ID: 5de4333901afe15d4ec10393

Neural Enhance

by Rahul Kanojia

Inproves the Image quality in terms of resolution and colors


Contains Dockerfile  This model contains Dockerfile.


License: Apache License 2.0

 Model stats and performance
Framework PyTorch
OS Used Linux
Publication View
Inference time in seconds per sample.

Performance data is not available.

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Neural Enhance

WHAT IS IT?

This model aims at improving the image quality in terms of resolution and colors of the image. With the help of deep learning, the model is trained on the data with the aim of increasing the quality of the image.

HOW TO USE?

To create a docker Container run the following commands:

  1. docker run --rm -v pwd:/ne/input -it alexjc/neural-enhance --help

  2. alias enhance='function ne() { docker run --rm -v "$(pwd)/dirname ${@:$#}":/ne/input -it alexjc/neural-enhance ${@:1:$#-1} "input/basename ${@:$#}"; }; ne'

To run The Inference Script run this command For single image: enhance --zoom=<times you want to zoom the image> --model=repair <input image>

For multiple imag: enhance --zoom=<times you want to zoom the image "images/*.jpg"

SAMPLE COMMAND

enhance --zoom=1 --model=repair images/broken.jpg | ARGUMENTS | DETAILS | HELP OPTIONS | |---|---|---| |–zoom | Zoom ratio | Ratio of output and input image size |

WHAT ARE THE REQUIREMENTS?

Docker

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Rahul Kanojia
New Delhi
Gold
21
LEVEL

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Curious Mind with a Knack in Deep Learning

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