Class SoftDvppDecodeResizeJpeg

Inheritance Relationships

Base Type

Class Documentation

class SoftDvppDecodeResizeJpeg : public mindspore::dataset::TensorTransform

Decode and resize a JPEG image using the simulation algorithm of Ascend series chip DVPP module. It is recommended to use this algorithm in the following scenarios: When training, the DVPP of the Ascend chip is not used, and the DVPP of the Ascend chip is used during inference, and the accuracy of inference is lower than the accuracy of training; and the input image size should be in range [32*32, 8192*8192]. The zoom-out and zoom-in multiples of the image length and width should be in the range [1/32, 16]. Only images with an even resolution can be output. The output of odd resolution is not supported.

Public Functions

explicit SoftDvppDecodeResizeJpeg(const std::vector<int32_t> &size)

Constructor.

Parameters

size – [in] A vector representing the output size of the resized image. If the size is a single value, smaller edge of 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).

Example
/* Define operations */
auto dvpp_op = vision::SoftDvppDecodeResizeJpeg({255, 255});

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

Destructor.