Hi everyone! Ive never posted here so plz forgive me for having broken any rules.
I am currently working on a face recognition project using a face detector called FaceBoxes:
After 7 days of torturous installation I finally got tensorflow 2.x to work but when I tried to run the detector I get:
And then the system just FREEZES and after a few minutes I get “Killed” on the Terminal.
I considered the possibility of running out of memory and created a 2GB swap but that didn’t work either.
I ran the SSD Object Detector on TensorRT which seemed to work fine but this model on Tensorflow didnt work. As I understand this detector is not VERY heavy but for some reason its possibly taking up alot of RAM?
I am very new on working with Jetson Nano and also have little ML/DL experience. Any guidance on this would be extremely helpful. Thank You!
I would just like to add that I am NOT PERFORMING ANY TRAINING … JUST INFERENCE.
These are the lines of code for detector:
MODEL_PATH = ‘/model.pb’
face_detector = FaceDetector(MODEL_PATH, gpu_memory_fraction=0.75, visible_device_list=‘0’)