Raspberry Pi 3 Cookbook for Python Programmers - Third Edition

How to do it...

1. Import the necessary packages:

import cv2 
import numpy as np   
from sklearn import preprocessing 

2. Load the encoding and decoding task operators:

class LabelEncoding(object): 
  # Method to encode labels from words to numbers 
  def encoding_labels(self, label_wordings): 
    self.le = preprocessing.LabelEncoder() 
    self.le.fit(label_wordings) 

3. Implement word-to-number conversion for the input label:

  def word_to_number(self, label_wordings): 
    return int(self.le.transform([label_wordings])[0]) 

4. Convert the input label from a number to word:

  def number_to_word(self, label_number): 
    return self.le.inverse_transform([label_number])[0] 

5. Extract images and labels from the input path:

def getting_images_and_labels(path_input): label_wordings ...