Quickstart Guide
Step 1: Install and Run PerceptiLabs
Free Version
1. Install a version of Python that meets our Python Requirements. Since multiple versions of Python and PerceptiLabs can be installed concurrently, we recommend you install them in a virtual Python environment such as:
The steps below show how to set up a simple Conda environment:
Open a terminal window.
Run:
conda create -n myenv python=3.8Run:
conda activate myenv
2. Run the following command to install PerceptiLabs:
pip install perceptilabs
Note
Alternatively you can install our latest nightly build of the CPU-only version with pip install pl-nightly. Note that the nightly build may not be as stable as the latest official release.
3. Run perceptilabs. The app will open in your default web browser.
Tip
If you're using Chrome, first ensure that hardware acceleration is enabled to ensure the best performance of PerceptiLabs on this browser.
To enable this, click on Chrome's triple-dot menu and select Settings. Then navigate to Advanced > System and enable Use hardware acceleration when available; you may need to relaunch your browser as well.
Step 2: Sign in
Free Version
Within PerceptiLabs, sign up for a free PerceptiLabs account and then sign in to start building your machine learning models with PerceptiLabs!
Note
The Kernel must be running in order to access PerceptiLabs and its sign-up screen
Step 3: Watch this video
Watch the following short video that shows how to create your first model from scratch:
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