i trained my custom model and when i run same on jetson nano board i get low memory problem and after that i got error in programme .
Hi @rajdalsaniya1995, did you train your model on a PC/server and are now trying to train it on Nano? Or had you trained it on Nano, and are now trying to run the inferencing?
Which model and program are you trying to run?
You could try mounting SWAP memory, and if necessary disabling the desktop GUI:
Or if you want to keep GUI, you could install LXDE desktop to save memory:
I am using Tensorflow object detection model and model is ssd mobile net . I train model with help of google co lab and now want to run on jetson nano.