vandanavk commented on a change in pull request #13357: Add imresize and
copyMakeBorder to mx.image
URL: https://github.com/apache/incubator-mxnet/pull/13357#discussion_r237679110
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File path: python/mxnet/image/image.py
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@@ -85,10 +83,67 @@ def imread(filename, *args, **kwargs):
return _internal._cvimread(filename, *args, **kwargs)
+def imresize(src, w, h, *args, **kwargs):
+ r"""Resize image with OpenCV.
+
+ .. note:: `imresize` uses OpenCV (not the CV2 Python library). MXNet must
have been built
+ with USE_OPENCV=1 for `imresize` to work.
+
+ Parameters
+ ----------
+ src : NDArray
+ source image
+ w : int, required
+ Width of resized image.
+ h : int, required
+ Height of resized image.
+ 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.
+
+ Returns
+ -------
+ out : NDArray or list of NDArrays
+ The output of this function.
+
+ Example
Review comment:
nit: Examples
This may give a make docs error
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