def setup(self):
if self.exp_id == 0:
# 17*17 denoising exp
self.ishape = Conv2DSpace(shape=(17, 17), num_channels=1)
self.path_train = "data/VOC_patch/"
self.path_test = "data/test/"
self.dataset_id = 2
self.batch_size = 10000
self.dl_id = str(self.exp_id) + "_" + str(self.model_id) + "_" + str(self.num_epoch)
self.param_pkl = "dl_p" + self.dl_id + ".pkl"
self.result_mat = "result/" + self.dl_id + "/dl_r" + str(self.test_id) + ".mat"
self.param = paramSet()
self.buildMLP()
def __init__(self,algo_id,model_id,num_epoch,num_dim,train_id,test_id):
self.algo_id = algo_id
self.model_id = model_id
self.num_epoch = num_epoch
self.num_dim = num_dim
self.train_id = train_id
self.test_id = test_id
self.path_train = None
self.path_test = None
self.p_data = None
self.batch_size = None
self.do_savew = True
self.param = paramSet()
self.p_monitor = {}