How to find the input name of EmotionNet?

i tried to convert EmotionNet(EmotionNet | NVIDIA NGC) toTensorRT from model.etlt

./tlt_converter model.etlt -k nvidia_tlt -p input,1x1x136x1,1x1x136x1,1x1x136x1

the input name is wrong, how can I find the correct input name?

Please refer to below.

tao-converter model.etlt
-k nvidia_tlt
-t fp32
-p input_landmarks:0,1x1x136x1,1x1x136x1,2x1x136x1
-e model.engine

the question is, how did you find that?

There is no update from you for a period, assuming this is not an issue anymore.
Hence we are closing this topic. If need further support, please open a new one.

Please refer to TAO Computer Vision Inference Pipeline | NVIDIA NGC

and then download and view below file.
wget --content-disposition ‘

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