vitis::ai::BCC

Base class for BCC (Bayesian crowd counting)

Input is an image (cv:Mat).

Output is a struct of detection results, named BCCResult.

Sample code :

Mat img = cv::imread("sample_BCC.jpg");
auto BCC = vitis::ai::BCC::create("bcc_pt",true);
auto result = BCC->run(img);
std::cout << result.count << "\n";

Quick Function Reference

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

Table 1. Quick Function Reference
Type	Name	Arguments
std::unique_ptr< `BCC` >	create	const std::string & model_name bool need_preprocess
vitis::ai::BCCResult	run	const cv::Mat & img
std::vector< vitis::ai::BCCResult >	run	const std::vector< cv::Mat > & imgs
int	getInputWidth	void
int	getInputHeight	void
size_t	get_input_batch	void

create

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

Prototype

std::unique_ptr< BCC > 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 BCC class.

run

Function of get result of the BCC neuron network.

Prototype

vitis::ai::BCCResult run(const cv::Mat &img)=0;

Parameters

The following table lists the run function arguments.

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

Returns

BCCResult.

run

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

Prototype

std::vector< vitis::ai::BCCResult > run(const std::vector< cv::Mat > &imgs)=0;

Parameters

The following table lists the run function arguments.

Table 4. run Arguments
Type	Name	Description
const std::vector< cv::Mat > &	imgs	Input data of input images (vector<cv::Mat>). The size of input images need equal to or less than batch size obtained by get_input_batch.

Returns

The vector of BCCResult.

getInputWidth

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

Prototype

int getInputWidth() const =0;

Returns

InputWidth of the BCC network.

getInputHeight

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

Prototype

int getInputHeight() const =0;

Returns

InputHeight of the BCC 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 =0;

Returns

Batch size.