NAFNet
NAFNet is a lightweight image deblurring model that eliminates nonlinear activations to achieve state-of-the-art performance with minimal computational cost.
Notes:
Requirements
Install latest OpenCV >=5.0.0 and CMake >= 3.22.2 to get started with.
Demo
Python
Run the following command to try the demo:
# deblur the default input image
python demo.py
# deblur the user input image
python demo.py --input /path/to/image
# get help regarding various parameters
python demo.py --help
C++
# A typical and default installation path of OpenCV is /usr/local
cmake -B build -D OPENCV_INSTALLATION_PATH=/path/to/opencv/installation .
cmake --build build
# deblur the default input image
./build/demo
# deblur the user input image
./build/demo --input=/path/to/image
# get help messages
./build/demo -h
Example outputs
License
All files in this directory are licensed under MIT License.