Update app.py

app.py

@@ -183,6 +183,7 @@ def blur_im(img,bounds,target_lang,trans_lang):
     im = cv2.imread(img)
     im = cv2.cvtColor(im, cv2.COLOR_BGR2RGB)
     for bound in bounds:
+        
         p0, p1, p2, p3 = bound[0]
         x = int(p0[0])
         y = int(p0[1])
@@ -191,21 +192,21 @@ def blur_im(img,bounds,target_lang,trans_lang):
         kernel = np.ones((3, 3), np.uint8)
         im[y:y+h, x:x+w] = cv2.dilate(im[y:y+h, x:x+w], kernel, iterations=3)
         im[y:y+h, x:x+w] = cv2.GaussianBlur(im[y:y+h, x:x+w],(51,51),0)
-        
-        
-
     im = Image.fromarray(im)
     for bound in bounds:
-        p0, p1, p2, p3 = bound[0]
-        x = int(p0[0])
-        y = int(p0[1])
-        w = int(p2[0]) - int(x)
-        h = int(p2[1]) - int(y)
-        draw = ImageDraw.Draw(im)
-        font_size=int(int(w)*0.2)
-        font = ImageFont.truetype("./fonts/unifont-15.0.01.ttf", int(font_size))
-        text = this(bound[1],target_lang,trans_lang)
-        draw.text((x, y),text, font = font, fill=(0,0,0))
+        if bound[2]>=0.3:
+            p0, p1, p2, p3 = bound[0]
+            x = int(p0[0])
+            y = int(p0[1])
+            w = int(p2[0]) - int(x)
+            h = int(p2[1]) - int(y)
+            draw = ImageDraw.Draw(im)
+            font_size=int(int(w)*0.15)
+            font = ImageFont.truetype("./fonts/unifont-15.0.01.ttf", int(font_size))
+            text = this(bound[1],target_lang,trans_lang)
+            draw.text((x, y),text, font = font, fill=(0,0,0))
+        else:
+            pass
     return im
     
 def draw_boxes(image, bounds, color='blue', width=1):