address comments

python/mxnet/image/image.py

@@ -87,8 +87,8 @@ def imread(filename, *args, **kwargs):
 def imresize(src, w, h, interp):
     r"""Resize image with OpenCV.
 
-    Note: `imread` uses OpenCV (not the CV2 Python library).
-    MXNet must have been built with USE_OPENCV=1 for `imdecode` to work.
+    .. note:: `imresize` uses OpenCV (not the CV2 Python library). MXNet must have been built
+    with USE_OPENCV=1 for `imresize` to work.
 
     Parameters
     ----------
@@ -98,8 +98,25 @@ def imresize(src, w, h, interp):
         Width of resized image.
     h : int, required
         Height of resized image.
-    interp : int, optional, default='1'
+    interp : int, optional, default=1
         Interpolation method (default=cv2.INTER_LINEAR).
+        Possible values:
+        0: Nearest Neighbors Interpolation.
+        1: Bilinear interpolation.
+        2: Area-based (resampling using pixel area relation). It may be a
+        preferred method for image decimation, as it gives moire-free
+        results. But when the image is zoomed, it is similar to the Nearest
+        Neighbors method. (used by default).
+        3: Bicubic interpolation over 4x4 pixel neighborhood.
+        4: Lanczos interpolation over 8x8 pixel neighborhood.
+        9: Cubic for enlarge, area for shrink, bilinear for others
+        10: Random select from interpolation method metioned above.
+        Note:
+        When shrinking an image, it will generally look best with AREA-based
+        interpolation, whereas, when enlarging an image, it will generally look best
+        with Bicubic (slow) or Bilinear (faster but still looks OK).
+        More details can be found in the documentation of OpenCV, please refer to
+        http://docs.opencv.org/master/da/d54/group__imgproc__transform.html.
 
     out : NDArray, optional
         The output NDArray to hold the result.

tests/python/unittest/test_image.py

@@ -84,7 +84,7 @@ def test_imdecode(self):
         try:
             import cv2
         except ImportError:
-            return
+            raise unittest.SkipTest("Unable to import cv2.")
         for img in TestImage.IMAGES:
             with open(img, 'rb') as fp:
                 str_image = fp.read()
@@ -97,11 +97,12 @@ def test_scale_down(self):
         assert mx.image.scale_down((360, 1000), (480, 500)) == (360, 375)
         assert mx.image.scale_down((300, 400), (0, 0)) == (0, 0)
 
+    @with_seed()
     def test_resize_short(self):
         try:
             import cv2
         except ImportError:
-            return
+            raise unittest.SkipTest("Unable to import cv2")
         for img in TestImage.IMAGES:
             cv_img = cv2.imread(img)
             mx_img = mx.nd.array(cv_img[:, :, (2, 1, 0)])
@@ -118,11 +119,12 @@ def test_resize_short(self):
                     mx_resized = mx.image.resize_short(mx_img, new_size, interp)
                     assert_almost_equal(mx_resized.asnumpy()[:, :, (2, 1, 0)], cv_resized, atol=3)
 
+    @with_seed()
     def test_imresize(self):
         try:
             import cv2
         except ImportError:
-            return
+            raise unittest.SkipTest("Unable to import cv2")
         for img in TestImage.IMAGES:
             cv_img = cv2.imread(img)
             mx_img = mx.nd.array(cv_img[:, :, (2, 1, 0)])