def Landmark_loss()

in losses.py [0:0]

• 5 lines of code
• 3 McCabe index (conditional complexity)

def Landmark_loss(landmark_p,landmark_label):

	# we set higher weights for landmarks around the mouth and nose regions
	landmark_weight = tf.concat([tf.ones([1,28]),20*tf.ones([1,3]),tf.ones([1,29]),20*tf.ones([1,8])],axis = 1)
	landmark_weight = tf.tile(landmark_weight,[tf.shape(landmark_p)[0],1])

	landmark_loss = tf.reduce_sum(tf.reduce_sum(tf.square(landmark_p-landmark_label),2)*landmark_weight)/(68.0*tf.cast(tf.shape(landmark_p)[0],tf.float32))

	return landmark_loss