Update app.py

app.py

@@ -465,45 +465,45 @@ def draw_mask(o, b, v, d, evt: gr.EventData):
 
 
 def read_file(sn,tn):
-	s = cv2.imread(sn)
-	s = cv2.cvtColor(s,cv2.COLOR_BGRA2LAB)
-	t = cv2.imread(tn)
-	t = cv2.cvtColor(t,cv2.COLOR_BGRA2LAB)
-	return s, t
+    s = cv2.imread(sn)
+    s = cv2.cvtColor(s,cv2.COLOR_BGRA2LAB)
+    t = cv2.imread(tn)
+    t = cv2.cvtColor(t,cv2.COLOR_BGRA2LAB)
+    return s, t
 
 def get_mean_and_std(x):
-	x_mean, x_std = cv2.meanStdDev(x)
-	x_mean = np.hstack(np.around(x_mean,2))
-	x_std = np.hstack(np.around(x_std,2))
-	return x_mean, x_std
+    x_mean, x_std = cv2.meanStdDev(x)
+    x_mean = np.hstack(np.around(x_mean,2))
+    x_std = np.hstack(np.around(x_std,2))
+    return x_mean, x_std
 
 def color_transfer(base):
   global frames
   targets = []
 
   for n in range(len(frames)):
-	targets.append(frames[base])
-	if n != base:
-		print("Converting picture "+str(n)+"...")
-		s, t = read_file(frames[n],targets[n])
-		s_mean, s_std = get_mean_and_std(s)
-		t_mean, t_std = get_mean_and_std(t)
-
-		height, width, channel = s.shape
-		for i in range(0,height):
-			for j in range(0,width):
-				for k in range(0,channel):
-					x = s[i,j,k]
-					x = ((x-s_mean[k])*(t_std[k]/s_std[k]))+t_mean[k]
-					# round or +0.5
-					x = round(x)
-					# boundary check
-					x = 0 if x<0 else x
-					x = 255 if x>255 else x
-					s[i,j,k] = x
-
-		s = cv2.cvtColor(s,cv2.COLOR_LAB2BGRA)
-		cv2.imwrite(frames[n],s)
+    targets.append(frames[base])
+    if n != base:
+        print("Converting picture "+str(n)+"...")
+        s, t = read_file(frames[n],targets[n])
+        s_mean, s_std = get_mean_and_std(s)
+        t_mean, t_std = get_mean_and_std(t)
+
+        height, width, channel = s.shape
+        for i in range(0,height):
+            for j in range(0,width):
+                for k in range(0,channel):
+                    x = s[i,j,k]
+                    x = ((x-s_mean[k])*(t_std[k]/s_std[k]))+t_mean[k]
+                    # round or +0.5
+                    x = round(x)
+                    # boundary check
+                    x = 0 if x<0 else x
+                    x = 255 if x>255 else x
+                    s[i,j,k] = x
+
+        s = cv2.cvtColor(s,cv2.COLOR_LAB2BGRA)
+        cv2.imwrite(frames[n],s)
         
 
 js = """