Single image specular removal based on deep learning.
-
Create virtual environment:
conda create -n Specular_Removal python=3.8 conda activate Specular_Removal pip install -r requirements.txt
-
Install
PyTorch
,refer to the blog for details; -
Test environment:
conda activate Specular_Removal python remove_specular.py
-
Download dataset and unzip it to
./data
folder
conda activate Specular_Removal
python train.py
- 《A Multi-Task Network for Joint Specular Highlight Detection and Removal》
- 《CDFF-Net: Cumulative Dense Feature Fusion for Single Image Specular Highlight Removal》
MIT License
Copyright (c) 2021 Huang Zhengzhi
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.