Teach your own machine learning model! Click the Datacenter button and create classes. Take images or upload them from your computer. Train using the train button, and then and test your model using your live camera!
This website was built using Svelte, JavaScript, Tensorflow.JS, and Tailwind.CSS.
Developed By Sumanth Pandiri, IDEA Lab (formerly Clemson University, now Vanderbilt University).
To run this application locally, you will need to have the following installed on your machine:
- Node and NPM
- Git
Once Git is installed, you can clone this repository on your machine.
Using the Terminal or Command Prompt, navigate to the desired directory where you would like to clone the repository. Run the following command:
git clone https://github.com/IDEA-Lab-Clemson-University/IDEALabMLTool
This will create a new folder in your current working directory called IDEALabMLTool. Navigate into it by running cd IDEALabMLTool
Once in the IDEALabMLTool directory AND Node and npm are installed, run npm install to install the required dependencies. This may take a while if it is the first time running.
Once you have installed the dependencies, you can run npm run dev to start the development server. You should receive a message in the terminal once the server is up and running. You can then navigate to http://localhost:5173 in your browser to access the application.
When you are ready to close the application, you can CTRL+C in the terminal to stop the server. You can also just close the terminal window.
Those who wish to contribute to this project can do so in multiple ways
If you spot an issue while using/demoing the application, please create a new GitHub Issue describing the problem, where it was found, and what the expected behavior should be.
If you want to contribute code to this repository, please create a fork and branch from the development branch and submit a pull request.
To keep contributions clear, it is recommended to install psioniq File Header as an extension to VSCode. This will automatically add a comment to the top of any file you create with relevant information about the contributor. You should then go into /.vscode/settings.json and configure the psi-header.config object to represent your name, email and affiliation.
The main application lives in the src directory.