How to Use Rerun

Register for an Account

To initiate your journey with Rerun, the first step is to visit the Rerun website. Click on the prominent 'Sign Up' button located at the top right corner of the homepage. You will be directed to a registration form where you need to provide your basic details, including your name, email address, and a securely crafted password. It is crucial to create a password that is not only strong but also unique, to ensure the security of your account and sensitive data.

Once you fill in these details, submit the form to complete your registration process. An email will be sent to your registered address providing a link for email verification.

Verify Your Email

After registering, head over to your email inbox and look for the verification email from Rerun. Make sure to check your spam or junk folders if you do not see it in your main inbox. Click on the verification link contained within the email; this step is vital as it confirms your email address and activates your account. Without completing this verification, you will not be able to access all features of the platform.

Set Up Your Profile

With your account verified, log in to the Rerun platform. Navigate to your profile settings, often found in the top-right corner under your account icon. Here, you can add additional information about yourself, such as your job role, company name, and a brief biography. This personalization will help tailor your experience on the platform and may enhance community interaction if you choose to connect with others.

Explore Key Features

Once your profile is set up, take some time to familiarize yourself with the core features offered by Rerun. On the dashboard, you will find sections that cover essential functionalities such as data ingestion, visualization, querying, and transformation. Each feature is designed to be user-friendly, facilitating an efficient workflow for robotics learning. Whether you're a beginner or an experienced user, navigating through different functionalities will enhance your understanding of the platform.

Ingest Data

Ingesting your robotics logs is a straightforward process. Click on the 'Ingest' option from your dashboard. You will be prompted to upload your data files, which can be in various formats. Rerun supports multi-format data ingestion, accommodating diverse types of robotics data. Once uploaded, the platform will begin indexing your data, making it ready for rapid access. This step is critical as it allows you to leverage Rerun’s capabilities effectively in your projects.

Visualize Your Data

Upon successful data ingestion, you can begin visualizing your data. Navigate to the 'Visualize' feature, where a suite of tools awaits to help you explore your datasets. Rerun offers customizable visualizations that enable you to build, evaluate, and even debug your data interactively. It's important to manipulate and view your data in various formats to glean insights effectively and recognize patterns that might be integral to your robotics learning journey.

Query Your Data

Another pivotal feature is the ability to query your data. Rerun equips you with powerful querying capabilities that allow you to run fast dataframe queries optimized specifically for robotics data. Such queries are essential in uncovering insights swiftly, enabling data-driven decisions in your projects. Learn how to craft effective queries to maximize the potential of your datasets.

Transform Your Data

For those looking to prepare their data for machine learning or other advanced uses, Rerun offers transformation tools that streamline the process. Navigate to the 'Transform' option, where you can leverage simple pipelines to convert your logs into training-ready data. This process is crucial, as it ensures that your data is not just raw information but is instead refined for analysis and application in robotics learning.

Share Insights

Finally, Rerun encourages collaboration through its sharing capabilities. By managing and sharing your visualizations and generated insights, you can work together with your team or even share your findings with the broader community. This collaborative environment enhances the learning experience, allowing users to benefit from collective insights and enhance their projects as a result. Always consider sharing key findings to assist others in their robotics learning journey.