Einfügen eines Sliders

Um den Grad der Faarbblindheit korrekt zu Simulieren, muss ein Widget eingebaut werden, welches den prozentualen Anteil der Differenz zwischen Simulation und echtem Wert vergleicht und mit dem ausgewählten Wert (z. B. 80%) neu gewichtet.

Code/Dyschromasie-Applikation.py

@@ -53,7 +53,8 @@ class Protanopie(Dyschromasie):
         # Einzelne Pixelwertberechnung
         for i in range(self.rows):
             for j in range(self.cols):
-                self.cb_image[i, j] = np.flipud(self.T_reversed.dot(self.sim_mat).dot(self.T).dot(np.flipud(self.cb_image[i, j])))
+                self.cb_image[i, j] = np.flipud(
+                    self.T_reversed.dot(self.sim_mat).dot(self.T).dot(np.flipud(self.cb_image[i, j])))
 
         self.sim_image = np.copy(self.cb_image)
         self.sim_image = self.sim_image.astype('uint8')
@@ -83,7 +84,8 @@ class Deuteranopie(Dyschromasie):
         # Einzelne Pixelwertberechnung
         for i in range(self.rows):
             for j in range(self.cols):
-                self.cb_image[i, j] = np.flipud(self.T_reversed.dot(self.sim_mat).dot(self.T).dot(np.flipud(self.cb_image[i, j])))
+                self.cb_image[i, j] = np.flipud(
+                    self.T_reversed.dot(self.sim_mat).dot(self.T).dot(np.flipud(self.cb_image[i, j])))
 
         self.sim_image = np.copy(self.cb_image)
         self.sim_image = self.sim_image.astype('uint8')
@@ -112,7 +114,8 @@ class Tritanopie(Dyschromasie):
         # Einzelne Pixelwertberechnung
         for i in range(self.rows):
             for j in range(self.cols):
-                self.cb_image[i, j] = np.flipud(self.T_reversed.dot(self.sim_mat).dot(self.T).dot(np.flipud(self.cb_image[i, j])))
+                self.cb_image[i, j] = np.flipud(
+                    self.T_reversed.dot(self.sim_mat).dot(self.T).dot(np.flipud(self.cb_image[i, j])))
 
         self.sim_image = np.copy(self.cb_image)
         self.sim_image = self.sim_image.astype('uint8')
@@ -124,6 +127,7 @@ class Tritanopie(Dyschromasie):
                     self.sim_image[i, j, x] = self.reverseGammaCorrection(self.cb_image[i, j, x])
         return self.sim_image
 
+
 root = tk.Tk()
 root.title("Projekt Dyschromasie")
 
@@ -135,6 +139,10 @@ kanaele = 0
 sim_pro = tk.IntVar(root)
 sim_deut = tk.IntVar(root)
 sim_tri = tk.IntVar(root)
+simGrad = tk.IntVar(root)
+
+simulationsGradient = tk.Scale(root, from_=0, to_=100, variable=simGrad, orient='horizontal')
+simulationsGradient.grid(column= 0, row = 1, columnspan=10)
 
 def browse():
     # Auswahl des FilePaths
@@ -200,7 +208,6 @@ def simulate():
         sim_pic_pro.grid(columnspan=5)
 
 
-
 btn = tk.Button(root, text="Browse", width=25, command=browse, bg='light blue')
 btn.grid(column=0, row=0, columnspan=2)
 
@@ -212,8 +219,8 @@ checkButton_p = tk.Checkbutton(root, text="Protanop", variable=sim_pro, onvalue=
 checkButton_d = tk.Checkbutton(root, text="Deutanop", variable=sim_deut, onvalue=1, offvalue=0, height=5, width=20)
 checkButton_t = tk.Checkbutton(root, text="Tritanop", variable=sim_tri, onvalue=1, offvalue=0, height=5, width=20)
 
-checkButton_p.grid(column = 0, row = 1)
+checkButton_p.grid(column=0, row=2)
-checkButton_d.grid(column = 1, row = 1)
+checkButton_d.grid(column=1, row=2)
-checkButton_t.grid(column = 2, row = 1)
+checkButton_t.grid(column=2, row=2)
 
 root.mainloop()