Repository: whitelok/watermark-remover
Branch: master
Commit: b193253fb60c
Files: 2
Total size: 1.7 KB

Directory structure:
gitextract_ef8tau41/

├── .gitignore
└── README.md

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FILE: .gitignore
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.idea/*
.idea
paper/*
paper
.DS_Store
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__pycache__
__pycache__/*


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FILE: README.md
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# Watermark Remover Automatically

**IMPORTANT !!!**

**THANKS FOR SOMEONE SUGGESTION, THIS REPO WILL NOT PROVIDE ANY CODE ANY MORE** 

**WHAT HAD YOU DONE WITH MY CODE IS NO RELATIONSHIP WITH ME**


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## Tips

**Please run with Python 3.6.5**

## Result

### Result with demo images

<div align=left><img width="200" height="360" src="https://github.com/whitelok/watermark-remover/blob/master/.resource/result.png?raw=true"/></div>

### Result with pratical images

<div align=left><img width="668" height="372" src="https://github.com/whitelok/watermark-remover/blob/master/.resource/practical-result.png?raw=true"/></div>

## Docker runtime [**Recommendation**]

 - docker pull whitelok/watermark-remover:v1.0

## Install

 1. `cd watermark-remover; pip3 install -r requirements.txt`
 2. Install opencv Python3 binding.(If you need, I can share one to you)

## Usage

### Demo
  1. `bash train.sh` for training the watermark and alpha saving in result folder and remove watermark from original image.

### Tips

 - Training tips
  1. if the watermark free result is not good enough, you can change `--iters` (refer to train.sh)
  2. if the training process is too long to wait, you can change `--watermark_threshold` (refer to train.sh)
  3. if you get tk_inter error, you can change `--save_result` (refer to train.sh)

### Customer
 1. Put all watermarked images into one folder
 2. python3 main_solver.pyc --path [watermarked images folder]

## Progress and Implemented function

<div align=left><img width="250" height="362" src="https://github.com/whitelok/watermark-remover/blob/master/.resource/progress.png?raw=true"/></div>