Removed unnecessary filter parameters.

src/filters.py

@@ -10,15 +10,13 @@ import cv2 as cv
 
 # Parent class for all the filters
 class filter:
-    def __init__(self, input_file, output_file, img):
-        self.input_file = input_file
-        self.output_file = output_file
+    def __init__(self, img):
         self.img = img
-
+        
 
 class average(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         kernel = np.ones((3, 3), np.float32) / 9
@@ -26,51 +24,52 @@ class average(filter):
 
 
 class blur(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         self.img = cv.blur(self.img, (3, 3))
 
 
 class gaussian(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         self.img = cv.GaussianBlur(self.img, (3, 3), 0)
 
 
 class median(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         self.img = cv.medianBlur(self.img, 1)
 
 
 class bilateral(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         self.img = cv.bilateralFilter(self.img, 1, 75, 75)
 
 
 class denoise(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         pass
         #does not work
-        #img = cv.cvtColor(self.img, cv.COLOR_GRAY2BGR)
-        #self.img = cv.fastNlMeansDenoisingColored(img, h=3)
+        self.img = np.uint8(self.img)
+        self.img = cv.fastNlMeansDenoising(
+            self.img, h=10, searchWindowSize=21, templateWindowSize=7)
 
 
 class sharpen(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]])
@@ -78,8 +77,8 @@ class sharpen(filter):
 
 
 class erode(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         kernel = np.ones((3, 3), np.uint8)
@@ -87,8 +86,8 @@ class erode(filter):
 
 
 class dilate(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         kernel = np.ones((3, 3), np.uint8)
@@ -97,8 +96,8 @@ class dilate(filter):
 
 # Erosion, then dilatation
 class opening(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         kernel = cv.getStructuringElement(cv.MORPH_RECT, (3, 3))
@@ -107,8 +106,8 @@ class opening(filter):
 
 # Dilatation, then erosion
 class closing(filter):
-    def __init__(self, input_file, output_file, img):
-        super().__init__(input_file, output_file, img)
+    def __init__(self, img):
+        super().__init__(img)
 
     def apply(self):
         kernel = cv.getStructuringElement(cv.MORPH_RECT, (3, 3))