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pytorch-tint-predictor's Introduction

Pytorch Tint Predictor

A pytorch model used to discriminate dark and bright colors.

Usage

Command line

To use the model, simply execute this command

python model.py <red> <green> <blue>

For example:

python model.py 0 0 255

Web server

Alternatively, you can use the webserver contained in _deploy folder. First you'd have to run the server:

python server.py

And then submit a POST request:

curl -d {"red": 255,"green": 0,"blue": 42} -X POST http://localhost:8080/predict

Docker

I also deployed a container if you are using Docker

https://hub.docker.com/r/azenox/tint-predictor/tags

docker run -p 8080:8080 azenox/tint-predictor:latest

And then submit a POST request:

curl -d {"red": 255,"green": 0,"blue": 42} -X POST http://127.0.0.1:8080/predict

Calculation

This model has been trained with the following luminance equation:

Luminance = 0.299 * R + 0.587 * G + 0.114 * B

pytorch-tint-predictor's People

Contributors

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