From 48452bdf222df8d78124c5fdc054618503dda044 Mon Sep 17 00:00:00 2001
From: Artem Oppermann <artem.oppermann@uni-oldenburg.de>
Date: Wed, 16 May 2018 16:50:41 +0200
Subject: [PATCH] final version

---
 model v2/__pycache__/data_gen.cpython-36.pyc | Bin 2008 -> 1983 bytes
 model v2/data_gen.py                         |  59 +++++++++++++++++++
 2 files changed, 59 insertions(+)

diff --git a/model v2/__pycache__/data_gen.cpython-36.pyc b/model v2/__pycache__/data_gen.cpython-36.pyc
index e69bb2c8ae8676c419b4ec97a47500569461c71b..f85757bf60605263e745f0701f7421591434909e 100644
GIT binary patch
delta 227
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z(9Gn*5F1d-T*I8gF2+#HQo@wQT*FwyBFT`&(#+7zSj!3&VXa|J;Yi_3XKH4uWdrJF
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wC(dz;GcUe4F}ENmwfGiSQEGBYVqSVq>SQ+dU|t!ZVg@E2Mi3O5oW-680LYXwfB*mh

delta 243
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z^W<4<4)UD0xQbGfOA_<ab5e_=I6>_Al*E$6TWmRrNvS!LKe7c2DgbpcF!3;gpb#Sq
KBg^DK_B;R?dN|Yo

diff --git a/model v2/data_gen.py b/model v2/data_gen.py
index e69de29..abd82ec 100644
--- a/model v2/data_gen.py	
+++ b/model v2/data_gen.py	
@@ -0,0 +1,59 @@
+import numpy as np
+import random
+
+csv_path='./data.txt'
+
+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(n_samples):
+    
+    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),}
+    data=[]
+    
+    for i in range(0,n_samples):
+        label=i%4
+        rect=np.array(rectangles[label].add_noise())
+        rect_reshaped=np.reshape(rect,[1,100])
+        
+        data_sample=[]
+        data_sample.append(rect_reshaped)
+        data_sample.append(label)
+        data.append(data_sample)
+        
+    return data
+    
+
-- 
2.21.0