Class Resize
- Defined in File vision_lite.h 
Inheritance Relationships
Base Type
- public mindspore::dataset::TensorTransform(Class TensorTransform)
Class Documentation
- 
class Resize : public mindspore::dataset::TensorTransform
- Resize the input image to the given size. - Public Functions - 
explicit Resize(const std::vector<int32_t> &size, InterpolationMode interpolation = InterpolationMode::kLinear)
- Constructor. - 参数
- size – [in] A vector representing the output size of the resized image. If the size is a single value, the image will be resized to this value with the same image aspect ratio. If the size has 2 values, it should be (height, width). 
- 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. 
- InterpolationMode::kCubicPil, Interpolation method is bicubic interpolation like implemented in pillow. 
 
 样例
- /* Define operations */ auto decode_op = vision::Decode(); auto resize_op = vision::Resize({224, 224}, InterpolationMode::kLinear); /* dataset is an instance of Dataset object */ dataset = dataset->Map({decode_op, resize_op}, // operations {"image"}); // input columns 
 
 - 
~Resize() override = default
- Destructor. 
 
- 
explicit Resize(const std::vector<int32_t> &size, InterpolationMode interpolation = InterpolationMode::kLinear)