import tensorflow as tf

    'backbone', 'seresnext50',#or seresnext50 seresnet50
    'The backbone network to use for feature pyramid.')
tf.app.flags.DEFINE_float(
    'heatmap_sigma', 1.,
    'The sigma of Gaussian which generate the target heatmap.')
tf.app.flags.DEFINE_float(
    'bbox_border', 25.,
    'The nearest distance of the crop border to al keypoints.')
tf.app.flags.DEFINE_integer(
    'train_epochs', 50,
