惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

P
Privacy International News Feed
I
Intezer
T
Tenable Blog
S
Schneier on Security
Project Zero
Project Zero
G
GRAHAM CLULEY
酷 壳 – CoolShell
酷 壳 – CoolShell
小众软件
小众软件
Know Your Adversary
Know Your Adversary
博客园 - 司徒正美
The Cloudflare Blog
Recent Commits to openclaw:main
Recent Commits to openclaw:main
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
N
News and Events Feed by Topic
博客园 - 叶小钗
宝玉的分享
宝玉的分享
L
LINUX DO - 热门话题
aimingoo的专栏
aimingoo的专栏
S
Secure Thoughts
Forbes - Security
Forbes - Security
T
The Exploit Database - CXSecurity.com
D
Darknet – Hacking Tools, Hacker News & Cyber Security
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 【当耐特】
罗磊的独立博客
IT之家
IT之家
H
Hacker News: Front Page
I
InfoQ
云风的 BLOG
云风的 BLOG
S
Security Affairs
M
MIT News - Artificial intelligence
GbyAI
GbyAI
Jina AI
Jina AI
Help Net Security
Help Net Security
Engineering at Meta
Engineering at Meta
大猫的无限游戏
大猫的无限游戏
Webroot Blog
Webroot Blog
L
Lohrmann on Cybersecurity
A
About on SuperTechFans
Attack and Defense Labs
Attack and Defense Labs
The Register - Security
The Register - Security
V
V2EX
G
Google Developers Blog
D
DataBreaches.Net
Apple Machine Learning Research
Apple Machine Learning Research
C
Cybersecurity and Infrastructure Security Agency CISA
J
Java Code Geeks
W
WeLiveSecurity
Cloudbric
Cloudbric
T
Tor Project blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Auto-generating YouTube thumbnails with ffmpeg inside a CI pipeline
盛永裕介 · 2026-05-05 · via DEV Community

When I started auto-publishing YouTube videos from GitHub Actions, the default thumbnails were whatever frame YouTube chose to freeze on. Usually a half-rendered slide or a moment of black. They looked unprofessional enough that I fixed it before worrying about anything else.

The result is thumbnail.sh — 51 lines of bash that run as step 4a in my publish pipeline, generate a 1280×720 JPEG from the finished mp4, and hand it to upload.py for thumbnails.set. Here's how it works and where it's still rough.

What the pipeline looks like before the thumbnail step

My full pipeline is orchestrated by main.sh:

  1. TTStts.sh generates voice.wav from a script using edge-tts
  2. Visualsvisuals.sh writes slide_*.txt files, one per sentence
  3. Backgroundbg.sh pulls a Pexels stock video or falls back to a solid color
  4. Composecompose.sh assembles everything into output.mp4 using ffmpeg
  5. Thumbnailthumbnail.sh reads output.mp4, writes thumbnail.jpg ← new
  6. Uploadupload.py uploads the mp4 and optionally calls thumbnails.set

Thumbnail generation runs after compose because it needs the finished video as input. The upload step receives a --thumbnail arg only if the file exists — if thumbnail.sh fails, the video still uploads without a custom thumbnail instead of aborting the whole run.

The ffmpeg filter chain

The core of thumbnail.sh is a single ffmpeg invocation. It does four things in one pass:

ffmpeg -y -loglevel error \
  -ss "$SEEK" -i "$VIDEO" \
  -frames:v 1 \
  -vf "scale=1280:720:force_original_aspect_ratio=increase,crop=1280:720,\
eq=brightness=-0.18:saturation=0.85,\
vignette=PI/4.5,\
drawtext=fontfile='${FONT}':textfile='${TITLE_FILE}':fontcolor=white:fontsize=72:\
x=(w-text_w)/2:y=(h-text_h)/2:line_spacing=14:\
shadowcolor=black@0.9:shadowx=6:shadowy=6:\
box=1:boxcolor=black@0.45:boxborderw=24" \
  -q:v 3 \
  "$OUTPUT"

Enter fullscreen mode Exit fullscreen mode

-ss "$SEEK" — seeks to 40% of total duration before decoding a single frame. I picked 40% empirically: the first 20% of my videos is usually a title card, and the last 10% fades out. Somewhere in the middle is almost always a content-heavy slide that reads well as a still.

scale=1280:720:force_original_aspect_ratio=increase,crop=1280:720 — my source videos are 1080×1920 (9:16 Shorts). This filter scales to fill 16:9, crops to center. YouTube's thumbnail spec is 1280×720 maximum, 2MB maximum.

eq=brightness=-0.18:saturation=0.85 — darkens the frame slightly and desaturates a little. Title text needs contrast to be readable. I tried several values; -0.18 brightness is about as far as you can go before the background looks obviously crushed.

vignette=PI/4.5 — adds edge darkening. Combined with the brightness reduction, this draws the eye toward center where the title sits.

drawtext — overlays the wrapped title. The textfile= approach rather than text= is intentional: ffmpeg's text= parameter has escaping requirements that break on apostrophes, colons, and commas that appear regularly in video titles. Writing to a temp file and pointing textfile= at it sidesteps all of that. shadowcolor=black@0.9:shadowx=6:shadowy=6 plus box=1:boxcolor=black@0.45:boxborderw=24 adds both a drop shadow and a semi-transparent text box. Either alone isn't enough when the background frame is complicated.

-q:v 3 — JPEG quality scale. ffmpeg's JPEG quality flag is inverse: 2-3 is high quality, 31 is terrible. I settled on 3 because the output is typically 200-400KB, well inside the 2MB YouTube limit. If it does exceed 2MB, the script recompresses at -q:v 6.

Title wrapping

YouTube titles can be 100 characters. At fontsize 72 on a 1280px canvas, about 24 characters fit per line. I wrap with Python's textwrap.fill:

WRAPPED_TITLE=$(python3 -c "
import textwrap, sys
title = '''$TITLE'''.strip()
print(textwrap.fill(title, width=24))
")

Enter fullscreen mode Exit fullscreen mode

The triple-quote protects against titles with single quotes. It still breaks on titles with three consecutive single quotes (''') — I haven't seen one in practice but it's a known hole.

Font discovery

The script checks three hardcoded paths:

for f in \
  "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf" \
  "/usr/share/fonts/dejavu/DejaVuSans-Bold.ttf" \
  "/System/Library/Fonts/Helvetica.ttc"; do
  [ -f "$f" ] && FONT="$f" && break
done

Enter fullscreen mode Exit fullscreen mode

The first two paths cover Ubuntu (GitHub Actions default runner). The third covers macOS for local testing. If none are found the script exits non-zero, which main.sh catches and swallows — the upload continues without a custom thumbnail.

I should probably install a specific font in the CI runner explicitly rather than hoping the path is stable. That's on my list.

Wiring up the YouTube thumbnails API

upload.py already handled the video upload via the YouTube Data API v3 resumable upload flow. Thumbnail upload is a separate endpoint — thumbnails.set — and it's straightforward:

def upload_thumbnail(access_token, video_id, thumb_path):
    file_size = os.path.getsize(thumb_path)
    with open(thumb_path, "rb") as f:
        data = f.read()
    headers = {
        "Authorization": f"Bearer {access_token}",
        "Content-Type": "image/jpeg",
        "Content-Length": str(file_size),
    }
    url = f"https://www.googleapis.com/upload/youtube/v3/thumbnails/set?videoId={video_id}&uploadType=media"
    req = urllib.request.Request(url, data=data, headers=headers, method="POST")
    ...

Enter fullscreen mode Exit fullscreen mode

One catch: thumbnails.set requires the YouTube OAuth scope youtube.upload to be enabled on the same token. If you set up your OAuth credentials without that scope, this call returns 403. I hit that on the first test run and had to regenerate the refresh token.

The upload_thumbnail call is wrapped in a try/except HTTPError with a WARN: print and a None return rather than raising. Thumbnail failure should never block a published video.

What I'd do differently

Frame selection is too simple. Picking 40% of duration works reasonably often but sometimes lands on a text-only slide with a plain background that reads fine in video but looks bland as a static thumbnail. A smarter approach would score candidate frames by visual complexity — edge density or color variance — and pick the highest-scoring one.

Text placement is center-center. That's fine for short titles. Longer titles that wrap to three or four lines push into the lower third where a progress bar or face would normally go. Adding padding-from-bottom logic would help.

The font size is fixed at 72. A 20-character title and a 90-character title both render at the same size. The 90-character version looks cramped. Dynamic fontsize based on character count would be cleaner.

I don't verify the thumbnail is actually live. After thumbnails.set returns 200, there's a delay before it shows in the YouTube Studio UI, and sometimes custom thumbnails revert if the channel doesn't have thumbnail upload permissions verified. I'm watching whether this happens on the live channel, but I don't have enough uploads yet to know the reliability.

Whether custom thumbnails move the CTR needle at all is the open question. I'll have that data in 30 days.

Part of an ongoing 6-month experiment running three AI-curated directory sites. The technical claims here are real; this article was AI-assisted.