Zoom Toolkit

This is a simple yet useful toolkit implemented for working on zoom records. There exists 3 functionalities that automates the video processing procedure designed specifically for Zoom videos.

Features

• Silence Cut
  • Detecting and eliminating high amount and long duration silent parts in videos.
• Face Removal
  • Automatically detects and blurs the portrait of the speaker that shares screen.
• Scene Detect
  • Detects important frames.

Installation

You can simple use pip,

pip install zoom-toolkit

Download the source code from here and then just type the command below inside the project folder.

python setup.py install

Quick Start Guide

• Silence Cut

from zoom_toolkit.silencecut import SilenceCut
SilenceCut.operate(FRAME_RATE=30,SAMPLE_RATE=44100,SILENT_THRESHOLD=0.03,FRAME_SPREADAGE=1,NEW_SPEED=[5.00,1.00],FRAME_QUALITY=3,"path to the file","path to output file")

• Face Removal

from zoom_toolkit.face_remove import FaceRemover
FaceRemover().face_remove("path to the file",False,1000,1050)

Module also allows users to state manual time zones for face removal with blurring or darkening option.

• Scene Detect

from zoom_toolkit.scene_detector import SceneDetect
SceneDetect.Detect(input_vid_name = "video.mp4")

Further documentations will be announced soon.

This project has been developed under the supervision of Berrin Yanıkoğlu for ENS-492 (Graduation Project).