Step 1: Install NetsPresso GUI

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Download link

You can download the NetsPresso GUI from the following link: Download the NetsPresso GUI.

Please note that while the NetsPresso GUI can be installed on various systems, the training process must be run on a GPU server compatible with Linux.

Install the NetsPresso GUI to enhance your training and optimization process more efficiently 🎉.

Software Requirements

OS

The supported operating systems are listed below. Please ensure you install the NetsPresso Docker image on your GPU server first to build a model.

NetsPresso Python Package: 1.13.2

NetsPresso GUI Installation

Install Docker Application

You need to install Docker first.

• Linux (link)
• Mac (link)
• Windows (link)

Install Docker Image (CPU Mac only)

docker run -it -d --ipc=host --name on-prem-tester -p 7999:7998 notadevteam/on-prem-jupyter:0.5

Install Docker Image (Linux)

docker run -it -d --ipc=host --gpus all --name on-prem-tester -p 7999:7998 notadevteam/on-prem-jupyter:0.5

Once the pull is complete, it means the Jupyter Server has been successfully installed on your computer. You can then launch the GUI client to connect to the server.

You should see that a project folder has been created in the specified directory at 'http://localhost:7999' or compatible server IP. The sample dataset folder is pre-installed for easy model training.

The list of sample datasets are as follows:

• Image Classification - Cifar100 (link)
• Object Detection - Traffic Sign
• Semantic Segmentation - VOC2012 (link)

Install NetsPresso GUI application

NetsPresso Account

You need to create a NetsPresso account. Please use the click link to create your account (link).

Server Setting

Once you have successfully installed and signed in to the NetsPresso GUI, set your server host to train your model.