Open anan91 opened 4 years ago
The same error,do you fix it?
You may check the txts in your labels folder.
@CaptainWuDaoKou My txt file is normal.
One of my label *.txt file is below
3 0.45564516129032256 0.4640820980615735 0.31129032258064515 0.6043329532497149
And train.txt is :
/home/jn/darknet/build/darknet/x64/data/obj/331.png
/home/jn/darknet/build/darknet/x64/data/obj/EC_669.png
@CaptainWuDaoKou My txt file is normal. One of my label *.txt file is below
3 0.45564516129032256 0.4640820980615735 0.31129032258064515 0.6043329532497149
And train.txt is :/home/jn/darknet/build/darknet/x64/data/obj/331.png /home/jn/darknet/build/darknet/x64/data/obj/EC_669.png
In that case, your problem is different from mine
The same error,do you fix it?
This problem is caused by multi-GPU training,like that I use three.when l use one GPU to train yolov4,that error will not arise.so far l don't know why?@AlexeyAB
hi, AlexeyAB The training output is normal with yolov4 at first,Training for a period of time, the output is all 0 like that v3 (iou loss, Normalizer: (iou: 0.07, cls: 1.00) Region 139 Avg (IOU: 0.000000, GIOU: -0.000000), Class: 0.000000, Obj: 0.000000, No Obj: 0.000000, .5R: 0.000000, .75R: 0.000000, count: 15, class_loss = 15.000001, iou_loss = 0.000003, total_loss = 15.000004 . However,with the same data set, I trained with yolov3 and everything worked fine,I figured out why?