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:

• pipenv

• poetry

• venv

• virtualenv

• conda

The steps below show how to set up a simple Conda environment:

1. Download Anaconda and install it

2. Open a terminal window.

3. Run: conda create -n myenv python=3.8

4. Run: 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: