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1. Matplotlib mencoder vs ffmpeg windows 10 install#
2. Matplotlib mencoder vs ffmpeg windows 10 license#
3. Matplotlib mencoder vs ffmpeg windows 10 series#
4. Matplotlib mencoder vs ffmpeg windows 10 free#

Matplotlib mencoder vs ffmpeg windows 10 free#

MEncoder is a free command line tool used specifically to decode, encode and filter files. These include the libavcodec, which is an audio and video codec library (several other projects use this code) the libavformat, which is an audio and video container mux and demux library (meaning a library that contains multiplexers and demultiplexers – devices that reveres multiplexing) and the ffmpeg command line program, which is used to transcode multimedia files. There are a few features of the FFmpeg that are more notable than others.

Matplotlib mencoder vs ffmpeg windows 10 license#

It publishes these libraries and programs under the GNU Lesser General Public License (also commonly known as the GNU General Public License, depending on which options are available to the user). It creates libraries and programs that are designed specifically to handle multimedia data. Cut and paste the folder in your C: disk.FFmpeg is a free software, open source project.Go to the Git section and click on the first link.

Matplotlib mencoder vs ffmpeg windows 10 install#

An emitter is a source of density and certain velocity. Inside the config.json file, you can specify the characteristics of an emitter you want to place. Inside the config.json file, change the color property and write the color scheme you want from the list below.įor example, by having 'hot' as the color property in the json file, you get the following:

Matplotlib mencoder vs ffmpeg windows 10 series#

The folder evidences contains a series of example JSON files and their output videos, with both simple and complex examples of the output. An object is indeed having a constant amount of density that will not be modified by the liquid, since it's a solid, but you need to determine the density or 'color' the object will have visually. density: integer that represents the amount of density of the object.size: height and width integers, which will be the shape of a height x width rectangular object.Each dictionary in the array represents an object, where each of the objects must contain: factor: float integer/float number that will act as a parameter depending on the behaviour chosen.behaviour: string that contains any of the available options in behaviours.py.x and y float/integer numbers that represent the velocity direction of the emitter.density: integer that represents the amount of density of the emitter.size: integer that defines an NxN square emitter.position: x and y integers, which are the top left position.There cannot be emitters of just velocity or just density, because it would not make sense. Each dictionary in the array represents an emitter, which is a source of density and velocity. The structure of the file must be the following:Ĭolor: string that contains any of the available options in colors.py.įrames: integer that determines the frame duration of the video. The config.json file is the input file you must provide as a command parameter. The Development Log file is also located in the root directory of this repository, where all the logic and structure of the programming done is explained. Where the config.json file is the input file inside the same folder as main.py file.