layer filters size input output
0 conv 32 3 x 3 / 1 608 x 608 x 3 -> 608 x 608 x 32
1 max 2 x 2 / 2 608 x 608 x 32 -> 304 x 304 x 32
2 conv 64 3 x 3 / 1 304 x 304 x 32 -> 304 x 304 x 64
3 max 2 x 2 / 2 304 x 304 x 64 -> 152 x 152 x 64
4 conv 128 3 x 3 / 1 152 x 152 x 64 -> 152 x 152 x 128
5 conv 64 1 x 1 / 1 152 x 152 x 128 -> 152 x 152 x 64
6 conv 128 3 x 3 / 1 152 x 152 x 64 -> 152 x 152 x 128
7 max 2 x 2 / 2 152 x 152 x 128 -> 76 x 76 x 128
8 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256
9 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128
10 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256
11 max 2 x 2 / 2 76 x 76 x 256 -> 38 x 38 x 256
12 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512
13 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256
14 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512
15 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256
16 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512
17 max 2 x 2 / 2 38 x 38 x 512 -> 19 x 19 x 512
18 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024
19 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512
20 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024
21 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512
22 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024
23 conv 1024 3 x 3 / 1 19 x 19 x1024 -> 19 x 19 x1024
24 conv 1024 3 x 3 / 1 19 x 19 x1024 -> 19 x 19 x1024
25 route 16
26 conv 64 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 64
27 reorg / 2 38 x 38 x 64 -> 19 x 19 x 256
28 route 27 24
29 conv 1024 3 x 3 / 1 19 x 19 x1280 -> 19 x 19 x1024
30 conv 425 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 425
31 detection
mask_scale: Using default '1.000000'
Loading weights from yolo.weights...Done!
Killed
layer filters size input output 0 conv 32 3 x 3 / 1 608 x 608 x 3 -> 608 x 608 x 32 1 max 2 x 2 / 2 608 x 608 x 32 -> 304 x 304 x 32 2 conv 64 3 x 3 / 1 304 x 304 x 32 -> 304 x 304 x 64 3 max 2 x 2 / 2 304 x 304 x 64 -> 152 x 152 x 64 4 conv 128 3 x 3 / 1 152 x 152 x 64 -> 152 x 152 x 128 5 conv 64 1 x 1 / 1 152 x 152 x 128 -> 152 x 152 x 64 6 conv 128 3 x 3 / 1 152 x 152 x 64 -> 152 x 152 x 128 7 max 2 x 2 / 2 152 x 152 x 128 -> 76 x 76 x 128 8 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 9 conv 128 1 x 1 / 1 76 x 76 x 256 -> 76 x 76 x 128 10 conv 256 3 x 3 / 1 76 x 76 x 128 -> 76 x 76 x 256 11 max 2 x 2 / 2 76 x 76 x 256 -> 38 x 38 x 256 12 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 13 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 14 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 15 conv 256 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 256 16 conv 512 3 x 3 / 1 38 x 38 x 256 -> 38 x 38 x 512 17 max 2 x 2 / 2 38 x 38 x 512 -> 19 x 19 x 512 18 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 19 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 20 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 21 conv 512 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 512 22 conv 1024 3 x 3 / 1 19 x 19 x 512 -> 19 x 19 x1024 23 conv 1024 3 x 3 / 1 19 x 19 x1024 -> 19 x 19 x1024 24 conv 1024 3 x 3 / 1 19 x 19 x1024 -> 19 x 19 x1024 25 route 16 26 conv 64 1 x 1 / 1 38 x 38 x 512 -> 38 x 38 x 64 27 reorg / 2 38 x 38 x 64 -> 19 x 19 x 256 28 route 27 24 29 conv 1024 3 x 3 / 1 19 x 19 x1280 -> 19 x 19 x1024 30 conv 425 1 x 1 / 1 19 x 19 x1024 -> 19 x 19 x 425 31 detection mask_scale: Using default '1.000000' Loading weights from yolo.weights...Done! Killed
when i run it ,it said "killed"......why?