Hello All,
I am trying to run my object detection training and I am getting this error:
Application exited with code 137 (OOMKilled)
I am assuming its because I am using too much ram as I’ve previously seen in other topics?
Any help would be greatly appreciated! Thanks!
Edit:
Ok I deleted like 400 pictures, hopefully its going to work now. At least I’m seeing it pass epochs now, before it just gave me:
Creating job… OK (ID: 2165071)
Copying features from processing blocks…
Job started
Copying features from DSP block…
Copying features from DSP block OK
Copying features from processing blocks OK
Job started
Splitting data into training and validation sets…
Splitting data into training and validation sets OK
Training model…
Training on 367 inputs, validating on 92 inputs
Building model and restoring weights for fine-tuning…
Finished restoring weights
Fine tuning…
Attached to job 2165071…
Attached to job 2165071…
Attached to job 2165071…
Attached to job 2165071…
Attached to job 2165071…
Attached to job 2165071…
Application exited with code 137 (OOMKilled)
Now I’m seeing the epochs crossing fingers
Have to present this tomorrow in front of my class . Sucks having to delete 400+ pictures
Still love edge impulse though, amazing.
Edit:
Now I’m receiving this message:
ERR: DeadlineExceeded - Job was active longer than specified deadline Try decreasing the number of windows or reducing the number of training cycles. If the error persists then you can contact support at hello@edgeimpulse.com to increase this time limit.
2nd Edit:
Ok, I had to do 10 Epochs with .01. 80/20 split but would time out or give me errors passed 10 epochs. We are making a chair occupancy system (kind of like a smart parking garage system, but, for chairs). We are students and we are trying to make it easier for students to find seating at school instead of walking around for 20+ minutes trying to find an open seat at our school.
If we could please get some increased time on our project or increased resources we WOULD HUGELY appreciate it. We are using a Jetson Nano 2GB and plan on adding additional features via python code to submit seating detections to our webserver so students could go to said website and see the seats, right now we are starting small (3 chairs) but eventually plan to scale this up if we have time/its possible. Thank you guys I hope someone reads this <3.