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[myo-class.git] / totraindir.py
1 from os import listdir as ls
2 import png
3 import pydicom
4 from os.path import join
5
6 # locals
7 from topng import topng, mask
8 from regularjson import search, RT_PATH, JSON_GTS, INFA_STR, EPI_STR
9
10 # constants
11 GLOB_DIR = '../../Data/Images_anonymous/'
12 OUT_DIR = './generated/train/'
13 INDICE_CASE = 'Case'
14
15 START = None # to manage the number of Patient Case to use in training + validation, if START == None => 0, if END == None => last index, it will use all in GLOB_DIR
16 END = None
17
18
19 def get(l, i, r):
20         if len(l) <= 1:
21                 return sorted( ls(r) )
22
23 if __name__ == '__main__':
24         l = sorted(ls(GLOB_DIR))
25
26         # Initiliaze 
27         wmin = hmin = None # None is important here, confert the 'minimum' algo
28         wmax = hmax = w = h = 0
29
30         for cas in l[START:END]:# cas like 'Case0002'
31                 caspath = join(GLOB_DIR, cas)
32
33                 if not INDICE_CASE in cas:# if the directory name doesn't sound familiar
34                         continue
35
36                 l1 = sorted( ls( caspath ) )# just ls one CaseXXXX and sort the result
37                 # $$NOTRUSTREF here we need to sort because there is no trusted ref or id
38
39                 r = search(RT_PATH, cas)
40
41                 print(cas, end=' ', flush=True) # log CaseXXXX
42
43                 if not r: # if the feature doesn't yet labeled by an expert go to next
44                         continue
45                 r = search(r['path'], '.') # to be more dynamic, here can just be '.' instead of '1.2.3.4.5.6'
46
47                 if r:
48                         r = r['path']
49                         try:
50                                 l2 = sorted( ls(r) ) # $$NOTRUSTREF
51                         except NotADirectoryError as e:
52                                 print("WARN", "a file in unexcepted place")
53                                 continue
54
55                         if 0 < len(l2) < len(l1):
56                                 r = join(r, l2[0])
57                                 l2 = sorted( ls(r) ) # $$NOTRUSTREF
58                                 # Try once : check subdirectory if i'am not the right
59
60                         if 0 < len(l2) < len(l1):
61                                 # TODO: log, json doesn't match with images (labels != features)
62                                 print("WARN", "json doesn't match with images (labels != features), Case", cas)
63                                 continue
64                                 pass
65
66                         for i, dic in enumerate(l1):
67                                 # print('join', r, l2[i])
68                                 ref = join(r, l2[i]) # logically, should be the json ref of i dicom image
69
70                                 infarctus = search(ref, INFA_STR)
71                                 # epimask = mask(ref, EPI_STR)
72                                 # print("infarctus:", infarctus) # Testing..
73                                 # topng(join(caspath, dic), '%/%-%' % (join(OUT_DIR, 'infarctus'), cas, dic)
74                                 w, h = topng(join(caspath, dic), '{}/{}-{}'.format(join(OUT_DIR, 'infarctus' if infarctus else 'noinfarctus'), cas, dic))
75
76                                 # search maximums
77                                 if wmax < w: wmax = w 
78                                 if hmax < h: hmax = h
79
80                                 # search width minimum
81                                 if wmin is None: wmin = w
82                                 elif wmin > w: wmin = w
83                                 
84                                 # search height minimum
85                                 if hmin is None: hmin = h
86                                 elif hmin > h: hmin = h
87
88         print('min-width, max-width:', (wmin, wmax))
89         print('min-height, max-height:', (hmin, hmax))
90
91         print('Ended!')