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nohup_demo_image.txt
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nohup: ignoring input
layer filters size input output
0 conv 64 1 x 1 / 1 320 x 240 x 3 -> 320 x 240 x 64 0.029 BFLOPs
1 conv 32 1 x 1 / 1 320 x 240 x 64 -> 320 x 240 x 32 0.315 BFLOPs
2 conv 64 3 x 3 / 1 320 x 240 x 32 -> 320 x 240 x 64 2.831 BFLOPs
3 res 0 320 x 240 x 64 -> 320 x 240 x 64
4 conv 32 1 x 1 / 1 320 x 240 x 64 -> 320 x 240 x 32 0.315 BFLOPs
5 conv 64 3 x 3 / 1 320 x 240 x 32 -> 320 x 240 x 64 2.831 BFLOPs
6 res 3 320 x 240 x 64 -> 320 x 240 x 64
7 conv 128 3 x 3 / 2 320 x 240 x 64 -> 160 x 120 x 128 2.831 BFLOPs
8 conv 64 1 x 1 / 1 160 x 120 x 128 -> 160 x 120 x 64 0.315 BFLOPs
9 conv 128 3 x 3 / 1 160 x 120 x 64 -> 160 x 120 x 128 2.831 BFLOPs
10 res 7 160 x 120 x 128 -> 160 x 120 x 128
11 conv 64 1 x 1 / 1 160 x 120 x 128 -> 160 x 120 x 64 0.315 BFLOPs
12 conv 128 3 x 3 / 1 160 x 120 x 64 -> 160 x 120 x 128 2.831 BFLOPs
13 res 10 160 x 120 x 128 -> 160 x 120 x 128
14 conv 256 3 x 3 / 2 160 x 120 x 128 -> 80 x 60 x 256 2.831 BFLOPs
15 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
16 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
17 res 14 80 x 60 x 256 -> 80 x 60 x 256
18 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
19 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
20 res 17 80 x 60 x 256 -> 80 x 60 x 256
21 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
22 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
23 res 20 80 x 60 x 256 -> 80 x 60 x 256
24 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
25 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
26 res 23 80 x 60 x 256 -> 80 x 60 x 256
27 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
28 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
29 res 26 80 x 60 x 256 -> 80 x 60 x 256
30 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
31 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
32 res 29 80 x 60 x 256 -> 80 x 60 x 256
33 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
34 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
35 res 32 80 x 60 x 256 -> 80 x 60 x 256
36 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
37 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
38 res 35 80 x 60 x 256 -> 80 x 60 x 256
39 conv 512 3 x 3 / 2 80 x 60 x 256 -> 40 x 30 x 512 2.831 BFLOPs
40 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
41 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
42 res 39 40 x 30 x 512 -> 40 x 30 x 512
43 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
44 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
45 res 42 40 x 30 x 512 -> 40 x 30 x 512
46 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
47 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
48 res 45 40 x 30 x 512 -> 40 x 30 x 512
49 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
50 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
51 res 48 40 x 30 x 512 -> 40 x 30 x 512
52 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
53 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
54 res 51 40 x 30 x 512 -> 40 x 30 x 512
55 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
56 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
57 res 54 40 x 30 x 512 -> 40 x 30 x 512
58 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
59 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
60 res 57 40 x 30 x 512 -> 40 x 30 x 512
61 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
62 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
63 res 60 40 x 30 x 512 -> 40 x 30 x 512
64 conv 512 1 x 1 / 2 40 x 30 x 512 -> 20 x 15 x 512 0.157 BFLOPs
65 conv 512 1 x 1 / 1 20 x 15 x 512 -> 20 x 15 x 512 0.157 BFLOPs
66 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
67 res 64 20 x 15 x 512 -> 20 x 15 x1024
68 conv 512 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 512 0.315 BFLOPs
69 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
70 res 67 20 x 15 x1024 -> 20 x 15 x1024
71 conv 512 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 512 0.315 BFLOPs
72 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
73 res 70 20 x 15 x1024 -> 20 x 15 x1024
74 conv 512 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 512 0.315 BFLOPs
75 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
76 res 73 20 x 15 x1024 -> 20 x 15 x1024
77 conv 512 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 512 0.315 BFLOPs
78 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
79 conv 512 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 512 0.315 BFLOPs
80 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
81 conv 512 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 512 0.315 BFLOPs
82 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
83 conv 512 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 512 0.315 BFLOPs
84 conv 1024 3 x 3 / 1 20 x 15 x 512 -> 20 x 15 x1024 2.831 BFLOPs
85 conv 18 1 x 1 / 1 20 x 15 x1024 -> 20 x 15 x 18 0.011 BFLOPs
86 yolo
87 route 83
88 conv 256 1 x 1 / 1 20 x 15 x 512 -> 20 x 15 x 256 0.079 BFLOPs
89 upsample 2x 20 x 15 x 256 -> 40 x 30 x 256
90 route 89 63
91 conv 256 1 x 1 / 1 40 x 30 x 768 -> 40 x 30 x 256 0.472 BFLOPs
92 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
93 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
94 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
95 conv 256 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 256 0.315 BFLOPs
96 conv 512 3 x 3 / 1 40 x 30 x 256 -> 40 x 30 x 512 2.831 BFLOPs
97 conv 18 1 x 1 / 1 40 x 30 x 512 -> 40 x 30 x 18 0.022 BFLOPs
98 yolo
99 route 95
100 conv 128 1 x 1 / 1 40 x 30 x 256 -> 40 x 30 x 128 0.079 BFLOPs
101 upsample 2x 40 x 30 x 128 -> 80 x 60 x 128
102 route 101 38
103 conv 128 1 x 1 / 1 80 x 60 x 384 -> 80 x 60 x 128 0.472 BFLOPs
104 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
105 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
106 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
107 conv 128 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 128 0.315 BFLOPs
108 conv 256 3 x 3 / 1 80 x 60 x 128 -> 80 x 60 x 256 2.831 BFLOPs
109 conv 18 1 x 1 / 1 80 x 60 x 256 -> 80 x 60 x 18 0.044 BFLOPs
110 yolo
Loading weights from /data1000G/steven/backup/yolov3_1_cls_final.weights...Done!
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