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Automated censorable content identification system for movie using deeplearning

License: MIT License

Python 1.96% JavaScript 51.42% HTML 0.46% CSS 34.81% SCSS 11.35%

censorlabel's Introduction

CensorLabel

HitCount forthebadge made-with-python
Automated censorable content identification system for movie using deeplearning. This project automatically add statutory warnings in movies when any censorable contents where shown in the movies. The Project is developed using YOLOV3 and OpenCV...

This system is used for smoking detection, Check whether the motorcyclist weared helmet or not, driving without wearing seatbelt and alcohol detection.

Requirements

  • Python 3
  • Opencv
  • FFMpeg

Installation

pip install -r requirements.txt

Result

result

Support

Open for contributing to this project. Ping me on linkedin https://linkedin.com/in/akhilgkrishnan

censorlabel's People

Contributors

akhilgkrishnan avatar iarunava avatar erjanmx avatar imgbotapp avatar raysworld avatar akhil-sapaad avatar

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