Description
I need ResNet50 without top_layer to only feature extraction purpose. I create ResNet50 model (include_top=false) in keras and then export it to ONNX format. All steps are done regards to this tutorial Nvidia TensorRT Notebook
Then I move model to the Jetson Nano and do the engine creation:
/usr/src/tensorrt/bin/trtexec --onnx=/home/jetson/model/resnet50_without_top.onnx --saveEngine=/home/jetson/model/resnet_engine.trt --explicitBatch --workspace=1024`
but when I do the prediction on jetson nano I get different result then from PC version.
Environment
TensorRT Version:
Jetson Version: nvidia-jetpack Version: 4.4-b144
Operating System + Version: Jetson and Fedora on PC
Python Version (if applicable): 3.7
TensorFlow Version (if applicable): keras