Matterport3DSimulator

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Matterport3DSimulator is an AI research platform that enables reinforcement learning from real panoramic images. It allows AI agents to interact with 3D environments using visual information.

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Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Matterport3DSimulator?

Matterport3DSimulator is an AI research platform designed for deep reinforcement learning, computer vision, natural language processing, and robotics. It allows AI agents to interact with real 3D environments using visual information derived from panoramic RGB-D images. The simulator is based on the Matterport3D dataset, featuring 90 diverse indoor environments. Key capabilities include outputting real RGB and depth images, customizable image resolution and camera parameters, and support for off-screen rendering. It offers both C++ and Python APIs and is highly efficient, capable of around 1000 fps RGB-D off-screen rendering. The platform also includes the Room-to-Room (R2R) navigation dataset and task for training agents to follow natural language instructions.

Best used for

Ideal for developers and data scientists who need to train AI agents in realistic 3D environments, conduct research in deep reinforcement learning, and develop solutions for computer vision and robotics. Especially valuable for simulating navigation tasks using real panoramic images and integrating with natural language processing.

Common actions

simulate 3D environments

train AI agents

conduct reinforcement learning

research computer vision

develop robotics

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Capabilities

Key features

Real RGB-D image output
Customizable camera parameters
C++ and Python APIs
Off-screen rendering
Room-to-Room navigation task
Dockerized for easy setup

Target Audience

developerdata scientistprofessorstudent

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of environments are available in the Matterport3D Simulator?

The simulator is based on the Matterport3D dataset, which includes 90 different indoor environments. These environments range from homes and offices to churches and hotels, providing a diverse and realistic set of spaces for AI agent training and research.

Does the simulator support both RGB and depth image outputs?

Yes, the Matterport3D Simulator outputs both RGB and depth images. These images are real, not synthetic, offering high visual complexity. Depth outputs require precomputing depth skybox images from the undistorted_depth_images of the Matterport3D dataset.

What are the recommended system requirements for running the simulator?

The recommended setup involves an Nvidia GPU with driver >= 396.37, Docker, and nvidia-docker2.0. The simulator is dockerized for easier installation, and CUDA/CuDNN toolkits are provided within the Docker image, simplifying dependency management.

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Content & Design › 3D & Animation AI Agents & Automation › AI Frameworks & Infra

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