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Fix inconsistent interpolation method values #16212

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Sep 22, 2019
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Fix inconsistent interpolation method values #16212

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12 changes: 6 additions & 6 deletions python/mxnet/image/image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -309,11 +309,11 @@ def _get_interp_method(interp, sizes=()):
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
2: Bicubic interpolation over 4x4 pixel neighborhood.
3: 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.
Expand Down Expand Up @@ -372,11 +372,11 @@ def resize_short(src, size, interp=2):
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
2: Bicubic interpolation over 4x4 pixel neighborhood.
3: 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.
Expand Down Expand Up @@ -1062,11 +1062,11 @@ def CreateAugmenter(data_shape, resize=0, rand_crop=False, rand_resize=False, ra
Possible values:
0: Nearest Neighbors Interpolation.
1: Bilinear interpolation.
2: Area-based (resampling using pixel area relation). It may be a
2: Bicubic interpolation over 4x4 pixel neighborhood.
3: 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.
Expand Down