Class RandomAffine

Inheritance Relationships

Base Type

Class Documentation

class RandomAffine : public mindspore::dataset::TensorTransform

Apply a Random Affine transformation on the input image in RGB or Greyscale mode.

Public Functions

explicit RandomAffine(const std::vector<float_t> &degrees, const std::vector<float_t> &translate_range = {0.0, 0.0, 0.0, 0.0}, const std::vector<float_t> &scale_range = {1.0, 1.0}, const std::vector<float_t> &shear_ranges = {0.0, 0.0, 0.0, 0.0}, InterpolationMode interpolation = InterpolationMode::kNearestNeighbour, const std::vector<uint8_t> &fill_value = {0, 0, 0})

Constructor.

Parameters

  • degrees – [in] A float vector of size 2, representing the starting and ending degree.

  • translate_range – [in] A float vector of size 2 or 4, representing percentages of translation on x and y axes. If the size is 2, (min_dx, max_dx, 0, 0). If the size is 4, (min_dx, max_dx, min_dy, max_dy), all values are in range [-1, 1].

  • scale_range – [in] A float vector of size 2, representing the starting and ending scales in the range.

  • shear_ranges – [in] A float vector of size 2 or 4, representing the starting and ending shear degrees vertically and horizontally. If the size is 2, (min_shear_x, max_shear_x, 0, 0), if the size is 4, (min_shear_x, max_shear_x, min_shear_y, max_shear_y).

  • interpolation – [in] An enum for the mode of interpolation.

    • InterpolationMode::kLinear, Interpolation method is blinear interpolation (Only supports this mode in Lite).

    • InterpolationMode::kNearestNeighbour, Interpolation method is nearest-neighbor interpolation.

    • InterpolationMode::kCubic, Interpolation method is bicubic interpolation.

    • InterpolationMode::kArea, Interpolation method is pixel area interpolation.

  • 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 and B channels respectively.

Example
/* Define operations */
auto decode_op = vision::Decode();
auto random_op = vision::RandomAffine({45, 90});

/* dataset is an instance of Dataset object */
dataset = dataset->Map({decode_op, random_op},  // operations
                       {"image"});              // input columns
~RandomAffine() = default

Destructor.

virtual std::shared_ptr<TensorOperation> Parse() override

The function to convert a TensorTransform object into a TensorOperation object.

Returns

Shared pointer to TensorOperation object.