(ykw) MacdeMacBook-Air:darknet mac$ ./darknet detector train /Users/mac/Desktop/DOTA_YOLOv2-master/cfg/dota.data /Users/mac/Desktop/DOTA_YOLOv2-master/cfg/yolo-dota.cfg /Users/mac/Desktop/DOTA_YOLOv2-master/darknet19_448.conv.23 | tee bod-dota.txt
layer filters size input output
0 conv 32 3 x 3 / 1 1024 x1024 x 3 -> 1024 x1024 x 32 1.812 BFLOPs
1 max 2 x 2 / 2 1024 x1024 x 32 -> 512 x 512 x 32
2 conv 64 3 x 3 / 1 512 x 512 x 32 -> 512 x 512 x 64 9.664 BFLOPs
3 max 2 x 2 / 2 512 x 512 x 64 -> 256 x 256 x 64
4 conv 128 3 x 3 / 1 256 x 256 x 64 -> 256 x 256 x 128 9.664 BFLOPs
5 conv 64 1 x 1 / 1 256 x 256 x 128 -> 256 x 256 x 64 1.074 BFLOPs
6 conv 128 3 x 3 / 1 256 x 256 x 64 -> 256 x 256 x 128 9.664 BFLOPs
7 max 2 x 2 / 2 256 x 256 x 128 -> 128 x 128 x 128
8 conv 256 3 x 3 / 1 128 x 128 x 128 -> 128 x 128 x 256 9.664 BFLOPs
9 conv 128 1 x 1 / 1 128 x 128 x 256 -> 128 x 128 x 128 1.074 BFLOPs
10 conv 256 3 x 3 / 1 128 x 128 x 128 -> 128 x 128 x 256 9.664 BFLOPs
11 max 2 x 2 / 2 128 x 128 x 256 -> 64 x 64 x 256
12 conv 512 3 x 3 / 1 64 x 64 x 256 -> 64 x 64 x 512 9.664 BFLOPs
13 conv 256 1 x 1 / 1 64 x 64 x 512 -> 64 x 64 x 256 1.074 BFLOPs
14 conv 512 3 x 3 / 1 64 x 64 x 256 -> 64 x 64 x 512 9.664 BFLOPs
15 conv 256 1 x 1 / 1 64 x 64 x 512 -> 64 x 64 x 256 1.074 BFLOPs
16 conv 512 3 x 3 / 1 64 x 64 x 256 -> 64 x 64 x 512 9.664 BFLOPs
17 max 2 x 2 / 2 64 x 64 x 512 -> 32 x 32 x 512
18 conv 1024 3 x 3 / 1 32 x 32 x 512 -> 32 x 32 x1024 9.664 BFLOPs
19 conv 512 1 x 1 / 1 32 x 32 x1024 -> 32 x 32 x 512 1.074 BFLOPs
20 conv 1024 3 x 3 / 1 32 x 32 x 512 -> 32 x 32 x1024 9.664 BFLOPs
21 conv 512 1 x 1 / 1 32 x 32 x1024 -> 32 x 32 x 512 1.074 BFLOPs
22 conv 1024 3 x 3 / 1 32 x 32 x 512 -> 32 x 32 x1024 9.664 BFLOPs
23 conv 1024 3 x 3 / 1 32 x 32 x1024 -> 32 x 32 x1024 19.327 BFLOPs
24 conv 1024 3 x 3 / 1 32 x 32 x1024 -> 32 x 32 x1024 19.327 BFLOPs
25 route 16
26 reorg / 2 64 x 64 x 512 -> 32 x 32 x2048
27 route 26 24
28 conv 1024 3 x 3 / 1 32 x 32 x3072 -> 32 x 32 x1024 57.982 BFLOPs
29 conv 100 1 x 1 / 1 32 x 32 x1024 -> 32 x 32 x 100 0.210 BFLOPs
30 detection
mask_scale: Using default '1.000000'
Loading weights from /Users/mac/Desktop/DOTA_YOLOv2-master/darknet19_448.conv.23...yolo-dota
Done!
(ykw) MacdeMacBook-Air:darknet mac$ ./darknet detector train /Users/mac/Desktop/DOTA_YOLOv2-master/cfg/dota.data /Users/mac/Desktop/DOTA_YOLOv2-master/cfg/yolo-dota.cfg /Users/mac/Desktop/DOTA_YOLOv2-master/darknet19_448.conv.23 | tee bod-dota.txt layer filters size input output 0 conv 32 3 x 3 / 1 1024 x1024 x 3 -> 1024 x1024 x 32 1.812 BFLOPs 1 max 2 x 2 / 2 1024 x1024 x 32 -> 512 x 512 x 32 2 conv 64 3 x 3 / 1 512 x 512 x 32 -> 512 x 512 x 64 9.664 BFLOPs 3 max 2 x 2 / 2 512 x 512 x 64 -> 256 x 256 x 64 4 conv 128 3 x 3 / 1 256 x 256 x 64 -> 256 x 256 x 128 9.664 BFLOPs 5 conv 64 1 x 1 / 1 256 x 256 x 128 -> 256 x 256 x 64 1.074 BFLOPs 6 conv 128 3 x 3 / 1 256 x 256 x 64 -> 256 x 256 x 128 9.664 BFLOPs 7 max 2 x 2 / 2 256 x 256 x 128 -> 128 x 128 x 128 8 conv 256 3 x 3 / 1 128 x 128 x 128 -> 128 x 128 x 256 9.664 BFLOPs 9 conv 128 1 x 1 / 1 128 x 128 x 256 -> 128 x 128 x 128 1.074 BFLOPs 10 conv 256 3 x 3 / 1 128 x 128 x 128 -> 128 x 128 x 256 9.664 BFLOPs 11 max 2 x 2 / 2 128 x 128 x 256 -> 64 x 64 x 256 12 conv 512 3 x 3 / 1 64 x 64 x 256 -> 64 x 64 x 512 9.664 BFLOPs 13 conv 256 1 x 1 / 1 64 x 64 x 512 -> 64 x 64 x 256 1.074 BFLOPs 14 conv 512 3 x 3 / 1 64 x 64 x 256 -> 64 x 64 x 512 9.664 BFLOPs 15 conv 256 1 x 1 / 1 64 x 64 x 512 -> 64 x 64 x 256 1.074 BFLOPs 16 conv 512 3 x 3 / 1 64 x 64 x 256 -> 64 x 64 x 512 9.664 BFLOPs 17 max 2 x 2 / 2 64 x 64 x 512 -> 32 x 32 x 512 18 conv 1024 3 x 3 / 1 32 x 32 x 512 -> 32 x 32 x1024 9.664 BFLOPs 19 conv 512 1 x 1 / 1 32 x 32 x1024 -> 32 x 32 x 512 1.074 BFLOPs 20 conv 1024 3 x 3 / 1 32 x 32 x 512 -> 32 x 32 x1024 9.664 BFLOPs 21 conv 512 1 x 1 / 1 32 x 32 x1024 -> 32 x 32 x 512 1.074 BFLOPs 22 conv 1024 3 x 3 / 1 32 x 32 x 512 -> 32 x 32 x1024 9.664 BFLOPs 23 conv 1024 3 x 3 / 1 32 x 32 x1024 -> 32 x 32 x1024 19.327 BFLOPs 24 conv 1024 3 x 3 / 1 32 x 32 x1024 -> 32 x 32 x1024 19.327 BFLOPs 25 route 16 26 reorg / 2 64 x 64 x 512 -> 32 x 32 x2048 27 route 26 24 28 conv 1024 3 x 3 / 1 32 x 32 x3072 -> 32 x 32 x1024 57.982 BFLOPs 29 conv 100 1 x 1 / 1 32 x 32 x1024 -> 32 x 32 x 100 0.210 BFLOPs 30 detection mask_scale: Using default '1.000000' Loading weights from /Users/mac/Desktop/DOTA_YOLOv2-master/darknet19_448.conv.23...yolo-dota Done!