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Fixed network resizing (random=1) for non-square networks

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This commit is contained in:
AlexeyAB
2018-05-14 12:20:38 +03:00
parent cda8171feb
commit 3ebcc647b6
4 changed files with 34 additions and 12 deletions
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21
src/detector.c
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@ -66,6 +66,11 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
srand(time(0));
network net = nets[0];
if ((net.batch * net.subdivisions) == 1) {
printf("\n Error: You set incorrect value batch=1 for Training! You should set batch=64 subdivision=64 \n");
getchar();
}
int imgs = net.batch * net.subdivisions * ngpus;
printf("Learning Rate: %g, Momentum: %g, Decay: %g\n", net.learning_rate, net.momentum, net.decay);
data train, buffer;
@ -121,12 +126,16 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
while(get_current_batch(net) < net.max_batches){
if(l.random && count++%10 == 0){
printf("Resizing\n");
int dim = (rand() % 12 + (init_w/32 - 5)) * 32; // +-160
//if (get_current_batch(net)+100 > net.max_batches) dim = 544;
//int dim = (rand() % 12 + (init_w/32 - 5)) * 32; // +-160
//int dim = (rand() % 4 + 16) * 32;
printf("%d\n", dim);
args.w = dim;
args.h = dim;
//if (get_current_batch(net)+100 > net.max_batches) dim = 544;
int random_val = rand() % 12;
int dim_w = (random_val + (init_w / 32 - 5)) * 32; // +-160
int dim_h = (random_val + (init_h / 32 - 5)) * 32; // +-160
printf("%d x %d \n", dim_w, dim_h);
args.w = dim_w;
args.h = dim_h;
pthread_join(load_thread, 0);
train = buffer;
@ -134,7 +143,7 @@ void train_detector(char *datacfg, char *cfgfile, char *weightfile, int *gpus, i
load_thread = load_data(args);
for(i = 0; i < ngpus; ++i){
resize_network(nets + i, dim, dim);
resize_network(nets + i, dim_w, dim_h);
}
net = nets[0];
}