#Chinese plate recognition

This software uses U-Net for precise image segmentation and cv2 for detecting and correcting edges of Chinese license plates. It employs a convolutional neural network (CNN) for comprehensive, end-to-end recognition. Built with Python 3.6 and TensorFlow's Keras, it performs well even under challenging conditions like skewed angles or poor lighting. Ensure any input images without specific location needs are 240x80 or smaller to achieve optimal recognition results.