[
  {
    "path": ".gitignore",
    "content": ".idea/*\n.idea\npaper/*\npaper\n.DS_Store\n*~\n__pycache__\n__pycache__/*\n"
  },
  {
    "path": "README.md",
    "content": "# Watermark Remover Automatically\n\n**IMPORTANT !!!**\n\n**THANKS FOR SOMEONE SUGGESTION, THIS REPO WILL NOT PROVIDE ANY CODE ANY MORE** \n\n**WHAT HAD YOU DONE WITH MY CODE IS NO RELATIONSHIP WITH ME**\n\n\n---\n\n\n## Tips\n\n**Please run with Python 3.6.5**\n\n## Result\n\n### Result with demo images\n\n<div align=left><img width=\"200\" height=\"360\" src=\"https://github.com/whitelok/watermark-remover/blob/master/.resource/result.png?raw=true\"/></div>\n\n### Result with pratical images\n\n<div align=left><img width=\"668\" height=\"372\" src=\"https://github.com/whitelok/watermark-remover/blob/master/.resource/practical-result.png?raw=true\"/></div>\n\n## Docker runtime [**Recommendation**]\n\n - docker pull whitelok/watermark-remover:v1.0\n\n## Install\n\n 1. `cd watermark-remover; pip3 install -r requirements.txt`\n 2. Install opencv Python3 binding.(If you need, I can share one to you)\n\n## Usage\n\n### Demo\n  1. `bash train.sh` for training the watermark and alpha saving in result folder and remove watermark from original image.\n\n### Tips\n\n - Training tips\n  1. if the watermark free result is not good enough, you can change `--iters` (refer to train.sh)\n  2. if the training process is too long to wait, you can change `--watermark_threshold` (refer to train.sh)\n  3. if you get tk_inter error, you can change `--save_result` (refer to train.sh)\n\n### Customer\n 1. Put all watermarked images into one folder\n 2. python3 main_solver.pyc --path [watermarked images folder]\n\n## Progress and Implemented function\n\n<div align=left><img width=\"250\" height=\"362\" src=\"https://github.com/whitelok/watermark-remover/blob/master/.resource/progress.png?raw=true\"/></div>\n\n\n"
  }
]