Darknet Yolo v1 GPU training not getting any result
I am trying to use darknet yolov1 to train a single class object detection. However, when I tried to train, the CPU works but slow, GPU give a result as follow:
layer filters size input output
0 conv 64 7 x 7 / 2 448 x 448 x 3 > 224 x 224 x 64
1 max 2 x 2 / 2 224 x 224 x 64 > 112 x 112 x 64
2 conv 192 3 x 3 / 1 112 x 112 x 64 > 112 x 112 x 192
3 max 2 x 2 / 2 112 x 112 x 192 > 56 x 56 x 192
4 conv 128 1 x 1 / 1 56 x 56 x 192 > 56 x 56 x 128
5 conv 256 3 x 3 / 1 56 x 56 x 128 > 56 x 56 x 256
6 conv 256 1 x 1 / 1 56 x 56 x 256 > 56 x 56 x 256
7 conv 512 3 x 3 / 1 56 x 56 x 256 > 56 x 56 x 512
8 max 2 x 2 / 2 56 x 56 x 512 > 28 x 28 x 512
9 conv 256 1 x 1 / 1 28 x 28 x 512 > 28 x 28 x 256
10 conv 512 3 x 3 / 1 28 x 28 x 256 > 28 x 28 x 512
11 conv 256 1 x 1 / 1 28 x 28 x 512 > 28 x 28 x 256
12 conv 512 3 x 3 / 1 28 x 28 x 256 > 28 x 28 x 512
13 conv 256 1 x 1 / 1 28 x 28 x 512 > 28 x 28 x 256
14 conv 512 3 x 3 / 1 28 x 28 x 256 > 28 x 28 x 512
15 conv 256 1 x 1 / 1 28 x 28 x 512 > 28 x 28 x 256
16 conv 512 3 x 3 / 1 28 x 28 x 256 > 28 x 28 x 512
17 conv 512 1 x 1 / 1 28 x 28 x 512 > 28 x 28 x 512
18 conv 1024 3 x 3 / 1 28 x 28 x 512 > 28 x 28 x1024
19 max 2 x 2 / 2 28 x 28 x1024 > 14 x 14 x1024
20 conv 512 1 x 1 / 1 14 x 14 x1024 > 14 x 14 x 512
21 conv 1024 3 x 3 / 1 14 x 14 x 512 > 14 x 14 x1024
22 conv 512 1 x 1 / 1 14 x 14 x1024 > 14 x 14 x 512
23 conv 1024 3 x 3 / 1 14 x 14 x 512 > 14 x 14 x1024
24 conv 1024 3 x 3 / 1 14 x 14 x1024 > 14 x 14 x1024
25 conv 1024 3 x 3 / 2 14 x 14 x1024 > 7 x 7 x1024
26 conv 1024 3 x 3 / 1 7 x 7 x1024 > 7 x 7 x1024
27 conv 1024 3 x 3 / 1 7 x 7 x1024 > 7 x 7 x1024
28 Local Layer: 7 x 7 x 1024 image, 256 filters > 7 x 7 x 256 image
29 dropout p = 0.50 12544 > 12544
30 connected 12544 > 784
31 Detection Layer
forced: Using default '0'
Loading weights from darknet.conv.weights...Done!
Learning Rate: 0.0005, Momentum: 0.9, Decay: 0.0005
Loaded: 1.446220 seconds
Detection Avg IOU: 0.000000, Pos Cat: 0.000000, All Cat: 0.000000, Pos Obj: 0.000000, Any Obj: 0.000000, count: 18
Detection Avg IOU: 0.000000, Pos Cat: 0.000000, All Cat: 0.000000, Pos Obj: 0.000000, Any Obj: 0.000000, count: 19
Detection Avg IOU: 0.000000, Pos Cat: 0.000000, All Cat: 0.000000, Pos Obj: 0.000000, Any Obj: 0.000000, count: 19
Detection Avg IOU: 0.000000, Pos Cat: 0.000000, All Cat: 0.000000, Pos Obj: 0.000000, Any Obj: 0.000000, count: 18
1: 27.096424, 27.096424 avg, 0.000500 rate, 9.151883 seconds, 64 images
Loaded: 0.000042 seconds
Does anyone know why does this happen?The GPU training does not seems to have any result.
1 answer

Problem solved. I revert the darknet version to Nov 22, 2016 version of pjreddie/darknet and it is able to train with GPU