# 0voice/ffmpeg_develop_doc

2023年，最新音视频学习资料整理，项目（调试可用），ffmpeg命令手册，文章，编解码论文，视频讲解，面试题全套资料

Repository: https://github.com/0voice/ffmpeg_develop_doc
Canonical: https://ross.abutalabs.com/products/ffmpeg_develop_doc
Language: C
License Family: other
Topics: ffmpeg, webrtc, c
Last push: 2024-05-20T12:12:58+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1702, "days_push": 835, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2182, forks 607 (observed 2026-08-28T04:06:23.330625+00:00)

## What it is
A curated collection of FFmpeg learning resources including command manuals, articles, codec papers, tutorial videos, runnable demo projects, and interview questions. It aggregates links to open-source media player projects and documentation from across the internet.

## Use cases
- learn ffmpeg from scratch
- find ffmpeg command examples
- prepare for audio/video developer interviews
- study codec and encoding papers
- find ffmpeg-based video player projects

## When to choose
- you want a one-stop index of FFmpeg tutorials, docs, and sample projects
- you are preparing for multimedia development interviews
- you need pointers to FFmpeg-based open-source players

## When to avoid
- you need an actual FFmpeg binary or library - use the official FFmpeg project
- you need a maintained software tool rather than a link collection
- you require a licensed, canonical source of documentation

## Facets
- artifact type: learning-resource
- maturity: active
- function: video-processing, audio-processing, documentation
- domain: media, tutorials, developer-tools
- platform: cross-platform, cli
- tags: ffmpeg, audio-video, interview-questions, curated-links, codec-papers

## Member repositories
- 0voice/ffmpeg_develop_doc (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:23.330625+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:48:15.914866+00:00, confidence not recorded.
  - readme: https://github.com/0voice/ffmpeg_develop_doc (fetched 2026-08-28T04:06:23.330625+00:00, sha 42b485c222eb)
- Data as of 2026-08-30T08:39:29.467469+00:00.