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fixes to image

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This commit is contained in:
Joseph Redmon 2015-09-22 23:29:03 -07:00
parent a9e16d914a
commit 55fbdd1007
3 changed files with 31 additions and 25 deletions
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2
cfg/writing.cfg
View File

@ -4,7 +4,7 @@ subdivisions=2
height=256
width=256
channels=3
learning_rate=0.0000001
learning_rate=0.000001
momentum=0.9
decay=0.0005
seen=0

4
src/image.c
View File

@ -499,7 +499,7 @@ image threshold_image(image im, float thresh)
int i;
image t = make_image(im.w, im.h, im.c);
for(i = 0; i < im.w*im.h*im.c; ++i){
t.data[i] = im.data[i]>0 ? 1 : 0;
t.data[i] = im.data[i]>thresh ? 1 : 0;
}
return t;
}
@ -622,7 +622,7 @@ image resize_image(image im, int w, int h)
float val = (1-dy) * get_pixel(part, c, iy, k);
set_pixel(resized, c, r, k, val);
}
if(r == h-1) continue;
if(r == h-1 || im.h == 1) continue;
for(c = 0; c < w; ++c){
float val = dy * get_pixel(part, c, iy+1, k);
add_pixel(resized, c, r, k, val);

50
src/writing.c
View File

@ -69,13 +69,18 @@ void train_writing(char *cfgfile, char *weightfile)
if(avg_loss == -1) avg_loss = loss;
avg_loss = avg_loss*.9 + loss*.1;
printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %d images\n", get_current_batch(net), (float)(*net.seen)/N, loss, avg_loss, get_current_rate(net), sec(clock()-time), *net.seen);
free_data(train);
if(*net.seen/N > epoch){
epoch = *net.seen/N;
char buff[256];
sprintf(buff, "%s/%s_%d.weights",backup_directory,base, epoch);
save_weights(net, buff);
}
free_data(train);
if(get_current_batch(net)%100 == 0){
char buff[256];
sprintf(buff, "%s/%s_batch_%d.weights", backup_directory, base, get_current_batch(net));
save_weights(net, buff);
}
if(*net.seen/N > epoch){
epoch = *net.seen/N;
char buff[256];
sprintf(buff, "%s/%s_%d.weights",backup_directory,base, epoch);
save_weights(net, buff);
}
}
}
@ -102,7 +107,7 @@ void test_writing(char *cfgfile, char *weightfile, char *outfile)
printf("%s: Predicted in %f seconds.\n", filename, sec(clock()-time));
image pred = get_network_image(net);
image t = threshold_image(pred, .2);
image t = threshold_image(pred, .5);
free_image(pred);
pred = t;
@ -110,28 +115,29 @@ void test_writing(char *cfgfile, char *weightfile, char *outfile)
printf("Save image as %s.png (shape: %d %d)\n", outfile, pred.w, pred.h);
save_image(pred, outfile);
} else {
show_image(sized, "orig");
show_image(pred, "prediction");
#ifdef OPENCV
cvWaitKey(0);
cvDestroyAllWindows();
cvWaitKey(0);
cvDestroyAllWindows();
#endif
}
}
free_image(im);
free_image(sized);
free_image(im);
free_image(sized);
}
void run_writing(int argc, char **argv)
{
if(argc < 4){
fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
return;
}
if(argc < 4){
fprintf(stderr, "usage: %s %s [train/test/valid] [cfg] [weights (optional)]\n", argv[0], argv[1]);
return;
}
char *cfg = argv[3];
char *weights = (argc > 4) ? argv[4] : 0;
char *outfile = (argc > 5) ? argv[5] : 0;
if(0==strcmp(argv[2], "train")) train_writing(cfg, weights);
else if(0==strcmp(argv[2], "test")) test_writing(cfg, weights, outfile);
char *cfg = argv[3];
char *weights = (argc > 4) ? argv[4] : 0;
char *outfile = (argc > 5) ? argv[5] : 0;
if(0==strcmp(argv[2], "train")) train_writing(cfg, weights);
else if(0==strcmp(argv[2], "test")) test_writing(cfg, weights, outfile);
}