void inter_dcgan(char *cfgfile, char *weightfile)
{
network *net = load_network(cfgfile, weightfile, 0);
set_batch_network(net, 1);
srand(2222222);
clock_t time;
char buff[256];
char *input = buff;
int i, imlayer = 0;
for (i = 0; i < net->n; ++i) {
if (net->layers[i].out_c == 3) {
imlayer = i;
printf("%d\n", i);
break;
}
}
image start = random_unit_vector_image(net->w, net->h, net->c);
image end = random_unit_vector_image(net->w, net->h, net->c);
image im = make_image(net->w, net->h, net->c);
image orig = copy_image(start);
int c = 0;
int count = 0;
int max_count = 15;
while(1){
++c;
if(count == max_count){
count = 0;
free_image(start);
start = end;
end = random_unit_vector_image(net->w, net->h, net->c);
if(c > 300){
end = orig;
}
if(c>300 + max_count) return;
}
++count;
slerp(start.data, end.data, (float)count / max_count, im.w*im.h*im.c, im.data);
float *X = im.data;
time=clock();
network_predict(net, X);
image out = get_network_image_layer(net, imlayer);
//yuv_to_rgb(out);
normalize_image(out);
printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
//char buff[256];
sprintf(buff, "out%05d", c);
save_image(out, "out");
save_image(out, buff);
show_image(out, "out", 0);
}
}
float * grass_texture(int width, int height) {
float * noise = (float *) malloc(sizeof(float) * width * height);
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
noise[x * width + y] = perlin_noise((x + 0.3)/63.2f, (y + 0.7)/63.8f, 0.8, 8);
}
}
normalize_image(noise, width, height);
return noise;
}
void InvBox::solve_1D_and_transpose(float *dst, float *src, size_t w, size_t h,
float *GECoeff, float *invDiag)
{
// considering the border
normalize_image(dst, src, w, h);
// dst = integral(src)
build_integral_image(dst, w, h);
// src = box integrated image (calculated from intrgral image and original image)
apply_box_filter(src, src, dst, w, h);
// apply G.E. to src
GE(src, w, h, GECoeff, invDiag);
// dst = transpose(src)
transpose(dst, src, w, h);
}
image *get_weights(convolutional_layer l)
{
image *weights = calloc(l.n, sizeof(image));
int i;
for(i = 0; i < l.n; ++i){
weights[i] = copy_image(get_convolutional_weight(l, i));
normalize_image(weights[i]);
/*
char buff[256];
sprintf(buff, "filter%d", i);
save_image(weights[i], buff);
*/
}
//error("hey");
return weights;
}
void show_images(image *ims, int n, char *window)
{
image m = collapse_images_vert(ims, n);
/*
int w = 448;
int h = ((float)m.h/m.w) * 448;
if(h > 896){
h = 896;
w = ((float)m.w/m.h) * 896;
}
image sized = resize_image(m, w, h);
*/
normalize_image(m);
image sized = resize_image(m, m.w, m.h);
save_image(sized, window);
show_image(sized, window);
free_image(sized);
free_image(m);
}
void test_dcgan(char *cfgfile, char *weightfile)
{
network *net = load_network(cfgfile, weightfile, 0);
set_batch_network(net, 1);
srand(2222222);
clock_t time;
char buff[256];
char *input = buff;
int i, imlayer = 0;
for (i = 0; i < net->n; ++i) {
if (net->layers[i].out_c == 3) {
imlayer = i;
printf("%d\n", i);
break;
}
}
while(1){
image im = make_image(net->w, net->h, net->c);
int i;
for(i = 0; i < im.w*im.h*im.c; ++i){
im.data[i] = rand_normal();
}
float *X = im.data;
time=clock();
network_predict(net, X);
image out = get_network_image_layer(net, imlayer);
//yuv_to_rgb(out);
normalize_image(out);
printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
show_image(out, "out");
save_image(out, "out");
#ifdef OPENCV
cvWaitKey(0);
#endif
free_image(im);
}
}
void test_dcgan(char *cfgfile, char *weightfile)
{
network *net = load_network(cfgfile, weightfile, 0);
set_batch_network(net, 1);
srand(2222222);
clock_t time;
char buff[256];
char *input = buff;
int imlayer = 0;
imlayer = net->n-1;
while(1){
image im = make_image(net->w, net->h, net->c);
int i;
for(i = 0; i < im.w*im.h*im.c; ++i){
im.data[i] = rand_normal();
}
//float mag = mag_array(im.data, im.w*im.h*im.c);
//scale_array(im.data, im.w*im.h*im.c, 1./mag);
float *X = im.data;
time=clock();
network_predict(net, X);
image out = get_network_image_layer(net, imlayer);
//yuv_to_rgb(out);
normalize_image(out);
printf("%s: Predicted in %f seconds.\n", input, sec(clock()-time));
save_image(out, "out");
show_image(out, "out", 0);
free_image(im);
}
free_network(net);
}
