def get_prob_data(self):
#if self_dataset == 'CHASEDB1':
probs_train=load_hdf5(self.hdf5_path+"/_"+self.dataset+"_prob_img.hdf5")
probs_vals=load_hdf5(self.hdf5_path+"/_"+self.dataset+"_prob_val_img.hdf5")
#groundTruth=load_hdf5(self.hdf5_path+"/_"+self.dataset+"_train_groundtruth.hdf5")
return probs_train,probs_vals
#
#for i in range(1):
# print(i)
def get_train_data(self):
imgs_train = load_hdf5(self.hdf5_path + "/train_img.hdf5")
groundTruth = load_hdf5(self.hdf5_path + "/train_groundtruth.hdf5")
return imgs_train, groundTruth
def get_val_data(self):
imgs_val = load_hdf5(self.hdf5_path + "/val_img.hdf5")
groundTruth = load_hdf5(self.hdf5_path + "/val_groundtruth.hdf5")
return imgs_val, groundTruth
def get_train_data(self):
#if self_dataset == 'CHASEDB1':
imgs_train=load_hdf5(self.hdf5_path+"/_"+self.dataset+"_train_img.hdf5")
groundTruth=load_hdf5(self.hdf5_path+"/_"+self.dataset+"_train_groundtruth.hdf5")
return imgs_train,groundTruth
