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