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Fix #8340: Remove incorrect minus sign in rotate_range documentation #8773

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Fix #8340: Remove incorrect minus sign in rotate_range documentation #8773

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8 changes: 4 additions & 4 deletions monai/transforms/spatial/array.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1848,7 +1848,7 @@ def __init__(
"""
Args:
rotate_range: angle range in radians. If element `i` is a pair of (min, max) values, then
`uniform[-rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
`uniform[rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
for the `i`th spatial dimension. If not, `uniform[-rotate_range[i], rotate_range[i])` will be used.
This can be altered on a per-dimension basis. E.g., `((0,3), 1, ...)`: for dim0, rotation will be
in range `[0, 3]`, and for dim1 `[-1, 1]` will be used. Setting a single value will use `[-x, x]`
Expand Down Expand Up @@ -2386,7 +2386,7 @@ def __init__(
prob: probability of returning a randomized affine grid.
defaults to 0.1, with 10% chance returns a randomized grid.
rotate_range: angle range in radians. If element `i` is a pair of (min, max) values, then
`uniform[-rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
`uniform[rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
for the `i`th spatial dimension. If not, `uniform[-rotate_range[i], rotate_range[i])` will be used.
This can be altered on a per-dimension basis. E.g., `((0,3), 1, ...)`: for dim0, rotation will be
in range `[0, 3]`, and for dim1 `[-1, 1]` will be used. Setting a single value will use `[-x, x]`
Expand Down Expand Up @@ -2656,7 +2656,7 @@ def __init__(
defaults to 0.1, with 10% chance returns a randomized elastic transform,
otherwise returns a ``spatial_size`` centered area extracted from the input image.
rotate_range: angle range in radians. If element `i` is a pair of (min, max) values, then
`uniform[-rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
`uniform[rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
for the `i`th spatial dimension. If not, `uniform[-rotate_range[i], rotate_range[i])` will be used.
This can be altered on a per-dimension basis. E.g., `((0,3), 1, ...)`: for dim0, rotation will be
in range `[0, 3]`, and for dim1 `[-1, 1]` will be used. Setting a single value will use `[-x, x]`
Expand Down Expand Up @@ -2824,7 +2824,7 @@ def __init__(
defaults to 0.1, with 10% chance returns a randomized elastic transform,
otherwise returns a ``spatial_size`` centered area extracted from the input image.
rotate_range: angle range in radians. If element `i` is a pair of (min, max) values, then
`uniform[-rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
`uniform[rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
for the `i`th spatial dimension. If not, `uniform[-rotate_range[i], rotate_range[i])` will be used.
This can be altered on a per-dimension basis. E.g., `((0,3), 1, ...)`: for dim0, rotation will be
in range `[0, 3]`, and for dim1 `[-1, 1]` will be used. Setting a single value will use `[-x, x]`
Expand Down
6 changes: 3 additions & 3 deletions monai/transforms/spatial/dictionary.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1061,7 +1061,7 @@ def __init__(
prob: probability of returning a randomized affine grid.
defaults to 0.1, with 10% chance returns a randomized grid.
rotate_range: angle range in radians. If element `i` is a pair of (min, max) values, then
`uniform[-rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
`uniform[rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
for the `i`th spatial dimension. If not, `uniform[-rotate_range[i], rotate_range[i])` will be used.
This can be altered on a per-dimension basis. E.g., `((0,3), 1, ...)`: for dim0, rotation will be
in range `[0, 3]`, and for dim1 `[-1, 1]` will be used. Setting a single value will use `[-x, x]`
Expand Down Expand Up @@ -1246,7 +1246,7 @@ def __init__(
defaults to 0.1, with 10% chance returns a randomized grid,
otherwise returns a ``spatial_size`` centered area extracted from the input image.
rotate_range: angle range in radians. If element `i` is a pair of (min, max) values, then
`uniform[-rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
`uniform[rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
for the `i`th spatial dimension. If not, `uniform[-rotate_range[i], rotate_range[i])` will be used.
This can be altered on a per-dimension basis. E.g., `((0,3), 1, ...)`: for dim0, rotation will be
in range `[0, 3]`, and for dim1 `[-1, 1]` will be used. Setting a single value will use `[-x, x]`
Expand Down Expand Up @@ -1396,7 +1396,7 @@ def __init__(
defaults to 0.1, with 10% chance returns a randomized grid,
otherwise returns a ``spatial_size`` centered area extracted from the input image.
rotate_range: angle range in radians. If element `i` is a pair of (min, max) values, then
`uniform[-rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
`uniform[rotate_range[i][0], rotate_range[i][1])` will be used to generate the rotation parameter
for the `i`th spatial dimension. If not, `uniform[-rotate_range[i], rotate_range[i])` will be used.
This can be altered on a per-dimension basis. E.g., `((0,3), 1, ...)`: for dim0, rotation will be
in range `[0, 3]`, and for dim1 `[-1, 1]` will be used. Setting a single value will use `[-x, x]`
Expand Down
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