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Caution

Replace all the placeholders with the correct information. Remove this message only after you have replaced all the placeholders.

  • means optional

KDD - [Team] - [Project]

This is a ML research project for the KDD Research Team. The machine learning model and API was built using Python.

View More - KDDResearch.org

Installation

Install the proper tools:

  • Docker

Next, fill out all the required secrets:

/.env.local

# Secrets

Usage

Run With Docker (Preferred)

Note

Provide the required secrets in the .env.local file before running the project.

docker run ghcr.io/kddresearch/project-template:latest -env-file .env.local

or

docker build -t project-template .

docker run -p 3000:3000 project-template -env-file .env.local

View the console to see the result.

Contributing

To contribute to this project, follow the instructions in CONTRIBUTING.md

Citation

To cite this project, use CITATION.cff

Confidentiality: Internal

Access: KDD Members

This repository should remain private and only accessible to KDD members. This repository contains sensitive information about KDD Research workflows and defaults. Do not share this repository with anyone outside of the KDD Research.

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Task-Referenced Image Quality Assessment (TR-IQA) - K-State KDD Lab

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