./darknet classifier predict classify/classify.data classify/darknet19.cfg darknet19_46000.weights dog.jpg
OUTPUT
GPU isn't used
OpenCV version: 3.2.0
mini_batch = 1, batch = 1, time_steps = 1, train = 0
layer filters size/strd(dil) input output
0 conv 32 3 x 3/ 1 224 x 224 x 3 -> 224 x 224 x 32 0.087 BF
1 max 2x 2/ 2 224 x 224 x 32 -> 112 x 112 x 32 0.002 BF
2 conv 64 3 x 3/ 1 112 x 112 x 32 -> 112 x 112 x 64 0.462 BF
3 max 2x 2/ 2 112 x 112 x 64 -> 56 x 56 x 64 0.001 BF
4 conv 128 3 x 3/ 1 56 x 56 x 64 -> 56 x 56 x 128 0.462 BF
5 conv 64 1 x 1/ 1 56 x 56 x 128 -> 56 x 56 x 64 0.051 BF
6 conv 128 3 x 3/ 1 56 x 56 x 64 -> 56 x 56 x 128 0.462 BF
7 max 2x 2/ 2 56 x 56 x 128 -> 28 x 28 x 128 0.000 BF
8 conv 256 3 x 3/ 1 28 x 28 x 128 -> 28 x 28 x 256 0.462 BF
9 conv 128 1 x 1/ 1 28 x 28 x 256 -> 28 x 28 x 128 0.051 BF
10 conv 256 3 x 3/ 1 28 x 28 x 128 -> 28 x 28 x 256 0.462 BF
11 max 2x 2/ 2 28 x 28 x 256 -> 14 x 14 x 256 0.000 BF
12 conv 512 3 x 3/ 1 14 x 14 x 256 -> 14 x 14 x 512 0.462 BF
13 conv 256 1 x 1/ 1 14 x 14 x 512 -> 14 x 14 x 256 0.051 BF
14 conv 512 3 x 3/ 1 14 x 14 x 256 -> 14 x 14 x 512 0.462 BF
15 conv 256 1 x 1/ 1 14 x 14 x 512 -> 14 x 14 x 256 0.051 BF
16 conv 512 3 x 3/ 1 14 x 14 x 256 -> 14 x 14 x 512 0.462 BF
17 max 2x 2/ 2 14 x 14 x 512 -> 7 x 7 x 512 0.000 BF
18 conv 1024 3 x 3/ 1 7 x 7 x 512 -> 7 x 7 x1024 0.462 BF
19 conv 512 1 x 1/ 1 7 x 7 x1024 -> 7 x 7 x 512 0.051 BF
20 conv 1024 3 x 3/ 1 7 x 7 x 512 -> 7 x 7 x1024 0.462 BF
21 conv 512 1 x 1/ 1 7 x 7 x1024 -> 7 x 7 x 512 0.051 BF
22 conv 1024 3 x 3/ 1 7 x 7 x 512 -> 7 x 7 x1024 0.462 BF
23 conv 2 1 x 1/ 1 7 x 7 x1024 -> 7 x 7 x 2 0.000 BF
24 avg 7 x 7 x 2 -> 2
25 softmax 2
Unused field: 'classes = 2'
26 cost 2
Total BFLOPS 5.485
avg_outputs = 211746
Loading weights from darknet19_46000.weights...
seen 64, trained: 1472 K-images (23 Kilo-batches_64)
Done! Loaded 27 layers from weights-file
classes = 2, output in cfg = 0
top: Using default '1'
224 224
dog1.jpg: Predicted in 889.085000 milli-seconds.
dog: 0.999985