video-diet 0.1.5

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Video diet

This project aims to reduce the spaces of your videos encoding it on hevc.

Why video-diet?

The answer is easy. I have a lot old-movies/videos taking a lot of space in the hard-drive. So I'm always short on disk space, the by accident discover de hevc codec. when i need to shrink a video of 3GB to upload it to Telegram, the convertion take my 3GB movie and returned a 300 MB with the same quality 😱. So I decided that I would convert all my video files, but they are a lot, so I build this tool for it.

More info about hevc:

https://en.wikipedia.org/wiki/High_Efficiency_Video_Coding

Installation

$ pip install video-diet

FFMPEG

In order to run the project you must install ffmpeg.

For Linux

In any linux machine you can get it from your favorite package manager.

For arch:

sudo pacman -S ffmpeg

For Debian/Ubuntu:

sudo apt-get install ffmpeg

For Windows

https://ffmpeg.org/download.html

Example

For a file

video-diet file test.mp4

This option conserve the original file

For a folder

video-diet folder ~/Videos

This option replaces the original file for the converted files

Note

The video conversion can take some time. Depending on the original video properties; the conversion time can be longer than the video.

For developers

You must first install poetry

Poetry provides a custom installer that will install poetry isolated from the rest of your system by vendorizing its dependencies. This is the recommended way of installing poetry.

osx / linux / bashonwindows install instructions

curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python

windows powershell install instructions

(Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py -UseBasicParsing).Content | python

The installer installs the poetry tool to Poetry's bin directory. On Unix it is located at $HOME/.poetry/bin and on Windows at %USERPROFILE%\.poetry\bin.

This directory will be in your $PATH environment variable, which means you can run them from the shell without further configuration.

Then you need to configure the environment

Inside the project make poetry install and after poetry shell for start the virtualenv.

For testing the code run video-diet.

See CONTRIBUTING.md for more details.

Good luck 😉.

Project Structure based on awesome tutorial by @tiangolo at https://typer.tiangolo.com/tutorial/package