darknet  v3
Functions
nightmare.c File Reference
#include "darknet.h"
#include <math.h>
Include dependency graph for nightmare.c:

Go to the source code of this file.

Functions

float abs_mean (float *x, int n)
 
void calculate_loss (float *output, float *delta, int n, float thresh)
 
void optimize_picture (network *net, image orig, int max_layer, float scale, float rate, float thresh, int norm)
 
void smooth (image recon, image update, float lambda, int num)
 
void reconstruct_picture (network *net, float *features, image recon, image update, float rate, float momentum, float lambda, int smooth_size, int iters)
 
void run_nightmare (int argc, char **argv)
 

Function Documentation

◆ abs_mean()

float abs_mean ( float *  x,
int  n 
)

Definition at line 7 of file nightmare.c.

◆ calculate_loss()

void calculate_loss ( float *  output,
float *  delta,
int  n,
float  thresh 
)

Definition at line 17 of file nightmare.c.

◆ optimize_picture()

void optimize_picture ( network net,
image  orig,
int  max_layer,
float  scale,
float  rate,
float  thresh,
int  norm 
)

Definition at line 28 of file nightmare.c.

◆ reconstruct_picture()

void reconstruct_picture ( network net,
float *  features,
image  recon,
image  update,
float  rate,
float  momentum,
float  lambda,
int  smooth_size,
int  iters 
)

Definition at line 135 of file nightmare.c.

◆ run_nightmare()

void run_nightmare ( int  argc,
char **  argv 
)

Definition at line 288 of file nightmare.c.

◆ smooth()

void smooth ( image  recon,
image  update,
float  lambda,
int  num 
)

Definition at line 114 of file nightmare.c.