Created
July 10, 2018 17:54
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convert MINC landmark tag file into two txt-files readable for c3d landmark-to-spheres
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import numpy as np | |
import argparse | |
def main(): | |
parser = argparse.ArgumentParser() | |
parser.add_argument("--inputtag", dest="inputtag", help="input tag file from (MINC)", default=None, required=True) | |
parser.add_argument("--savetxt", dest="savetxt", help="output landmark file to (txt)", default=None, required=True) | |
options = parser.parse_args() | |
d_options = vars(options) | |
landmarks = [] | |
with open(d_options['inputtag']) as f: | |
lines=f.readlines() | |
for line in lines: | |
myarray = np.fromstring(line, dtype=float, sep=' ') | |
if(len(myarray)==6): | |
landmarks.append(myarray) | |
landmarks = np.asarray(landmarks) | |
#print(landmarks) | |
with open(d_options['savetxt']+"_mri.txt", "w") as text_file: | |
for i in range(landmarks.shape[0]): | |
text_file.write("%f %f %f %d \n" % (landmarks[i,0],landmarks[i,1],landmarks[i,2],i)) | |
with open(d_options['savetxt']+"_us.txt", "w") as text_file: | |
for i in range(landmarks.shape[0]): | |
text_file.write("%f %f %f %d \n" % (landmarks[i,3],landmarks[i,4],landmarks[i,5],i)) | |
if __name__ == '__main__': | |
main() |
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