data_gen.py 1.49 KB
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import numpy as np

class Rectangle:
    
    def __init__(self, x, y, width, height):
        
        self.x=x
        self.y=y
        self.width=width
        self.height=height
        self.matrix_size=10
        self.matrix=self._init_zeros_matrix()
        self.fill()
        
    def _init_zeros_matrix(self):
       return np.zeros(shape=(self.matrix_size, self.matrix_size), dtype=np.float32)
     
    def add_noise(self):
        
        new_matrix=np.zeros(shape=(self.matrix_size, self.matrix_size), dtype=np.float32)
        
        for i in range(10):
            for j in range(10):
                new_matrix[i][j]+=self.matrix[i][j]+np.random.poisson(lam=2.0)
        return new_matrix
        
    def fill(self):
        
        for i in range(self.width):
            for j in range(self.height):
                self.matrix[self.x+i][self.y+j]=10.0
                           
    def get_matrix(self):
        return self.matrix
     
   
  
def gen_data():
    
    rectangles={0:Rectangle(0,0,2,2),
                1:Rectangle(3,3,2,2),
                2:Rectangle(5,5,2,2),
                3:Rectangle(7,7,2,2),}
    rect_data=[]
    labels=[]
    
    for i in range(0,10):
        label=i%4
        rect=np.array(rectangles[label].add_noise())
        rect_reshaped= np.reshape(rect,[1,100])
        rect_data.append(rect_reshaped)
        labels.append(label)
    return rect_data, labels
    
rect_data, labels=gen_data()