import tensorflow as tf

        Build the RESNET model using loaded weights
        """

        print("Building the RESNET..")

        # Convert RGB to BGR
        with tf.name_scope('Pre_Processing'):
            self.x_preprocessed = self.x_input * (1.0 / 255.0)
#            self.x_preprocessed= self.x_input
            stat= torchfile.load('stat.t7')
            self.resnet_mean= stat.transpose(1,2,0)
#            self.resnet_mean = tf.constant([0.2869, 0.3251, 0.2839], dtype=tf.float32)
