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[ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.

Home Page: https://www.jasongt.com/projectpages/pipal.html

Python 95.61% MATLAB 4.39%

pytorch pipal iqa-dataset perceptual-quality

pipal-dataset's Introduction

Perceptual IQA Dataset (PIPAL) and Codebase

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

Jinjin Gu, Haoming Cai, Haoyu Chen, Haoyu Chen, Jimmy S.Ren, Chao Dong. In ECCV, 2020.

ECCV 2020 Paper | Journal Version | Project Web | NTIRE 2021 Challenge.
If you have any questions, please contact with [email protected]

🔥 Important Notes [ 2022-Jan-02 ]

[2022-Jan-02] Update the README. I will recorrect those errors mentioned in the issues recently. Moreover, we will extend the PIPAL dataset with more degradations for the NTIRE 2022 (We are still waiting for further notes from the NTIRE organizer).
[2021-Feb] We are organizing NTIRE 2021 Perceptual IQA Challenge !!.
[2021-Feb] ❗️ ❗️ This codebase ONLY supports users to train LPIPS on PIPAL or BAPPS for now. The SWD module will be added in the future.

📦 Download PIPAL NTIRE 2021

Train [Google Drive]
Valid [Google Drive]
Test [Coming Soon]

🔧 Dependencies and Installation

Python 3 (Recommend to use Anaconda)
PyTorch >= 1.0
NVIDIA GPU + CUDA
Python packages: pip install numpy opencv-python lmdb pyyaml
TensorBoard:
- PyTorch >= 1.1: pip install tb-nightly future
- PyTorch == 1.0: pip install tensorboardX

💻 How to Train

Train Your IQA
1. Prepare IQA dataset PIPAL public training [NTIRE 2021] or BAPPS. More details are in codes/data.
2. Modify the dataset format based on your need in codes/data/PairedTrain_dataset.py and ValidorTest_dataset.py
3. Modify the configuration file codes/options/train_test_yml/train_our_IQA.yml
4. Run command:
```
 python train.py -opt options/train_test_yml/train_IQA.yml
```

📈 How to Test

Test your IQA
1. Prepare IQA dataset PIPAL public validation [NTIRE 2021]. More details are in codes/data.
2. Modify the dataset format based on your need in ValidorTest_dataset.py
3. Modify the configuration file codes/options/train_test_yml/test_IQA.yml
4. Run command:
```
 python test.py -opt options/train_test_yml/test_IQA.yml
```

Ackowledgement

This code is based on mmsr.

pipal-dataset's People

Contributors

Stargazers

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mawuyuki 9vivian88 davi-he

pipal-dataset's Issues

An error "NotImplementedError: Check Alignment" in PIPAL-NTIRE22 challenge.

I encountered an error "NotImplementedError: Check Alignment" when submitting my test results for PIPAL-NTIRE22 challenge. Could you please help look into what might be causing this issue?

can you share me about the PIPAL_NTIRE_Valid_MOS.txt

A question about the code for generating distorted images.

Hi, is it possible to release the code for generating distorted images? This code may be important for further IQA research, such as generating more distorted images for data augmentation.

About the web-based image quality opinion scoring system (IQOS)

Hello, thanks for your great job! Where can we find the IQOS to collect our own data? I cannot find the usage of IQOS on the github/project web page.

Ask about MOS validation.txt

Hi, could you provide the MOS data ?

Thank you, I am looking forward for your reply

A question about the code for generating distorted images.

Hi, is it possible to release the code for generating distorted images? This code may be important for further IQA research, such as generating more distorted images for data augmentation.

A question about the code for generating distorted images.

Hi, is it possible to release the code for generating distorted images? This code may be important for further IQA research, such as generating more distorted images for data augmentation.

test the test_iqa.yml

Hello, when I was testing your code, I found that you did not give the label data of VAL and test set, so I can’t run the testIQA.yml, how can this solve this?
The error is “FileNotFoundError: [Errno 2] No such file or directory: '/home/hmcai/home/Dataset/PIPAL/PIPAL_Partition/FullDataset/Full_EloMOSV2'”

Pretrained model missing.

Hello,
I want to rank the qualities of some images, and I wonder is there any plan for releasing the pretrained model? Thanks!

distortion type

Hello, can you provide the distortion type names corresponding to all the images?
If
A0001_01_01.bmp represents, what is the distortion type
What a distortion type does the A0001_01_02.bmp represent
thank you very much

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