]
scale_factors = [{"x": 2, "y": 4}, {"x": 1, "y": 2}]
multiscale = to_multiscale(image, scale_factors, method=Methods.DASK_IMAGE_GAUSSIAN)
baseline_name = "x2y4_x1y2/DASK_IMAGE_GAUSSIAN"
verify_against_baseline(dataset_name, baseline_name, multiscale)
dataset_name = "small_head"
image = input_images[dataset_name]
scale_factors = [
{"x": 3, "y": 2, "z": 4},
{"x": 2, "y": 2, "z": 2},
{"x": 1, "y": 2, "z": 1},
]
multiscale = to_multiscale(image, scale_factors, method=Methods.DASK_IMAGE_GAUSSIAN)
baseline_name = "x3y2z4_x2y2z2_x1y2z1/DASK_IMAGE_GAUSSIAN"
verify_against_baseline(dataset_name, baseline_name, multiscale)
def test_label_nearest_isotropic_scale_factors(input_images):
dataset_name = "2th_cthead1"
image = input_images[dataset_name]
baseline_name = "2_4/DASK_IMAGE_NEAREST"
multiscale = to_multiscale(image, [2, 4], method=Methods.DASK_IMAGE_NEAREST)
store_new_image(dataset_name, baseline_name, multiscale)
verify_against_baseline(dataset_name, baseline_name, multiscale)
dataset_name = "2th_cthead1"
image = input_images[dataset_name]
baseline_name = "2_3/DASK_IMAGE_NEAREST"
multiscale = to_multiscale(image, [2, 3], method=Methods.DASK_IMAGE_NEAREST)
store_new_image(dataset_name, baseline_name, multiscale)
verify_against_baseline(dataset_name, baseline_name, multiscale)
def test_label_nearest_anisotropic_scale_factors(input_images):
dataset_name = "2th_cthead1"
image = input_images[dataset_name]
scale_factors = [{"x": 2, "y": 4}, {"x": 1, "y": 2}]
multiscale = to_multiscale(image, scale_factors, method=Methods.DASK_IMAGE_NEAREST)
baseline_name = "x2y4_x1y2/DASK_IMAGE_NEAREST"
store_new_image(dataset_name, baseline_name, multiscale)
verify_against_baseline(dataset_name, baseline_name, multiscale)
def test_label_mode_isotropic_scale_factors(input_images):
dataset_name = "2th_cthead1"
image = input_images[dataset_name]
baseline_name = "2_4/DASK_IMAGE_MODE"
multiscale = to_multiscale(image, [2, 4], method=Methods.DASK_IMAGE_MODE)
verify_against_baseline(dataset_name, baseline_name, multiscale)
dataset_name = "2th_cthead1"
image = input_images[dataset_name]
baseline_name = "2_3/DASK_IMAGE_MODE"
multiscale = to_multiscale(image, [2, 3], method=Methods.DASK_IMAGE_MODE)
verify_against_baseline(dataset_name, baseline_name, multiscale)
def test_label_mode_anisotropic_scale_factors(input_images):
dataset_name = "2th_cthead1"
image = input_images[dataset_name]
scale_factors = [{"x": 2, "y": 4}, {"x": 1, "y": 2}]
multiscale = to_multiscale(image, scale_factors, method=Methods.DASK_IMAGE_MODE)
baseline_name = "x2y4_x1y2/DASK_IMAGE_MODE"
verify_against_baseline(dataset_name, baseline_name, multiscale)