Hi @dusty_nv ,
We have trained the custom semantic segmenation model referring the repo with deeplab v3_resnet101 architecture and converted the .pth model to .onnx model.
But when running the .onnx model with segnet on Jetson, we are getting error
failed to parse the onnx model and not able to do inference.
However when we tried the custom trained with fcn_resnet34 architecture we were able to do inference with segnet on Jetson.
Can you let us know the cause of this error? And also, can you clarify whether there are any limitations on architecture while using Segnet? E.g.
does it only support fcn_resnet family and not deeplabv3_resnet family on Jetson?
Jetson Xavier NX (Developer kit version):
TensorRT version - 126.96.36.199 with cuda10.2
Please let us know if you need more information.