ByteVid

The ByteVid project is made up of a number of repositories. Apart from this repository, here are the other repositories that you might be also interested in:

• yolov7-slides-extraction
• ByteVidFrontend
• ByteVidExtension

Prerequisites

The application requires the command-line tool ffmpeg to be installed on your system, which is available from most package managers:

on Ubuntu or Debian

sudo apt update && sudo apt install ffmpeg

on Arch Linux

sudo pacman -S ffmpeg

on MacOS using Homebrew (https://brew.sh/)

brew install ffmpeg

on Windows using Chocolatey (https://chocolatey.org/)

choco install ffmpeg

on Windows using Scoop (https://scoop.sh/)

scoop install ffmpeg

Develop

## create an virtual environment
python3.10 -m venv venv
. ./venv/bin/activate

## install packages
pip install -U pip
pip install -U wheel
pip install -r requirements.txt

## download model weights
wget https://github.com/ztjhz/yolov7-slides-extraction/releases/download/v1.0/best.pt

## set API access key
export BAIDU_APP_ID=_BAIDU_APP_ID
export BAIDU_APP_KEY=_BAIDU_APP_KEY

## start the server
flask --app app run

Deploy

waitress-serve --host 127.0.0.1 --port 31346 app:app

How we built it

Frontend

• React.js
• Tailwind CSS
• Deploy on GitHub pages

Backend

• Flask server
• Deploy on a GPU machine
• Relay to an Internet-facing VPS
• Nginx reverse proxy
• Cloudflare protection

Deep Learning

• Whisper: SOTA speech recognition (Sep 2022)
• YOLOv7: SOTA object detection (Jul 2022)
• KBIR-inspec: key phrase extraction (Dec 2021)
• Bert Extractive Summarizer: summarisation (Jun 2019)
• BlingFire: sentence extraction
• Baidu Translate API: translation

Tools

• OpenCV
• youtube-dl
• ffmpeg