Comments (3)
I haven't run it on Jetson Nano, but on Jetson Nano, I would recommend using the TensorRT framework for inference. If you want to use ONNX Runtime on that device, maybe you can provide the current error you are encountering?
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it seems cuda 10.2 in jetson nano is not compatible with Onnxruntime 1.10+ (GPU not available)
from yolo-nas-onnxruntime.
I think you can try the version 1.6.0 of Onnxruntime.
from yolo-nas-onnxruntime.
Related Issues (9)
- Is compatible with latest onnxruntime (1.15.0) ? HOT 3
- No instance of overloaded function "std::vector<_Ty, _Alloc>::push_back [with _Ty=Ort::Float16_t, _Alloc=std::allocator<Ort::Float16_t>]" matches the argument list HOT 2
- C# version HOT 6
- How to run inference with ONNX uint8 model?
- doesnt work on custom dataset HOT 9
- When I try to run the code, I get always Ort::exception even running on image or video HOT 1
- Help me with implementing this project. HOT 8
- About model chooses HOT 1
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