lkubin commented on a change in pull request #16794: Random rotation
URL: https://github.com/apache/incubator-mxnet/pull/16794#discussion_r370520654
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File path: python/mxnet/gluon/data/vision/transforms.py
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@@ -197,6 +199,78 @@ def hybrid_forward(self, F, x):
return F.image.normalize(x, self._mean, self._std)
+class Rotate(Block):
+ """Rotate the input image by a given angle. Keeps the original image shape.
+
+ Parameters
+ ----------
+ rotation_degrees : float32
+ Desired rotation angle in degrees, in range (-90, 90).
+ zoom_in : bool
+ Zoom in image so that no padding is present in final output.
+ zoom_out : bool
+ Zoom out image so that the entire original image is present in final
output.
+
+
+ Inputs:
+ - **data**: input tensor with (C x H x W) or (N x C x H x W) shape.
+
+ Outputs:
+ - **out**: output tensor with (C x H x W) or (N x C x H x W) shape.
+ """
+ def __init__(self, rotation_degrees, zoom_in=False, zoom_out=False):
+ super(Rotate, self).__init__()
+ if (rotation_degrees < -90 or rotation_degrees > 90):
+ raise ValueError("Rotation angle should be between -90 and 90
degrees")
Review comment:
With the change that @douglas125 did there is not that kind of problem
anymore.
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