Mmcv

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MMCV is an OpenMMLab computer vision foundation library that provides common functionalities for computer vision research and development. It supports image/video processing, visualization, and various CNN architectures.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is mmcv?

MMCV is a foundational library developed by OpenMMLab for computer vision research, offering a comprehensive suite of functionalities. It supports various tasks including image and video processing, image and annotation visualization, and image transformation. The library also provides high-quality implementations of common CPU and CUDA operations, making it suitable for developing and deploying deep learning models. MMCV is compatible with Linux, Windows, and macOS, and requires Python 3.7+. It offers two versions: `mmcv` for full features with CUDA ops, and `mmcv-lite` for a lighter version without CUDA ops, catering to different development needs.

Best used for

Ideal for developers and data scientists who need to implement and accelerate computer vision tasks, visualize image data, and integrate various CNN architectures. Especially valuable for researchers and practitioners working with deep learning models in computer vision.

Common actions

process images

process videos

visualize data

implement CNNs

accelerate computer vision

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Capabilities

Key features

Image/video processing
Image/annotation visualization
Image transformation
CNN architectures
CPU/CUDA ops

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the difference between mmcv and mmcv-lite?

MMCV is the comprehensive version, including full features and various CUDA operations out of the box, which takes longer to build. MMCV-lite is a lighter version without CUDA operations but retains all other features, similar to mmcv<1.0.0, useful when CUDA ops are not required.

What are the system requirements for MMCV?

MMCV supports Linux, Windows, and macOS operating systems. It requires Python 3.7 or higher. For Apple Silicon users, PyTorch 1.13+ is recommended for installation. Ensure PyTorch is installed before installing MMCV.

How does MMCV relate to MMEngine?

MMEngine is a newer generation training engine released by OpenMMLab, designed as a foundational library for training deep learning models. While MMCV focuses on computer vision functionalities, MMEngine provides a more universal runner and a unified, customizable training process.

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