diff --git a/modules/image/Image_gan/style_transfer/stylepro_artistic/data_feed.py b/modules/image/Image_gan/style_transfer/stylepro_artistic/data_feed.py
index 00cbbe4e928367d3b4cdedaf28ff4858fe811cc7..963b6a78ce083bb2b3ae6fbfb0b700b03f1670ce 100644
--- a/modules/image/Image_gan/style_transfer/stylepro_artistic/data_feed.py
+++ b/modules/image/Image_gan/style_transfer/stylepro_artistic/data_feed.py
@@ -67,10 +67,19 @@ def _handle_single(im_path=None, im_arr=None):
     Returns:
         im (numpy.ndarray): preprocessed data, with shape (1, 3, 512, 512).
     """
+    im = None
     if im_path is not None:
-        im = cv2.imread(im_path)[:, :, ::-1].astype(np.float32)
+        im = cv2.imread(im_path)
+        if im is None:
+            raise FileNotFoundError('Error: The file path "{}"  may not exist or is not a valid image file, please provide a valid path.'.format(im_path))
+        else:
+            assert(len(im.shape) == 3, 'The input image shape should be [H, W, 3], but got {}'.format(im.shape))
+            assert(im.shape[2] == 3,  'The input image should have 3 channels, but got {}'.format(im.shape[2]))
+            im = im[:, :, ::-1].astype(np.float32)    ### Image should have 3-channels, and BGR format is arranged by cv2, we should change it to RGB.
     if im_arr is not None:
         im = im_arr[:, :, ::-1].astype(np.float32)
+    if im is None:
+        raise ValueError('No image data is provided. Please check the input "images" and "paths".')
     w, h = im.shape[1], im.shape[0]
     im = cv2.resize(im, (512, 512), interpolation=cv2.INTER_LINEAR)
     im = im.transpose((2, 0, 1))
diff --git a/modules/image/Image_gan/style_transfer/stylepro_artistic/module.py b/modules/image/Image_gan/style_transfer/stylepro_artistic/module.py
index b6739014d2f92eeabfa99d7993aa44e6dc0e8cf6..00106819387d273e9ec82de2d49791dedef2f508 100644
--- a/modules/image/Image_gan/style_transfer/stylepro_artistic/module.py
+++ b/modules/image/Image_gan/style_transfer/stylepro_artistic/module.py
@@ -22,7 +22,7 @@ from stylepro_artistic.data_feed import reader
 
 @moduleinfo(
     name="stylepro_artistic",
-    version="1.0.1",
+    version="1.0.2",
     type="cv/style_transfer",
     summary="StylePro Artistic is an algorithm for Arbitrary image style, which is parameter-free, fast yet effective.",
     author="baidu-bdl",
diff --git a/modules/image/Image_gan/style_transfer/stylepro_artistic/processor.py b/modules/image/Image_gan/style_transfer/stylepro_artistic/processor.py
index 62af41547cbb505576f6df4815d8a06711e83e0d..7f04b394f6e763503f335c7b75cb86090e94ad1b 100644
--- a/modules/image/Image_gan/style_transfer/stylepro_artistic/processor.py
+++ b/modules/image/Image_gan/style_transfer/stylepro_artistic/processor.py
@@ -40,7 +40,11 @@ def postprocess(im, output_dir, save_im_name, visualization, size):
             os.makedirs(output_dir)
         # save image
         save_path = os.path.join(output_dir, save_im_name)
-        cv2.imwrite(save_path, im)
+        try:
+            cv2.imwrite(save_path, im)
+            print('Notice: an image has been proccessed and saved in path "{}".'.format(os.path.abspath(save_path)))
+        except Exception as e:
+            print('Exception {}: Fail to save output image in path "{}".'.format(e, os.path.abspath(save_path)))
         result['save_path'] = save_path
     return result