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

         # 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')
         # 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')
         # 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')
                     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")
 
 cols = 0
 kanaele = 0
 
-sim_pro     = tk.IntVar(root)
-sim_deut    = tk.IntVar(root)
-sim_tri     = tk.IntVar(root)
+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
         d = Deuteranopie(img, rows, cols, kanaele)
         display_array_deut = cv2.cvtColor(np.copy(d.Simulate()), cv2.COLOR_BGR2RGB)
 
-        T = tk.Text(root,height=1,width=15)
+        T = tk.Text(root, height=1, width=15)
         T.grid(columnspan=5)
-        T.insert('current',"Deutranopie:")
+        T.insert('current', "Deutranopie:")
 
         conv_SimulationPic_deut = ImageTk.PhotoImage(image=PIL.Image.fromarray(display_array_deut))
         sim_pic_deut = tk.Label(root, image=conv_SimulationPic_deut)
         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)
+btn.grid(column=0, row=0, columnspan=2)
 
 simulateButton = tk.Button(root, text="Simulate", width=25, command=simulate, bg='light blue')
-simulateButton.grid(column = 1, row = 0,columnspan=2)
+simulateButton.grid(column=1, row=0, columnspan=2)
 simulateButton.config(state='disabled')
 
 checkButton_p = tk.Checkbutton(root, text="Protanop", variable=sim_pro, onvalue=1, offvalue=0, height=5, width=20)
 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_d.grid(column = 1, row = 1)
-checkButton_t.grid(column = 2, row = 1)
+checkButton_p.grid(column=0, row=2)
+checkButton_d.grid(column=1, row=2)
+checkButton_t.grid(column=2, row=2)
 
 root.mainloop()