vitis::ai::Covid19Segmentation8UC1

The Class of Covid19Segmentation8UC1, this class run function return a cv::Mat with the type is cv_8UC1.

Quick Function Reference

The following table lists all the functions defined in the vitis::ai::Covid19Segmentation8UC1 class:

Table 1. Quick Function Reference
TypeNameArguments
std::unique_ptr< Covid19Segmentation8UC1 >create
  • const std::string & model_name
  • bool need_preprocess
intgetInputWidth
  • void
intgetInputHeight
  • void
size_tget_input_batch
  • void
Covid19SegmentationResultrun
  • const cv::Mat & image
std::vector< Covid19SegmentationResult >run
  • const std::vector< cv::Mat > & images

create

Factory function to get an instance of derived classes of class Covid19Segmentation8UC1.

Prototype

std::unique_ptr< Covid19Segmentation8UC1 > create(const std::string &model_name, bool need_preprocess=true);

Parameters

The following table lists the create function arguments.

Table 2. create Arguments
Type Name Description
const std::string & model_name Model name
bool need_preprocess Normalize with mean/scale or not, default value is true.

Returns

An instance of Covid19Segmentation8UC1 class.

getInputWidth

Function to get InputWidth of the covid19segmentation network (input image columns).

Prototype

int getInputWidth() const;

Returns

InputWidth of the covid19segmentation network.

getInputHeight

Function to get InputHeight of the covid19segmentation network (input image rows).

Prototype

int getInputHeight() const;

Returns

InputHeight of the covid19segmentation network.

get_input_batch

Function to get the number of images processed by the DPU at one time.

Note: Different DPU core the batch size may be differnt. This depends on the IP used.

Prototype

size_t get_input_batch() const;

Returns

Batch size.

run

Function to get running result of the covid19segmentation network.

Note: The result cv::Mat of the type is CV_8UC1.

Prototype

Covid19SegmentationResult run(const cv::Mat &image);

Parameters

The following table lists the run function arguments.

Table 3. run Arguments
Type Name Description
const cv::Mat & image Input data of the image (cv::Mat)

Returns

The result of covid19segmentation network.

run

Function to get running results of the covid19segmentation neuron network in batch mode.

Note: The type of CV_8UC1 of the Result's covid19segmentation.

Prototype

std::vector< Covid19SegmentationResult > run(const std::vector< cv::Mat > &images);

Parameters

The following table lists the run function arguments.

Table 4. run Arguments
Type Name Description
const std::vector< cv::Mat > & images Input data of input images (std:vector<cv::Mat>). The size of input images equals batch size obtained by get_input_batch.

Returns

The vector of Covid19SegmentationResult.