diff --git a/multiTout.py b/multiTout.py
index 4066536..b25ccc0 100644
--- a/multiTout.py
+++ b/multiTout.py
@@ -10,15 +10,9 @@ maskImg = read("./dog/cow_mask.bmp")
 img = img.copy()
 
 height, width = img.shape[:2]
-mask = np.zeros((height,width),dtype=bool)
-for y in range(height):
-    for x in range(width):
-        mask[y,x] = maskImg[y,x] == 255
 
-for y in range(height):
-    for x in range(width):
-        if mask[y,x]:
-            img[y,x] = (255,0,0)
+mask = maskImg == 255
+img[mask] = (255,0,0)
 
 plt.imshow(mask)
 plt.show()
diff --git a/nnf.py b/nnf.py
index dad59a6..509c116 100644
--- a/nnf.py
+++ b/nnf.py
@@ -9,7 +9,6 @@ class Nnf:
         self.patchSize = patchSize
 
     def randomize(self):
-        
         self.field = np.zeros((self.input.height, self.input.width, 3), dtype=int)
         self.field[:,:,2] += MaskedImage.DSCALE
         self.field[:,:,0] = np.random.randint(0,self.output.width,self.input.width)
diff --git a/selection.py b/selection.py
new file mode 100644
index 0000000..5191155
--- /dev/null
+++ b/selection.py
@@ -0,0 +1,48 @@
+from matplotlib.widgets import RectangleSelector
+import matplotlib.pyplot as plt
+from function import *
+import numpy as np
+
+def onselect(eclick, erelease):
+    x1, y1 = int(eclick.xdata), int(eclick.ydata)
+    x2, y2 = int(erelease.xdata), int(erelease.ydata)
+    img[y1:y2,x1:x2] = (255,0,0)
+    mask[y1:y2,x1:x2] = True
+    ax.imshow(img)
+    plt.draw()
+
+
+
+img = read(input("lien relatif de l'image: "))
+img = img.copy()
+
+rep = input("avez vous le mask de l'image ?(y:n)")
+yes = ["y","Y","yes","YES","Yes","o","O","oui","OUI"]
+height, width = img.shape[:2]
+if (rep in yes):
+    maskImg = read(input("lien relatife de l'image: "))
+    mask = maskImg == 255
+    img[mask] = (255,0,0)
+else:
+    fig, ax = plt.subplots()
+    ax.imshow(img)
+    mask = np.zeros((height, width), dtype=bool)
+    toggle_selector = RectangleSelector(ax, onselect,  useblit=True,
+                                        button=[1], minspanx=5, minspany=5, spancoords='pixels',
+                                        interactive=True)
+    plt.imshow(img)
+    plt.show()
+
+plt.ion()
+plt.axis("off")
+
+plt.imshow(mask)
+plt.show()
+plt.title("mask de l'image")
+plt.pause(1)
+plt.title("génération de l'image")
+
+img = doTheInpainting(img,mask,2)
+plt.imshow(img)
+plt.title("image final")
+plt.pause(20)