fcakyon/mmcv

Analysis updated 2026-07-17 · repo last pushed 2021-12-27

★ 1Audience · researcherComplexity · 3/5DormantLicenseSetup · moderate

Mindmap

mindmap
  root((mmcv))
    What it does
      Image and video processing
      Visualization tools
      Training hooks
      CUDA GPU operations
    Tech stack
      Python
      PyTorch
      CUDA
    Use cases
      Build object detection
      Foundation for OpenMMLab
      Pose and text recognition
    Audience
      ML researchers
      Computer vision engineers
    Setup
      Full GPU version
      Lite version

mindmap root((mmcv)) What it does Image and video processing Visualization tools Training hooks CUDA GPU operations Tech stack Python PyTorch CUDA Use cases Build object detection Foundation for OpenMMLab Pose and text recognition Audience ML researchers Computer vision engineers Setup Full GPU version Lite version

What do people build with it?

USE CASE 1

Use shared file I/O, image, and video processing utilities instead of writing them from scratch.

USE CASE 2

Build computer vision applications like object detection, pose estimation, or text recognition on a common foundation.

USE CASE 3

Visualize model outputs by overlaying annotations on images.

USE CASE 4

Train neural networks using MMCV's hooks system and optimized CUDA operations.

What is it built with?

PythonPyTorchCUDA

How does it compare?

	fcakyon/mmcv	0xallam/posthog	0xallam/search-engine
Stars	1	1	1
Language	—	Python	C++
Last pushed	2021-12-27	2026-03-26	2023-08-23
Maintenance	Dormant	Maintained	Dormant
Setup difficulty	moderate	moderate	hard
Complexity	3/5	3/5	3/5
Audience	researcher	pm founder	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Full version requires matching CUDA and PyTorch versions and GPU hardware for best performance.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

Copy-paste prompts

Prompt 1

Show me how to install MMCV's full version matched to my CUDA and PyTorch versions.

Prompt 2

Explain the difference between MMCV's full and lite installation options.

Prompt 3

Help me use MMCV's visualization tools to overlay annotations on an image.

Prompt 4

Walk me through using MMCV as the foundation for an OpenMMLab object detection project.

Frequently asked questions

What is mmcv?

A foundational toolkit of shared utilities for computer vision projects, handling image/video processing, visualization, and GPU-optimized operations.

Is mmcv actively maintained?

Dormant — no commits in 2+ years (last push 2021-12-27).

What license does mmcv use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is mmcv to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is mmcv for?

Mainly researcher.

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