项目GitHub主页：https://github.com/orobix/retina-unet

参考论文：Retina blood vessel segmentation with a convolution neural network (U-net) Retina blood vessel segmentation with a convolution neural network (U-net)

import os, sys
import ConfigParser


#config file to read from
config = ConfigParser.RawConfigParser()
config.readfp(open(r'./configuration.txt'))
#===========================================
#name of the experiment!!
name_experiment = config.get('experiment name', 'name')
nohup = config.getboolean('testing settings', 'nohup')   #std output on log file?

#create a folder for the results if not existing already
result_dir = name_experiment
print "\n1. Create directory for the results (if not already existing)"
if os.path.exists(result_dir):
    pass
elif sys.platform=='win32':
    os.system('md ' + result_dir)
else:
    os.system('mkdir -p ' + result_dir)


# finally run the prediction
if nohup:
    print "\n2. Run the prediction with nohup (no GPU)"
    os.system(' nohup python -u ./src/retinaNN_predict.py > ' +'./'+name_experiment+'/'+name_experiment+'_prediction.nohup')
else:
    print "\n2. Run the prediction without nohup (no GPU)"
    os.system(run_GPU +' python ./src/retinaNN_predict.py')