Skip to main content

making videos at lightspeed

Project description

Video-Content-Pipeline

Making videos at lightspeed

Purpose

In this project I wanted to mass edit large videos for streams on twitch for personal and school club reasons. I always thought this project was really interesting which is why I decided to spend some time this summer coding it.

Highlights

  • Takes large videos and filters out silence intervals
  • Each interval are consider clips which then is processed futher using opencv image processing algorithms
  • Clips then are ranked based on citeria ie loudness, color, and percentage white pixels after thresholding
  • Average the points and merge the above average clips together to form a videos

This returns a condense video of key moments within a large stream which can be taken futher for editing or whatever needs.

Installation

  pip install -r requirements.txt

Screenshots

Valorant - Full Screen Valorant - Crosshair

Comments

This project is still very new and I still have lots that I want to implement, so come back every week and hopefully it will be nicer. If you have any questions send me an email at andysit173@gmail.com and let me know any feedback or changes you think will help.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vidflow-0.1.2.tar.gz (1.2 MB view details)

Uploaded Source

Built Distribution

vidflow-0.1.2-py3-none-any.whl (1.2 MB view details)

Uploaded Python 3

File details

Details for the file vidflow-0.1.2.tar.gz.

File metadata

  • Download URL: vidflow-0.1.2.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.4 Windows/10

File hashes

Hashes for vidflow-0.1.2.tar.gz
Algorithm Hash digest
SHA256 ff398b0164fa165b6341cf581add9e11e63d5186639c2a0e6ce5f7dc17898c60
MD5 9d208356a8be404aec2ace6aa0f1a8b1
BLAKE2b-256 0bb21cabaf69e6afa2f12f7a2be5229695c78acc6a7f52d9be069e71cfeaa1d8

See more details on using hashes here.

File details

Details for the file vidflow-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: vidflow-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 1.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.4 Windows/10

File hashes

Hashes for vidflow-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 e541786bb745ca4df2a4e2912ff0e105eb422a9451aa445434e408d42fb17f15
MD5 b7e1f973106b158ebeeea9c7898f80d9
BLAKE2b-256 0fd6c8ea118e40cf9e254f7c5f819fdafc98d4b0d47d31b1d411c869ba5fdd18

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page