import tensorflow as tf

      pred_y = pred_y * tf.cast(pred_max>0, tf.float32) + tf.cast(pred_max<=0, tf.float32) * (height / 2.)

    if config.PRED_DEBUG:
      pred_indices_ = tf.squeeze(pred_indices)
      image_ = tf.squeeze(image) * 255.
      pred_heatmap = tf.one_hot(pred_indices_, heatmap_size*heatmap_size, on_value=1., off_value=0., axis=-1, dtype=tf.float32)

      pred_heatmap = tf.reshape(pred_heatmap, [-1, heatmap_size, heatmap_size])
