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Web-based video super-resolution application using SRGAN implementation in TensorFlow

Shell 2.34% Python 57.18% CSS 3.69% JavaScript 25.92% HTML 10.87%

vid4x-web-based-super-resolution-using-srgan's Introduction

INTRODUCTION

Public-viable image super-resolution service was made available by Waifu2X, a free-to-use web-based image super-resolution service. However, super-resolution services for video are only available via commercial product, for instance, Insta4K produce by Red Giant . This project aims to develop a public-viable web-based video super-resolution solution using computer vision and machine learning technology. The software will be relatively light-weighted to ensure ease of deployment. The project will deliver a video-upscaling service with a fully functional web interface.

Features are as follow:

  • Functional features:

    • Web-based uploading portal for user to upload video
    • Super-resolution up to 4x
    • A list of processed video for user to download
  • Non-functional features:

    • Responsive web design
    • NoSQL database

SCREENSHOT

SAMPLE

Original(320x420) Upscaled(2560x1920)
Original(426x420) Upscaled(2982x1680)
Original(320x420) Upscaled(2560x1920)

REFERENCIES

vid4x-web-based-super-resolution-using-srgan's People

Contributors

omgninja avatar

Stargazers

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Forkers

shiyoi

vid4x-web-based-super-resolution-using-srgan's Issues

Documentation

could you please provide instructions and steps to run this program in local system?

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