Code for MICCAI 2017 paper
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Updated
Sep 12, 2017 - Python
Code for MICCAI 2017 paper
Quality Metrics for face identification problem
Tensorflow version of Visual Information Fidelity (VIF)
GWAS Pre-Processing Pipeline
IQA: Deep Image Structure and Texture Similarity Metric
Python code for quality control tools.
This project is used to calculate necessary video quality metrics using our scripts.
Quality assurance for Helm charts and chart repositories
[unofficial] PyTorch Implementation of image quality assessment methods: IQA-CNN++ in ICIP2015 and IQA-CNN in CVPR2014
[unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
This is a tool written in python that calculates software quality metrics and then technical debt. It is specifically aimed at OOP Python softwares.
Code and information for face image quality assessment with SER-FIQ
[2022-TVCG] Perceptual Quality Assessment of Omnidirectional Images as Moving Camera Videos
An (optimized) implementation of the music DR measurement (compliant with http://dr.loudness-war.info/), it supports CUE sheets and is faster than all currently available alternatives (at the time of writing, not sure about now)
All image quality metrics you need in one package.
Oxygen is a Robot Framework tool that empowers the user to convert the results of any testing tool or framework to Robot Framework's reporting to consolidate all test reporting together regardless of tools used.
Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
A set of scripts for aggregation, analysis and reporting of build and static analysis results.
A cross-language tool for rating the overall quality of open source, commercial and personal projects
Software quality monitoring for teams and projects
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