src/suite.py

@@ -92,32 +92,7 @@ class MainApp:
             self.axs[column, row].plot(hist, label=lab)
             self.axs[column, row].grid()
             self.axs[column, row].legend()
-            
-    def drawCannyHM(self, img, column, row):
-        self.axs[column, row].clear()
-        canny_max = 500
-        canny_step = 20
 
-        results = [[] for x in range((int)(canny_max / canny_step))]
-
-        for th1 in range(0, canny_max, canny_step):
-            for th2 in range(0, canny_max, canny_step):
-                # Canny Edge Detection
-                edges = cv2.Canny(image=img, threshold1=th1, threshold2=th2)
-                
-                w_res = cv2.countNonZero(edges)
-                y_ind = (int)(th1 / canny_step)
-                x_ind = (int)(th2 / canny_step)
-                
-                results[y_ind].append(w_res)
-                
-                # print(f"Result at thres {th1}, {th2}; \tIndex {y_ind}, {x_ind} \t= {w_res}")
-                # print(results[y_ind])
-        
-        self.axs[column, row].imshow(results)
-        self.axs[column, row].xaxis.set_major_formatter(lambda x, pos: str(x*canny_step))
-        self.axs[column, row].yaxis.set_major_formatter(lambda x, pos: str(x*canny_step))
-    
     def update(self, event=None):
         path = self.img_path.get()
         print(path)
@@ -136,7 +111,10 @@ class MainApp:
                 
             # Get all user vars
             ct1 = self.canny_thr1.get()
-            ct2 = self.canny_thr2.get()            
+            ct2 = self.canny_thr2.get()
+            
+            print(f"canny 1: {ct1}, canny2: {ct2}")
+            
             br = self.blur_rate.get()
             sxy = self.sobel_select.get()
             size = self.img_size.get()
@@ -203,9 +181,7 @@ class MainApp:
             output.append(img_hsv[:, :, 2]) # V
             if img_hsv is not None:
                 self.drawHist(img_hsv, ('H', 'S', 'V'), 0, 1)
-            
+
-            self.drawCannyHM(img, 1, 1)
-                
             plt.show(block=False)
             
             # Draw all output images