CPP_Birdtracker
A C++ object tracking program specifically for lunar bird tracking
Functions | Variables
frame_extraction.hpp File Reference
#include <algorithm>
#include <ctime>
#include <errno.h>
#include <tgmath.h>
#include <fcntl.h>
#include <fstream>
#include <iostream>
#include <numeric>
#include <pthread.h>
#include <signal.h>
#include <stdlib.h>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <sys/mman.h>
#include <sys/wait.h>
#include <tuple>
#include <unistd.h>
#include <typeinfo>
#include <regex>
#include <string>
#include <experimental/filesystem>
#include <vector>
#include "opencv2/opencv.hpp"
#include "opencv2/ximgproc.hpp"
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Functions

static Mat shift_frame (Mat in_frame, int shiftx, int shifty)
 
static Mat corner_matching (Mat in_frame, vector< Point > contour, int plusx, int plusy)
 
static vector< int > test_edges (Mat in_frame, vector< Point > contour, int te_ret)
 
static int min_square_dim (Mat in_frame)
 
static vector< int > edge_width (vector< Point > contour)
 
static vector< int > edge_height (vector< Point > contour)
 
static int initial_crop (Mat in_frame, int framecnt)
 
static int touching_edges (Mat in_frame, vector< Point > contour)
 
static Mat traditional_centering (Mat in_frame, vector< vector< Point >> contours, int largest, Rect box)
 
static int first_frame (Mat in_frame, int framecnt)
 
static int halo_noise_and_center (Mat in_frame, int framecnt)
 
static void signal_callback_handler (int signum)
 
static Mat apply_dynamic_mask (Mat in_frame, vector< vector< Point >> contours, int maskwidth)
 
static int largest_contour (vector< vector< Point >> contours)
 
static vector< vector< Point > > contours_only (Mat in_frame)
 
static int box_finder (Mat in_frame, bool do_thresh)
 
static int box_data (Rect box, int framecnt)
 
static int show_usage (string name)
 
static vector< Point > qhe_bigone (Mat in_frame)
 
static vector< vector< Point > > quiet_halo_elim (vector< vector< Point >> contours, vector< Point > bigone)
 
static int tier_one (int cnt, Mat in_frame, vector< Point > bigone)
 
static int tier_two (int cnt, Mat in_frame, vector< Point > bigone)
 
static int tier_three (int cnt, Mat in_frame, Mat old_frame, vector< Point > bigone)
 
static int tier_four (int cnt, Mat in_frame, Mat old_frame, vector< Point > bigone)
 
static int parse_checklist (std::string name, std::string value)
 
static std::string out_frame_gen (int framecnt)
 
std::string space_space (std::string instring)
 
static int generate_slideshow ()
 
static int concat_tiers ()
 
static int off_screen_ellipse ()
 
static int post_processing ()
 
int main (int argc, char *argv[])
 

Variables

int MAJOR_VERSION = 0
 
int MINOR_VERSION = 3
 
std::string ALPHA_BETA = "-alpha"
 
int SIG_ALERT = 0
 
double ORIG_AREA
 
double ORIG_PERI
 
int ORIG_VERT
 
int ORIG_HORZ
 
int BOXSIZE
 
Point ORIG_TL
 
Point ORIG_BR
 
std::string LOGOUT
 
std::ofstream LOGGING
 
std::string TIER1FILE
 
std::string TIER2FILE
 
std::string TIER3FILE
 
std::string TIER4FILE
 
std::string ELLIPSEDATA
 
std::string BOXDATA
 
std::string METADATA
 
int TC_W
 
int TC_H
 
bool CAUGHT_EMPTY = false
 
bool DEBUG_FRAMES = false
 
bool DEBUG_COUT = false
 
bool OUTPUT_FRAMES = false
 
bool EMPTY_FRAMES = true
 
bool GEN_SLIDESHOW = true
 
bool SIMP_ELL = true
 
bool CONCAT_TIERS = true
 
bool TIGHT_CROP = true
 
std::string OSFPROJECT = ""
 
std::string OUTPUTDIR = "Birdtracker_Output/"
 
int EDGETHRESH = 10
 
int QHE_WIDTH = 10
 
int BLACKOUT_THRESH = 51
 
int CONVERT_FPS = 30
 
int NON_ZERO_START = 0
 
int QHE_GB_KERNEL_X = 15
 
int QHE_GB_KERNEL_Y = 15
 
double QHE_GB_SIGMA_X = 1
 
double QHE_GB_SIGMA_Y = 1
 
double T1_AT_MAX = 255
 
int T1_AT_BLOCKSIZE = 65
 
double T1_AT_CONSTANT = 35
 
int T1_DYMASK = 25
 
double T2_AT_MAX = 255
 
int T2_AT_BLOCKSIZE = 65
 
double T2_AT_CONSTANT = 20
 
int T2_DYMASK = 25
 
int T3_LAP_KERNEL = 11
 
double T3_LAP_SCALE = 0.0001
 
double T3_LAP_DELTA = 0
 
int T3_GB_KERNEL_X = 11
 
int T3_GB_KERNEL_Y = 11
 
double T3_GB_SIGMA_X = 1
 
double T3_GB_SIGMA_Y = 1
 
int T3_CUTOFF_THRESH = 40
 
int T3_DYMASK = 45
 
double T4_AT_MAX = 255
 
int T4_AT_BLOCKSIZE = 65
 
double T4_AT_CONSTANT = 20
 
double T4_POWER = 2
 
int T4_GB_KERNEL_X = 11
 
int T4_GB_KERNEL_Y = 11
 
double T4_GB_SIGMA_X = 1
 
double T4_GB_SIGMA_Y = 1
 
int T4_THINNING = 0
 
int T4_DYMASK = 45
 

Function Documentation

◆ apply_dynamic_mask()

static Mat apply_dynamic_mask ( Mat  in_frame,
vector< vector< Point >>  contours,
int  maskwidth 
)
static

◆ box_data()

static int box_data ( Rect  box,
int  framecnt 
)
static

◆ box_finder()

static int box_finder ( Mat  in_frame,
bool  do_thresh 
)
static

◆ concat_tiers()

static int concat_tiers ( )
static

◆ contours_only()

static vector<vector<Point> > contours_only ( Mat  in_frame)
static

◆ corner_matching()

static Mat corner_matching ( Mat  in_frame,
vector< Point >  contour,
int  plusx,
int  plusy 
)
static

◆ edge_height()

static vector<int> edge_height ( vector< Point >  contour)
static

◆ edge_width()

static vector<int> edge_width ( vector< Point >  contour)
static

◆ first_frame()

static int first_frame ( Mat  in_frame,
int  framecnt 
)
static

◆ generate_slideshow()

static int generate_slideshow ( )
static

◆ halo_noise_and_center()

static int halo_noise_and_center ( Mat  in_frame,
int  framecnt 
)
static

◆ initial_crop()

static int initial_crop ( Mat  in_frame,
int  framecnt 
)
static

◆ largest_contour()

static int largest_contour ( vector< vector< Point >>  contours)
static

◆ main()

int main ( int  argc,
char *  argv[] 
)

Main loop

Parameters
argcnumber of input arguments
argvcontents of input arguments
Returns
status

Definition at line 2056 of file frame_extraction.cpp.

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◆ min_square_dim()

static int min_square_dim ( Mat  in_frame)
static

◆ off_screen_ellipse()

static int off_screen_ellipse ( )
static

◆ out_frame_gen()

static std::string out_frame_gen ( int  framecnt)
static

◆ parse_checklist()

static int parse_checklist ( std::string  name,
std::string  value 
)
static

This function handles the strings and values parsed from the settings.cfg file and assigns them to the global values.

Parameters
nameString obtained while parsing the settings.cfg file
valueThe value associated with name from settings.cfg file
Returns
status

Definition at line 1328 of file frame_extraction.cpp.

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◆ post_processing()

static int post_processing ( )
static

◆ qhe_bigone()

static vector<Point> qhe_bigone ( Mat  in_frame)
static

◆ quiet_halo_elim()

static vector<vector<Point> > quiet_halo_elim ( vector< vector< Point >>  contours,
vector< Point >  bigone 
)
static

◆ shift_frame()

static Mat shift_frame ( Mat  in_frame,
int  shiftx,
int  shifty 
)
static

◆ show_usage()

static int show_usage ( string  name)
static

◆ signal_callback_handler()

static void signal_callback_handler ( int  signum)
static

This is a helper function to handle terminal signals. This shuts down the various forks properly when an interrupt is caught.

Parameters
signumsignal number passed to this function. Only handles 2.

Definition at line 738 of file frame_extraction.cpp.

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◆ space_space()

std::string space_space ( std::string  instring)

This helper function handles spaces in user paths.

Parameters
instringthe input string
Returns
outstring the corrected string

Definition at line 1526 of file frame_extraction.cpp.

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◆ test_edges()

static vector<int> test_edges ( Mat  in_frame,
vector< Point >  contour,
int  te_ret 
)
static

◆ tier_four()

static int tier_four ( int  framecnt,
Mat  in_frame,
Mat  old_frame,
vector< Point >  bigone 
)
static

This is the fourth pass to detect valid contours in a frame. The parameters of the function are set in the T4 section of settings.cfg. This is the UnCanny method for detecting motion. The steps are essentially the backward operation of the steps taken during Canny filtering. The current frame is subtracted from the previous frame, and this output is threholded. The thresholded image is then passed through directional Sobel filters to separate the x and y components. These components are squared, added to each other, and square rooted. The output is rescaled to match the input value ranges, and a Gaussian blur is applied. Since this output is messy, the blurry image is processed using Zhang-Suen thinning to get distinct edges. Any details lost between the blurring and thinning steps reduce noise. Contours are then detected in the normal way.

Parameters
framecntint of nth frame retrieved by program
in_frameOpenCV matrix image, 16-bit single depth format
old_frameOpenCV matrix image, 16-bit single depth format, stored from previous cycle
bigonevector of Opencv Points representing the largest contour from qhe_bigone
Returns
status

Definition at line 1229 of file frame_extraction.cpp.

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◆ tier_one()

static int tier_one ( int  framecnt,
Mat  in_frame,
vector< Point >  bigone 
)
static

This is the first pass to detect valid contours in a frame. The parameters of the function are set in the T1 section of settings.cfg. Contours are detected based on a relatively strict OpenCV adaptiveThreshold function. These should be gauranteed "hits".

Parameters
framecntint of nth frame retrieved by program
in_frameOpenCV matrix image, 16-bit single depth format
bigonevector of Opencv Points representing the largest contour from qhe_bigone
Returns
status

Definition at line 964 of file frame_extraction.cpp.

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◆ tier_three()

static int tier_three ( int  framecnt,
Mat  in_frame,
Mat  old_frame,
vector< Point >  bigone 
)
static

This is the third pass to detect valid contours in a frame. The parameters of the function are set in the T3 section of settings.cfg. The detector performs an isotropic Laplacian on the current frame and the previous frame (settings.cfg can be modified for anisotropic Laplacian). The outputs are blurred and recombined. Values passing a cutoff threshold are retained and the contours are detected.

Parameters
framecntint of nth frame retrieved by program
in_frameOpenCV matrix image, 16-bit single depth format
old_frameOpenCV matrix image, 16-bit single depth format, stored from previous cycle
bigonevector of Opencv Points representing the largest contour from qhe_bigone
Returns
status

Definition at line 1122 of file frame_extraction.cpp.

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◆ tier_two()

static int tier_two ( int  framecnt,
Mat  in_frame,
vector< Point >  bigone 
)
static

This is the second pass to detect valid contours in a frame. The parameters of the function are set in the T2 section of settings.cfg. Contours are detected based on a relatively loose OpenCV adaptiveThreshold function.

Parameters
framecntint of nth frame retrieved by program
in_frameOpenCV matrix image, 16-bit single depth format
bigonevector of Opencv Points representing the largest contour from qhe_bigone
Returns
status

Definition at line 1042 of file frame_extraction.cpp.

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◆ touching_edges()

static int touching_edges ( Mat  in_frame,
vector< Point >  contour 
)
static

◆ traditional_centering()

static Mat traditional_centering ( Mat  in_frame,
vector< vector< Point >>  contours,
int  largest,
Rect  box 
)
static

Variable Documentation

◆ ALPHA_BETA

std::string ALPHA_BETA = "-alpha"

Add-on version number for alpha/beta/release desgination

Definition at line 71 of file frame_extraction.hpp.

◆ BLACKOUT_THRESH

int BLACKOUT_THRESH = 51

Threshold value for a TOZERO OpenCV thresholding operation. This is used to mask any haze around the moon, making sure the 'night sky' remains black, and prevents a hazy moon from doing strange things to the perceived size of the moon by the dumb algorithm. When finding the the size of the moon halo, all pixels below this value (of max 255) become 0. If you set it too high for your video, you may lose some moon size in the process, but this will not break your bird tracking. User configurable from settings.cfg

Definition at line 249 of file frame_extraction.hpp.

◆ BOXDATA

std::string BOXDATA

Holder for the location of the box data output CSV

Definition at line 138 of file frame_extraction.hpp.

◆ BOXSIZE

int BOXSIZE

Minimum dimension of the raw input frame from the video. Set by min_square_dim() e.g. for a 1920x1080 video this will be 1080.

Definition at line 96 of file frame_extraction.hpp.

◆ CAUGHT_EMPTY

bool CAUGHT_EMPTY = false

Yet another abort error code value. This reports if the box_finder was unable to find a suitable large frame, indicating the moon has vanished.

Definition at line 155 of file frame_extraction.hpp.

◆ CONCAT_TIERS

bool CONCAT_TIERS = true

Should the program concatenate the Tiered data into a single file? User configurable from settings.cfg

Definition at line 213 of file frame_extraction.hpp.

◆ CONVERT_FPS

int CONVERT_FPS = 30

If you convert a video from h264 to mp4 using this program, you must set the framerate here. Different versions of the hardware use different framerates. The latest version (as of winter 2020) are 30 fps, while older versions may have 25 fps. This ONLY supports integer inputs. User configurable from settings.cfg

Definition at line 257 of file frame_extraction.hpp.

◆ DEBUG_COUT

bool DEBUG_COUT = false

Run frame_extraction with OpenCV window for debugging purposes User configurable from settings.cfg

Definition at line 186 of file frame_extraction.hpp.

◆ DEBUG_FRAMES

bool DEBUG_FRAMES = false

Run frame_extraction with debugging output (prints everything verbose) User configurable from settings.cfg

Definition at line 181 of file frame_extraction.hpp.

◆ EDGETHRESH

int EDGETHRESH = 10

Number of Pixels touching the edge of the image to count as "off screen" User configurable from settings.cfg

Definition at line 235 of file frame_extraction.hpp.

◆ ELLIPSEDATA

std::string ELLIPSEDATA

Holder for the location of the ellipse data output CSV

Definition at line 134 of file frame_extraction.hpp.

◆ EMPTY_FRAMES

bool EMPTY_FRAMES = true

Should the program cleanup the generated frame png images on exit? This is ignored if OUTPUT_FRAMES = false User configurable from settings.cfg

Definition at line 197 of file frame_extraction.hpp.

◆ GEN_SLIDESHOW

bool GEN_SLIDESHOW = true

Should the program concatenate the exported frames into a video at the end? This is ignored if OUTPUT_FRAMES = false User configurable from settings.cfg

Definition at line 203 of file frame_extraction.hpp.

◆ LOGGING

std::ofstream LOGGING

Holder for the output stream created by DEBUG_COUT functions.

Definition at line 114 of file frame_extraction.hpp.

◆ LOGOUT

std::string LOGOUT

Holder for the location of the log file created by DEBUG_COUT functions.

Definition at line 110 of file frame_extraction.hpp.

◆ MAJOR_VERSION

int MAJOR_VERSION = 0

Major version number

Definition at line 63 of file frame_extraction.hpp.

◆ METADATA

std::string METADATA

Holder for the location of the metadata file

Definition at line 142 of file frame_extraction.hpp.

◆ MINOR_VERSION

int MINOR_VERSION = 3

Minor version number

Definition at line 67 of file frame_extraction.hpp.

◆ NON_ZERO_START

int NON_ZERO_START = 0

Sets the processor to start at a specific frame User configurable from settings.cfg

Definition at line 262 of file frame_extraction.hpp.

◆ ORIG_AREA

double ORIG_AREA

Area of the largest contour in the first "good" frame, determined by first_frame()

Definition at line 79 of file frame_extraction.hpp.

◆ ORIG_BR

Point ORIG_BR

xy coorindates of the bottom right corner of the moon in the first "good" frame, determined by first_frame()

Definition at line 106 of file frame_extraction.hpp.

◆ ORIG_HORZ

int ORIG_HORZ

Width of the largest contour in the first "good" frame, determined by first_frame()

Definition at line 91 of file frame_extraction.hpp.

◆ ORIG_PERI

double ORIG_PERI

Perimeter of the largest contour in the first "good" frame, determined by first_frame()

Definition at line 83 of file frame_extraction.hpp.

◆ ORIG_TL

Point ORIG_TL

xy coorindates of the top left corner of the moon in the first "good" frame, determined by first_frame()

Definition at line 101 of file frame_extraction.hpp.

◆ ORIG_VERT

int ORIG_VERT

Height of the largest contour in the first "good" frame, determined by first_frame()

Definition at line 87 of file frame_extraction.hpp.

◆ OSFPROJECT

std::string OSFPROJECT = ""

The project code for the project on OSF (optional) User configurable from settings.cfg

Definition at line 224 of file frame_extraction.hpp.

◆ OUTPUT_FRAMES

bool OUTPUT_FRAMES = false

Should the frame extractor output every frame with detected contours? User configurable from settings.cfg

Definition at line 191 of file frame_extraction.hpp.

◆ OUTPUTDIR

std::string OUTPUTDIR = "Birdtracker_Output/"

The directory where the output data should be put. Default creates a new directory. No quotation marks. Requires a leading slash and trailing slash (e.g. /test/) User configurable from settings.cfg

Definition at line 230 of file frame_extraction.hpp.

◆ QHE_GB_KERNEL_X

int QHE_GB_KERNEL_X = 15

Gaussian Blur X kernel size for QHE Bigone. User configurable from settings.cfg

Definition at line 269 of file frame_extraction.hpp.

◆ QHE_GB_KERNEL_Y

int QHE_GB_KERNEL_Y = 15

Gaussian Blur Y kernel size for QHE Bigone. User configurable from settings.cfg

Definition at line 274 of file frame_extraction.hpp.

◆ QHE_GB_SIGMA_X

double QHE_GB_SIGMA_X = 1

Gaussian Blur sigma x value for QHE Bigone. User configurable from settings.cfg

Definition at line 279 of file frame_extraction.hpp.

◆ QHE_GB_SIGMA_Y

double QHE_GB_SIGMA_Y = 1

Gaussian Blur sigma y value for QHE Bigone. User configurable from settings.cfg

Definition at line 284 of file frame_extraction.hpp.

◆ QHE_WIDTH

int QHE_WIDTH = 10

Quiet Halo Elimination mask width. How many pixels around the moon halo can be ignored? User configurable from settings.cfg

Definition at line 240 of file frame_extraction.hpp.

◆ SIG_ALERT

int SIG_ALERT = 0

Magic number of the ctrl+c interrupt signal in Linux

Definition at line 75 of file frame_extraction.hpp.

◆ SIMP_ELL

bool SIMP_ELL = true

Should the program attempt to created a simplified file of frames where the edge is off screen? User configurable from settings.cfg

Definition at line 208 of file frame_extraction.hpp.

◆ T1_AT_BLOCKSIZE

int T1_AT_BLOCKSIZE = 65

Blocksize for adaptive threshold for Tier 1. User configurable from settings.cfg

Definition at line 297 of file frame_extraction.hpp.

◆ T1_AT_CONSTANT

double T1_AT_CONSTANT = 35

Subtracted constant for adaptive threshold for Tier 1. User configurable from settings.cfg

Definition at line 302 of file frame_extraction.hpp.

◆ T1_AT_MAX

double T1_AT_MAX = 255

Max value for adaptive threshold for Tier 1. User configurable from settings.cfg

Definition at line 292 of file frame_extraction.hpp.

◆ T1_DYMASK

int T1_DYMASK = 25

Width of the dynamic mask around the edge of the moon for Tier 1. User configurable from settings.cfg

Definition at line 307 of file frame_extraction.hpp.

◆ T2_AT_BLOCKSIZE

int T2_AT_BLOCKSIZE = 65

Blocksize for adaptive threshold for Tier 2. User configurable from settings.cfg

Definition at line 319 of file frame_extraction.hpp.

◆ T2_AT_CONSTANT

double T2_AT_CONSTANT = 20

Subtracted constant for adaptive threshold for Tier 2. User configurable from settings.cfg

Definition at line 324 of file frame_extraction.hpp.

◆ T2_AT_MAX

double T2_AT_MAX = 255

Max value for adaptive threshold for Tier 2. User configurable from settings.cfg

Definition at line 314 of file frame_extraction.hpp.

◆ T2_DYMASK

int T2_DYMASK = 25

Width of the dynamic mask around the edge of the moon for Tier 2. User configurable from settings.cfg

Definition at line 329 of file frame_extraction.hpp.

◆ T3_CUTOFF_THRESH

int T3_CUTOFF_THRESH = 40

Thresholding value unique to Tier 3. Removes items less than the threshold User configurable from settings.cfg

Definition at line 371 of file frame_extraction.hpp.

◆ T3_DYMASK

int T3_DYMASK = 45

Width of the dynamic mask application for Tier 3. User configurable from settings.cfg

Definition at line 376 of file frame_extraction.hpp.

◆ T3_GB_KERNEL_X

int T3_GB_KERNEL_X = 11

Gaussian Blur X kernel size for Tier 3. User configurable from settings.cfg

Definition at line 351 of file frame_extraction.hpp.

◆ T3_GB_KERNEL_Y

int T3_GB_KERNEL_Y = 11

Gaussian Blur Y kernel size for Tier 3. User configurable from settings.cfg

Definition at line 356 of file frame_extraction.hpp.

◆ T3_GB_SIGMA_X

double T3_GB_SIGMA_X = 1

Gaussian Blur sigma x value for Tier 3. User configurable from settings.cfg

Definition at line 361 of file frame_extraction.hpp.

◆ T3_GB_SIGMA_Y

double T3_GB_SIGMA_Y = 1

Gaussian Blur sigma y value for Tier 3. User configurable from settings.cfg

Definition at line 366 of file frame_extraction.hpp.

◆ T3_LAP_DELTA

double T3_LAP_DELTA = 0

Delta value of laplacian transform for Tier 3. User configurable from settings.cfg

Definition at line 346 of file frame_extraction.hpp.

◆ T3_LAP_KERNEL

int T3_LAP_KERNEL = 11

Kernel size of laplacian transform for Tier 3. User configurable from settings.cfg

Definition at line 336 of file frame_extraction.hpp.

◆ T3_LAP_SCALE

double T3_LAP_SCALE = 0.0001

Scaling value of laplacian transform for Tier 3. User configurable from settings.cfg

Definition at line 341 of file frame_extraction.hpp.

◆ T4_AT_BLOCKSIZE

int T4_AT_BLOCKSIZE = 65

Blocksize for adaptive threshold for Tier 4. User configurable from settings.cfg

Definition at line 388 of file frame_extraction.hpp.

◆ T4_AT_CONSTANT

double T4_AT_CONSTANT = 20

Subtracted constant for adaptive threshold for Tier 4. User configurable from settings.cfg

Definition at line 393 of file frame_extraction.hpp.

◆ T4_AT_MAX

double T4_AT_MAX = 255

Max value for adaptive threshold for Tier 4. User configurable from settings.cfg

Definition at line 383 of file frame_extraction.hpp.

◆ T4_DYMASK

int T4_DYMASK = 45

Width of the dynamic mask application for Tier 4. User configurable from settings.cfg

Definition at line 428 of file frame_extraction.hpp.

◆ T4_GB_KERNEL_X

int T4_GB_KERNEL_X = 11

Gaussian Blur X kernel size for Tier 4. User configurable from settings.cfg

Definition at line 403 of file frame_extraction.hpp.

◆ T4_GB_KERNEL_Y

int T4_GB_KERNEL_Y = 11

Gaussian Blur Y kernel size for Tier 4. User configurable from settings.cfg

Definition at line 408 of file frame_extraction.hpp.

◆ T4_GB_SIGMA_X

double T4_GB_SIGMA_X = 1

Gaussian Blur sigma x value for Tier 4. User configurable from settings.cfg

Definition at line 413 of file frame_extraction.hpp.

◆ T4_GB_SIGMA_Y

double T4_GB_SIGMA_Y = 1

Gaussian Blur sigma y value for Tier 4. User configurable from settings.cfg

Definition at line 418 of file frame_extraction.hpp.

◆ T4_POWER

double T4_POWER = 2

"UnCanny" script raises values to this power for Tier 4. User configurable from settings.cfg

Definition at line 398 of file frame_extraction.hpp.

◆ T4_THINNING

int T4_THINNING = 0

Contour Thinning type (see ximgproc::thinning) for Tier 4. User configurable from settings.cfg

Definition at line 423 of file frame_extraction.hpp.

◆ TC_H

int TC_H

Calculated height to use for tight cropping

Definition at line 150 of file frame_extraction.hpp.

◆ TC_W

int TC_W

Calcualted width to use for tight cropping

Definition at line 146 of file frame_extraction.hpp.

◆ TIER1FILE

std::string TIER1FILE

Holder for the location of the Tier 1 data output CSV

Definition at line 118 of file frame_extraction.hpp.

◆ TIER2FILE

std::string TIER2FILE

Holder for the location of the Tier 2 data output CSV

Definition at line 122 of file frame_extraction.hpp.

◆ TIER3FILE

std::string TIER3FILE

Holder for the location of the Tier 3 data output CSV

Definition at line 126 of file frame_extraction.hpp.

◆ TIER4FILE

std::string TIER4FILE

Holder for the location of the Tier 4 data output CSV

Definition at line 130 of file frame_extraction.hpp.

◆ TIGHT_CROP

bool TIGHT_CROP = true

Tight crop the output frames when generating the slideshow? This is ignored if OUTPUT_FRAMES = false User configurable from settings.cfg

Definition at line 219 of file frame_extraction.hpp.

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