#include "fastdeploy_capi/vision/visualize.h"
#include "fastdeploy/vision/visualize/visualize.h"
#include "fastdeploy_capi/internal/types_internal.h"

Include dependency graph for visualize.cc:

Functions
FD_C_Mat	FD_C_VisDetection (FD_C_Mat im, FD_C_DetectionResult *fd_c_detection_result, float score_threshold, int line_size, float font_size)
	Show the visualized results for detection models. More...

FD_C_Mat	FD_C_VisDetectionWithLabel (FD_C_Mat im, FD_C_DetectionResult fd_c_detection_result, FD_C_OneDimArrayCstr labels, float score_threshold, int line_size, float font_size)
	Show the visualized results with custom labels for detection models. More...

FD_C_Mat	FD_C_VisClassification (FD_C_Mat im, FD_C_ClassifyResult *fd_c_classify_result, int top_k, float score_threshold, float font_size)
	Show the visualized results for classification models. More...

FD_C_Mat	FD_C_VisClassificationWithLabel (FD_C_Mat im, FD_C_ClassifyResult fd_c_classify_result, FD_C_OneDimArrayCstr labels, int top_k, float score_threshold, float font_size)
	Show the visualized results with custom labels for classification models. More...

FD_C_Mat	FD_C_VisOcr (FD_C_Mat im, FD_C_OCRResult *fd_c_ocr_result)
	Show the visualized results for Ocr models. More...

FD_C_Mat	FD_C_VisSegmentation (FD_C_Mat im, FD_C_SegmentationResult *fd_c_segmenation_result, float weight)
	Show the visualized results for segmentation models. More...

Function Documentation

◆ FD_C_VisClassification()

FD_C_Mat FD_C_VisClassification	(	FD_C_Mat	im,
		FD_C_ClassifyResult *	result,
		int	top_k,
		float	score_threshold,
		float	font_size
	)

Show the visualized results for classification models.

Parameters

[in]	im	the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
[in]	result	the result produced by model
[in]	top_k	the length of return values, e.g., if topk==2, the result will include the 2 most possible class label for input image.
[in]	score_threshold	threshold for top_k scores, the class will not be shown if the score is less than score_threshold
[in]	font_size	font size

Returns: cv::Mat type stores the visualized results

◆ FD_C_VisClassificationWithLabel()

FD_C_Mat FD_C_VisClassificationWithLabel	(	FD_C_Mat	im,
		FD_C_ClassifyResult *	result,
		FD_C_OneDimArrayCstr *	labels,
		int	top_k,
		float	score_threshold,
		float	font_size
	)

Show the visualized results with custom labels for classification models.

Parameters

[in]	im	the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
[in]	result	the result produced by model
[in]	labels	custom labels for user, the visualized result will show the corresponding custom labels
[in]	top_k	the length of return values, e.g., if topk==2, the result will include the 2 most possible class label for input image.
[in]	score_threshold	threshold for top_k scores, the class will not be shown if the score is less than score_threshold
[in]	font_size	font size

Returns: cv::Mat type stores the visualized results

◆ FD_C_VisDetection()

FD_C_Mat FD_C_VisDetection	(	FD_C_Mat	im,
		FD_C_DetectionResult *	fd_detection_result,
		float	score_threshold,
		int	line_size,
		float	font_size
	)

Show the visualized results for detection models.

Parameters

[in]	im	the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
[in]	result	the result produced by model
[in]	score_threshold	threshold for result scores, the bounding box will not be shown if the score is less than score_threshold
[in]	line_size	line size for bounding boxes
[in]	font_size	font size for text

Returns: cv::Mat type stores the visualized results

◆ FD_C_VisDetectionWithLabel()

FD_C_Mat FD_C_VisDetectionWithLabel	(	FD_C_Mat	im,
		FD_C_DetectionResult *	fd_detection_result,
		FD_C_OneDimArrayCstr *	labels,
		float	score_threshold,
		int	line_size,
		float	font_size
	)

Show the visualized results with custom labels for detection models.

Parameters

[in]	im	the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
[in]	result	the result produced by model
[in]	labels	the visualized result will show the bounding box contain class label
[in]	score_threshold	threshold for result scores, the bounding box will not be shown if the score is less than score_threshold
[in]	line_size	line size for bounding boxes
[in]	font_size	font size for text

Returns: cv::Mat type stores the visualized results

◆ FD_C_VisOcr()

FD_C_Mat FD_C_VisOcr	(	FD_C_Mat	im,
		FD_C_OCRResult *	ocr_result
	)

Show the visualized results for Ocr models.

Parameters

[in]	im	the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
[in]	result	the result produced by model

Returns: cv::Mat type stores the visualized results

◆ FD_C_VisSegmentation()

FD_C_Mat FD_C_VisSegmentation	(	FD_C_Mat	im,
		FD_C_SegmentationResult *	result,
		float	weight
	)

Show the visualized results for segmentation models.

Parameters

[in]	im	the input image data, comes from cv::imread(), is a 3-D array with layout HWC, BGR format
[in]	result	the result produced by model
[in]	weight	transparent weight of visualized result image

Returns: cv::Mat type stores the visualized results

Functions

Function Documentation

◆ FD_C_VisClassification()

◆ FD_C_VisClassificationWithLabel()

◆ FD_C_VisDetection()

◆ FD_C_VisDetectionWithLabel()

◆ FD_C_VisOcr()

◆ FD_C_VisSegmentation()