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?
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.
Thanks
Please refer to TAO Computer Vision Inference Pipeline | NVIDIA NGC
and then download and view below file.
wget --content-disposition ‘https://api.ngc.nvidia.com/v2/resources/nvidia/tao/tao_cv_inference_pipeline_quick_start/versions/v0.3-ga/files/scripts/tao_cv_compile.sh’
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