Hello,
I am attempting to follow the instructions in Object Detection With The ONNX TensorRT Backend In Python (https://docs.nvidia.com/deeplearning/sdk/tensorrt-sample-support-guide/index.html#yolov3_onnx) in a container from TensorRT docker image pulled using
docker pull nvcr.io/nvidia/tensorrt:19.06-py3
I got the below error when trying to run
python yolov3_to_onnx.py
Traceback (most recent call last):
File "yolov3_to_onnx.py", line 812, in <module>
main()
File "yolov3_to_onnx.py", line 805, in main
onnx.checker.check_model(yolov3_model_def)
File "/usr/local/lib/python2.7/dist-packages/onnx/checker.py", line 86, in check_model
C.check_model(model.SerializeToString())
onnx.onnx_cpp2py_export.checker.ValidationError: Op registered for Upsample is depracted in domain_version of 10
==> Context: Bad node spec: input: "085_convolutional_lrelu" input: "086_upsample_scale" output: "086_upsample" name: "086_upsample" op_type: "Upsample" attribute { name: "mode" s: "nearest" type: STRING }
Anyone have any clues?
Thank you in advance for the help