torchio.datasets.fpg.FPG.plot() - Code Metrics - Inspection of "Fix loading of tissue probability maps" - fepegar/torchio - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — master ( 4b2fda...da3585 )

by Fernando

created 2020-11-02 22:37 UTC

torchio.datasets.fpg.FPG.plot() A

↳ Parent: torchio.datasets.fpg

Complexity

Conditions

Size

Total Lines	2
Code Lines	2

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	2
nop	3
dl	0
loc	2
rs	10
c	0
b	0
f	0

1			import urllib.parse
2			from torchvision.datasets.utils import download_url
3			from .. import Subject, ScalarImage, LabelMap, DATA_REPO
4			from ..utils import get_torchio_cache_dir
5			from ..data.io import read_matrix
6
7
8			class FPG(Subject):
9			"""Some images of myself for testing."""
10			def __init__(self):
11			repo_dir = urllib.parse.urljoin(DATA_REPO, 'fernando/')
12
13			self.filenames = {
14			't1': 't1.nii.gz',
15			'seg': 't1_seg_gif.nii.gz',
16			'rigid': 't1_to_mni.tfm',
17			'affine': 't1_to_mni_affine.h5',
18			}
19
20			download_root = get_torchio_cache_dir() / 'fpg'
21			for filename in self.filenames.values():
22			download_url(
23			urllib.parse.urljoin(repo_dir, filename),
24			download_root,
25			filename=filename,
26			)
27
28			rigid = read_matrix(download_root / self.filenames['rigid'])
29			affine = read_matrix(download_root / self.filenames['affine'])
30			subject_dict = {
31			't1': ScalarImage(
32			download_root / self.filenames['t1'],
33			rigid_matrix=rigid,
34			affine_matrix=affine,
35			),
36			'seg': LabelMap(
37			download_root / self.filenames['seg'],
38			rigid_matrix=rigid,
39			affine_matrix=affine,
40			),
41			}
42			super().__init__(subject_dict)
43			self.gif_colors = GIF_COLORS
44
45			def plot(self, args, *kwargs):
46			super().plot(args, *kwargs, cmap_dict=dict(seg=self.gif_colors))
47
48
49			GIF_COLORS = {
50			0: (0, 0, 0),
51			1: (0, 0, 0),
52			5: (127, 255, 212),
53			12: (240, 230, 140),
54			16: (176, 48, 96),
55			24: (48, 176, 96),
56			31: (48, 176, 96),
57			32: (103, 255, 255),
58			33: (103, 255, 255),
59			35: (238, 186, 243),
60			36: (119, 159, 176),
61			37: (122, 186, 220),
62			38: (122, 186, 220),
63			39: (96, 204, 96),
64			40: (96, 204, 96),
65			41: (220, 247, 164),
66			42: (220, 247, 164),
67			43: (205, 62, 78),
68			44: (205, 62, 78),
69			45: (225, 225, 225),
70			46: (225, 225, 225),
71			47: (60, 60, 60),
72			48: (220, 216, 20),
73			49: (220, 216, 20),
74			50: (196, 58, 250),
75			51: (196, 58, 250),
76			52: (120, 18, 134),
77			53: (120, 18, 134),
78			54: (255, 165, 0),
79			55: (255, 165, 0),
80			56: (12, 48, 255),
81			57: (12, 48, 225),
82			58: (236, 13, 176),
83			59: (236, 13, 176),
84			60: (0, 118, 14),
85			61: (0, 118, 14),
86			62: (165, 42, 42),
87			63: (165, 42, 42),
88			64: (160, 32, 240),
89			65: (160, 32, 240),
90			66: (56, 192, 255),
91			67: (56, 192, 255),
92			70: (255, 225, 225),
93			72: (184, 237, 194),
94			73: (180, 231, 250),
95			74: (225, 183, 231),
96			76: (180, 180, 180),
97			77: (180, 180, 180),
98			81: (245, 255, 200),
99			82: (255, 230, 255),
100			83: (245, 245, 245),
101			84: (220, 255, 220),
102			85: (220, 220, 220),
103			86: (200, 255, 255),
104			87: (250, 220, 200),
105			89: (245, 255, 200),
106			90: (255, 230, 255),
107			91: (245, 245, 245),
108			92: (220, 255, 220),
109			93: (220, 220, 220),
110			94: (200, 255, 255),
111			96: (140, 125, 255),
112			97: (140, 125, 255),
113			101: (255, 62, 150),
114			102: (255, 62, 150),
115			103: (160, 82, 45),
116			104: (160, 82, 45),
117			105: (165, 42, 42),
118			106: (165, 42, 42),
119			107: (205, 91, 69),
120			108: (205, 91, 69),
121			109: (100, 149, 237),
122			110: (100, 149, 237),
123			113: (135, 206, 235),
124			114: (135, 206, 235),
125			115: (250, 128, 114),
126			116: (250, 128, 114),
127			117: (255, 255, 0),
128			118: (255, 255, 0),
129			119: (221, 160, 221),
130			120: (221, 160, 221),
131			121: (0, 238, 0),
132			122: (0, 238, 0),
133			123: (205, 92, 92),
134			124: (205, 92, 92),
135			125: (176, 48, 96),
136			126: (176, 48, 96),
137			129: (152, 251, 152),
138			130: (152, 251, 152),
139			133: (50, 205, 50),
140			134: (50, 205, 50),
141			135: (0, 100, 0),
142			136: (0, 100, 0),
143			137: (173, 216, 230),
144			138: (173, 216, 230),
145			139: (153, 50, 204),
146			140: (153, 50, 204),
147			141: (160, 32, 240),
148			142: (160, 32, 240),
149			143: (0, 206, 208),
150			144: (0, 206, 208),
151			145: (51, 50, 135),
152			146: (51, 50, 135),
153			147: (135, 50, 74),
154			148: (135, 50, 74),
155			149: (218, 112, 214),
156			150: (218, 112, 214),
157			151: (240, 230, 140),
158			152: (240, 230, 140),
159			153: (255, 255, 0),
160			154: (255, 255, 0),
161			155: (255, 110, 180),
162			156: (255, 110, 180),
163			157: (0, 255, 255),
164			158: (0, 255, 255),
165			161: (100, 50, 100),
166			162: (100, 50, 100),
167			163: (178, 34, 34),
168			164: (178, 34, 34),
169			165: (255, 0, 255),
170			166: (255, 0, 255),
171			167: (39, 64, 139),
172			168: (39, 64, 139),
173			169: (255, 99, 71),
174			170: (255, 99, 71),
175			171: (255, 69, 0),
176			172: (255, 69, 0),
177			173: (210, 180, 140),
178			174: (210, 180, 140),
179			175: (0, 255, 127),
180			176: (0, 255, 127),
181			177: (74, 155, 60),
182			178: (74, 155, 60),
183			179: (255, 215, 0),
184			180: (255, 215, 0),
185			181: (238, 0, 0),
186			182: (238, 0, 0),
187			183: (46, 139, 87),
188			184: (46, 139, 87),
189			185: (238, 201, 0),
190			186: (238, 201, 0),
191			187: (102, 205, 170),
192			188: (102, 205, 170),
193			191: (255, 218, 185),
194			192: (255, 218, 185),
195			193: (238, 130, 238),
196			194: (238, 130, 238),
197			195: (255, 165, 0),
198			196: (255, 165, 0),
199			197: (255, 192, 203),
200			198: (255, 192, 203),
201			199: (244, 222, 179),
202			200: (244, 222, 179),
203			201: (208, 32, 144),
204			202: (208, 32, 144),
205			203: (34, 139, 34),
206			204: (34, 139, 34),
207			205: (125, 255, 212),
208			206: (127, 255, 212),
209			207: (0, 0, 128),
210			208: (0, 0, 128),
211			}
212

fepegar / torchio

Push — master ( 4b2fda...da3585 )

torchio.datasets.fpg.FPG.plot() A

Complexity

Size

Duplication

Importance

Duplication Side-by-Side

Filter issues like