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Attempt made by George Punter, Alexander T. Luisi, Owen Harcome, Yann Herklotz, Divyansh Manocha and Martin Ferianc for the Huawei Debluring challenge 2017

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Huawei Image challenge

General use

To debur an image you just have to:

$ python main.py --data input.jpg --output output.jpg

Input data

The maximum width is 245 pixels, the maximum height is 78 pixels.

Data Struture

.
├── README.md
├── data                 //Where data is going to be
└── src                  //Where code and pre-processing is going to be
    └── mnist_convnet.py

Git

We use git to control the version and we have following conventions to keep our repository clean and tidy.

Branches Management

Each developer should work in their own branch. Except the master, all branches' name will be prefixed with dev- and concatenated with developers' name or functionalities.

Each developer should only have a master branch and your owning branches in local system.

Each developer should only add and commit to your own branches. If you need to merge it to master, please create a pull request on GitHub.

Virtual Environments

To use the virtual environment, you first have to create it in the repo after you clone it. To do this, use venv to create it, then activate it and finally install all the requirements in the requirements.txt.

$ python -m venv venv
$ . venv/bin/activate
$ pip install -r requirements.txt

When you are done with the virtual environment and with editing the project, you can deactivate it like this.

$ deactivate

Resources

Papers

Wiener Deconvolution

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Attempt made by George Punter, Alexander T. Luisi, Owen Harcome, Yann Herklotz, Divyansh Manocha and Martin Ferianc for the Huawei Debluring challenge 2017

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