Metadata-Version: 2.1
Name: zoom-toolkit
Version: 2.0
Summary: This is a simple yet useful toolkit implemented for working on zoom records.
Home-page: https://github.com/OnurArdaB/Zoom-Toolkit
Author: Onur Arda Bodur
Author-email: onurarda@sabanciuniv.edu
License: MIT
Download-URL: https://github.com/OnurArdaB/Zoom-Toolkit/archive/v_01.tar.gz
Description: # 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,
        
        ```console
        pip install zoom-toolkit
        ```
        
        Download the source code from <a href="https://github.com/OnurArdaB/Zoom-Toolkit/">here</a> and then just type the command below inside the project folder.
        
        ```console
        python setup.py install
        ```
        
        ## Quick Start Guide
        
        - Silence Cut
        
        ```python
        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
        
        ```python
        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
        ```python
        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).
        
Keywords: Zoom,Automated,Video Processing
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
