  With the development of deep learning, Neural Network is commonly adopted to
the License Plate Detection (LPD) task and achieves much better performance and
precision, especially CNN-based networks can achieve state of the art
RetinaNet[1]. For a single object detection task such as LPD, modified general
object detection would be time-consuming, unable to cope with complex scenarios
and a cumbersome weights file that is too hard to deploy on the embedded
device.
