Class RandomRotation
Defined in File vision.h
Inheritance Relationships
Base Type
public mindspore::dataset::TensorTransform
(Class TensorTransform)
Class Documentation
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class RandomRotation : public mindspore::dataset::TensorTransform
Rotate the image according to parameters.
Public Functions
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RandomRotation(std::vector<float> degrees, InterpolationMode resample = InterpolationMode::kNearestNeighbour, bool expand = false, std::vector<float> center = {}, std::vector<uint8_t> fill_value = {0, 0, 0})
Constructor.
- Parameters
degrees – [in] A float vector of size 2, representing the starting and ending degrees.
resample – [in] An enum for the mode of interpolation.
InterpolationMode::kLinear, Interpolation method is linear interpolation.
InterpolationMode::kNearestNeighbour, Interpolation method is nearest-neighbor interpolation.
InterpolationMode::kCubic, Interpolation method is bicubic interpolation.
InterpolationMode::kArea, Interpolation method is pixel area interpolation.
InterpolationMode::kCubicPil, Interpolation method is bicubic interpolation like implemented in pillow.
expand – [in] A boolean representing whether the image is expanded after rotation.
center – [in] A float vector of size 2 or empty, representing the x and y center of rotation or the center of the image.
fill_value – [in] A vector representing the value to fill the area outside the transform in the output image. If 1 value is provided, it is used for all RGB channels. If 3 values are provided, it is used to fill R, G, B channels respectively.
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~RandomRotation() = default
Destructor.
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RandomRotation(std::vector<float> degrees, InterpolationMode resample = InterpolationMode::kNearestNeighbour, bool expand = false, std::vector<float> center = {}, std::vector<uint8_t> fill_value = {0, 0, 0})