I need “Hello AI World” to work on JP6.2 to get the latest tools and MAXN Super. I did make good progress on JP6.2!
First, Torch and Torchvision successfully installed using pip wheels from Yolo Prep. See section “YoloV11 using Pytorch”, go to step #2, download and install the wheels. Afterwards. I also had to run the following commands in python3 to resolve a numpy compatibility issue:
pip uninstall numpy
pip install "numpy<2"
Secondly, the segmentation fault error occurring with ONNX networks and TensorRT 10+ has been repaired, thanks to @ligaz. Although Caffe networks are no longer supported in TRT10+, ONNX models should be supported. It’s a matter of updating the “tensorNet.cpp” file in your “~/jetson-inference/c” directory with this one: tensorNet.cpp. Then rebuild the project starting with the steps under “Configuring with CMake”.
Again, only the ONNX networks are supported. So the “imagenet” classification code works greate with the “resnet18-tagging-voc” model, but don’t try the other models because they are Caffe-based. Also, “posenet” works great with all the provided models because they are ONNX-based.
Unfortunately, none of the “object detection” models work - all Caffe-based. Anyone have ONNX versions compatible with the “Hello AI World” “detectnet” project?