GitHub - Pandede WPODNet-Pytorch: The implementation of ECCV 2018 paper . . . This repository implements the proposed method from ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios" in Torch The model in Keras is built by the essay author, see sergiomsilva alpr-unconstrained Install PyTorch depends on your environment -w weights wpodnet pth # The path to the weight
wpodnet-pytorch · PyPI This repository implements the proposed method from ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios" in Torch The model in Keras is built by the essay author, see sergiomsilva alpr-unconstrained Install PyTorch depends on your environment
Detailed WPOD-NET architecture. | Download Scientific Diagram They used YOLOv2 for car detection and suggested Warped Planner Object Detection Network (WPOD-NET) which explores number plate and changes the perspective and make plate identifiable
File Goc Hybrid WPod-Net and Tesseract OCR For Intelligent Parking . . . This paper presents a hybrid deep learning architecture that combines WPod-Net and Tesseract OCR for Vietnamese license plate recognition in intelligent parking systems, achieving 87% detection accuracy and 84% character recognition accuracy
quangnhat185 Plate_detect_and_recognize - GitHub Read the series on Medium Part 1: Detection License Plate with Wpod-Net Part 2: Plate character segmentation with OpenCV Part 3: Recognize plate license characters with OpenCV and Deep Learning