項目GitHub主頁：https://github.com/orobix/retina-unet

參考論文：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') 代碼很簡單，可以直接參考run_training.

總結

以上是生活随笔為你收集整理的Unet项目解析(3): run_testing.py的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。