diff --git a/AddMosaic.py b/AddMosaic.py
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diff --git a/CleanMosaic.py b/CleanMosaic.py
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diff --git a/LICENSE b/LICENSE
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diff --git a/README.md b/README.md
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diff --git a/hand.gif b/hand.gif
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diff --git a/models/__init__.py b/models/__init__.py
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diff --git a/models/loadmodel.py b/models/loadmodel.py
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diff --git a/models/pix2pix_model.py b/models/pix2pix_model.py
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diff --git a/models/runmodel.py b/models/runmodel.py
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diff --git a/models/unet_model.py b/models/unet_model.py
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diff --git a/models/unet_parts.py b/models/unet_parts.py
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diff --git a/options/addmosaic_options.py b/options/addmosaic_options.py
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diff --git a/options/cleanmosaic_options.py b/options/cleanmosaic_options.py
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diff --git a/pretrained_models/AddMosaic/put_AddMosaic_model_here b/pretrained_models/AddMosaic/put_AddMosaic_model_here
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diff --git a/pretrained_models/CleanMosaic/put_CleanMosaic_model_here b/pretrained_models/CleanMosaic/put_CleanMosaic_model_here
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diff --git a/result/result_save_here b/result/result_save_here
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diff --git a/util/__init__.py b/util/__init__.py
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diff --git a/util/data.py b/util/data.py
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diff --git a/util/ffmpeg.py b/util/ffmpeg.py
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diff --git a/util/image_processing.py b/util/image_processing.py
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index 2c805e070a94b848f275cb2345db3acc25062130..f44f23585794d8f3ac61c20e7484fd256b8a7246
--- a/util/image_processing.py
+++ b/util/image_processing.py
@@ -107,20 +107,11 @@ def mask_threshold(mask,blur,threshold):
     return mask
 
 def mask_area(mask):
-    contours= cv2.findContours(mask,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)[1]
+    mask = cv2.threshold(mask,127,255,0)[1]
+    # contours= cv2.findContours(mask,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)[1] #for opencv 3.4
+    contours= cv2.findContours(mask,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)[0]#updata to opencv 4.0
     try:
         area = cv2.contourArea(contours[0])
     except:
         area = 0
     return area
-
-# def eclosion_add(img_fg,img_bg,mask,eclosion_num,Type = 'inside'):
-
-#         mask = (cv2.blur(mask, (eclosion, eclosion)))
-#         mask = ch_one2three(mask)
-#         mask = mask/255.0
-
-#         # img_tmp = np.zeros(img_bg.shape, dtype='uint8')
-#         # img_tmp[y-size:y+size,x-size:x+size]=img_fake
-#         img_result = img_origin.copy()
-#         img_result = img_origin*(1-mask)+img_tmp*mask
\ No newline at end of file
diff --git a/util/mosaic.py b/util/mosaic.py
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index 191d73606bdb4d866baf9dd652e3cf1b00595d4f..483c4a7beca6610a0ab16a5c351bc47ace5c60ef
--- a/util/mosaic.py
+++ b/util/mosaic.py
@@ -2,7 +2,7 @@ import cv2
 import numpy as np
 import os
 import random
-from .image_processing import resize,ch_one2three
+from .image_processing import resize,ch_one2three,mask_area
 
 
 def addmosaic(img,mask,n,out_size = 0,model = 'squa_avg'):
@@ -10,7 +10,6 @@ def addmosaic(img,mask,n,out_size = 0,model = 'squa_avg'):
         img = resize(img,out_size)      
     h, w = img.shape[:2]
     mask = cv2.resize(mask,(w,h))
-
     img_mosaic=img.copy()
 
     if model=='squa_avg':
@@ -64,9 +63,8 @@ def random_mosaic(img,mask):
     h,w = img.shape[:2]
     mask = cv2.resize(mask,(w,h))
     #area_avg=5925*4
-    image, contours, hierarchy = cv2.findContours(mask,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
     try:
-        area = cv2.contourArea(contours[0])
+        area = mask_area(mask)
     except:
         area = 0
     if area>50000:
diff --git a/util/util.py b/util/util.py
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diff --git a/video_or_image/put_your_input_data_here b/video_or_image/put_your_input_data_here
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