I trained Object Detection Network with Kitti object dataset using DIGITS according to https://github.com/NVIDIA/DIGITS/tree/digits-4.0/examples/object-detection. I copied the trained model (i.e. deploy.prototxt, mean.binaryproto, snapshot_iter_?.caffemodel) to Jetson TX1. On Jestson TX1, I modified jetson-inference/detectnet-console/detectnet-console.cpp to create detectNet with the trained model. In other words, I modified like detectNet* net = detectNet::Create(“deploy.prototxt”, “sanpshot_iter_?.caffemodel”, “mean.binaryproto”) around Line 42.
When I ran detectnet-console, I encountered an error message, “could not parse layer type Pyton” and “[GIE] failed to parse caffe network”.
I’ve used DIGITS 4.0.0, Caffe 0.15.13 and installed JetPack-L4T-2.3.1-linux-64.run. Any comment would be appreciated.