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Detects black edges in videos to identify improper aspect ratios.

License: GNU General Public License v2.0

Python 100.00%

blackedgeid's Introduction

BlackEdgeID ๐ŸŽฅ๐Ÿ”

Introduction

BlackEdgeID is an advanced video processing tool designed to detect black edges in videos, thereby identifying improper aspect ratios. Utilizing cutting-edge image processing technology, this project offers a swift and reliable solution for content creators and media professionals.

Features โค๏ธ

  • Fast Uploads: Built with FastAPI, the server-side can quickly receive uploaded video files.
  • Intelligent Detection: Smartly identifies unsightly black edges by analyzing pixel changes over time in video frames.
  • Real-Time Queries: Provides a real-time query interface, allowing users to check the video processing status and black edge detection results at any time.
  • Efficient Storage: Employs Redis for efficient management of video files and processing results.

Technology Stack ๐Ÿ“

  • FastAPI: A modern, fast (high-performance) web framework for building APIs.
  • ffmpeg: A powerful multimedia framework for processing video and audio files.
  • OpenCV: An open-source computer vision library for image processing and video analysis.
  • Redis: An in-memory data structure store, used as a database, cache, and message broker.

Usage Examples ๐Ÿชœ

  1. Upload a video:

    curl -X 'POST' \
      'http://127.0.0.1:8000/upload-video' \
      -H 'accept: application/json' \
      -H 'Content-Type: multipart/form-data' \
      -F 'file=@path_to_video.mp4;type=video/mp4'
  2. Query a video:

     curl -X 'GET' \
     'http://127.0.0.1:8000/query-video/{video_hash}' \
     -H 'accept: application/json'

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