Hello,

Thank you for your good writing.

$ python train.py --config-file configs/lp_faster_rcnn_R_50_FPN_3x.yaml --num-gpus 2
I don't think num-gpus means the number of CUDA cores, does it mean the number of physical graphics cards?

I don't know what exactly it means.

I use jetson xavier nx and the specs are as follows:

In case of xavier nx, how should I set num-gpus?

Starting training from iteration 0
/home/hodu/.local/lib/python3.6/site-packages/detectron2/modeling/roi_heads/fast_rcnn.py:217: UserWarning: This overload of nonzero is deprecated:
nonzero()
Consider using one of the following signatures instead:
nonzero(*, bool as_tuple) (Triggered internally at ../torch/csrc/utils/python_arg_parser.cpp:882.)
num_fg = fg_inds.nonzero().numel()
Killed
hodu@hodu-desktop:~/coding/GitHub/detectron2-licenseplates$ python3 train.py --config-file configs/lp_faster_rcnn_R_50_FPN_3x.yaml --num-gpus 1

As above, I started with num-gpus given 1, and it ended with the message'Killed'.

How do I get it to work? I would appreciate it if you could give me directions.

Thank you.

@jagin Thank you for your hard work,

• Upload a pretrained model so that i can test.
• An option to predict all the images in an input folder.
• icdar 2015 as input for dataset training.
  x1, y1, x2, y2, x3, y3, x4, y4, annotation