image_opencv.hpp File Reference

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Functions
void	blend_images_cv (Darknet::Image new_img, float alpha, Darknet::Image old_img, float beta)
void	draw_detections_cv_v3 (cv::Mat show_img, Darknet::Detection *dets, int num, float thresh, char **names, int classes, int ext_output)
Darknet::Image	image_data_augmentation (cv::Mat mat, int w, int h, int pleft, int ptop, int swidth, int sheight, int flip, float dhue, float dsat, float dexp, int gaussian_noise, int blur, int num_boxes, int truth_size, float *truth)
cv::Mat	load_rgb_mat_image (const std::string &filename, int flag)
	Load the given image using OpenCV.
void	show_anchors (int number_of_boxes, int num_of_clusters, float *rel_width_height_array, model anchors_data, int width, int height)
void	show_image_cv (Darknet::Image p, const char *name)

Function Documentation

blend_images_cv()

void blend_images_cv	(	Darknet::Image	new_img,
		float	alpha,
		Darknet::Image	old_img,
		float	beta
	)

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draw_detections_cv_v3()

void draw_detections_cv_v3	(	cv::Mat	show_img,
		Darknet::Detection *	dets,
		int	num,
		float	thresh,
		char **	names,
		int	classes,
		int	ext_output
	)

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image_data_augmentation()

Darknet::Image image_data_augmentation	(	cv::Mat	mat,
		int	w,
		int	h,
		int	pleft,
		int	ptop,
		int	swidth,
		int	sheight,
		int	flip,
		float	dhue,
		float	dsat,
		float	dexp,
		int	gaussian_noise,
		int	blur,
		int	num_boxes,
		int	truth_size,
		float *	truth
	)

Todo:

COLOR - cannot do hue in hyperspectal land

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load_rgb_mat_image()

cv::Mat load_rgb_mat_image	(	const std::string &	filename,
		int	flag
	)

Load the given image using OpenCV.

Automatically converts the image from the usual OpenCV BGR format to RGB for use in Darknet. This is the function that is used to load images when training.

See also

Darknet::load_image()

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show_anchors()

void show_anchors	(	int	number_of_boxes,
		int	num_of_clusters,
		float *	rel_width_height_array,
		model	anchors_data,
		int	width,
		int	height
	)

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show_image_cv()

void show_image_cv	(	Darknet::Image	p,
		const char *	name
	)

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