The project covers common metrics for super-resolution performance evaluation.

Last update: Aug 03, 2022

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Overview

Super-Resolution Performance Evaluation Code

The project covers common metrics for super-resolution performance evaluation.

Metrics support

The scripts will calculate the values of the following evaluation metrics: 'MA', 'NIQE', 'PI', 'PSNR', 'BRISQUE', 'SSIM', 'MSE', 'RMSE', 'MAE', 'LPIPS'. Note that the 'SSIM' values are calculated by ssim.m, the matlab code including the suggested downsampling process available in this link.

Highlights

Breakpoint continuation support : The program can continue from where it was last interrupted by using .xlsx file
Parallel computing support : The Programs can be re-scaled to take advantage of multi-core performance by using pythonThreadPoolExecutor
Both RGB and YCbCr color space support

Dependencies

Python 3
PyTorch >= 1.0
Matlab

Instructions for use this code

Please ref BLIND IMAGE QUALITY TOOLBOX

Reference

The code is based on SPSR and BIQT.

Owner

xmy

GitHub Repository

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The project covers common metrics for super-resolution performance evaluation.

Related tags

Overview

Super-Resolution Performance Evaluation Code

Metrics support

Highlights

Dependencies

Instructions for use this code

Reference

Owner

xmy

For holding anime-related object classification and detection models

Pairwise model for commonlit competition

Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

🕹️ Official Implementation of Conditional Motion In-betweening (CMIB) 🏃

CountDown to New Year and shoot fireworks

A CROSS-MODAL FUSION NETWORK BASED ON SELF-ATTENTION AND RESIDUAL STRUCTURE FOR MULTIMODAL EMOTION RECOGNITION

some academic posters as references. May we have in-person poster session soon!

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described in the paper.

Official Code For TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations (EMNLP2021)

π-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation

Attention-driven Robot Manipulation (ARM) which includes Q-attention

object recognition with machine learning on Respberry pi

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"

Multiwavelets-based operator model

Improving Calibration for Long-Tailed Recognition (CVPR2021)

Scrutinizing XAI with linear ground-truth data

A list of multi-task learning papers and projects.

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation