vitis::ai::MultiTask8UC3

Base class for ADAS MuiltTask8UC3 from an image (cv::Mat).

Input is an image (cv::Mat).

Output is struct MultiTaskResult include segmentation results, detection results and vehicle orientation; The result cv::Mat type is CV_8UC3

Sample code:

auto det = vitis::ai::MultiTask8UC3::create(vitis::ai::MULITASK);
auto image = cv::imread("sample_multitask.jpg");
auto result = det->run(image);
cv::imwrite("res.jpg",result.segmentation);

Quick Function Reference

The following table lists all the functions defined in the vitis::ai::MultiTask8UC3 class:

Table 1. Quick Function Reference
Type	Name	Arguments
std::unique_ptr< `MultiTask8UC3` >	create	const std::string & model_name bool need_preprocess
int	getInputWidth	void
int	getInputHeight	void
size_t	get_input_batch	void
`MultiTaskResult`	run	const cv::Mat & image
std::vector< `MultiTaskResult` >	run	const std::vector< cv::Mat > & images

create

Factory function to get an instance of derived classes of class MultiTask8UC3.

Prototype

std::unique_ptr< MultiTask8UC3 > 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 MultiTask8UC3 class.

getInputWidth

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

Prototype

int getInputWidth() const;

Returns

InputWidth of the multitask network.

getInputHeight

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

Prototype

int getInputHeight() const;

Returns

InputHeight of the multitask 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 different. This depends on the IP used.

Prototype

size_t get_input_batch() const;

Returns

Batch size.

run

Function of get running result from the MultiTask network.

Note: The type is CV_8UC3 of the MultiTaskResult.segmentation.

Prototype


            MultiTaskResult 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 image

Returns

The struct of MultiTaskResult

run

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

Note: The type is CV_8UC3 of the MultiTaskResult.segmentation.

Prototype

std::vector< MultiTaskResult > 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 MultiTaskResult.