Rendering a video like THPS2 🛹

This page summarizes the projects mentioned and recommended in the original post on /r/ffmpeg

InfluxDB - Power Real-Time Data Analytics at Scale
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  • editly

    Slick, declarative command line video editing & API

  • You seem to misunderstand what ffmpeg is for - namely the stream conversion of media. Only limited filters are available. You can write your own shaders and use cli tools like https://github.com/mifi/editly for automation surely

  • White-box-Cartoonization

    Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

  • Anyways, I'd suggest some own research via a simple Google or Github search. You can start here on ML models for some cartoonized effects: https://github.com/SystemErrorWang/White-box-Cartoonization with developments into projects like https://github.com/experience-ml/cartoonize

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • cartoonize

    A demo webapp to convert images and videos into cartoon!

  • Anyways, I'd suggest some own research via a simple Google or Github search. You can start here on ML models for some cartoonized effects: https://github.com/SystemErrorWang/White-box-Cartoonization with developments into projects like https://github.com/experience-ml/cartoonize

  • EZFilter

    A lightweight (<180KB), easy-to-extend Android filter and dynamic sticker framework for adding filters and stickers for camera, video, bitmap and view.(一个轻量级(<180KB)、易扩展的Android滤镜和动态贴纸框架,支持摄像头、视频、图片和视图添加滤镜和贴纸。)

  • 1 - Go to shadertoy and search for any cartoon/pixel filter like this and this 2 - Get inspired by these shaders and try to apply them to your video (it's quite easy on Android native, I've already done that using ezFilter).

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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