Run Keras/Tensorflow model on Jetson Nano
How to Run
Require Python 3.5+ and Jupyter notebook installed
Clone or download this repo
git clone https://github.com/Tony607/tf_jetson_nano
Install required libraries for your development machine
pip3 install -r requirements.txt
A. The Keras Image classification model
How to run Keras model on Jetson Nano | DLology Blog
Step1: Convert Keras model into TensorRT model
On development machine or Google Colab
To run locally, start a terminal, then run,
jupyter notebook
In the opened browser window open
Step1_Colab_TensorRT.ipynb
Step2: Make prediction (On Jetson Nano)
To run notebook on Jetson Nano and make it accessible from another machine, in its terminal run,
jupyter notebook --ip=0.0.0.0
In another machine's browser, open the notebook,
http://<Jetson Nano's LAN IP address>:8888/notebooks/Step2_keras-jetson-ImageNet-predict.ipynb
B.Tensorflow object detection model
How to run TensorFlow Object Detection model on Jetson Nano | DLology Blog
Step1: Convert Tensorflow object detection model into TensorRT model
On development machine or Google Colab Notebook
To run locally, start a terminal, then run,
jupyter notebook
In the opened browser window open
Step1_Object_detection_Colab_TensorRT.ipynb
Step2: Make prediction (On Jetson Nano)
To run notebook on Jetson Nano and make it accessible from another machine, in its terminal run,
jupyter notebook --ip=0.0.0.0
In another machine's browser, open the notebook,
http://<Jetson Nano's LAN IP address>:8888/notebooks/Step2_jetson-object-detection-predict.ipynb