Object detection

Have anybody run successful a object detection on the Jeston TK1?
I try to run py-faster-rcnn but when i try to run it on the tk1 i get errors. On my PC it works fine.
I now the performance is not good on the tk1 but 1 FPS is enough for my work.

Thanks for help.
have a nice day and greetz from germany.
Torben

Hi,

It’s not recommended to use TK1 for deep learning use case.
The GPU is too old and lots of libraries didn’t support it since 32-bit system.

Please buy a newer Jetson to unblock your issue.
Thanks.

I’ve successfully ported darknet to tk1 which allows me to run YOLO3 on it. I can achieve 5fps using yolo3-tiny at 320x320 resolution which is sufficient for face detection.
My branch of darknet for tk1 is here: https://github.com/dtmoodie/darknet/tree/tk1

Nice! Thanks for sharing!

My branch of darknet for tk1 is here: https://github.com/dtmoodie/darknet/tree/tk1
I got an exception
make: *** No rule to make target obj/gemm.o', needed by libdarknet.so’. Stop.

Can you check if there are any .o files in obj and verify that src/gemm.c exists? This is very strange.

Thank you for your reply. I have successfully rebuild the project.
But when I have executed the command from tk1 branch:
./darknet detect cfg/yolov3.cfg /media/cluster_files/dev/weights/yolov3.weights data/dog.jpg
I have got only “asdf1” message. So the program has not found anything on the image

Hello, I believe I’ve fixed the problem and you should be able to run object detection models trained on x86_64 systems correctly on the tk1.