PerceptiLabs
v0.11
v0.11v0.12v0.13
v0.11
v0.11v0.12v0.13
  • Welcome
  • Getting Started
    • Quickstart Guide
    • Requirements
    • Video Tutorials
  • References
    • UI Overview
      • Model Hub
      • Modeling Tool
      • Statistics View
      • Test View
    • Components
      • Data
      • Processing
      • Deep Learning
      • Operations
      • Training
      • Custom
    • Advanced topics
      • How PerceptiLabs Works With TensorFlow
      • Supported Data Files
      • Setting up OpenAI Gym Environments for Reinforcement Learning
      • Python Environment
      • Jupyter Notebooks
      • Included Packages
      • Exporting
      • Debugging Models
  • Use Cases
    • Self-Driving Cars Using Nvidia PilotNet
    • Using a ResNet to Detect Anomalies in Textiles
    • Using a U-Net to Enhance Dark Photos
  • Tutorials
    • Basic Image Recognition
    • Convolution Tutorial
    • Coral Sign Language Tutorial
    • GAN Tutorial
  • Support
    • FAQs
    • Changelog
  • Code of Conduct
  • Marketing Site
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  • Step 1: Install and Run PerceptiLabs
  • Free Version
  • Step 2: Sign in
  • Free Version
  • Step 3: Watch this video

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  1. Getting Started

Quickstart Guide

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Last updated 2 years ago

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Step 1: Install and Run PerceptiLabs

Free Version

1. Install a version of Python that meets our . Since multiple versions of Python and PerceptiLabs can be installed concurrently, we recommend you install them in a virtual Python environment as described .

2. Run one of the following:

CPU-only Version:

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.

GPU Version

pip install perceptilabs-gpu

Tip

Check out this topic for information on setting up the GPU version in Anaconda to simplify installation.

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:

Python Requirements
here
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