Code for IDRID Sub-challenge 1 using U-Net
Home Page: https://idrid.grand-challenge.org/
U-Net implementation in Keras from https://github.com/zhixuhao/unet
$ python3 scripts/mat_to_npy.py to generate data from .mat files$ python3 train_unet.py to train neural network
hey,I am studying the idrid contest too,I find the number of pictures in your 'images/jpg/train_set' is 127 totally,I wanna know the the number of EX datasets given by grandchanllenge is only 54,how do you get so much datasets?
About IDRID , sub-challenge2, I have some doubt. what is the difference in train database and test database between on-site challenge and online challenge?
what is more, can I add kaggle's database to the training set according to the Challenge?
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