image_opencv.h File Reference

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Typedefs
typedef void *	mat_cv
	Hide a C++ cv::Mat object as a C style void* pointer. More...
typedef void *	cap_cv
	Hide a C++ cv::VideoCapture object as a C style void* pointer. More...
typedef void *	write_cv
	Hide a C++ cv::VideoWriter object as a C style void* pointer. More...

Functions
mat_cv *	load_image_mat_cv (const char *const filename, int flag)
	Load the given image using OpenCV and return it as a "C" style mat_cv void* pointer. More...
image	load_image_cv (char *filename, int channels)
	Similar to load_image_mat_cv() but is explicit about the image channels and returns a Darknet-style image. More...
image	load_image_resize (char *filename, int w, int h, int c, image *im)
	Load the given image, but then immediately resize it to the desired dimensions. More...
int	get_width_mat (mat_cv *mat)
int	get_height_mat (mat_cv *mat)
void	release_mat (mat_cv **mat)
	Frees the cv::Mat object allocated in load_image_mat_cv(). More...
image	mat_to_image_cv (mat_cv *mat)
void	create_window_cv (char const *window_name, int full_screen, int width, int height)
void	resize_window_cv (char const *window_name, int width, int height)
void	move_window_cv (char const *window_name, int x, int y)
void	destroy_all_windows_cv ()
int	wait_key_cv (int delay)
int	wait_until_press_key_cv ()
void	show_image_cv (image p, const char *name)
void	show_image_mat (mat_cv *mat_ptr, const char *name)
write_cv *	create_video_writer (char *out_filename, char c1, char c2, char c3, char c4, int fps, int width, int height, int is_color)
void	write_frame_cv (write_cv *output_video_writer, mat_cv *mat)
void	release_video_writer (write_cv **output_video_writer)
cap_cv *	get_capture_video_stream (const char *path)
cap_cv *	get_capture_webcam (int index)
void	release_capture (cap_cv *cap)
mat_cv *	get_capture_frame_cv (cap_cv *cap)
int	get_stream_fps_cpp_cv (cap_cv *cap)
double	get_capture_property_cv (cap_cv *cap, int property_id)
double	get_capture_frame_count_cv (cap_cv *cap)
int	set_capture_property_cv (cap_cv *cap, int property_id, double value)
int	set_capture_position_frame_cv (cap_cv *cap, int index)
image	get_image_from_stream_cpp (cap_cv *cap)
image	get_image_from_stream_resize (cap_cv *cap, int w, int h, int c, mat_cv **in_img, int dont_close)
image	get_image_from_stream_letterbox (cap_cv *cap, int w, int h, int c, mat_cv **in_img, int dont_close)
void	consume_frame (cap_cv *cap)
void	save_cv_png (mat_cv *img, const char *name)
void	save_cv_jpg (mat_cv *img, const char *name)
void	draw_detections_cv_v3 (mat_cv *show_img, detection *dets, int num, float thresh, char **names, image **alphabet, int classes, int ext_output)
mat_cv *	draw_initial_train_chart (char *windows_name, float max_img_loss, int max_batches, int number_of_lines, int img_size, int dont_show, char *chart_path)
	Draw the intial Loss & Accuracy chart. This is called once at the very start. More...
void	update_train_loss_chart (char *windows_name, mat_cv *img, int img_size, float avg_loss, float max_img_loss, int current_batch, int max_batches, float precision, int draw_precision, char *accuracy_name, float contr_acc, int dont_show, int mjpeg_port, double time_remaining)
	Update the Loss & Accuracy chart with the given information. This is called repeatedly as more data is produced during training. More...
image	image_data_augmentation (mat_cv *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)
void	blend_images_cv (image new_img, float alpha, image old_img, float beta)
image	blur_image (image src_img, int ksize)
void	cv_draw_object (image sized, float *truth_cpu, int max_boxes, int num_truth, int *it_num_set, float *lr_set, int *boxonly, int classes, char **names)
void	show_acnhors (int number_of_boxes, int num_of_clusters, float *rel_width_height_array, model anchors_data, int width, int height)
void	show_opencv_info ()

Typedef Documentation

mat_cv

typedef void* mat_cv

Hide a C++ cv::Mat object as a C style void* pointer.

cap_cv

typedef void* cap_cv

Hide a C++ cv::VideoCapture object as a C style void* pointer.

write_cv

typedef void* write_cv

Hide a C++ cv::VideoWriter object as a C style void* pointer.

Function Documentation

load_image_mat_cv()

mat_cv* load_image_mat_cv	(	const char *const	filename,
		int	flag
	)

Load the given image using OpenCV and return it as a "C" style mat_cv void* pointer.

Converts the image from the usual OpenCV BGR format to RGB. Remember to free the image with release_mat().

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load_image_cv()

image load_image_cv	(	char *	filename,
		int	channels
	)

Similar to load_image_mat_cv() but is explicit about the image channels and returns a Darknet-style image.

Channels should be 0 (colour), 1 (grayscale) or 3 (colour). This uses load_image_mat_cv() so the channels will be converted fro BGR to RGB.

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load_image_resize()

image load_image_resize	(	char *	filename,
		int	w,
		int	h,
		int	c,
		image *	im
	)

Load the given image, but then immediately resize it to the desired dimensions.

Does not maintain apect ratio, and does not use letterbox.

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get_width_mat()

int get_width_mat

(

mat_cv *

mat

)

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get_height_mat()

int get_height_mat

(

mat_cv *

mat

)

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release_mat()

void release_mat

(

mat_cv **

mat

)

Frees the cv::Mat object allocated in load_image_mat_cv().

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mat_to_image_cv()

image mat_to_image_cv

(

mat_cv *

mat

)

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create_window_cv()

void create_window_cv	(	char const *	window_name,
		int	full_screen,
		int	width,
		int	height
	)

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resize_window_cv()

void resize_window_cv	(	char const *	window_name,
		int	width,
		int	height
	)

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move_window_cv()

void move_window_cv	(	char const *	window_name,
		int	x,
		int	y
	)

destroy_all_windows_cv()

void destroy_all_windows_cv

(

)

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wait_key_cv()

int wait_key_cv

(

int

delay

)

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wait_until_press_key_cv()

int wait_until_press_key_cv

(

)

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show_image_cv()

void show_image_cv	(	image	p,
		const char *	name
	)

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show_image_mat()

void show_image_mat	(	mat_cv *	mat_ptr,
		const char *	name
	)

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create_video_writer()

write_cv* create_video_writer	(	char *	out_filename,
		char	c1,
		char	c2,
		char	c3,
		char	c4,
		int	fps,
		int	width,
		int	height,
		int	is_color
	)

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write_frame_cv()

void write_frame_cv	(	write_cv *	output_video_writer,
		mat_cv *	mat
	)

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release_video_writer()

void release_video_writer

(

write_cv **

output_video_writer

)

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get_capture_video_stream()

cap_cv* get_capture_video_stream

(

const char *

path

)

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get_capture_webcam()

cap_cv* get_capture_webcam

(

int

index

)

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release_capture()

void release_capture

(

cap_cv *

cap

)

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get_capture_frame_cv()

mat_cv* get_capture_frame_cv

(

cap_cv *

cap

)

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get_stream_fps_cpp_cv()

int get_stream_fps_cpp_cv

(

cap_cv *

cap

)

Todo:

why is this returning an int?

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get_capture_property_cv()

double get_capture_property_cv	(	cap_cv *	cap,
		int	property_id
	)

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get_capture_frame_count_cv()

double get_capture_frame_count_cv

(

cap_cv *

cap

)

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set_capture_property_cv()

int set_capture_property_cv	(	cap_cv *	cap,
		int	property_id,
		double	value
	)

Todo:

why does this return int?

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set_capture_position_frame_cv()

int set_capture_position_frame_cv	(	cap_cv *	cap,
		int	index
	)

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get_image_from_stream_cpp()

image get_image_from_stream_cpp

(

cap_cv *

cap

)

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get_image_from_stream_resize()

image get_image_from_stream_resize	(	cap_cv *	cap,
		int	w,
		int	h,
		int	c,
		mat_cv **	in_img,
		int	dont_close
	)

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get_image_from_stream_letterbox()

image get_image_from_stream_letterbox	(	cap_cv *	cap,
		int	w,
		int	h,
		int	c,
		mat_cv **	in_img,
		int	dont_close
	)

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consume_frame()

void consume_frame

(

cap_cv *

cap

)

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save_cv_png()

void save_cv_png	(	mat_cv *	img,
		const char *	name
	)

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save_cv_jpg()

void save_cv_jpg	(	mat_cv *	img,
		const char *	name
	)

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draw_detections_cv_v3()

void draw_detections_cv_v3	(	mat_cv *	show_img,
		detection *	dets,
		int	num,
		float	thresh,
		char **	names,
		image **	alphabet,
		int	classes,
		int	ext_output
	)

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draw_initial_train_chart()

mat_cv* draw_initial_train_chart	(	char *	windows_name,
		float	max_img_loss,
		int	max_batches,
		int	number_of_lines,
		int	img_size,
		int	dont_show,
		char *	chart_path
	)

Draw the intial Loss & Accuracy chart. This is called once at the very start.

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update_train_loss_chart()

void update_train_loss_chart	(	char *	windows_name,
		mat_cv *	img,
		int	img_size,
		float	avg_loss,
		float	max_img_loss,
		int	current_batch,
		int	max_batches,
		float	precision,
		int	draw_precision,
		char *	accuracy_name,
		float	contr_acc,
		int	dont_show,
		int	mjpeg_port,
		double	time_remaining
	)

Update the Loss & Accuracy chart with the given information. This is called repeatedly as more data is produced during training.

Note

This is called at every iteration to update the chart, but the output file isn't saved to disk every time.

In some parts of the code, this is called at the end of the iteration, once the batch number (iteration) has already been updated. So the very first time through, the "current_batch" is already set to 1, not 0. In othe parts, this is called at the start of the iteration, so the first time through the "current_batch" is zero.

Todo:

why is this not done above in draw_initial_train_chart()

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image_data_augmentation()

image image_data_augmentation	(	mat_cv *	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
	)

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blend_images_cv()

void blend_images_cv	(	image	new_img,
		float	alpha,
		image	old_img,
		float	beta
	)

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blur_image()

image blur_image	(	image	src_img,
		int	ksize
	)

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cv_draw_object()

void cv_draw_object	(	image	sized,
		float *	truth_cpu,
		int	max_boxes,
		int	num_truth,
		int *	it_num_set,
		float *	lr_set,
		int *	boxonly,
		int	classes,
		char **	names
	)

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show_acnhors()

void show_acnhors	(	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_opencv_info()

void show_opencv_info

(

)

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