Class RandomApply
- Defined in File transforms.h 
Inheritance Relationships
Base Type
- public mindspore::dataset::TensorTransform(Class TensorTransform)
Class Documentation
- 
class RandomApply : public mindspore::dataset::TensorTransform
- Randomly perform a series of transforms with a given probability. - Public Functions - 
explicit RandomApply(const std::vector<TensorTransform*> &transforms, double prob = 0.5)
- Constructor. - 参数
- transforms – [in] A vector of raw pointers to TensorTransform objects to be applied. 
- prob – [in] The probability to apply the transformation list (default=0.5). 
 样例
- /* Define operations */ auto resize_op(new vision::Resize({30, 30})); auto center_crop_op(new vision::CenterCrop({16, 16})); auto random_op(new transforms::RandomApply({resize_op, center_crop_op})); /* dataset is an instance of Dataset object */ dataset = dataset->Map({random_op}, // operations {"image"}); // input columns 
 
 - Constructor. - 参数
- transforms – [in] A vector of shared pointers to TensorTransform objects to be applied. 
- prob – [in] The probability to apply the transformation list (default=0.5). 
 样例
- /* Define operations */ std::shared_ptr<TensorTransform> resize_op(new vision::Resize({30, 30})); std::shared_ptr<TensorTransform> center_crop_op(new vision::CenterCrop({16, 16})); std::shared_ptr<TensorTransform> random_op(new transforms::RandomApply({resize_op, center_crop_op})); /* dataset is an instance of Dataset object */ dataset = dataset->Map({random_op}, // operations {"image"}); // input columns 
 
 - 
explicit RandomApply(const std::vector<std::reference_wrapper<TensorTransform>> &transforms, double prob = 0.5)
- Constructor. - 参数
- transforms – [in] A vector of TensorTransform objects to be applied. 
- prob – [in] The probability to apply the transformation list (default=0.5). 
 样例
- /* Define operations */ vision::Resize resize_op = vision::Resize({30, 30}); vision::CenterCrop center_crop_op = vision::CenterCrop({16, 16}); transforms::RandomApply random_op = transforms::RandomApply({resize_op, center_crop_op}); /* dataset is an instance of Dataset object */ dataset = dataset->Map({random_op}, // operations {"image"}); // input columns 
 
 - 
~RandomApply() override = default
- Destructor. 
 
- 
explicit RandomApply(const std::vector<TensorTransform*> &transforms, double prob = 0.5)