Metadata-Version: 2.1
Name: videoslides
Version: 1.0.0
Summary: Package made to obtain a text transcription from a video, with a flow from video to frames to structured frames to transcription in a json file 
Home-page: https://github.com/Zes7one/VideoSlides
Author: Franco Palma
Author-email: franco.pm10@gmail.com 
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: easyocr (>=1.4.1)
Requires-Dist: stanza (>=1.4.0)
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: matplotlib (>=3.3.4)
Requires-Dist: pytube (>=12.0.0)
Requires-Dist: scikit-image (>=0.17.2)
Requires-Dist: validators (>=0.20.0)
Requires-Dist: nltk (>=3.6.7)
Requires-Dist: opencv-python-headless (>=4.1.2.30)
Requires-Dist: sewar (>=0.4.5)
Requires-Dist: pytesseract (>=0.3.8)

# Video Slides

Package made to obtain a text transcription from a video, with a flow from video to frames to structured frames to transcription in a json file 
Paquete hecho para obtener una transcripcion desde un video, con un flujo que inicia con un video se obtienen sus frames y finalmente se extrae la transcripcion estructurada 

## Instalacion:

Mediante el siguiente comando :

pip install videoslides

## Ejemplos de uso

    # Crear clase de Video

    video1 = Video(string, 100, 1, True)
    video1.clean_frames()
    video1.set_data()
    video1.set_slides() 
    video1.set_transcription()


    print(video1.data)
    print(video1.slides)
    print(video1.transcription)
    # ploteo(video1.video_name , video1.data) # grafica

