Python-用Keras实现基于GAN的图像去模糊应用

# What is this repo ? This repository is a Keras implementation of [Deblur GAN](https://arxiv.org/pdf/1711.07064.pdf). You can find a tutorial on how it works on [Medium](https://blog.sicara.com/keras-generative-adversarial-networks-image-deblurring-45e3ab6977b5). Below is a sample result (from left to right: sharp image, blurred image, deblurred image)  # Installation ``` virtualenv venv -p python3 . venv/bin/activate pip install -r requirements/requirements.txt pip install -e . ``` # Dataset Get the [GOPRO dataset](https://drive.google.com/file/d/1H0PIXvJH4c40pk7ou6nAwoxuR4Qh_Sa2/view?usp=sharing), and extract it in the `deblur-gan` directory. The directory name should be `GOPRO_Large`. Use: ``` python scripts/organize_gopro_dataset.py --dir_in=GOPRO_Large --dir_out=images ``` # Training ``` python scripts/train.py --n_images=512 --batch_size=16 --log_dir /path/to/log/dir ``` Use `python scripts/train.py --help` for all options # Testing ``` python scripts/test.py ``` Use `python scripts/test.py --help` for all options # Deblur your own image ``` python scripts/deblur_image.py --weight_path=/path/to/generator.h5 --input_dir=/path/to/image/dir --output_dir=/path/to/deblurred/dir ```