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it's raining really hard outside :-( :rain: :storm: ☁️

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This commit is contained in:
Joseph Redmon
2017-10-17 11:41:34 -07:00
parent 532c6e1481
commit cd5d393b46
27 changed files with 1340 additions and 1669 deletions
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46
examples/nightmare.c
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@ -49,14 +49,14 @@ void optimize_picture(network *net, image orig, int max_layer, float scale, floa
net->delta_gpu = cuda_make_array(delta.data, im.w*im.h*im.c);
cuda_push_array(net->input_gpu, im.data, net->inputs);
forward_network_gpu(*net);
forward_network_gpu(net);
copy_gpu(last.outputs, last.output_gpu, 1, last.delta_gpu, 1);
cuda_pull_array(last.delta_gpu, last.delta, last.outputs);
calculate_loss(last.delta, last.delta, last.outputs, thresh);
cuda_push_array(last.delta_gpu, last.delta, last.outputs);
backward_network_gpu(*net);
backward_network_gpu(net);
cuda_pull_array(net->delta_gpu, delta.data, im.w*im.h*im.c);
cuda_free(net->delta_gpu);
@ -64,10 +64,10 @@ void optimize_picture(network *net, image orig, int max_layer, float scale, floa
#else
net->input = im.data;
net->delta = delta.data;
forward_network(*net);
forward_network(net);
copy_cpu(last.outputs, last.output, 1, last.delta, 1);
calculate_loss(last.output, last.delta, last.outputs, thresh);
backward_network(*net);
backward_network(net);
#endif
if(flip) flip_image(delta);
@ -127,7 +127,7 @@ 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 reconstruct_picture(network *net, float *features, image recon, image update, float rate, float momentum, float lambda, int smooth_size, int iters)
{
int iter = 0;
for (iter = 0; iter < iters; ++iter) {
@ -135,22 +135,22 @@ void reconstruct_picture(network net, float *features, image recon, image update
#ifdef GPU
layer l = get_network_output_layer(net);
cuda_push_array(net.input_gpu, recon.data, recon.w*recon.h*recon.c);
//cuda_push_array(net.truth_gpu, features, net.truths);
net.delta_gpu = cuda_make_array(delta.data, delta.w*delta.h*delta.c);
cuda_push_array(net->input_gpu, recon.data, recon.w*recon.h*recon.c);
//cuda_push_array(net->truth_gpu, features, net->truths);
net->delta_gpu = cuda_make_array(delta.data, delta.w*delta.h*delta.c);
forward_network_gpu(net);
cuda_push_array(l.delta_gpu, features, l.outputs);
axpy_gpu(l.outputs, -1, l.output_gpu, 1, l.delta_gpu, 1);
backward_network_gpu(net);
cuda_pull_array(net.delta_gpu, delta.data, delta.w*delta.h*delta.c);
cuda_pull_array(net->delta_gpu, delta.data, delta.w*delta.h*delta.c);
cuda_free(net.delta_gpu);
cuda_free(net->delta_gpu);
#else
net.input = recon.data;
net.delta = delta.data;
net.truth = features;
net->input = recon.data;
net->delta = delta.data;
net->truth = features;
forward_network(net);
backward_network(net);
@ -206,7 +206,7 @@ void run_lsd(int argc, char **argv)
float *features = 0;
image update;
if (reconstruct){
im = letterbox_image(im, net.w, net.h);
im = letterbox_image(im, net->w, net->h);
int zz = 0;
network_predict(net, im.data);
@ -308,12 +308,12 @@ void run_nightmare(int argc, char **argv)
int reconstruct = find_arg(argc, argv, "-reconstruct");
int smooth_size = find_int_arg(argc, argv, "-smooth", 1);
network net = parse_network_cfg(cfg);
load_weights(&net, weights);
network *net = parse_network_cfg(cfg);
load_weights(net, weights);
char *cfgbase = basecfg(cfg);
char *imbase = basecfg(input);
set_batch_network(&net, 1);
set_batch_network(net, 1);
image im = load_image_color(input, 0, 0);
if(0){
float scale = 1;
@ -325,19 +325,19 @@ void run_nightmare(int argc, char **argv)
free_image(im);
im = resized;
}
//im = letterbox_image(im, net.w, net.h);
//im = letterbox_image(im, net->w, net->h);
float *features = 0;
image update;
if (reconstruct){
net.n = max_layer;
im = letterbox_image(im, net.w, net.h);
net->n = max_layer;
im = letterbox_image(im, net->w, net->h);
//resize_network(&net, im.w, im.h);
network_predict(net, im.data);
if(net.layers[net.n-1].type == REGION){
if(net->layers[net->n-1].type == REGION){
printf("region!\n");
zero_objectness(net.layers[net.n-1]);
zero_objectness(net->layers[net->n-1]);
}
image out_im = copy_image(get_network_image(net));
/*
@ -379,7 +379,7 @@ void run_nightmare(int argc, char **argv)
}else{
int layer = max_layer + rand()%range - range/2;
int octave = rand()%octaves;
optimize_picture(&net, im, layer, 1/pow(1.33333333, octave), rate, thresh, norm);
optimize_picture(net, im, layer, 1/pow(1.33333333, octave), rate, thresh, norm);
}
}
fprintf(stderr, "done\n");