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convolutional_neural_networks--car_plate_recognition's Introduction

Application of Convolutional Neural Networks, Car Plate Recognition

Python3 Project

Library requirements

  1. matplotlib
  2. numpy
  3. scipy
  4. skimage
  5. sklearn
  6. pandas
  7. tensorflow
IMAGE PREPROCESSING DETECTION RECOGNITION
INFO Shadow removal, Edge detection DBSCAN Deep CNN
LIBRARY scikit-image scikit-learn Tensorflow

Get Started

  1. Clone git
$ git clone https://github.com/EfMichalis/Convolutional_Neural_Networks-Car_Plate_Recognition
  1. Move to folder
$ cd path\to\Convolutional_Neural_Networks-Car_Plate_Recognition
  1. Set up Carplates
Convolutional_Neural_Networks-Car_Plate_Recognition$ python3 setup.py
  1. Move to SCRIPTS folder
Convolutional_Neural_Networks-Car_Plate_Recognition$ cd SCRIPTS
  1. Here are tow files ALL_CAR_PLATES_TESTING_RESULTS.py and SINGLE_CAR_PLATE_RESULT_DETAILS.py, the second one has input arguments, e.g:
Convolutional_Neural_Networks-Car_Plate_Recognition/SCRIPTS$ python3 SINGLE_CAR_PLATE_RESULT_DETAILS.py id

where id is the number from carplate's file name.

convolutional_neural_networks--car_plate_recognition's People

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