Ex1 S3 found his daddy

Serie3/Ex1.py

@@ -23,9 +23,8 @@ def show_img(img: Img) -> None:
 
 def xcorr(img: Img, kernel: Img) -> Img:
     kLen = int(kernel.shape[0]/2)
-    yMax = img.shape[0]
-    xMax = img.shape[1]
-    print(yMax)
+    xMax = img.shape[0]
+    yMax = img.shape[1]
     xcorrRes = np.zeros((img.shape[0],img.shape[1]))
     iteNp = np.nditer(img,flags=["multi_index"])
     while not iteNp.finished :
@@ -41,19 +40,18 @@ def xcorr(img: Img, kernel: Img) -> Img:
             for xK in range(kernel.shape[0]):
                 for yK in range(kernel.shape[1]):
                     if xCorner + xK >= xMax or xCorner + xK < 0 or yCorner + yK < 0 or yCorner + yK >= yMax  :
-                        regToApply[xK,yK] = 120
+                        regToApply[xK,yK] = 123
                     else:
-                        print(str(xCorner + xK) + " | " + str(yCorner + yK))
                         regToApply[xK,yK] = img[xCorner + xK, yCorner + yK]
         xcorrRes[x,y] = np.sum(np.multiply(regToApply,kernel))
         iteNp.iternext()
     return xcorrRes
-#fog, axe = plt.subplots(2)
+fog, axe = plt.subplots(2)
 imgToModify = load_img("lena.png")
-#axe[0].imshow(imgToModify,cmap="gray",vmin=0,vmax=256)
+axe[0].imshow(imgToModify,cmap="gray",vmin=0,vmax=256)
 kern = np.zeros((3,3),dtype=np.uint8)
 kern[0,1] = 1
 imgRes = xcorr(imgToModify, kern)
-#axe[1].imshow(imgRes,cmap="gray",vmin=0,vmax=256)
-#plt.show()
+axe[1].imshow(imgRes,cmap="gray",vmin=0,vmax=256)
+plt.show()
 #show_img(imgRes)
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