Giter VIP home page Giter VIP logo

hwmnet's Introduction

๐Ÿ‘‹ Hello World, I'm Chi-Mao Fan

view

๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป About Me

๐Ÿ’ป Languages and Tools I Use

  • Languages
    C Python Java HTML C++ C# kotlin

  • Tools
    PyTorch TensorFlow LaTeX Android Studio Visual Studio GitHub

๐Ÿ“Š Github Stats and Stuff

๐Ÿ“ƒ Repositories (Publication and Competition)

Topic Title Badge
๐Ÿ“‘Paper
Image deraindrop		 "Compound Multi-branch Feature Fusion for Real Image Restoration (ICIP 2023)" official_paper
GitHub Stars
GitHub Forks
Visitors
๐Ÿ“‘Paper
Low-light enhancement		 "Half Wavelet Attention on M-Net+ for Low-light Image Enhancement (ICIP 2022)" official_paper
GitHub Stars
GitHub Forks
Visitors
๐Ÿ“‘Paper
Image denoising		 "Selective Residual M-Net for Real Image Denoising (EUSIPCO 2022)" official_paper
GitHub Stars
GitHub Forks
Visitors
๐Ÿ“‘Paper
Image denoising		 "SUNet: Swin Transformer with UNet for Image Denoising (ISCAS 2022)" official_paper
GitHub Stars
GitHub Forks
Visitors
๐Ÿ“‘Paper
Virtual try-on		 "WBTP-VTON: Whole Body and Texture Preservation based Virtual Try-on Network (ICCE-TW 2021)" official_paper
GitHub Stars
GitHub Forks
Visitors
๐Ÿ†Competition
Image classification		 "ๅฐ‹ๆ‰พ่Šฑไธญๅ›ๅญ๏ผ่˜ญ่Šฑ็จฎ้กž่พจ่ญ˜ๅŠๅˆ†้กž
Orchid Species Identification and Classification Contest"		 official_websute
GitHub Stars
GitHub Forks
Visitors
๐Ÿ†Competition
Automated program trading		 "็ฌฌๅ››ๅฑ†้ซ˜้›„็›ƒ็จ‹ๅผไบคๆ˜“็ซถ่ณฝ
The 4th Kaohsiung Cup Trading Competition"		 official_websute
GitHub Stars
GitHub Forks
Visitors
๐Ÿ†Competition
Data analysis and prediction		 "ๅ…จๅœ‹ๆ™บๆ…ง่ฃฝ้€ ๅคงๆ•ธๆ“šๅˆ†ๆž็ซถ่ณฝ
Intelligent Manufacturing and Big Data Analystics Contest"		 official_websute
GitHub Stars
GitHub ForksVisitors
๐Ÿ†Competition
Object detection		 "ๆฐด็จป็„กไบบๆฉŸๅ…จๅฝฉๅฝฑๅƒๆคๆ ชไฝ็ฝฎ่‡ชๅ‹•ๆจ™่จป่ˆ‡ๆ‡‰็”จ
Crop Location Auto-Labeling Competition"		 official_websute
GitHub Stars
GitHub ForksVisitors
๐Ÿ“ŒSideProject
Useful tool		 "SideProject-2022-Python-ZoomCropMaker" GitHub Stars
GitHub Forks

โŒจ Coding Stats and Stuff

Avinal WakaTime Activity

more detail...

Code Time

I'm a Night ๐Ÿฆ‰

๐ŸŒž Morning                49 commits          โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   02.70 % 
๐ŸŒ† Daytime                722 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   39.82 % 
๐ŸŒƒ Evening                920 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   50.74 % 
๐ŸŒ™ Night                  122 commits         โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   06.73 %

๐Ÿ“… I'm Most Productive on Tuesday

Monday                   228 commits         โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   12.58 % 
Tuesday                  487 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   26.86 % 
Wednesday                266 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   14.67 % 
Thursday                 286 commits         โ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   15.77 % 
Friday                   237 commits         โ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   13.07 % 
Saturday                 139 commits         โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   07.67 % 
Sunday                   170 commits         โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   09.38 %

๐Ÿ“Š This Week I Spent My Time On

๐Ÿ’ฌ Programming Languages: 
Python                   4 hrs 17 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   74.52 % 
HTML                     1 hr 4 mins         โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   18.75 % 
Markdown                 12 mins             โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   03.59 % 
JavaScript               6 mins              โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   01.91 % 
textmate                 1 min               โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   00.48 % 

๐Ÿ’ป Operating System: 
Windows                  5 hrs 45 mins       โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆ   100.00 %

I Mostly Code in Python

Python                   20 repos            โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   68.97 % 
Java                     2 repos             โ–ˆโ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   06.90 % 
HTML                     1 repo              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   03.45 % 
SCSS                     1 repo              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   03.45 % 
C++                      1 repo              โ–ˆโ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘โ–‘   03.45 %

Last Updated on 20/08/2024 18:42:57 UTC

๐Ÿ† Contribution activity

img

๐Ÿ“บ Latest YouTube Videos

๐Ÿ“ฌ Contact Me

mail fb fb u2 twitter linkin reddit
star watchers

hwmnet's People

Contributors

fanchimao avatar

Stargazers

avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar avatar

Watchers

avatar avatar

Forkers

whjzsy perseverancelx taowangzj paul2002 zylion86 woaiwojia4816294 scott-mao jasonlee1990 paperwave zhengyoukai ip-enhancement shaojianlong wieqli tarequebashar

hwmnet's Issues

MIT broken

Could you please update the link to the MIT-Adobe FiveK dataset?
The link of MIT isn't working.

"ir_scheduler.step()โ€œ before "optimizer.step()

ไฝœ่€…ๆ‚จๅฅฝ๏ผŒๆˆ‘ๅœจๅฐ่ฏ•ๅค็Žฐๆ‚จ็š„ไปฃ็ ๆ—ถ้‡ๅˆฐ่ฟ™ๆ ท็š„้—ฎ้ข˜UserWarning: Detected call of"ir_scheduler.step()โ€œbefore"optimizer.step()๏ผŒ่ฏท้—ฎๆˆ‘่ฏฅๅฆ‚ไฝ•ไฟฎๆ”นๆ‚จ็š„ไปฃ็ ไปฅ่งฃๅ†ณ่ฟ™ไธช้—ฎ้ข˜ๅ‘ข๏ผŸ

A question about DWT

I am not clear that the feature 'ft' does the discrete wavelet transformation(DWT) to obtain wavelet domain feature. what is the effects of wavelet domain feature in your article?

Hyperparameters

I am very grateful to the author for his reply
You can refer to hyperparameters as :

LOL dataset:
Training patches: 4850 (485 x 10)
Validation: 15
Initial learning rate: 5e-5
Final learning rate: 1e-5
Training epochs: 300 (200 is enough)

MIT-5K dataset:
Training patches: 36000 (4500 x 8)
Validation: 500
Initial learning rate: 1e-4
Final learning rate: 1e-6
Training epochs: 100

I miss a wrong in 'scheduler.py'

Sry,when I attemped to use your code,in scheduler.py,there's a wrong Cannot find reference '_LRScheduler' in 'lr_scheduler.pyi'of from torch.optim.lr_scheduler import _LRScheduler.So,how can I solve it ?May you give me a requeirment.txt about your environment? Thanks๏ผ

demo.pyๆ˜พๅญ˜ไธๅคŸ

ๆต‹่ฏ•demo.py ไธบไป€ไนˆ่ฆ่ฐƒๆ•ดๅ›พๅƒๅคงๅฐ๏ผŸๆŠฅ้”™ๆ˜พๅญ˜ไธๅคŸ

MIT_5K pretrained weight does not match the results from the paper

Hi!
From the pretrained weight provided here: https://drive.google.com/file/d/1ErcewI9mTWzJXOm14iWYNaM8qC6srCoK/view,
and the MIT_5K dataset provided here: https://drive.google.com/drive/folders/18bTBJX34I3CjAb9qBDxvHWRPQLYSQcld
The metrics, PSNR and SSIM, are far worse than the results recorded in the paper.
I assume there might be some misupload of the dataset or the pretrained weight,
would you might take a look at the result from your pretrained weight of MIT_5K?

Training Patches

Thank you for your excellent work.

  1. May I ask how to get 4850 training patches? Because LOL only has 485 data.
  2. How long does it take to train an epoch in the training process of LOL dataset ๏ผŸ
    Looking forward to your reply. Thanks again.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.