I do not have powerful host or cannot use AWS DIGITS…
So I think I have to train object detection model on Jetson TX2.
According to my previous question and answers (https://devtalk.nvidia.com/default/topic/1022718/jetson-tx2/create-object-detection-model-without-digits-/),
I may need to do
build/tools/caffe train \ -solver examples/kitti/detectnet_solver.prototxt \ -weights models/bvlc_googlenet/bvlc_googlenet.caffemodel \ $@
I also downloaded
But it did not work maybe because of training data.
examples/kitti/detectnet_solver.prototxt seems to require
but they do not exist.
I do not know how they look like.
So would you please provide some sample data or let me know how can I prepare those data?
I looked at http://caffe.berkeleyvision.org/tutorial/layers.html#data-layers, however, I have no idea how to prepare training data for object detection model (something like bounding boxes…).