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Fixed yolov3-tiny_xnor.cfg

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AlexeyAB
2018-08-24 18:29:40 +03:00
parent 08285dbc84
commit 18d5e4f39c
3 changed files with 3 additions and 3 deletions
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1
build/darknet/x64/cfg/yolov3-tiny_xnor.cfg
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@ -120,7 +120,6 @@ pad=1
activation=leaky activation=leaky
[convolutional] [convolutional]
xnor=1
batch_normalize=1 batch_normalize=1
filters=512 filters=512
size=3 size=3

1
cfg/yolov3-tiny_xnor.cfg
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@ -120,7 +120,6 @@ pad=1
activation=leaky activation=leaky
[convolutional] [convolutional]
xnor=1
batch_normalize=1 batch_normalize=1
filters=512 filters=512
size=3 size=3

4
src/convolutional_layer.c
View File

@ -404,7 +404,9 @@ convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int
//fprintf(stderr, "conv %5d %2d x%2d /%2d %4d x%4d x%4d -> %4d x%4d x%4d\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c); //fprintf(stderr, "conv %5d %2d x%2d /%2d %4d x%4d x%4d -> %4d x%4d x%4d\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c);
l.bflops = (2.0 * l.n * l.size*l.size*l.c * l.out_h*l.out_w) / 1000000000.; l.bflops = (2.0 * l.n * l.size*l.size*l.c * l.out_h*l.out_w) / 1000000000.;
fprintf(stderr, "conv %5d %2d x%2d /%2d %4d x%4d x%4d -> %4d x%4d x%4d %5.3f BF\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c, l.bflops); if (l.xnor) fprintf(stderr, "convX ");
else fprintf(stderr, "conv ");
fprintf(stderr, "%5d %2d x%2d /%2d %4d x%4d x%4d -> %4d x%4d x%4d %5.3f BF\n", n, size, size, stride, w, h, c, l.out_w, l.out_h, l.out_c, l.bflops);
return l; return l;
} }