Good morning,
I have got problem with preparing the ".rt" file for custom trained darknet Yolo4tiny network.
The error is:
Reading weights: I=512 O=256 KERNEL=1x1x1
Reading weights: I=256 O=512 KERNEL=3x3x1
Reading weights: I=512 O=255 KERNEL=1x1x1
Error reading file yolo4tiny/layers/c29.bin with n of float: 130560 seek: 0 size: 522240
/home/adams/Develop/darknetNew/tkDNN/src/utils.cpp:58
Aborting...
I have downloaded hipert fork of darknet and trained my network with it. When used with darknet, it's working just fine. Exporting layers also works without any problem, the only issue what I meet is when using "test_yolo4tiny" program. When exporting layers, i'm using the same cfg file used for the training.
The only things that i've changed is: classes, filters, max_batches and steps -> adjusted it, so the network trained on my own dataset will detect only two classes. As I said before, it's working just fine, when used with darknet, but I want to speed it up using tkdnn.
I have also tried exporting layers from coco trained yolo4tiny from the link in manual. It worked, the rt file generated.
Good morning, I have got problem with preparing the ".rt" file for custom trained darknet Yolo4tiny network. The error is:
I have downloaded hipert fork of darknet and trained my network with it. When used with darknet, it's working just fine. Exporting layers also works without any problem, the only issue what I meet is when using "test_yolo4tiny" program. When exporting layers, i'm using the same cfg file used for the training.
My config:
The only things that i've changed is: classes, filters, max_batches and steps -> adjusted it, so the network trained on my own dataset will detect only two classes. As I said before, it's working just fine, when used with darknet, but I want to speed it up using tkdnn.
I have also tried exporting layers from coco trained yolo4tiny from the link in manual. It worked, the rt file generated.