Unsupported ONNX data type: UINT8 (2)

Folowing the tutorial from the notebook https://github.com/onnx/tensorflow-onnx/blob/master/tutorials/ConvertingSSDMobilenetToONNX.ipynb I am trying to work with a mobilenetv2 and v3 frozen models from tensorflow frozen_inference_graph.pb or a saved_model.pb to convert to ONNX and to TensorRT files.
Under NGC dockers 20.01-tf1-py3 and 19.05-py3 I am using both this and tensorflow-onnx projects.
I alwaysget different issues, the furthest I got was under 20.01-tf1-py3 with both onnx-tensorrt and tensorflow-onnx on master branchs and install the projects from source.
I was able to create the .onnx file, but when I try to create the .trt file I get the following.

onnx2trt /media/bnascimento/project/frozen_inference_graph.onnx -o /media/bnascimento/project/frozen_inference_graph.trt
----------------------------------------------------------------
Input filename:   /media/bnascimento/project/frozen_inference_graph.onnx
ONNX IR version:  0.0.6
Opset version:    10
Producer name:    tf2onnx
Producer version: 1.6.0
Domain:           
Model version:    0
Doc string:       
----------------------------------------------------------------
Parsing model
Unsupported ONNX data type: UINT8 (2)
ERROR: image_tensor:0:190 In function importInput:
[8] Assertion failed: convertDtype(onnxDtype.elem_type(), &trtDtype)

I suspect this has to do with the input tensor for the image, but I dont know how to avoid this issue. Anyone with similar issues before?

Cheers
Bruno

I think you have to covnert the UINT8 to float first

Hi,

Please refer to this similar topic:

Thanks