GithubHelp home page GithubHelp logo

rajeeves / manim Goto Github PK

View Code? Open in Web Editor NEW

This project forked from 3b1b/manim

0.0 2.0 0.0 7.63 MB

Animation engine for explanatory math videos

License: Other

Dockerfile 0.02% Python 99.97% TeX 0.01%

manim's Introduction

Manim

Animation engine for explanatory math videos.

build

For those who want to play around with this tool, I should be upfront that I've mostly had my own use cases (i.e. 3b1b videos) in mind while building it, and it might not be the most friendly thing to get up and running. In particular, I have not done a great job tracking requirements, writing tests, and documentation, to put it euphemistically, almost exclusively takes the form of naming conventions.

For 9/10 of math animation needs, you'd probably be better off using a more well-maintained tool, like matplotlib, mathematica, Processing or even going a non-programatic route with something like After Effects or even Keynote. I also happen to think the program "Grapher" built into osx is really great, and surprisingly versatile for many needs. My own reasons for building this tool and using it for videos are twofold, and I'm not sure how well they apply to other people's use cases.

  1. If I wish to work with some new type of mathematical thing (e.g. a fractal), or to experiment with a different type of animation, it's easier to work it into the underlying system and manipulate it the same way as more standard objects/animation. Admittedly, though, part of the reason I find this easier is because I'm more familiar with the underlying system here than I am with others. This keeps me from shying away from certain video topics that I would otherwise have no idea how to animate.

  2. Having my own tool has been a forcing function for having a style which is more original than what I may have otherwise produced. The cost of this was slower video production when the tool was in its early days, and during points when I do some kind of rehaul, but I think the artistic benefit is a real one. If you wish to use this tool and adopt the same style, by all means feel free. In fact, I encourage it. But the tricky part about anything which confers the benefit of originality is that this benefit cannot be easily shared.

Install requirements

Manim works with Python 3.7, and many of the older projects from the Python 2.7 days of Manim will not be supported.

Manim dependencies rely on system libraries you will need to install on your operating system:

  • ffmpeg
  • latex
  • sox

Then you can install the python dependencies:

python3 -m pip install -r requirements.txt

How to Use

Todd Zimmerman put together a very nice tutorial on getting started with manim. I can't make promises that future versions will always be compatible with what is discussed in that tutorial, but he certainly does a much better job than I have laying out the basics.

Try running the following:

python3 extract_scene.py example_scenes.py SquareToCircle -pl

The -p is for previewing, meaning the the video file will automatically open when it is done rendering. Use -l for a faster rendering at a lower quality. Use -s to skip to the end and just show the final frame. Use -n (number) to skip ahead to the n'th animation of a scene. Use -f to show the file in finder (for osx)

Set MEDIA_DIR environment variable to determine where image and animation files will be written.

Look through the old_projects folder to see the code for previous 3b1b videos. Note, however, that developments are often made to the library without considering backwards compatibility on those old_projects. To run them with a guarantee that they will work, you will have to go back to the commit which complete that project.

While developing a scene, the -s flag is helpful to just see what things look like at the end without having to generate the full animation. It can also be helpful to use the -n flag to skip over some number of animations.

Scenes with PiCreatures are somewhat 3b1b specific, so the specific designs for various expressions are not part of the public repository. You should still be able to run them, but they will fall back on using the "plain" expression for the creature.

License

All files in the directories active_projects and old_projects, which by and large generate the visuals for 3b1b videos, are copyright 3Blue1Brown.

The general purpose animation code found in the remainder of the repository, on the other hand, is under the MIT license.

Docker Method

Since it's a bit tricky to get all the dependencies set up just right, there is a Dockerfile provided.

  1. Install Docker
  2. Build docker image. docker build -t manim .
  3. Run it! docker run --rm -itv "$PWD":/root/manim/ manim

On a Windows system, make sure to replace $PWD with an absolute path to manim.

Note that the shipped Docker image contains the bare requirements to run manim. To transform the Docker container into a fully-functioning development environment, you will have to edit your personal Dockerfile a bit. For a guide to create your own personal Docker image, consult this guide to Dockerfiles.

Live Streaming

To live stream your animations, simply assign IS_LIVE_STREAMING = True in constants.py file and from your Python Interactive Shell (python3) import the stream starter with from stream_starter import * while under the project directory. This will provide a clean interactive shell to enter your commands. manim object is a Manim() instance so as soon as you play an animation with manim.play() your stream will start. A video player will pop-up and you can broadcast that video using OBS Studio which is the most practical way of streaming with this math animation library. An example:

>>> from stream_starter import *
YOUR STREAM IS READY!
>>> circle = Circle()
>>> manim.play(ShowCreation(circle))
Animation 0: ShowCreationCircle: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 60/60 [00:01<00:00, 37.30it/s]
<scene.scene.Scene object at 0x7f0756d5a8d0>

It is also possible to stream directly to Twitch. To do that simply assign IS_STREAMING_TO_TWITCH = True in constants.py file and put your Twitch Stream Key to TWITCH_STREAM_KEY = "YOUR_STREAM_KEY" and when you follow the above example the stream will directly start on your Twitch channel(with no audio support).

manim's People

Watchers

 avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.