Step 1: Install NetsPresso GUI
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.
OS | Training Resource | Desktop Application |
---|---|---|
Linux | ✅ | ❌ |
Mac OS | ❌ | ✅ (Download) |
Windows | ❌ | ❌ |
NetsPresso Python Package: 1.13.2
NetsPresso GUI Installation
Install Docker Application
You need to install Docker first.
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.
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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)
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Install NetsPresso GUI application
NetsPresso Account
You need to create a NetsPresso account. Please use the click link to create your account (link).
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Server Setting
Once you have successfully installed and signed in to the NetsPresso GUI, set your server host to train your model.
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Updated about 2 months ago