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• ffmpeg unable to get duration/bitrate of remote gif

  17 février, par Peter Xia

  I'm trying to get the duration of a gif.

  


  The command ffmpeg -i https://cdn.7tv.app/emote/01F6MZGCNG000255K4X1K7NTHR/4x.gif

  


  gives
Duration: N/A, start: 0.000000, bitrate: N/A

  


  However if i download the file and pass it in
ffmpeg -i 4x.gif

  


  it gives :
Duration: 00:00:07.92, start: 0.000000, bitrate: 1225 kb/s

  


  The issue seems limited only to gifs on 7tv site.

  


  

  • It works for other sites. (example : ffmpeg -i https://c.tenor.com/ULCY5B996-oAAAAd/tenor.gif).

  


  • It also works for other encodings of that image (exmaple ffmpeg -i https://cdn.7tv.app/emote/01F6MZGCNG000255K4X1K7NTHR/4x.avif)

  


  


  Here is the HTTP response header from 7tv site of that gif :

  


  HTTP/2 200 
content-type: image/gif
content-length: 1213725
x-7tv-cache-hits: 37527
x-7tv-cache: hit
age: 228365
cache-control: public, max-age=604800, s-maxage=86400, immutable
alt-svc: h3=":443"; ma=2592000
x-7tv-cdn-pod: cdn-ssprq
x-7tv-cdn-node: cdn-1
server: SevenTV
vary: origin, access-control-request-method, access-control-request-headers
access-control-allow-origin: *
access-control-expose-headers: *
date: Sun, 16 Feb 2025 20:47:28 GMT


  


  Can someone help me understand ? Something spcecific to this site is causing ffmpeg to behave differently ?

  


• ffmpeg throws error "Invalid file index 1 in filtergraph description" when used with concat and -/filter_complex [closed]

  20 février, par Ernst V

  I want to create mp4 videos from many small .jpg files (time-lapse). Each image is shown for 2 seconds and then fades to the next. This works fine when I issue the command with a few images (see below). But when the number of images reaches hundreds or thousands, I can no longer put them into a single command, but have to put the filenames and the complex filter into .txt files.

  


  Whatever I try, I always get the error "Invalid file index 1 in filtergraph description".

  


  This works fine :

  


  ffmpeg -loop 1 -i "image1.jpg" -loop 1 -i "image2.jpg" -loop 1 -i "image3.jpg" -loop 1 -i "image4.jpg" -loop 1 -i "image5.jpg" -filter_complex "[0:v]trim=0:2,setpts=PTS-STARTPTS[v0]; [1:v]trim=0:2,setpts=PTS-STARTPTS[v1]; [2:v]trim=0:2,setpts=PTS-STARTPTS[v2]; [3:v]trim=0:2,setpts=PTS-STARTPTS[v3]; [4:v]trim=0:2,setpts=PTS-STARTPTS[v4]; [v0][v1] xfade=transition=fade:duration=1:offset=1 [xf1]; [xf1][v2] xfade=transition=fade:duration=1:offset=2 [xf2]; [xf2][v3] xfade=transition=fade:duration=1:offset=3 [xf3]; [xf3][v4] xfade=transition=fade:duration=1:offset=4 [xf4]" -map "[xf4]" -c:v libx264 -crf 18 -pix_fmt yuv420p output.mp4


  


  But when I put the input files and the filter in txt files, it fails with the error above :

  


  ffmpeg -stream_loop 1 -f concat -safe 0 -i concat_list.txt -/filter_complex filter_script.txt -map "[xf4]" -c:v libx264 -crf 18 -pix_fmt yuv420p output.mp4


  


  This is the concat_list.txt :

  


  file 'image1.jpg'
file 'image2.jpg'
file 'image3.jpg'
file 'image4.jpg'
file 'image5.jpg'


  


  This is the filter_script.txt :

  


  [0:v]trim=0:2,setpts=PTS-STARTPTS[v0];[1:v]trim=0:2,setpts=PTS-STARTPTS[v1];[2:v]trim=0:2,setpts=PTS-STARTPTS[v2];[3:v]trim=0:2,setpts=PTS-STARTPTS[v3];[4:v]trim=0:2,setpts=PTS-STARTPTS[v4];[v0][v1] xfade=transition=fade:duration=1:offset=1 [xf1];[xf1][v2] xfade=transition=fade:duration=1:offset=2 [xf2];[xf2][v3] xfade=transition=fade:duration=1:offset=3 [xf3];[xf3][v4] xfade=transition=fade:duration=1:offset=4 [xf4]


  


  I tried adding/removing line breaks, semicolons, etc. Nothing helped.
Any idea what is going wrong here ? Thank you very much !

  


  My ffmpeg version is the most recent one :

  


  ffmpeg version 2025-02-17-git-b92577405b-full_build-www.gyan.dev

  


• Enhanced Privacy Control : Matomo’s Guide for Consent Manager Platform Integrations

  13 février, par Alex Carmona — Development, Latest Releases

  In today’s digital landscape, protecting user privacy isn’t just about compliance—it’s about building trust and demonstrating respect for user choices. Even though you can use Matomo without requiring consent when properly configured in compliance with privacy regulations, we’re excited to introduce a new Consent Manager Platforms (CMP) category on our Integrations page to make it easier than ever to implement privacy-respecting analytics.

  What’s a consent manager platform ?

  A Consent Management Platform (CMP) is a tool that helps websites collect, manage, and store user consent for data tracking and cookies in compliance with privacy regulations like GDPR and CCPA. A CMP allows users to choose which types of data they want to share, ensuring transparency and respecting their privacy preferences. By integrating a CMP with Matomo, organisations can make sure that analytics tracking occurs only after obtaining explicit user consent.

  

  Remember, you can configure Matomo to remain fully GDPR compliant, without requiring user consent.

  Why consent management matters

  With privacy regulations reshaping data collection practices daily, organisations need to ensure that analytics data is gathered only after users have explicitly given their consent. Integrating Matomo with a Consent Management Platform helps you :

  • Strengthen regulatory compliance
  • Enhance user trust through transparency
  • Clearly document consent choices
  • Simplify privacy management

  By making consent management seamless, you can maintain compliance while delivering a privacy-first experience to your users.

  Introducing our CMP integration options

  We’ve carefully curated integrations with leading Consent Management Platforms that work seamlessly with Matomo Analytics and Matomo Tag Manager. Our supported platforms include :

  

  Supported consent management platforms

  • Osano – Comprehensive consent management with global regulation support
  • Cookiebot – Advanced cookie consent and compliance automation
  • CookieYes – User-friendly consent management solution
  • Tarte au Citron – Open-source consent management tool
  • Klaro – Privacy-focused consent management system
  • OneTrust – Enterprise-grade privacy management platform
  • Complianz for WordPress – Specialised WordPress consent solution

  Each platform provides unique features and compliance options, allowing you to select the best fit for your privacy needs.

  Getting started with simplified implementation

  Ready to enhance your privacy compliance ? We’ve made the integration process straightforward, so you can set up a privacy-compliant analytics environment in just a few steps. Here’s how to begin :

  1. Explore our new CMP category on the Integrations page
  2. Select and implement the CMP that best suits your needs
  3. Check our implementation guides for step-by-step instructions
  4. Configure your consent management settings in Matomo
  5. Start collecting analytics data with proper consent management

  Moving Forward

  As privacy regulations evolve and user expectations around data protection grow, proper consent management is more important than ever. With Matomo’s new CMP integrations, you can ensure compliance while maintaining full control over your analytics data.

  Visit our Integrations page and our Implementation guides today to explore these privacy-enhancing solutions and take the next step in your privacy-first analytics journey.